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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">MMB</journal-id>
      <journal-title-group>
        <journal-title>Meat and Muscle Biology</journal-title>
      </journal-title-group>
      <issn pub-type="epub"/>
      <publisher>
        <publisher-name>American Meat Science Association</publisher-name>
        <publisher-loc/>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.22175/mmb.9477</article-id>
      <article-id pub-id-type="publisher-id"/>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Impact of Refrigerated Storage Time on Woody Broiler Breast Severity and Instrumental Quality</article-title>
        <alt-title alt-title-type="right-running">Byron et al.   Lessening of Woody Broiler Breast Severity</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Byron</surname>
            <given-names>Michael D.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zhang</surname>
            <given-names>Xue</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Von Staden</surname>
            <given-names>Morgan E.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jarvis</surname>
            <given-names>Tessa R.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Crist</surname>
            <given-names>Courtney A.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zhai</surname>
            <given-names>Wei</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Schilling</surname>
            <given-names>M. W.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
        <aff id="aff1"><label><sup>1</sup></label>Department of Food Science, Nutrition and Health Promotion, <institution>Mississippi State University</institution>, Mississippi State, MS 39762, USA</aff>
        <aff id="aff2"><label><sup>2</sup></label>Department of Poultry Science, <institution>Mississippi State University</institution>, Mississippi State, MS 39762, USA</aff>
      </contrib-group>
      <author-notes>
        <corresp id="cor1"><label>*</label>Corresponding author. Email: <email>schilling@foodscience.msstate.edu</email> (M. W. Schilling)</corresp>
      </author-notes>
      <pub-date date-type="epub" publication-format="electronic">
        <day>00</day>
        <month>00</month>
        <year>0000</year>
      </pub-date>
      <volume>4</volume>
      <issue>1</issue>
      <fpage>1</fpage>
      <lpage>12</lpage>
      <history>
        <date date-type="received">
          <day>20</day>
          <month>08</month>
          <year>2019</year>
        </date>
        <date date-type="accepted">
          <day>18</day>
          <month>11</month>
          <year>2019</year>
        </date>
      </history>
      <permissions>
        <copyright-year>2020</copyright-year>
        <copyright-holder>© The Author(s)</copyright-holder>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-nd/4.0/">
          <license-p>This is an open access article distributed under the CC BY license (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>)</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <p>Chicken breast samples (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn>90</mml:mn></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>30</mml:mn></mml:mrow></mml:math></inline-formula> normal [NOR]; <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>30</mml:mn></mml:mrow></mml:math></inline-formula> moderate [MOD] woody breast [WB]; <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>30</mml:mn></mml:mrow></mml:math></inline-formula> severe [SEV] WB) were collected from a commercial processing plant on 5 separate occasions and were evaluated for severity from d 0 through d 5. A <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3</mml:mn><mml:mo>×</mml:mo><mml:mn>6</mml:mn></mml:mrow></mml:math></inline-formula> two-way factorial structure (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>meat</mml:mi><mml:mtext> </mml:mtext><mml:mi>quality</mml:mi><mml:mtext> </mml:mtext><mml:mi>treatment</mml:mi><mml:mo>×</mml:mo><mml:mi>storage</mml:mi><mml:mtext> </mml:mtext><mml:mi>time</mml:mi></mml:mrow></mml:math></inline-formula>) with 5 replications within a randomized complete block design (replications as blocks) with subsamples was utilized to evaluate the effects of treatment (NOR, MOD, SEV) and storage time (d 0 through 5) on pH, color, cook loss, shear force, and proximate analysis (d 0 and 5). After 5 d of storage at 2°C to 4°C, 84% of SEV WB fillets were evaluated as MOD WB, which was greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than all other storage times. In comparison, 40% to 52% of the MOD WB fillets were rated as slight WB or NOR after 3 to 5 d of storage. Cook loss was less (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) for NOR compared to MOD and SEV breast meat at all storage times. Shear force was greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) for NOR breast meat than MOD and SEV WB meat on d 0. After 2, 3, 4, and 5 d of storage, the upper position (cranial part) of SEV WB had greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) shear force than NOR fillets. Therefore, the lessening of severity that occurred in WB meat over refrigerated storage was apparent through palpation but did not result in improved texture in the cranial portion of the breast, based on shear force and water-holding capacity results. These results are important because they indicate that, even though muscle softening occurred over refrigerated storage time, meat quality did not improve.</p>
      </abstract>
      <kwd-group>
        <title>Keywords:</title>
        <kwd>chicken breast</kwd>
        <kwd>woody breast meat</kwd>
        <kwd>meat quality</kwd>
        <kwd>water-holding capacity</kwd>
        <kwd>shear force</kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="9"/>
        <equation-count count="0"/>
        <ref-count count="33"/>
        <page-count count="12"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>Introduction</title>
      <p>The United States poultry industry, inclusive of broilers, turkeys, and eggs, had a combined total value of $42.7 billion in 2018 (USDA-NASS, 2018). Of this total, 71%, or $30.3 billion, was attributed to the broiler industry (USDA-NASS, 2018). Boneless chicken breast meat is a source of high-quality protein that is low fat (<xref ref-type="bibr" rid="r10">Hoffman and Falvo, 2004</xref>; <xref ref-type="bibr" rid="r5">Brambila et al., 2017</xref>). With the continued increase in demand for chicken meat, the US poultry industry has adopted the use of high-yielding broiler genetic strains and the implementation of big bird programs. These broilers grow in half the time and weigh twice as much at the time of slaughter compared to broilers from 50 y ago (<xref ref-type="bibr" rid="r4">Barbut et al., 2008</xref>). Along with the increased production of higher-yielding birds, especially those that weigh greater than 4.2 kg at the time of slaughter, producers have noticed an increased incidence of myopathies that affect the <italic>pectoralis major</italic> muscle such as woody breast (WB) (<xref ref-type="bibr" rid="r13">Owens, 2016</xref>). WB has been characterized as normal (NOR) (0), mild (1), moderate (MOD) (2), and severe (SEV) (3) (<xref ref-type="bibr" rid="r29">Tijare et al., 2016</xref>). The characterization definitions are as follows: NOR (0) is flexible throughout the breast fillet; mild (1) is hard, mainly in the cranial region, and flexible at the caudal region; MOD (2) is hard throughout the fillet with some flexibility in the mid to caudal region; and SEV (3) WB meat is extremely hard throughout the fillet (<xref ref-type="bibr" rid="r29">Tijare et al., 2016</xref>). White striping is characterized by white striated lines running parallel to the muscle fibers (<xref ref-type="bibr" rid="r14">Kuttappan et al., 2013</xref>).</p>
      <p>The US Department of Agriculture Food Safety and Inspection Service (USDA-FSIS, 2018) has reissued dispositions instruction for broiler breast meat that is affected by WB and white striping. The disposition instructions state that inflammatory tissue that accompanies the WB condition is considered adulterated and unwholesome and must be trimmed as with other defects (USDA-FSIS, 2018). The WB myopathy results in an excess of $200 million in losses per year (estimated) due to decreased yield (e.g., trimming, drip loss, cook loss, etc.) and/or lost value if product is downgraded or discarded (<xref ref-type="bibr" rid="r13">Kuttappan et al., 2016</xref>; <xref ref-type="bibr" rid="r13">Owens, 2016</xref>). According to <xref ref-type="bibr" rid="r6">Cai et al. (2018)</xref>, WB meat has a higher pH and is lighter, less red, and more yellow than NOR breast fillets. <xref ref-type="bibr" rid="r16">Mudalal et al. (2015)</xref> reported that WB fillets had lower marinade pickup and greater cooking loss in both unprocessed and marinated meat in comparison to NOR broiler breast meat. Sensory results indicate that SEV WB is also crunchier and more fibrous compared to NOR breast meat (<xref ref-type="bibr" rid="r1">Aguirre et al., 2018</xref>). Based on our experience visiting poultry companies and through research on woody breast meat quality, we noticed that the severity of the WB condition may lessen after storing the meat under refrigeration temperature for a few days. <xref ref-type="bibr" rid="r26">Soglia et al. (2018)</xref> and <xref ref-type="bibr" rid="r27">Sun et al. (2018)</xref> also noticed a softening effect of WB meat over cold storage time. The objective of this research was to evaluate and compare the instrumental quality traits (color, pH, purge and cook loss, proximate composition, and shear force) of NOR and WB fillets (MOD and SEV) from a local broiler plant over storage time and determine whether the condition diminishes over storage time at 2°C to 4°C. The goals of this research were to determine the following: (1) whether softening of WB from a local broiler strain occurs over refrigerated storage time; (2) if softening does occur, whether it is related to any previously mentioned instrumental attributes; and (3) if softening does occur, whether the softening results in improved meat quality.</p>
    </sec>
    <sec id="sec2">
      <title>Materials and Methods</title>
      <sec id="sec2.1">
        <title>Broiler breast meat</title>
        <p>Ninety chicken breast samples were evaluated, 30 from each of the following 3 breast meat categories: NOR, MOD, and SEV (<xref ref-type="bibr" rid="r29">Tijare et al., 2016</xref>). Samples were collected on 5 separate occasions (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications) by a plant employee and 2 members of our research team at the time of deboning (approximately 4 h postmortem), from the deboning line of a commercial processing plant that processed 9-wk-old Ross 708 broilers that weighed approximately 4 to 4.2 kg, and were sent to Mississippi State University on ice. After arriving at Mississippi State University, the breasts were confirmed again for the degree of hardening and flexibility within the muscle by a member of our research team who did not evaluate the samples at the plant using a method reported by <xref ref-type="bibr" rid="r29">Tijare et al. (2016)</xref>. A breast was considered NOR when it did not contain any regions of hardening and was flexible throughout the entire muscle (<xref ref-type="bibr" rid="r29">Tijare et al., 2016</xref>). Mild was defined as hard, mainly in the cranial region, and flexible at the caudal region (only evaluated in diminishment or lessening of severity analysis). MOD was hard throughout the fillet with some flexibility in the mid to caudal region (<xref ref-type="bibr" rid="r29">Tijare et al., 2016</xref>). SEV WB meat was extremely hard throughout the fillet (<xref ref-type="bibr" rid="r29">Tijare et al., 2016</xref>). Each breast was given a score between 0 and 3 (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>0</mml:mn><mml:mo>=</mml:mo><mml:mi>NOR</mml:mi></mml:mrow></mml:math></inline-formula> or no expression of the trait evaluated; 1 = mild WB; 2 = MOD WB; 3 = SEV WB chicken). The chicken breast samples (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>30</mml:mn></mml:mrow></mml:math></inline-formula>) from each category (NOR, MOD, and SEV) were randomly assigned to 6 groups on d 0 postmortem (storage time: d 0, 1, 2, 3, 4, and 5) with 5 breast samples in each group that were individually packaged in 0.908 L Ziploc bags (S. C. Johnson &amp; Son, Inc., Racine, WI) for analysis from d 0 through d 5. WB scoring, instrumental color, pH, cooking loss, and shear force were evaluated for all samples. In addition, 6 chicken breast samples of each category were randomly selected for proximate analysis on d 0 and d 5. All chicken breast samples were stored in a cooler at <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2</mml:mn><mml:mo>°</mml:mo><mml:mi mathvariant="normal">C</mml:mi><mml:mo>±</mml:mo><mml:mn>1</mml:mn><mml:mo>°</mml:mo><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> prior to analysis.</p>
      </sec>
      <sec id="sec2.2">
        <title>Color</title>
