Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries

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Stephansen, R.B. | Martin, P. | Gredler-Grandl, B. | Manzanilla Pech, C.I.V. | Sahana, G. | Ducrocq, V. | Baes, C. | Schenkel, F. | Veerkamp, R.F. | Lassen, J.

Edité par CCSD ; Wageningen Academic Publishers -

International audience. To optimize breeding for feed efficiency, dry matter intake data from 3,967 Holstein cows with 131,234 weekly records from Denmark, France, The Netherlands, and Canada were combined. A random regression model was fitted to 1 st and 2 nd parity data for dry matter intake, energy corrected milk and body weight. Results showed that genetic residual feed intake is heritable in both parities, with an average heritability of 0.21. Genetic correlations across lactation and parities showed moderate to high estimates between mid and late lactation within parity. Early lactation had low genetic correlation with mid and late lactation. The genetic correlations between parities were around zero at all lactation stages. These findings show the importance of data collection and modelling at all lactation stages and parities.

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