Exploring underlying drivers of genotype by environment interactions in feed efficiency traits for dairy cattle with a mechanistic model involving energy acquisition and allocation-Reference-Cited by-同舟云学术

Exploring underlying drivers of genotype by environment interactions in feed efficiency traits for dairy cattle with a mechanistic model involving energy acquisition and allocation

Published:2021-05 Issue:5 Volume:104 Page:5805-5816
ISSN:0022-0302
Container-title:Journal of Dairy Science
language:en
Short-container-title:Journal of Dairy Science

Author:

Puillet L.^ORCID,Ducrocq V.,Friggens N.C.,Amer P.R.^ORCID

Publisher

American Dairy Science Association

Subject

Genetics,Animal Science and Zoology,Food Science

Reference20 articles.

1. Cell Biology Symposium: Genetics of feed efficiency in dairy and beef cattle;Berry;J. Anim. Sci.,2013

2. Genetics and genomics of reproductive performance in dairy and beef cattle;Berry;Animal,2014

3. Simulation modelling of dairy cattle performance based on knowledge of genotype, environment and genotype by environment interactions: Current status;Bryant;Agric. Syst.,2005

4. Combining genetic and physiological data to identify predictors of lifetime reproductive success and the effect of selection on these predictors on underlying fertility traits;Dennis;J. Dairy Sci.,2018

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