        <p>Color measurements were taken from 5 chicken breasts (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications with 5 breast subsamples within each replication) from each of the 3 categories (NOR, MOD, and SEV) on each day (d 0 through d 5). Color was evaluated and expressed as Commission Internationale de l’Eclairage (CIE; “International Commission on Illumination”) L* (lightness), a* (redness), b* (yellowness) at 3 different locations (cranial, medial, and caudal, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>3</mml:mn></mml:mrow></mml:math></inline-formula> sub-subsamples within each breast) on the ventral side of each fillet (<xref ref-type="fig" rid="f1">Fig. 1</xref>) using a HunterLab MiniScan EZ spectrophotometer (31.8-mm port size, 0° observer angle, and 45° circumferential illumination; Model 4500L, Hunter Associates Laboratory, Inc., Reston, VA). The instrument calibration was carried out using a standard white Hunter MiniScan calibration plate.</p>
        <fig id="f1">
          <label>Figure 1.</label>
          <caption>
            <p>Sampling positions for color (circles) and pH (squares) measurements.</p>
          </caption>
          <graphic xlink:href="1.png"/>
        </fig>
      </sec>
      <sec id="sec2.3">
        <title>pH analysis</title>
        <p>pH measurements were taken from 2 locations in the cranial region and 2 from the caudal region (4 sub-subsamples) from 5 chicken breasts (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications with 5 breast subsamples within each replication) from each of the 3 categories (NOR, MOD, and SEV) on each day (d 0 through d 5) (<xref ref-type="fig" rid="f1">Fig. 1</xref>). Breast fillets were analyzed for pH using a pH meter (Model Accumet 61, Fisher Scientific, Hampton, NH) with a meat penetrating probe (Model FlexipHet SS Penetration tip, Cole Palmer, Vernon Hills, IL). Prior to analyzing chicken breast fillets, the pH probe was standardized using calibration buffer solutions (pH 4 and 7). Additionally, after 10 pH measurements, the pH meter was recalibrated to ensure measurement accuracy.</p>
      </sec>
      <sec id="sec2.4">
        <title>Purge loss</title>
        <p>Purge loss percentages were calculated from d 1 through d 5. Broiler breast fillets (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications with 5 breast subsamples per replication) were individually sealed in 0.908 L Ziploc bags (S. C. Johnson &amp; Son, Inc., Racine, WI) and stored at 2°C to 4°C for a total of 6 d. Starting on d 1 (day after slaughter), each breast fillet was weighed with any purge that remained in the Ziploc bag. Breast fillets were then removed from the bag to allow any excess purge to drip back into the weighing container and reweighed. The difference in weight was used to determine purge loss.</p>
      </sec>
      <sec id="sec2.5">
        <title>Cooking loss</title>
        <p>Following pH and color evaluations, the same breast fillets (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications with 5 breast subsamples per replication) were used to determine cook loss and shear force. Each breast was trimmed to <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>220</mml:mn><mml:mo>±</mml:mo><mml:mn>10</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi mathvariant="normal">g</mml:mi></mml:mrow></mml:math></inline-formula> for even cooking and cooling. Each breast was weighed, placed on aluminum foil–wrapped baking sheets, and baked in a preheated oven at 177°C (Viking, Greenwood, MS) to a final internal temperature of 77°C. The internal temperature of the chicken samples was monitored using a meat thermometer (Model 14709, Digital Meat Thermometer, Taylor Precision Products, Oak Brook, IL). Cooked breast fillets were cooled to room temperature (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>22</mml:mn><mml:mo>°</mml:mo><mml:mi mathvariant="normal">C</mml:mi><mml:mo>±</mml:mo><mml:mn>2</mml:mn><mml:mo>°</mml:mo><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>). Excess moisture was drained, and the cooked weight was measured. Cooking loss was reported as a percentage and calculated as follows: <disp-formula><mml:math display="block" pmg:marginbottom="-10pt" pmg:margintop="2pt"><mml:mrow><mml:mfrac><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>Initial</mml:mi><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>weight</mml:mi><mml:mo>−</mml:mo><mml:mi>final</mml:mi><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>weight</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>Initial</mml:mi><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>weight</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mfrac><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mo>×</mml:mo><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mn>100</mml:mn></mml:mrow></mml:math></disp-formula></p>
      </sec>
      <sec id="sec2.6">
        <title>Warner-Bratzler shear force determination</title>
        <p>Warner-Bratzler shear force is an objective measurement of the amount of shear force that is necessary to cut through meat, which is an indicator of tenderness. WB is often localized to the top and bottom part of the breast. Therefore, Warner-Bratzler shear force was used to measure shear force of the top, middle, and bottom of the breast meat to determine whether shear force values differed over storage time between WB and NOR breast meat samples in the top, middle, and bottom parts of the breast. The samples used to determine cook loss were used to evaluate shear force (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications with 5 breast subsamples per replication). Six adjacent 1 cm (width) × 1 cm (thickness) ×  2 cm (length) pieces were cut from each cooked breast, parallel to the muscle fiber. Two pieces (sub-subsamples) were cut from the cranial (upper), 2 (sub-subsamples) from the middle, and 2 (sub-subsamples) from the caudal (lower) region (<xref ref-type="fig" rid="f2">Fig. 2</xref>). Samples were sheared using a Warner-Bratzler shear attachment that was mounted to an Instron Universal Testing Center (Model 3345, Instron, Norwood, MA), and shear force was reported as the maximum amount of force (newtons) required to shear through the piece of chicken.</p>
        <fig id="f2">
          <label>Figure 2.</label>
          <caption>
            <p>Sampling positions for shear force measurements.</p>
          </caption>
          <graphic xlink:href="2.png"/>
        </fig>
      </sec>
      <sec id="sec2.7">
        <title>Proximate analysis</title>
        <p>On d 0 and d 5 (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications with 3 breast subsamples per replication), chicken breast samples from each category (NOR, MOD, and SEV) were analyzed for fat, protein, moisture, and collagen content, with duplicate measurements per chicken breast. Each sample was homogenized using a food processor (3-cup mini-chopper, Sunbeam-Oster 200 E Las Olas Blvd, Fort Lauderdale, FL) and packed tightly in a 140-mm diameter sample cup prior to analysis. Proximate composition (protein, fat, collagen, and moisture) was measured using a near-infrared spectrometer (Food Scan Lab Analyzer, Model 7880, Foss Analytical, Eden Prairie, MN) that is approved by the Association of Official Analytical Chemists (AOAC) (AOAC, 2007).</p>
      </sec>
      <sec id="sec2.8">
        <title>Diminishment</title>
        <p>On d 0 through d 5, fillets were tactilely evaluated by the same person for degree of woodiness according to grading criteria from previous research (<xref ref-type="bibr" rid="r29">Tijare et al., 2016</xref>). WB characterization was performed to determine the percentage of fillets out of 25 (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula> replications with 5 breast subsamples) at each storage time to evaluate the diminishment or lessening of SEV WB meat. Diminishment was defined as the change of SEV WB fillets to MOD/mild WB or NOR breast and the change of MOD WB to mild WB or NOR breast meat. The diminishment percentage was calculated by the number of WB samples that lessened in severity divided by the total number of chicken breasts evaluated (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
      </sec>
      <sec id="sec2.9">
        <title>Statistical analysis</title>
        <p>A <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3</mml:mn><mml:mo>×</mml:mo><mml:mn>6</mml:mn></mml:mrow></mml:math></inline-formula> two-way factorial structure (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>meat</mml:mi><mml:mtext> </mml:mtext><mml:mi>quality</mml:mi><mml:mi>treatment</mml:mi><mml:mo>×</mml:mo><mml:mi>storage</mml:mi><mml:mtext> </mml:mtext><mml:mi>time</mml:mi></mml:mrow></mml:math></inline-formula>) with 5 replications within a randomized complete block design (replications as blocks) with subsamples (5 breast samples) was utilized to test the effects of treatment (NOR, MOD, SEV) and storage time (d 0 through d 5) (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on color, pH, purge loss, cook loss, and shear force (SAS version 9.4, SAS Institute Inc., Cary, NC). When differences existed (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) among treatments, Duncan’s multiple range test was used to separate treatment means.</p>
        <p>A 3 × 2 two-way factorial structure (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>meat</mml:mi><mml:mtext> </mml:mtext><mml:mi>quality</mml:mi><mml:mi>treatment</mml:mi><mml:mo>×</mml:mo><mml:mi>storage</mml:mi><mml:mtext> </mml:mtext><mml:mi>time</mml:mi></mml:mrow></mml:math></inline-formula>) with 5 replications within a randomized complete block design (replications as blocks) with subsamples (3 breast samples) was utilized to test the effects of treatment (NOR, MOD, SEV) and storage time (d 0 and d 5) (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on proximate analysis (SAS version 9.4, SAS Institute Inc., Cary, NC). When differences existed (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) among treatments, Duncan’s multiple range test was used to separate treatment means. For both experimental designs, a two-way ANOVA was used to determine whether statistical differences existed (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) for main effects and interaction.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>Results and Discussion</title>
      <sec id="sec3.1">
        <title>Color: CIE L* (lightness)</title>
        <p>There was no interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) present between severity and storage time for CIE L*. When averaged over days, MOD and SEV WB were lighter (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than NOR breast fillets (<xref ref-type="table" rid="t1">Table 1</xref>). On d 0, there was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in lightness (L*) between NOR, MOD, and SEV WB fillets (<xref ref-type="table" rid="t1">Table 1</xref>). On d 1 through 5, SEV WB fillets had greater L* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than NOR breast fillets at every storage time but d 4, and MOD WB had greater L* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than NOR breast fillets on d 1, 2, 4, and 5. NOR breast fillets became darker as storage time increased to d 4 and 5, since L* was greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) at d 0 and 1 than at d 4 and 5. For MOD WB fillets, there was not a difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in lightness over storage time, with the exception that L* values of MOD WB fillets were less (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 4 than on d 1. SEV WB fillets had greater L* (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 0, 1, 2, and 3 than on d 4. Lightness at d 5 did not differ from any other storage times for SEV WB other than d 1. NOR breast fillets had an L* value from 60.5 to 63.0 and an overall average of 61.7. MOD WB fillets had an L* value from 62.5 to 63.8 with an overall average of 63.3. SEV WB fillets had a L* value from 62.0 to 64.5 and an overall average of 63.6. These results are similar to the difference in L* values reported by <xref ref-type="bibr" rid="r3">Baldi et al. (2017)</xref> and <xref ref-type="bibr" rid="r6">Cai et al. (2018)</xref>. These researchers reported that L* values for NOR breast fillets were, on average, 3 units less than that of WB meat. In contrast, <xref ref-type="bibr" rid="r8">Chatterjee et al. (2016)</xref> reported no difference in L* value between WB and NOR broiler breasts. This lack of difference may have been because these researchers measured color on the dorsal portion of the breast in comparison to the current research, in which the ventral portion of the breast was evaluated. It is likely that the greater lightness in WB meat is due to a higher percentage of moisture in the product in WB meat in comparison to NOR meat, which would cause greater light reflectance and a lighter color (<xref ref-type="bibr" rid="r20">Qiao et al., 2001</xref>).</p>
        <table-wrap id="t1">
          <label>Table 1.</label>
          <caption>
            <p>Instrumental color CIE L* (lightness) measurements of normal breast meat, moderate woody breast meat, and severe woody breast meat that were stored from d 0 (day of processing) through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col width="9*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
            </colgroup>
            <thead>
              <tr>
                <th>Treatment</th>
                <th>Day 0</th>
                <th>Day 1</th>
                <th>Day 2</th>
                <th>Day 3</th>
                <th>Day 4</th>
                <th>Day 5</th>
                <th align="center">Average</th>
                <th>SEM</th>
