Estimation of genotype X environment interactions, in a grassbased system, for milk yield, body condition score,and body weight using random regression models

D.P. Berry, F. Buckley, P. Dillon, R.D. Evans, M. Rath, R.F. Veerkamp

    Research output: Contribution to journalArticleAcademicpeer-review

    31 Citations (Scopus)

    Abstract

    (Co)variance components for milk yield, body condition score (BCS), body weight (BW), BCS change and BW change over different herd-year mean milk yields (HMY) and nutritional environments (concentrate feeding level, grazing severity and silage quality) were estimated using a random regression model. The data analysed included records from 7478 multiparous upgraded Holstein–Friesian dairy cows. There were G×E interactions for BCS across all environments and for BW change across different concentrate levels and silage quality environments. There was a three-fold increase in the genetic standard deviation (S.D.) for BCS change to day 60 of lactation (CS60-5) and a doubling of the genetic S.D. for BCS at day 5 (CS5) as silage quality improved. The genetic variance for CS60-5 increased as concentrate level increased and as grazing severity became tighter. There was significant re-ranking of animals for milk yield, CS5 and CS60-5 over the different HMY environments; genetic correlations fell to -0.60 between extreme HMY environments for CS60-5 and were as low as 0.41 for CS5 across different HMY environments.
    Original languageEnglish
    Pages (from-to)191-203
    JournalLivestock Production Science
    Volume83
    Issue number2-3
    DOIs
    Publication statusPublished - 2003

    Keywords

    • dairy-cows
    • covariance functions
    • genetic evaluation
    • live-weight
    • feed-intake
    • holstein
    • cattle
    • traits
    • efficiency
    • level

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