Multi-trait covariance functions to estimate genetic correlations between milk yield, dry matter intake and live weight during lactation

C1 - Edited contributions to conferences/learned societies

Veerkamp, R. F. and Thompson, R. 1999. Multi-trait covariance functions to estimate genetic correlations between milk yield, dry matter intake and live weight during lactation. Metabolic stress in dairy cows. British Society of Animal Science Occasional Publication No. 24 . Cambridge University Press (CUP). https://doi.org/10.1017/S1463981500043168

AuthorsVeerkamp, R. F. and Thompson, R.
Abstract

Energy balance is a function of dry-matter intake (DMI), live weight and milk yield over a certain time period. To investigate potential strategies to use genetic selection for the improvement of the negative energy balance, genetic co-variances were estimated among DMI, live weight and milk yield during the first 15 weeks of lactation (no.=628). Rather than estimating the full 45 by 45 matrix a random regression model was used to estimate a second order covariance functions for the additive genetic and permanent environmental effects. Fixed effects were test-day, a group effect and week in lactation. Estimates for the genetic covariance function demonstrated that a high level of milk yield is only moderately correlated with a high level of DMI (0.21) but very strongly correlated to an increase of intake (0.97) and a loss of live weight (-0.46) during the first 15 weeks of lactation. Levels of weight and intake were correlated strongly (0.81). Estimates for the genetic correlations between weeks 1 and 15 were 0.79, 0.34 and 0.83 for milk yield, DMI and live weight respectively. DMI during early lactation was negatively correlated with milk yield but DMI during the later weeks was positively correlated with milk yield. The implication is that when selection is for a linear combination of milk yield, DMI and live weight (i.e. energy balance or efficiency) the moment in lactation of measuring each trait on the cow is of importance

Year of Publication1999
Digital Object Identifier (DOI)https://doi.org/10.1017/S1463981500043168
Open accessPublished as non-open access
Journal citation24, pp. 147-151
PublisherCambridge University Press (CUP)
Book editorSimm, G.
Lawrence, T. L. J.
Pryce, J. E.
Nielsen, B. L.
Groen, A. F.
Oldham, J. D.
Funder project or code207
445
Project: 141433
Output statusPublished
Publication dates
Online27 Feb 2018
Copyright licensePublisher copyright

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