                <th><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>63.0<sup>aA</sup></td>
                <td>62.7<sup>bA</sup></td>
                <td>61.5<sup>bAB</sup></td>
                <td>61.8<sup>bAB</sup></td>
                <td>60.7<sup>bB</sup></td>
                <td>60.5<sup>bB</sup></td>
                <td>61.7</td>
                <td>0.19</td>
                <td>0.0004</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>63.6<sup>aAB</sup></td>
                <td>64.3<sup>aA</sup></td>
                <td>63.2<sup>aAB</sup></td>
                <td>62.8<sup>abAB</sup></td>
                <td>62.5<sup>aB</sup></td>
                <td>63.5<sup>aAB</sup></td>
                <td>63.3</td>
                <td>0.16</td>
                <td>0.032</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>64.1<sup>aAB</sup></td>
                <td>64.5<sup>aA</sup></td>
                <td>64.1<sup>aAB</sup></td>
                <td>64.0<sup>aAB</sup></td>
                <td>62.0<sup>abC</sup></td>
                <td>62.7<sup>aBC</sup></td>
                <td>63.6</td>
                <td>0.19</td>
                <td>0.001</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td>0.32</td>
                <td>0.25</td>
                <td>0.23</td>
                <td>0.24</td>
                <td>0.24</td>
                <td>0.26</td>
                <td/>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td>0.392</td>
                <td>0.01</td>
                <td align="center">
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:mo form="prefix">&lt;</mml:mo>
                        <mml:mn>0.0001</mml:mn>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                </td>
                <td>0.0018</td>
                <td>0.0086</td>
                <td align="center">
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:mo form="prefix">&lt;</mml:mo>
                        <mml:mn>0.0001</mml:mn>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                </td>
                <td/>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t1fn1">
              <p>a–b: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t1fn2">
              <p>A–C: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t1fn3">
              <p>CIE = Commission Internationale de l’Eclairage (International Commission on Illumination); MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.2">
        <title>Color: CIE a* (redness)</title>
        <p>There was no interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) present between severity and storage time for CIE a*. On d 0 and 4, redness (CIE a*) values were higher (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) for SEV WB fillets than NOR breast fillets (<xref ref-type="table" rid="t2">Table 2</xref>). On d 1, 2, 3, and 5, there was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in redness among NOR, MOD WB, and SEV WB fillets. NOR and MOD WB breast fillets had lower a* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 0 than at d 1 through 5, which did not differ in redness. SEV WB fillets had greater a* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 4 than on d 1 and 2. NOR breast fillets had a CIE a* value range of 4.0 to 5.6 and an overall average of 5.0. MOD WB fillets had a CIE a* value range of 4.2 to 5.5 and an overall average of 5.1, and SEV WB fillets had a CIE a* value range of 4.7 to 5.9 and an overall average of 5.2. <xref ref-type="bibr" rid="r15">Mudalal et al. (2014)</xref> and <xref ref-type="bibr" rid="r3">Baldi et al. (2017)</xref> also reported no difference in a* values between NOR breast meat and WB meat. In contrast, <xref ref-type="bibr" rid="r9">Dalle Zotte et al. (2014)</xref>, <xref ref-type="bibr" rid="r7">Cando (2016)</xref>, and <xref ref-type="bibr" rid="r6">Cai et al. (2018)</xref> reported that WB meat has a slightly redder (higher a*) color than NOR breast meat. Though these researchers reported statistical differences, there was very little numerical or practical difference between treatments. Lack of difference in a* value is likely due to a low concentration of the meat pigment myoglobin in broiler breast meat (Kim et al., 2008).</p>
        <table-wrap id="t2">
          <label>Table 2.</label>
          <caption>
            <p>Instrumental color CIE a* (redness) measurements of normal breast meat, moderate woody breast meat, and severe woody breast meat that were stored from d 0 (day of processing) through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides">
            <colgroup width="9*"/>
            <colgroup>
              <col width="10*"/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
            </colgroup>
            <thead>
              <tr>
                <th>Treatment</th>
                <th>Day 0</th>
                <th>Day 1</th>
                <th>Day 2</th>
                <th>Day 3</th>
                <th>Day 4</th>
                <th>Day 5</th>
                <th>Average</th>
                <th>SEM</th>
                <th><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>3.96<sup>bB</sup></td>
                <td>4.92<sup>aA</sup></td>
                <td>5.06<sup>aA</sup></td>
                <td>5.51<sup>aA</sup></td>
                <td>4.94<sup>bA</sup></td>
                <td>5.55<sup>aA</sup></td>
                <td>5.0</td>
                <td>0.08</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>4.15<sup>abB</sup></td>
                <td>5.04<sup>aA</sup></td>
                <td>5.45<sup>aA</sup></td>
                <td>5.48<sup>aA</sup></td>
                <td>5.34<sup>abA</sup></td>
                <td>5.12<sup>aA</sup></td>
                <td>5.1</td>
                <td>0.08</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>4.69<sup>aC</sup></td>
                <td>4.81<sup>aBC</sup></td>
                <td>5.15<sup>aBC</sup></td>
                <td>5.06<sup>aBC</sup></td>
                <td>5.90<sup>aA</sup></td>
                <td>5.34<sup>aAB</sup></td>
                <td>5.2</td>
                <td>0.09</td>
                <td>0.001</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td>0.12</td>
                <td>0.11</td>
                <td>0.12</td>
                <td>0.10</td>
                <td>0.13</td>
                <td>0.01</td>
                <td/>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td>0.045</td>
                <td>0.684</td>
                <td>0.362</td>
                <td>0.127</td>
                <td>0.012</td>
                <td>0.195</td>
                <td/>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t2fn1">
              <p>a–b: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mtext> </mml:mtext><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t2fn2">
              <p>A–C: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mtext> </mml:mtext><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t2fn3">
              <p>CIE = Commission Internationale de l’Eclairage (International Commission on Illumination); MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.3">
        <title>Color: CIE b* (yellowness)</title>
        <p>Interaction was present (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) between severity and storage time with respect to CIE b*. This was due to NOR increasing in CIE b* over time and the MOD and SEV treatments remaining relatively constant over storage time. On d 0, NOR breast fillets had lower b* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than SEV WB fillets. One d 1, however, NOR breast fillets had greater b* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than MOD WB fillets. On d 2 through 4, there was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in b* values among NOR breast fillets, MOD WB fillets, and SEV WB fillets (<xref ref-type="table" rid="t3">Table 3</xref>). On d 5, NOR breast fillets had greater b* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than SEV WB fillets. On d 1 through 5, there was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in b* values among NOR breast fillets, but NOR breast meat had lower b* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 0 than on other days. The MOD WB fillets on d 0 had lower b* values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than on d 3, but no other differences existed (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>). For SEV WB, breast fillets had lower b* values on d 5 than on d 1 through 4. This is opposite to the trend for NOR breast fillets in which b* was greater after d 0. NOR breast fillets had b* values ranging from 14.1 to 17.0 with an overall average of 16.1. MOD WB fillets had b* values ranging from 14.9 to 16.2 with an overall average of 15.6. SEV WB fillets had b* values ranging from 14.6 to 16.3 and had an overall average of 15.8. Overall, there were minimal practical differences in b* values among NOR, MOD WB, and SEV WB fillets. In contrast, it has been reported that WB meat is more yellow than NOR breast meat (<xref ref-type="bibr" rid="r7">Cando, 2016</xref>; <xref ref-type="bibr" rid="r3">Baldi et al., 2017</xref>; <xref ref-type="bibr" rid="r6">Cai et al., 2018</xref>). Reasons for differences in b* values between the current research and previously reported research may be due to instrumental differences since a Hunter colorimeter was used in the current study and Minolta chroma meters (Konica Minolta Sensing Americas, Inc., Ramsey, NJ) were used in the previous research, which may also have differed in calibration tiles, observer angle, and light source. Differences may also be due to evaluating CIE b* over storage time in the current study in comparison to other studies in which CIE b* was only measured at 24 h postmortem.</p>
        <table-wrap id="t3">
          <label>Table 3.</label>
          <caption>
            <p>Instrumental color CIE b* (yellowness) measurements of normal breast meat, moderate woody breast meat, and severe woody breast meat that were stored from d 0 (day of processing) through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="9*"/>
            <colgroup>
              <col width="10*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="9*"/>
              <col width="9*" align="char" char="."/>
              <col width="9*" align="char" char="."/>
            </colgroup>
            <thead>
              <tr>
                <th>Treatment</th>
                <th>Day 0</th>
                <th>Day 1</th>
                <th>Day 2</th>
                <th>Day 3</th>
                <th>Day 4</th>
                <th>Day 5</th>
                <th>Average</th>
                <th>SEM</th>
                <th align="center"><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>14.1<sup>bB</sup></td>
                <td>16.5<sup>aA</sup></td>
                <td>16.5<sup>aA</sup></td>
                <td>17.0<sup>aA</sup></td>
                <td>16.0<sup>aA</sup></td>
                <td>16.5<sup>aA</sup></td>
                <td>16.1</td>
                <td>0.202</td>
                <td>0.001</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>14.9<sup>abB</sup></td>
                <td>15.3<sup>bAB</sup></td>
                <td>15.8<sup>aAB</sup></td>
                <td>16.2<sup>aA</sup></td>
                <td>15.6<sup>aAB</sup></td>
                <td>15.5<sup>abAB</sup></td>
                <td>15.6</td>
                <td>0.171</td>
                <td>0.292</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>15.7<sup>aAB</sup></td>
                <td>16.3<sup>abA</sup></td>
                <td>16.0<sup>aA</sup></td>
                <td>16.2<sup>aA</sup></td>
                <td>16.1<sup>aA</sup></td>
                <td>14.6<sup>bB</sup></td>
                <td>15.8</td>
                <td>0.142</td>
                <td>0.005</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td>0.25</td>
                <td>0.20</td>
                <td>0.27</td>
                <td>0.22</td>
                <td>0.28</td>
                <td>0.25</td>
                <td/>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td>0.038</td>
                <td>0.043</td>
                <td>0.573</td>
                <td>0.246</td>
                <td>0.738</td>
                <td>0.008</td>
                <td/>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t3fn1">
              <p>a–b: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t3fn2">
              <p>A–B: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t3fn3">
              <p>CIE = Commission Internationale de l’Eclairage (International Commission on Illumination); MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.4">
        <title>pH values</title>
