Application of Genomic Information to Longitudinal Traits

  • Anna Wolc (Iowa State University)
  • Jesus Arango (Hy-Line International)
  • Petek Settar (Hy-Line International)
  • Janet E. Fulton (Hy-Line International)
  • Neil P. O'Sullivan (Hy-Line International)
  • Rudolf Preisinger (Lohmann Tierzucht)
  • Rohan L Fernando (Iowa State University)
  • Dorian J. Garrick (Iowa State University)
  • Jack C. M. Dekkers (Iowa State University)


Random regression models are commonly used for analysis of longitudinal traits measured across time such as egg production in chickens and milk production in cattle. In this study, we include genomic information for evaluation of longitudinal traits using a random regression reduced animal model with a genomic relationship matrix. Substantial increases in accuracy of estimated breeding values were observed when applying the proposed method to egg production records in chickens.

Keywords: Animal Science

How to Cite:

Wolc, A., Arango, J., Settar, P., Fulton, J. E., O'Sullivan, N. P., Preisinger, R., Fernando, R. L., Garrick, D. J. & Dekkers, J. C., (2014) “Application of Genomic Information to Longitudinal Traits”, Iowa State University Animal Industry Report 11(1). doi: https://doi.org/10.31274/ans_air-180814-1185

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Published on
01 Jan 2014
Peer Reviewed