        <p>There was no interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) present between severity and storage time for pH. SEV and MOD WB fillets had higher pH values than NOR breast fillets (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on all days (<xref ref-type="table" rid="t4">Table 4</xref>). SEV WB fillets had higher pH values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than MOD WB on d 1, 3, 4, and 5. For NOR fillets, there was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in pH values on d 0, 2, 3, and 4. In addition, pH values of NOR breast fillets on d 1 and 5 were higher (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than on d 0 and 3. Even though slight differences existed between pH values for NOR breast fillets, all pH values were very similar to each other over storage time with average values between 5.76 and 5.84. For MOD WB fillets, no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) existed in pH values over storage time. SEV WB fillets had greater pH values (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 5 than on d 2 and 4, but no other differences (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) existed among storage time. Average pH values ranged from 5.76 to 5.84 for NOR breast fillets, 5.92 to 5.98 for MOD WB fillets, and 5.96 to 6.07 for SEV WB fillets over 5 d of storage at 2°C. <xref ref-type="bibr" rid="r9">Dalle Zotte et al. (2014)</xref>, <xref ref-type="bibr" rid="r3">Baldi et al. (2017)</xref>, and <xref ref-type="bibr" rid="r6">Cai et al. (2018)</xref> also reported that the pH of WB meat was greater than that of NOR meat, with similar values to the current study. In contrast, <xref ref-type="bibr" rid="r25">Soglia et al. (2016)</xref> reported no difference between the pH values of NOR breast fillets and WB fillets. Current results are similar to previous research and indicative that there were minimal changes in pH differences over storage time for NOR, MOD, or SEV breast fillets. The higher pH in the WB meat may be due to the presence of less adenosine triphosphate and creatine phosphate in the muscle at the time of death (<xref ref-type="bibr" rid="r6">Cai et al., 2018</xref>). Because greater oxidative stress has occurred in muscle that becomes WB, there is less energy available in the muscle to convert to lactic acid, which results in a greater pH (<xref ref-type="bibr" rid="r22">Sihvo, 2019</xref>). A greater pH is usually indicative of better color, greater water-holding capacity in NOR meat, and better sensory tenderness and juiciness because the pH is further away from the isoelectric points of myosin and actin (<xref ref-type="bibr" rid="r18">Pearson and Gillett, 1996</xref>). However, in WB meat, this is not the case since there is less protein, the protein is partially denatured, and there is often more fat and collagen present in WB meat in comparison to NOR breast meat (<xref ref-type="bibr" rid="r25">Soglia et al., 2016</xref>).</p>
        <table-wrap id="t4">
          <label>Table 4.</label>
          <caption>
            <p>pH measurements from normal breast meat, moderate woody breast meat, and severe woody breast meat that were stored from d 0 (day of processing) through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="11*"/>
            <colgroup>
              <col width="11*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="10*"/>
            </colgroup>
            <thead>
              <tr>
                <th>Treatment</th>
                <th>Day 0</th>
                <th>Day 1</th>
                <th>Day 2</th>
                <th>Day 3</th>
                <th>Day 4</th>
                <th>Day 5</th>
                <th>SEM</th>
                <th><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>5.76<sup>bB</sup></td>
                <td>5.84<sup>cA</sup></td>
                <td>5.80<sup>bAB</sup></td>
                <td>5.76<sup>cB</sup></td>
                <td>5.80<sup>cAB</sup></td>
                <td>5.83<sup>cA</sup></td>
                <td>0.01</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>5.98<sup>aA</sup></td>
                <td>5.96<sup>bA</sup></td>
                <td>5.92<sup>aA</sup></td>
                <td>5.93<sup>bA</sup></td>
                <td>5.92<sup>bA</sup></td>
                <td>5.97<sup>bA</sup></td>
                <td>0.01</td>
                <td>0.089</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>6.03<sup>aAB</sup></td>
                <td>6.03<sup>aAB</sup></td>
                <td>5.96<sup>aB</sup></td>
                <td>6.00<sup>aAB</sup></td>
                <td>5.98<sup>aB</sup></td>
                <td>6.07<sup>aA</sup></td>
                <td>0.01</td>
                <td>0.001</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td>0.01</td>
                <td>0.01</td>
                <td>0.01</td>
                <td>0.01</td>
                <td>0.01</td>
                <td>0.01</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t4fn1">
              <p>a–c: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mtext> </mml:mtext><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t4fn2">
              <p>A–B: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mtext> </mml:mtext><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t4fn3">
              <p>MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.5">
        <title>Purge loss</title>
        <p>There was no interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) present between severity and storage time for purge loss. Purge loss increased throughout storage time for NOR, MOD, and SEV breast fillets (<xref ref-type="table" rid="t5">Table 5</xref>). In addition, purge loss was less (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) for NOR breast fillets than SEV WB fillets after 1 and 2 d of storage. However, after 3 to 5 d of storage, no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) existed in purge among NOR, MOD, and SEV WB fillets. In previous research conducted by <xref ref-type="bibr" rid="r27">Sun et al. (2018)</xref>, the cumulative drip loss over storage was greater for SEV WB than NOR chicken breasts, which is in agreement with the current study. However, <xref ref-type="bibr" rid="r15">Mudalal et al. (2014)</xref> reported that there was no difference in purge loss percentage between NOR breast meat and WB meat with an average purge loss of 1.3% for both NOR and WB meat after 48 h of storage at 2°C to 4°C. The most significant implications of these data are that SEV WB fillets had greater purge loss than NOR breast fillets and that NOR, MOD, and SEV WB samples all had significant increases in purge loss over storage time, which is indicative of decreased meat quality over storage time. The greater initial purge loss in SEV WB fillets may be due to less protein, greater moisture, and more protein degradation, specifically with the z-line and desmin in WB in comparison to NOR breast fillets (<xref ref-type="bibr" rid="r25">Soglia et al., 2016</xref>; <xref ref-type="bibr" rid="r19">Petracci et al., 2019</xref>).</p>
        <table-wrap id="t5">
          <label>Table 5.</label>
          <caption>
            <p>Purge loss (%) from normal breast meat, moderate woody breast meat, and severe woody breast meat that were stored from d 0 (day of processing) through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12*"/>
            <colgroup>
              <col width="12*"/>
              <col width="12*" align="char" char="."/>
              <col width="12*"/>
              <col width="12*" align="char" char="."/>
              <col width="12*" align="char" char="."/>
              <col width="12*"/>
              <col width="12*"/>
            </colgroup>
            <thead>
              <tr>
                <th>Treatment</th>
                <th>Day 1</th>
                <th>Day 2</th>
                <th>Day 3</th>
                <th>Day 4</th>
                <th>Day 5</th>
                <th>SEM</th>
                <th align="center"><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>0.54<sup>bC</sup></td>
                <td>0.84<sup>bBC</sup></td>
                <td>1.61<sup>aAB</sup></td>
                <td>1.56<sup>aB</sup></td>
                <td>2.56<sup>aA</sup></td>
                <td>0.11</td>
                <td>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:mo form="prefix">&lt;</mml:mo>
                        <mml:mn>0.0001</mml:mn>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                </td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>0.50<sup>bB</sup></td>
                <td>1.46<sup>aBA</sup></td>
                <td>1.69<sup>aA</sup></td>
                <td>2.40<sup>aA</sup></td>
                <td>1.85<sup>aA</sup></td>
                <td>0.12</td>
                <td>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:mo form="prefix">&lt;</mml:mo>
                        <mml:mn>0.0001</mml:mn>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                </td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>1.05<sup>aB</sup></td>
                <td>1.43<sup>aB</sup></td>
                <td>1.90<sup>aAB</sup></td>
                <td>2.48<sup>aA</sup></td>
                <td>2.49<sup>aA</sup></td>
                <td>0.10</td>
                <td>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:mo form="prefix">&lt;</mml:mo>
                        <mml:mn>0.0001</mml:mn>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                </td>
              </tr>
              <tr>
                <td>SEM</td>
                <td>0.08</td>
                <td>0.10</td>
                <td>0.16</td>
                <td>0.18</td>
                <td>0.16</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td>0.0160</td>
                <td>0.01580</td>
                <td>0.7157</td>
                <td>0.0740</td>
                <td>0.1302</td>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t5fn1">
              <p>a–b: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t5fn2">
              <p>A–C: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t5fn3">
              <p>MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.6">
        <title>Cooking loss</title>
        <p>There was no interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) present between severity and storage time for cook loss. SEV and MOD WB had greater cook loss (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than NOR breast fillets at every storage time (<xref ref-type="table" rid="t6">Table 6</xref>). SEV WB had greater cooking loss than MOD WB on d 0, but there were no differences between MOD and SEV WB from d 1 to 5 of storage (<xref ref-type="table" rid="t6">Table 6</xref>). NOR breast fillets had greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) cooking loss on d 0 and 3 than on d 4. This difference may be partially due to an increase in purge loss over storage time. There was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in cook loss percentages for MOD and SEV WB fillets on d 0 through 5. Cook loss percentages ranged from 22.3% to 26.0% for NOR, 28.3% to 30.2% for MOD WB, and 29.5% to 32.3% for SEV WB. Results from this research confirm results from previous research. <xref ref-type="bibr" rid="r9">Dalle Zotte et al. (2014)</xref>, <xref ref-type="bibr" rid="r25">Soglia et al. (2016)</xref>, <xref ref-type="bibr" rid="r29">Tijare et al. (2016)</xref>, and <xref ref-type="bibr" rid="r6">Cai et al. (2018)</xref> all reported less cooking loss for NOR breast fillets than WB fillets, regardless of whether the sample was fresh, previously frozen, or baked or sous-vide cooked. Similar to purge loss, the greater cooking loss for SEV and MOD WB fillets in comparison to NOR breast fillets may be due to less protein, greater moisture, and more extensive protein degradation (<xref ref-type="bibr" rid="r25">Soglia et al., 2016</xref>). In addition, WB meat has greater desmin and z-line degradation, which contributes to lower water-holding capacity and cook yields in WB than in NOR meat (<xref ref-type="bibr" rid="r25">Soglia et al., 2016</xref>). <xref ref-type="bibr" rid="r32">Velleman and Clark (2015)</xref> used fluorescent microscopy to show that WB lacked both muscle fiber bundle organization and well-defined spacing in the endomysium and perimysium. These authors also reported that extracellular matrix glycosaminoglycans that are covalently bound to myofibrillar proteins were more abundant in NOR breast meat. These molecules ionically interact with water. A lower abundance of glycosaminoglycans and lack of fiber bundle and connective tissue organization may contribute to lower water-holding capacity and greater cook loss.</p>
        <table-wrap id="t6">
          <label>Table 6.</label>
          <caption>
            <p>Cook loss (%) from normal breast meat, moderate woody breast meat, and severe woody breast meat that were stored from d 0 (day of processing) through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="11*"/>
            <colgroup>
              <col width="10*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="11*"/>
              <col align="char" char="." width="11*"/>
              <col width="11*" align="char" char="."/>
            </colgroup>
            <thead>
              <tr>
                <th>Treatment</th>
                <th>Day 0</th>
                <th>Day 1</th>
                <th>Day 2</th>
                <th>Day 3</th>
                <th>Day 4</th>
                <th>Day 5</th>
                <th>SEM</th>
                <th align="center"><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>25.9<sup>cA</sup></td>
                <td>23.7<sup>bAB</sup></td>
                <td>23.4<sup>bAB</sup></td>
                <td>26.0<sup>bA</sup></td>
                <td>22.3<sup>bB</sup></td>
                <td>23.5<sup>bAB</sup></td>
                <td>0.31</td>
                <td>0.003</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>29.5<sup>bA</sup></td>
                <td>28.3<sup>aA</sup></td>
                <td>28.8<sup>aA</sup></td>
                <td>29.8<sup>aA</sup></td>
                <td>28.4<sup>aA</sup></td>
                <td>30.2<sup>aA</sup></td>
                <td>0.37</td>
                <td>0.610</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>32.1<sup>aA</sup></td>
                <td>29.5<sup>aA</sup></td>
                <td>31.6<sup>aA</sup></td>
                <td>31.6<sup>aA</sup></td>
                <td>30.1<sup>aA</sup></td>
                <td>32.3<sup>aA</sup></td>
                <td>0.36</td>
                <td>0.160</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td>0.14</td>
                <td>0.54</td>
                <td>0.50</td>
                <td>0.16</td>
                <td>0.50</td>
                <td>0.51</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t6fn1">
              <p>a–c: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t6fn2">
              <p>A–B: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t6fn3">
              <p>MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.7">
        <title>Shear force</title>
        <p>There was no interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) present between severity and storage time for shear force for the upper, middle, and lower portions of the breast meat (<xref ref-type="table" rid="t7">Table 7</xref>). On d 0, NOR breast fillets had greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) shear force than SEV WB and MOD WB fillets for the upper, middle, and lower portions of the breast (<xref ref-type="table" rid="t7">Table 7</xref>). By d 1, the shear force of NOR breast fillets did not differ (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) from MOD and SEV WB fillets for the upper and middle portion of the breast. For the lower portion of the breast, there was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in shear force between NOR and SEV WB fillets, but the MOD WB fillets required less (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) shear force to cut through it than the NOR breast fillets. For the upper, middle, and lower portion of the breasts, SEV WB fillets had a greater shear force (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 4 than MOD WB and NOR breast fillets (<xref ref-type="table" rid="t7">Table 7</xref>). NOR breast fillets required less shear force than SEV WB to cut through the upper region of the breast on d 2, 3, 4, and 5, which indicates that the NOR breast fillets were more tender than the SEV WB in the upper portion of the breast. This is logical since WB is most commonly associated with the upper portion of the breast (<xref ref-type="bibr" rid="r25">Soglia et al., 2016</xref>). <xref ref-type="bibr" rid="r24">Soglia et al. (2019)</xref> reported that the muscle fiber bundle separation, rigidity, and hardness associated with WB primarily affects the cranial, upper portion of the breast fillet. NOR breast meat fillets increase in tenderness over storage time due to myofibrillar protein degradation (<xref ref-type="bibr" rid="r28">Takahashi, 1996</xref>), most specifically with the z-line and desmin. In contrast, the shear force of the upper portion of the SEV WB fillets did not decrease (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) over storage time, which was different than what was observed with SEV WB fillets in the middle and lower portions of the breast. This may be due to extreme myopathy in the upper part of the muscle (<xref ref-type="bibr" rid="r25">Soglia et al., 2016</xref>), in which z-line and desmin degradation occur earlier postmortem than in NOR breast fillets, and the lack of well-defined muscle and connective tissue structure in the WB fillets (<xref ref-type="bibr" rid="r32">Velleman and Clark, 2015</xref>). Previous research determined that broiler breast meat with a Warner-Bratzler shear force value of up to 45 N are considered acceptable in tenderness to greater than 70% of consumers (<xref ref-type="bibr" rid="r21">Schilling et al., 2003</xref>). This portion of muscle is not extremely tough, according to shear values, but has a crunchy texture that is undesirable to consumers (Von Staden et al., 2019). For the lower part of the breast, shear force decreased over storage time from d 0 to 5 for NOR, MOD, and SEV WB fillets. This indicates that the meat became softer over storage time, which is similar to results previously reported by <xref ref-type="bibr" rid="r27">Sun et al. (2018)</xref>. These researchers noticed muscle softening, which indicates that WB severity, as determined by palpation and appearance, was lessened. For the middle portion of the breast, the shear force also decreased (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) over storage time for NOR and MOD WB fillets. For SEV WB fillets, the lower portion of the middle section decreased (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in shear force over time for SEV WB fillets, but the decrease was less than that of MOD and NOR WB fillets. The decrease in shear force was 17.8 N for NOR breast fillets, 9.7 N for MOD WB fillets, and 5.2 for SEV WB fillets. In contrast to the lower and upper regions of the breast, the shear force of the MOD and SEV WB fillets did not decrease (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) over storage time in the upper portion of the breast, which indicates that aging the meat did not increase tenderness of the upper portion of SEV WB fillets, which generally does occur during aging for NOR broiler chicken breast meat.</p>
        <table-wrap id="t7">
          <label>Table 7.</label>
          <caption>
            <p>Warner-Bratzler shear force values of normal breast meat, moderate woody breast meat, and severe woody breast meat that were stored from d 0 (day of processing) through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula> with 2 subsamples in each position)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="9*"/>
            <colgroup>
              <col width="9*"/>
              <col width="10*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="9*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="10*"/>
              <col align="char" char="." width="10*"/>
            </colgroup>
            <thead>
              <tr>
                <th>Treatment</th>
                <th>Position</th>
                <th align="center">Day 0</th>
                <th>Day 1</th>
                <th>Day 2</th>
                <th>Day 3</th>
                <th>Day 4</th>
                <th>Day 5</th>
                <th>SEM</th>
                <th><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>
                  <italic>Upper</italic>
                </td>
                <td>32.6<sup>aA</sup></td>
                <td>24.4<sup>aB</sup></td>
                <td>22.5<sup>bBC</sup></td>
                <td>18.6<sup>bD</sup></td>
                <td>18.3<sup>cD</sup></td>
                <td>19.9<sup>bCD</sup></td>
                <td>0.45</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>
                  <italic>Upper</italic>
                </td>
                <td>25.7<sup>bAB</sup></td>
                <td>27.3<sup>aA</sup></td>
                <td>23.9<sup>abABC</sup></td>
                <td>22.5<sup>aBC</sup></td>
                <td>23.0<sup>bABC</sup></td>
                <td>20.8<sup>bC</sup></td>
                <td>0.60</td>
                <td>0.032</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>
                  <italic>Upper</italic>
                </td>
                <td>28.0<sup>bA</sup></td>
                <td>26.7<sup>aA</sup></td>
                <td>26.7<sup>aA</sup></td>
                <td>24.7<sup>aA</sup></td>
                <td>26.4<sup>aA</sup></td>
                <td>26.3<sup>aA</sup></td>
                <td>0.47</td>
                <td>0.485</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td/>
                <td>0.73</td>
                <td>0.86</td>
                <td>0.73</td>
                <td>0.64</td>
                <td>0.63</td>
                <td>0.72</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td/>
                <td>0.0006</td>
                <td>0.344</td>
                <td>0.057</td>
                <td>0.001</td>
                <td>&lt;0.0001</td>
                <td>0.0004</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td>NOR</td>
                <td>
                  <italic>Middle</italic>
                </td>
                <td>41.1<sup>aA</sup></td>
                <td>26.4<sup>aB</sup></td>
                <td>23.0<sup>aBC</sup></td>
                <td>19.7<sup>aC</sup></td>
                <td>19.6<sup>bC</sup></td>
                <td>21.0<sup>abC</sup></td>
                <td>0.60</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>
                  <italic>Middle</italic>
                </td>
                <td>28.1<sup>bA</sup></td>
                <td>24.0<sup>aB</sup></td>
                <td>23.2<sup>aBC</sup></td>
                <td>20.0<sup>aCD</sup></td>
                <td>19.0<sup>bD</sup></td>
                <td>17.9<sup>bD</sup></td>
                <td>0.52</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>
                  <italic>Middle</italic>
                </td>
                <td>27.9<sup>bA</sup></td>
                <td>24.8<sup>aABC</sup></td>
                <td>24.5<sup>aBC</sup></td>
                <td>21.7<sup>aC</sup></td>
                <td>25.6<sup>aAB</sup></td>
                <td>22.4<sup>aBC</sup></td>
                <td>0.44</td>
                <td>0.001</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td/>
                <td>1.03</td>
                <td>0.72</td>
                <td>0.79</td>
                <td>0.54</td>
                <td>0.61</td>
                <td>0.66</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td/>
                <td>&lt;0.0001</td>
                <td>0.378</td>
                <td>0.695</td>
                <td>0.258</td>
                <td>&lt;0.0001</td>
                <td>0.019</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td>NOR</td>
                <td>
                  <italic>Lower</italic>
                </td>
                <td>45.7<sup>aA</sup></td>
                <td>27.0<sup>aB</sup></td>
                <td>23.9<sup>aBC</sup></td>
                <td>19.6<sup>aC</sup></td>
                <td>19.7<sup>bC</sup></td>
                <td>21.0<sup>aC</sup></td>
                <td>0.65</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>
                  <italic>Lower</italic>
                </td>
                <td>30.3<sup>bA</sup></td>
                <td>22.6<sup>bB</sup></td>
                <td>24.8<sup>aB</sup></td>
                <td>18.7<sup>aC</sup></td>
                <td>19.1<sup>bC</sup></td>
                <td>16.3<sup>bC</sup></td>
                <td>0.46</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>
                  <italic>Lower</italic>
                </td>
                <td>29.0<sup>bA</sup></td>
                <td>25.5<sup>abB</sup></td>
                <td>23.5<sup>aB</sup></td>
                <td>20.4<sup>aC</sup></td>
                <td>25.4<sup>aB</sup></td>
                <td>19.7<sup>aC</sup></td>
                <td>0.41</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td/>
                <td>1.08</td>
                <td>0.70</td>
                <td>0.78</td>
                <td>0.59</td>
                <td>0.05</td>
                <td>0.62</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td/>
                <td>&lt;0.0001</td>
                <td>0.041</td>
                <td>0.789</td>
                <td>0.485</td>
                <td>&lt;0.0001</td>
                <td>0.009</td>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t7fn1">
              <p>a–c: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t7fn2">
              <p>A–D: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t7fn3">
              <p>MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.8">
        <title>Proximate analysis</title>
        <p>There was no interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) present between severity and storage time for fat, protein, collagen, and moisture percentage in the breast fillets. There was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in fat percentage between NOR, MOD WB, and SEV WB fillets on d 0 and 5 (<xref ref-type="table" rid="t8">Table 8</xref>). Protein percentages were greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) for NOR breast fillets than MOD and SEV WB fillets. In addition, on d 0, the MOD WB fillets had a higher protein percentage (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than SEV WB fillets (<xref ref-type="table" rid="t8">Table 8</xref>). There was no difference (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in collagen percentage between NOR, MOD WB, and SEV WB fillets on d 0 and 5 (<xref ref-type="table" rid="t8">Table 8</xref>). Moisture percentages were greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) in SEV and MOD WB fillets compared to NOR breast fillets on d 0 and d 5. In addition, SEV WB fillets had more moisture (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) on d 0 than MOD WB fillets. These proximate composition results are similar to previous research results by <xref ref-type="bibr" rid="r6">Cai et al. (2018)</xref>, <xref ref-type="bibr" rid="r25">Soglia et al. (2016)</xref> and <xref ref-type="bibr" rid="r3">Baldi et al. (2017)</xref> but differ with respect to a higher fat percentage in WB fillets compared to NOR breast fillets. <xref ref-type="bibr" rid="r6">Cai et al. (2018)</xref> reported fat, protein, and moisture percentages of 1.9%, 21.7%, and 74.4% for WB fillets and 1.2%, 23%, and 73.8% for NOR breast fillets. <xref ref-type="bibr" rid="r25">Soglia et al. (2016)</xref> reported fat, protein, and moisture percentages of 1.25%, 21.4%, and 75.3% for WB fillets and 0.87%, 22.8%, and 74.1% for NOR breast fillets. <xref ref-type="bibr" rid="r3">Baldi et al. (2017)</xref> reported average fat, protein, and moisture percentages of 2.12%, 20.5%, and 77.1% for WB fillets and 1.51%, 22.9%, and 75% for NOR breast fillets. These authors reported that WB fillets have decreased protein percentages and increased moisture and fat percentages compared to NOR breast fillets. <xref ref-type="bibr" rid="r25">Soglia et al. (2016)</xref> reported that WB fillets that were affected with white striping simultaneously had greater fat percentages than NOR breast fillets and WB fillets without white striping. These researchers may have reported higher fat percentages in WB fillets compared to NOR breast fillets because the WB fillets had white striping as well. The lower protein concentration in WB fillets is probably due to myodegeneration, which leads to upregulation of protein metabolism and the regenerative process to repair the degenerative changes (<xref ref-type="bibr" rid="r23">Sihvo et al., 2014</xref>; <xref ref-type="bibr" rid="r12">Kuttappan et al., 2017</xref>). In addition, the moisture percentage is greater in WB fillets due to the pooling of water in the area where the myopathy is present in the breast muscle to help with protein repair (<xref ref-type="bibr" rid="r32">Velleman and Clark, 2015</xref>).</p>
        <table-wrap id="t8">
          <label>Table 8.</label>
          <caption>
            <p>Proximate analysis (Near Infrared Reflectance) of normal breast meat, moderate woody breast meat, and severe woody breast meat that were from d 0 (day of processing) and d 5 and stored at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>15</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="5*"/>
            <colgroup>
              <col width="5*"/>
              <col width="5*" align="char" char="."/>
              <col width="5*" align="char" char="."/>
              <col width="5*" align="char" char="."/>
              <col width="5*" align="char" char="."/>
              <col align="char" char="." width="5*"/>
              <col align="char" char="." width="5*"/>
              <col width="5*"/>
              <col width="5*" align="char" char="."/>
              <col align="char" char="." width="5*"/>
              <col align="char" char="." width="5*"/>
              <col width="5*" align="char" char="."/>
              <col width="5*" align="char" char="."/>
              <col align="char" char="." width="5*"/>
              <col align="char" char="." width="5*"/>
              <col width="5*" align="char" char="."/>
            </colgroup>
            <thead>
              <tr>
                <th/>
                <th align="center" colspan="4">Fat (%)</th>
                <th align="center" colspan="4">Protein (%)</th>
                <th align="center" colspan="4">Collagen (%)</th>
                <th align="center" colspan="4">Moisture (%)</th>
              </tr>
              <tr>
                <th>Treatment</th>
                <th>Day 0</th>
                <th>Day 5</th>
                <th align="center">SEM</th>
                <th><italic>P</italic> value</th>
                <th>Day 0</th>
                <th>Day 5</th>
                <th>SEM</th>
                <th align="center"><italic>P</italic> value</th>
                <th>Day 0</th>
                <th>Day 5</th>
                <th>SEM</th>
                <th><italic>P</italic> value</th>
                <th>Day 0</th>
                <th>Day 5</th>
                <th>SEM</th>
                <th><italic>P</italic> value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>NOR</td>
                <td>1.9<sup>a</sup></td>
                <td>2.2<sup>a</sup></td>
                <td>0.01</td>
                <td>0.11</td>
                <td>21.5<sup>a</sup></td>
                <td>21.2<sup>a</sup></td>
                <td>0.15</td>
                <td>0.305</td>
                <td>2.1<sup>a</sup></td>
                <td>2.2<sup>a</sup></td>
                <td>0.04</td>
                <td>0.166</td>
                <td>74.3<sup>c</sup></td>
                <td>73.9<sup>b</sup></td>
                <td>0.16</td>
                <td>0.228</td>
              </tr>
              <tr>
                <td>MOD</td>
                <td>2.2<sup>a</sup></td>
                <td>2.1<sup>a</sup></td>
                <td>0.10</td>
                <td>0.574</td>
                <td>20.1<sup>b</sup></td>
                <td>19.8<sup>b</sup></td>
                <td>0.15</td>
                <td>0.37</td>
                <td>2.0<sup>a</sup></td>
                <td>2.1<sup>a</sup></td>
                <td>0.04</td>
                <td>0.193</td>
                <td>75.3<sup>b</sup></td>
                <td>75.3<sup>a</sup></td>
                <td>0.18</td>
                <td>0.927</td>
              </tr>
              <tr>
                <td>SEV</td>
                <td>2.1<sup>a</sup></td>
                <td>2.1<sup>a</sup></td>
                <td>0.11</td>
                <td>0.788</td>
                <td>19.0<sup>c</sup></td>
                <td>19.3<sup>b</sup></td>
                <td>0.13</td>
                <td>0.399</td>
                <td>2.0<sup>a</sup></td>
                <td>2.1<sup>a</sup></td>
                <td>0.04</td>
                <td>0.277</td>
                <td>76.1<sup>a</sup></td>
                <td>75.8<sup>a</sup></td>
                <td>0.16</td>
                <td>0.371</td>
              </tr>
              <tr>
                <td>SEM</td>
                <td>0.08</td>
                <td>0.09</td>
                <td/>
                <td/>
                <td>0.12</td>
                <td>0.11</td>
                <td/>
                <td/>
                <td>0.03</td>
                <td>0.03</td>
                <td/>
                <td/>
                <td>0.13</td>
                <td>0.14</td>
                <td/>
                <td/>
              </tr>
              <tr>
                <td><italic>P</italic> value</td>
                <td>0.442</td>
                <td>0.679</td>
                <td/>
                <td/>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td/>
                <td/>
                <td>0.139</td>
                <td>0.078</td>
                <td/>
                <td/>
                <td>&lt;0.0001</td>
                <td>&lt;0.0001</td>
                <td/>
                <td/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t8fn1">
              <p>a–c: Means with the same letter by column are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t8fn2">
              <p>MOD = moderate woody breast meat; NOR = normal breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3.9">
        <title>Diminishment</title>
        <p>In this study, separate fillets were manually evaluated each day for degree of diminishment and softening using appearance and palpation according to <xref ref-type="bibr" rid="r29">Tijare et al. (2016)</xref>. For MOD WB fillets, 52% (13 out of 25) of fillets diminished to slight WB, but there were no differences over storage time (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.057</mml:mn></mml:mrow></mml:math></inline-formula>), largely due to a large amount of variability from replication to replication (<xref ref-type="table" rid="t9">Table 9</xref>). After 5 d of storage at 2°C to 4°C, 84% of SEV WB fillets (21 out of 25 samples) lessened to MOD WB, which was greater (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than d 1 through 3. Diminishment percentage was also greater for SEV WB after 4 and 5 d of storage in comparison to 1 and 2 d of storage. Even though a large percentage of SEV WB diminished over time, breast fillets only diminished to MOD WB, not slight WB or NOR. In comparison, only 40% to 52% (10 out of 25 breast samples and 13 out of 25 breast samples) of MOD WB fillets diminished to slight or NOR after 3 to 5 d of storage. The softening effect in WB during cold storage was observed by other researchers, which they attributed to the loss of moisture, postmortem proteolysis as indicated by increased activity of autolyzed <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>μ</mml:mi><mml:mo stretchy="false">/</mml:mo><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>-calpain, and other mechanisms that have yet to be determined (<xref ref-type="bibr" rid="r25">Soglia et al., 2016</xref>; <xref ref-type="bibr" rid="r26">Soglia et al., 2018</xref>; <xref ref-type="bibr" rid="r27">Sun et al., 2018</xref>). As described by <xref ref-type="bibr" rid="r25">Soglia et al. (2016)</xref>, myofibrillar and sarcoplasmic protein breakdown did occur. The proximate composition of WB included more moisture and less protein content. In previous research by <xref ref-type="bibr" rid="r27">Sun et al. (2018)</xref>, the same fillets were evaluated for softening using compression force, and a softening effect was reported. Another potential cause of the softening over time may be a decrease in the amount of intact desmin and an increase in the autolyzed form of desmin, a 39-kDa fragment, during storage (<xref ref-type="bibr" rid="r26">Soglia et al., 2018</xref>).</p>
        <table-wrap id="t9">
          <label>Table 9.</label>
          <caption>
            <p>Diminishment (%) of woody breast severity of moderate and severe woody breast meat that were stored from d 1 through d 5 at 2°C to 4°C (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula>)</p>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="16*"/>
            <colgroup>
              <col width="16*"/>
              <col width="16*" align="char" char="."/>
              <col width="16*"/>
              <col width="16*" align="center"/>
              <col width="16*" align="center"/>
            </colgroup>
            <thead>
              <tr>
                <th>Diminishment</th>
                <th>Day 1</th>
                <th align="center">Day 2</th>
                <th align="center">Day 3</th>
                <th align="center">Day 4</th>
                <th align="center">Day 5</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>MOD<xref ref-type="table-fn" rid="t8fn1"><sup>1</sup></xref></td>
                <td>4<sup>A</sup></td>
                <td>16<sup>A</sup></td>
                <td>40<sup>A</sup></td>
                <td>48<sup>A</sup></td>
                <td>52<sup>A</sup></td>
              </tr>
              <tr>
                <td>SEV<xref ref-type="table-fn" rid="t8fn2"><sup>2</sup></xref></td>
                <td>8<sup>D</sup></td>
                <td align="center">24<sup>CD</sup></td>
                <td>52<sup>BC</sup></td>
                <td>56<sup>AB</sup></td>
                <td>84<sup>A</sup></td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t9fn1">
              <label>
                <sup>1</sup>
              </label>
              <p>The percentage of MOD woody breast meat that lessened in severity to mild woody breast or normal breast meat.</p>
            </fn>
            <fn id="t9fn2">
              <label>
                <sup>2</sup>
              </label>
              <p>The percentage of SEV woody breast fillets that diminished or lessened to MOD woody breast meat.</p>
            </fn>
            <fn id="t9fn3">
              <p>A–D: Means with the same letter by row are not different (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
            </fn>
            <fn id="t8fn4">
              <p>MOD = moderate woody breast meat; SEV = severe woody breast meat.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec4">
      <title>Conclusions</title>
      <p>Even though some diminishment (palpation and visual) of the WB myopathy occurred over time, this did not impact the shear force of the meat from the upper portion of the chicken breast, indicating that there are some tough tissue parts within this portion of the breast. Results also indicated that instrumental measurements, including pH, instrumental color, proximate analysis, and cooking loss, differed between SEV, MOD, and NOR breast meat but did not change over storage time. Therefore, the diminishment that occurred was mainly tactile and did not lead to improved meat quality as determined by color, purge loss, cooking loss, shear force, and proximate composition. Therefore, refrigerating WB meat for an extended amount of time will not improve its quality or increase its functionality in processed meat products. These results are important because they indicate that, even though it was substantiated that muscle softening occurred over refrigerated storage time, meat quality did not improve. This substantiates the need to reduce the incidence of WB meat in the broiler industry. Future research is needed to minimize WB incidence and determine technical solutions to incorporate WB meat into processed products such as chicken nuggets, chicken patties, and other products in which a portion of WB meat can be used with minimal impacts on eating quality and product yields.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>Acknowledgements</title>
      <p>This work was approved for publication by the Mississippi Agricultural and Forestry Experiment Station under project MIS-326050.</p>
    </ack>
    <ref-list>
      <title>Literature Cited</title>
      <ref id="r1">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Aguirre</surname>, <given-names>M. E.</given-names></string-name>, <string-name><given-names>C. M.</given-names><surname>Owens</surname></string-name>, <string-name><given-names>R. K.</given-names><surname>Miller</surname></string-name>, and <string-name><given-names>C. Z.</given-names><surname>Alvarado</surname></string-name></person-group>. <year>2018</year>. <article-title>Descriptive sensory and instrumental texture profile analysis of woody breast in marinated chicken.</article-title><source>Poultry Sci.</source><volume>97</volume>:<fpage>1456</fpage>–<lpage>1461</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pex428">10.3382/ps/pex428</ext-link></mixed-citation>
      </ref>
      <ref id="r2">
        <mixed-citation publication-type="book">AOAC. 2007. AOAC official method 2007-04. In: Official methods of analysis. 18th ed. Rev. 3. AOAC Int., Washington, DC.</mixed-citation>
      </ref>
      <ref id="r3">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Baldi</surname>, <given-names>G.</given-names></string-name>, <string-name><given-names>F.</given-names><surname>Soglia</surname></string-name>, <string-name><given-names>M.</given-names><surname>Mazzoni</surname></string-name>, <string-name><given-names>F.</given-names><surname>Sirri</surname></string-name>, <string-name><given-names>L.</given-names><surname>Canonico</surname></string-name>, <string-name><given-names>E.</given-names><surname>Babini</surname></string-name>, <string-name><given-names>L.</given-names><surname>Laghi</surname></string-name>, <string-name><given-names>C.</given-names><surname>Claudio</surname></string-name>, and <string-name><given-names>M.</given-names><surname>Petracci</surname></string-name></person-group>. <year>2017</year>. <article-title>Implications of white striping and spaghetti meat abnormalities on meat quality and histological features in broilers</article-title>. <source>Animal.</source><volume>12</volume>:<fpage>1</fpage>–<lpage>10</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1017/S1751731117001069">10.1017/S1751731117001069</ext-link></mixed-citation>
      </ref>
      <ref id="r4">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Barbut</surname>, <given-names>S.</given-names></string-name>, <string-name><given-names>A. A.</given-names><surname>Sosnicki</surname></string-name>, <string-name><given-names>S. M.</given-names><surname>Lonergan</surname></string-name>, <string-name><given-names>T.</given-names><surname>Knapp</surname></string-name>, <string-name><given-names>D. C.</given-names><surname>Ciobanu</surname></string-name>, <string-name><given-names>L. J.</given-names><surname>Gatcliffe</surname></string-name>, <string-name><given-names>E.</given-names><surname>Huff-Lonergan</surname></string-name>, and <string-name><given-names>E. W.</given-names><surname>Wilson</surname></string-name></person-group>. <year>2008</year>. <article-title>Progress in reducing the pale, soft and exudative (PSE) problem in pork and poultry meat.</article-title><source>Meat Sci.</source><volume>79</volume>:<fpage>46</fpage>–<lpage>63</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1016/j.meatsci.2007.07.031">10.1016/j.meatsci.2007.07.031</ext-link></mixed-citation>
      </ref>
      <ref id="r5">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Brambila</surname>, <given-names>G.S.</given-names></string-name>, <string-name><given-names>D.</given-names><surname>Chatterjee</surname></string-name>, <string-name><given-names>B.</given-names><surname>Bowker</surname></string-name>, and <string-name><given-names>H.</given-names><surname>Zhuang</surname></string-name></person-group>. <year>2017</year>. <article-title>Descriptive texture analyses of cooked patties made of chicken breast with the woody breast condition.</article-title><source>Poultry Sci.</source><volume>96</volume>:<fpage>3489</fpage>–<lpage>3494</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pex118">10.3382/ps/pex118</ext-link></mixed-citation>
      </ref>
      <ref id="r6">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Cai</surname>, <given-names>K.</given-names></string-name>, <string-name><given-names>W.</given-names><surname>Shao</surname></string-name>, <string-name><given-names>X.</given-names><surname>Chen</surname></string-name>, <string-name><given-names>Y. L.</given-names><surname>Campbell</surname></string-name>, <string-name><given-names>M. N.</given-names><surname>Nair</surname></string-name>, <string-name><given-names>S. P.</given-names><surname>Suman</surname></string-name>, <string-name><given-names>C. M.</given-names><surname>Beach</surname></string-name>, <string-name><given-names>M. C.</given-names><surname>Guyton</surname></string-name>, and <string-name><given-names>M. W.</given-names><surname>Schilling</surname></string-name></person-group>. <year>2018</year>. <article-title>Meat quality and proteome profile of woody broiler breast (pectoralis major) meat.</article-title><source>Poultry Sci.</source><volume>97</volume>:<fpage>337</fpage>–<lpage>346</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pex284">10.3382/ps/pex284</ext-link></mixed-citation>
      </ref>
      <ref id="r7">
        <mixed-citation publication-type="thesis"><person-group person-group-type="author"><string-name><surname>Cando</surname>, <given-names>M. E. A.</given-names></string-name></person-group><year>2016</year>. <article-title>Descriptive sensory and texture profile analysis of woody breast in marinated chicken</article-title>. M.S. thesis, Texas A&amp;M University. (<ext-link ext-link-type="uri" xlink:href="https://pdfs.semanticscholar.org/d8fe/3c3411e8806f34e228d772c83e8ba4a1e308.pdf">https://pdfs.semanticscholar.org/d8fe/3c3411e8806f34e228d772c83e8ba4a1e308.pdf</ext-link>).</mixed-citation>
      </ref>
      <ref id="r8">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Chatterjee</surname>, <given-names>D.</given-names></string-name>, <string-name><given-names>H.</given-names><surname>Zhuang</surname></string-name>, <string-name><given-names>B.</given-names><surname>Bowker</surname></string-name>, <string-name><given-names>A.</given-names><surname>Rincon</surname></string-name>, and <string-name><given-names>G. S.</given-names><surname>Brambila</surname></string-name></person-group>. <year>2016</year>. <article-title>Instrumental texture characteristics of broiler pectoralis major with the wooden breast condition</article-title>. <source>Poultry Sci.</source><volume>95</volume>:<fpage>2449</fpage>–<lpage>2554</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pew204">10.3382/ps/pew204</ext-link></mixed-citation>
      </ref>
      <ref id="r9">
        <mixed-citation publication-type="book"><person-group person-group-type="author"><string-name><surname>Dalle Zotte</surname>, <given-names>A.</given-names></string-name>, <string-name><given-names>M.</given-names><surname>Cecchinato</surname></string-name>, <string-name><given-names>A.</given-names><surname>Quartesan</surname></string-name>, <string-name><given-names>J.</given-names><surname>Bradanovic</surname></string-name>, <string-name><given-names>G.</given-names><surname>Tasoniero</surname></string-name>, and <string-name><given-names>E.</given-names><surname>Puolanne</surname></string-name></person-group>. <year>2014</year>. How does “wooden breast” myodegeneration affect poultry meat quality? 60th International Congress of Meat Science and Technology, Punta Del Este, <publisher-loc>Uruguay</publisher-loc>.</mixed-citation>
      </ref>
      <ref id="r10">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Hoffman</surname>, <given-names>J. R.</given-names></string-name>, and <string-name><given-names>M. J.</given-names><surname>Falvo</surname></string-name></person-group>. <year>2004</year>. <article-title>Protein - Which Is Best?</article-title><source>J Sport. Sci. Med.</source><volume>3</volume>:<fpage>118</fpage>–<lpage>130</lpage>. <ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/pubmed/24482589">http://www.ncbi.nlm.nih.gov/pubmed/24482589</ext-link></mixed-citation>
      </ref>
      <ref id="r11">
        <mixed-citation publication-type="confproc"><person-group person-group-type="author"><string-name><surname>Kim</surname>, <given-names>G. D.</given-names></string-name>, <string-name><given-names>J. Y.</given-names><surname>Jeong</surname></string-name>, <string-name><given-names>S. H.</given-names><surname>Moon</surname></string-name>, <string-name><given-names>Y. H.</given-names><surname>Hwang</surname></string-name>, <string-name><given-names>G. B.</given-names><surname>Park</surname></string-name>, and <string-name><given-names>S. T.</given-names><surname>Joo</surname></string-name></person-group>. 2008. Effects of muscle fibre type on meat characteristics of chicken and duck breast muscle. In: <person-group person-group-type="editor"><string-name><given-names>E.</given-names><surname>Webb</surname></string-name>, <string-name><given-names>L.</given-names><surname>Hoffman</surname></string-name>, <string-name><given-names>P.</given-names><surname>Strydom</surname></string-name>, and <string-name><given-names>L.</given-names><surname>Frylinck</surname></string-name></person-group>, editors, 54th International Congress of Meat Science and Technology Proceedings, Cape Town, <source>South Africa. 10–15 August 2008</source>.</mixed-citation>
      </ref>
      <ref id="r12">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Kuttappan</surname>, <given-names>V. A.</given-names></string-name>, <string-name><given-names>W.</given-names><surname>Bottje</surname></string-name>, <string-name><given-names>R.</given-names><surname>Ramanathan</surname></string-name>, <string-name><given-names>S. D.</given-names><surname>Hartson</surname></string-name>, <string-name><given-names>C. N.</given-names><surname>Coon</surname></string-name>, <string-name><given-names>B. W.</given-names><surname>Kong</surname></string-name>, <string-name><given-names>C. M.</given-names><surname>Owens</surname></string-name>, <string-name><given-names>M.</given-names><surname>Vazquez-Añon</surname></string-name>, and <string-name><given-names>B. M.</given-names><surname>Hargis</surname></string-name></person-group>. <year>2017</year>. <article-title>Proteomic analysis reveals changes in carbohydrate and protein metabolism associated with broiler breast myopathy.</article-title><source>Poultry Sci.</source><volume>96</volume>:<fpage>2992</fpage>–<lpage>2999</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pex069">10.3382/ps/pex069</ext-link></mixed-citation>
      </ref>
      <ref id="r13">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Kuttappan</surname>, <given-names>V. A.</given-names></string-name>, <string-name><given-names>B.</given-names><surname>Hargis</surname></string-name>, and <string-name><given-names>C. M.</given-names><surname>Owens</surname></string-name></person-group>. <year>2016</year>. <article-title>White striping and woody breast myopathies in the modern poultry industry: a review.</article-title><source>Poultry Sci.</source><volume>95</volume>:<fpage>2724</fpage>–<lpage>2733</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pew216">10.3382/ps/pew216</ext-link></mixed-citation>
      </ref>
      <ref id="r14">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Kuttappan</surname>, <given-names>V.A.</given-names></string-name>, <string-name><given-names>H. L.</given-names><surname>Shivaprasad</surname></string-name>, <string-name><given-names>D. P.</given-names><surname>Shaw</surname></string-name>, <string-name><given-names>B. A.</given-names><surname>Valentine</surname></string-name>, <string-name><given-names>B. M.</given-names><surname>Hargis</surname></string-name>, <string-name><given-names>F. D.</given-names><surname>Clark</surname></string-name>, <string-name><given-names>S. R.</given-names><surname>McKee</surname></string-name>, and <string-name><given-names>C. M.</given-names><surname>Owens</surname></string-name></person-group>. <year>2013</year>. <article-title>Pathological changes associated with white striping in broiler breast muscles.</article-title><source>Poultry Sci.</source><volume>92</volume>:<fpage>331</fpage>–<lpage>338</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps.2012-02646">10.3382/ps.2012-02646</ext-link></mixed-citation>
      </ref>
      <ref id="r15">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Mudalal</surname>, <given-names>S.</given-names></string-name>, <string-name><given-names>E.</given-names><surname>Babini</surname></string-name>, <string-name><given-names>C.</given-names><surname>Cavani</surname></string-name>, and <string-name><given-names>M.</given-names><surname>Petracci</surname></string-name></person-group>. <year>2014</year>. <article-title>Quantity and functionality of protein fractions in chicken breast fillets affected by white striping.</article-title><source>Poultry Sci.</source><volume>93</volume>:<fpage>2108</fpage>–<lpage>2116</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps.2014-03911">10.3382/ps.2014-03911</ext-link></mixed-citation>
      </ref>
      <ref id="r16">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Mudalal</surname>, <given-names>S.</given-names></string-name>, <string-name><given-names>M.</given-names><surname>Lorenzi</surname></string-name>, <string-name><given-names>F.</given-names><surname>Soglia</surname></string-name>, <string-name><given-names>C.</given-names><surname>Cavani</surname></string-name>, and <string-name><given-names>M.</given-names><surname>Petracci</surname></string-name></person-group>. <year>2015</year>. <article-title>Implications of white striping and wooden breast abnormalities in quality traits of raw and marinated chicken meat</article-title>. <source>Animal.</source><volume>94</volume>:<fpage>728</fpage>–<lpage>734</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1017/S175173111400295X">10.1017/S175173111400295X</ext-link></mixed-citation>
      </ref>
      <ref id="r17">
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name><surname>Owens</surname>, <given-names>C. M.</given-names></string-name></person-group><year>2016</year>. Woody breast meat. 69th Reciprocal Meat Conference Proceedings. San Angelo, TX.</mixed-citation>
      </ref>
      <ref id="r18">
        <mixed-citation publication-type="book"><person-group person-group-type="author"><string-name><surname>Pearson</surname>, <given-names>A. M.</given-names></string-name>, and <string-name><given-names>T. A.</given-names><surname>Gillett</surname></string-name></person-group>. <year>1996</year>. Sectioned and formed meat products. In: Processed Meats. <edition>3rd edition</edition>. Chapman and Hall, New York, NY. p. <fpage>291</fpage>–<lpage>310</lpage>.</mixed-citation>
      </ref>
      <ref id="r19">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Petracci</surname>, <given-names>M.</given-names></string-name>, <string-name><given-names>F.</given-names><surname>Soglia</surname></string-name>, <string-name><given-names>M.</given-names><surname>Madruga</surname></string-name>, <string-name><given-names>L.</given-names><surname>Carvalho</surname></string-name>, <string-name><given-names>E.</given-names><surname>Ida</surname></string-name>, and <string-name><given-names>M.</given-names><surname>Estévez</surname></string-name></person-group>. <year>2019</year>. <article-title>Wooden-breast, white striping, and spaghetti meat: causes, consequences and consumer perception of emerging broiler meat abnormalities</article-title>. <source>Compr. Rev. Food Sci. F.</source><volume>18</volume>:<fpage>565</fpage>–<lpage>583</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1111/1541-4337.12431">10.1111/1541-4337.12431</ext-link></mixed-citation>
      </ref>
      <ref id="r20">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Qiao</surname>, <given-names>M.</given-names></string-name>, <string-name><given-names>D. L.</given-names><surname>Fletcher</surname></string-name>, <string-name><given-names>D. P.</given-names><surname>Smith</surname></string-name>, and <string-name><given-names>J. K.</given-names><surname>Northcutt</surname></string-name></person-group>. <year>2001</year>. <article-title>The effect of broiler breast meat color on pH, moisture, water-holding capacity, and emulsification capacity</article-title>. <source>Poultry Sci.</source><volume>80</volume>:<fpage>676</fpage>–<lpage>680</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1093/ps/80.5.676">10.1093/ps/80.5.676</ext-link></mixed-citation>
      </ref>
      <ref id="r21">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Schilling</surname>, <given-names>M. W.</given-names></string-name>, <string-name><given-names>J. K.</given-names><surname>Schilling</surname></string-name>, <string-name><given-names>J. R.</given-names><surname>Claus</surname></string-name>, <string-name><given-names>N. G.</given-names><surname>Marriott</surname></string-name>, <string-name><given-names>S. E.</given-names><surname>Duncan</surname></string-name>, and <string-name><given-names>H.</given-names><surname>Wang</surname></string-name></person-group>. <year>2003</year>. <article-title>Instrumental texture assessment and consumer acceptability of cooked broiler breasts evaluated using a geometrically uniform-shaped sample.</article-title><source>J. Muscle Foods.</source><volume>14</volume>:<fpage>11</fpage>–<lpage>23</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1111/j.1745-4573.2003.tb00342.x">10.1111/j.1745-4573.2003.tb00342.x</ext-link></mixed-citation>
      </ref>
      <ref id="r22">
        <mixed-citation publication-type="web"><person-group person-group-type="author"><string-name><surname>Sihvo</surname>, <given-names>H-K.</given-names></string-name></person-group><year>2019</year>. Pathology of wooden breast myopathy in broiler chickens. Ph.D. diss. University of Helsinki, Helsinki, Finland. (<ext-link ext-link-type="uri" xlink:href="https://pdfs.semanticscholar.org/2d0a/31a618134c65cc3348a89cd772c6811b606b.pdf">https://pdfs.semanticscholar.org/2d0a/31a618134c65cc3348a89cd772c6811b606b.pdf</ext-link>).</mixed-citation>
      </ref>
      <ref id="r23">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Sihvo</surname>, <given-names>H. K.</given-names></string-name>, <string-name><given-names>K.</given-names><surname>Immonen</surname></string-name>, and <string-name><given-names>E.</given-names><surname>Puolanne</surname></string-name></person-group>. <year>2014</year>. <article-title>Myodegeneration with fibrosis and regeneration in the pectoralis major muscle of broilers</article-title>. <source>Vet. Pathol.</source><volume>51</volume>:<fpage>619</fpage>–<lpage>623</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1177/0300985813497488">10.1177/0300985813497488</ext-link></mixed-citation>
      </ref>
      <ref id="r24">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Soglia</surname>, <given-names>F.</given-names></string-name>, <string-name><given-names>M.</given-names><surname>Mazzoni</surname></string-name>, and <string-name><given-names>M.</given-names><surname>Petracci</surname></string-name></person-group>. <year>2019</year>. <article-title>Spotlight on avian pathology: current growth-related breast meat abnormalities in broilers.</article-title><source>Avian Pathol.</source><volume>48(1)</volume>:<fpage>1</fpage>–<lpage>3</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1080/03079457.2018.1508821">10.1080/03079457.2018.1508821</ext-link></mixed-citation>
      </ref>
      <ref id="r25">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Soglia</surname>, <given-names>F.</given-names></string-name>, <string-name><given-names>M.</given-names><surname>Mazzoni</surname></string-name>, <string-name><given-names>M.</given-names><surname>Petracci</surname></string-name>, <string-name><given-names>S.</given-names><surname>Mudalal</surname></string-name>, <string-name><given-names>F.</given-names><surname>Sirri</surname></string-name>, <string-name><given-names>E.</given-names><surname>Babini</surname></string-name>, <string-name><given-names>M.</given-names><surname>Di Nunzio</surname></string-name>, and <string-name><given-names>C.</given-names><surname>Cavani</surname></string-name></person-group>. <year>2016</year>. <article-title>Histology, composition, and quality traits of chicken Pectoralis major muscle affected by wooden breast abnormality.</article-title><source>Poultry Sci.</source><volume>95</volume>:<fpage>651</fpage>–<lpage>659</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pev353">10.3382/ps/pev353</ext-link></mixed-citation>
      </ref>
      <ref id="r26">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Soglia</surname>, <given-names>F.</given-names></string-name>, <string-name><given-names>Z.</given-names><surname>Zeng</surname></string-name>, <string-name><given-names>J.</given-names><surname>Gao</surname></string-name>, <string-name><given-names>E.</given-names><surname>Puolanne</surname></string-name>, <string-name><given-names>C.</given-names><surname>Cavani</surname></string-name>, <string-name><given-names>M.</given-names><surname>Petracci</surname></string-name>, and <string-name><given-names>P.</given-names><surname>Ertbjerg</surname></string-name></person-group>. <year>2018</year>. <article-title>Evolution of proteolytic indicators during storage of broiler wooden breast meat.</article-title><source>Poultry Sci.</source><volume>97</volume>:<fpage>1448</fpage>–<lpage>1455</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pex398">10.3382/ps/pex398</ext-link></mixed-citation>
      </ref>
      <ref id="r27">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Sun</surname>, <given-names>X.</given-names></string-name>, <string-name><given-names>D. A.</given-names><surname>Koltes</surname></string-name>, <string-name><given-names>C. N.</given-names><surname>Coon</surname></string-name>, <string-name><given-names>K.</given-names><surname>Chen</surname></string-name>, and <string-name><given-names>C. M.</given-names><surname>Owens</surname></string-name></person-group>. <year>2018</year>. <article-title>Instrumental compression force and meat attribute changes in woody broiler breast fillets during short-term storage.</article-title><source>Poultry Sci.</source><volume>97</volume>:<fpage>2600</fpage>–<lpage>2606</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pey107">10.3382/ps/pey107</ext-link></mixed-citation>
      </ref>
      <ref id="r28">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Takahashi</surname>, <given-names>K.</given-names></string-name></person-group><year>1996</year>. <article-title>Structural weakening of skeletal muscle tissue during post-mortem ageing of meat: the non-enzymatic mechanism of meat tenderization.</article-title><source>Meat Sci.</source><volume>43</volume>:<fpage>67</fpage>–<lpage>80</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1016/0309-1740(96)00056-3">10.1016/0309-1740(96)00056-3</ext-link></mixed-citation>
      </ref>
      <ref id="r29">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Tijare</surname>, <given-names>V. V.</given-names></string-name>, <string-name><given-names>F. L.</given-names><surname>Yang</surname></string-name>, <string-name><given-names>V. A.</given-names><surname>Kuttappan</surname></string-name>, <string-name><given-names>C. Z.</given-names><surname>Alvarado</surname></string-name>, <string-name><given-names>C. N.</given-names><surname>Coon</surname></string-name>, and <string-name><given-names>C. M.</given-names><surname>Owens</surname></string-name></person-group>. <year>2016</year>. <article-title>Meat quality of broiler breast fillets with white striping and woody breast muscle myopathies.</article-title><source>Poultry Sci.</source><volume>95</volume>:<fpage>2167</fpage>–<lpage>2173</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.3382/ps/pew129">10.3382/ps/pew129</ext-link></mixed-citation>
      </ref>
      <ref id="r30">
        <mixed-citation publication-type="web">USDA-FSIS. 2018. Disposition instructions for “woody breast” and “white striping” poultry conditions. Food Safety and Inspection Service Notice 35-17. Washington, DC. <ext-link ext-link-type="uri" xlink:href="https://www.fsis.usda.gov/wps/wcm/connect/07e454eb-1803-4333-b5fb-efb0b50eb756/35-17.pdf?MOD=AJPERES">https://www.fsis.usda.gov/wps/wcm/connect/07e454eb-1803-4333-b5fb-efb0b50eb756/35-17.pdf?MOD=AJPERES</ext-link>. (Accessed <year>31 July 2019</year>).</mixed-citation>
      </ref>
      <ref id="r31">
        <mixed-citation publication-type="web">USDA-NASS. 2018. Poultry - Production and value 2017 summary. National Agricultural Statistics Service. United States Department of Agriculture. <ext-link ext-link-type="uri" xlink:href="https://downloads.usda.library.cornell.edu/usda-esmis/files/m039k491c/rv042w763/hx11xh82v/PoulProdVa-04-27-2018.pdf.">https://downloads.usda.library.cornell.edu/usda-esmis/files/m039k491c/rv042w763/hx11xh82v/PoulProdVa-04-27-2018.pdf.</ext-link> (Accessed <year>15 July 2019</year>).</mixed-citation>
      </ref>
      <ref id="r32">
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Velleman</surname>, <given-names>S. G.</given-names></string-name>, and <string-name><given-names>D. L.</given-names><surname>Clark</surname></string-name></person-group>. <year>2015</year>. <article-title>Histopathologic and myogenic gene expression changes associated with wooden breast in broiler breast muscles.</article-title><source>Avian Dis.</source><volume>59</volume>:<fpage>410</fpage>–<lpage>418</lpage>. doi:<ext-link ext-link-type="doi" xlink:href="10.1637/11097-042015-Reg.1">10.1637/11097-042015-Reg.1</ext-link></mixed-citation>
      </ref>
      <ref id="r33">
        <mixed-citation publication-type="confproc"><person-group person-group-type="author"><string-name><surname>Von Staden</surname>, <given-names>M.</given-names></string-name>, <string-name><given-names>M.</given-names><surname>Byron</surname></string-name>, <string-name><given-names>T.</given-names><surname>Jarvis</surname></string-name>, <string-name><given-names>C. A.</given-names><surname>Crist</surname></string-name>, <string-name><given-names>X.</given-names><surname>Zhang</surname></string-name>, <string-name><given-names>J. B.</given-names><surname>Williams</surname></string-name>, and <string-name><given-names>M. W.</given-names><surname>Schilling</surname></string-name></person-group>. <year>2019</year>. Impact of woody breast severity on the sensory properties and acceptability of chicken. 72nd Reciprocal Meats Conference Proceedings, Fort Collins, CO.</mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
