
Volume Biology - Feed Intake and Efficiency 1, Proceedings of the World Congress on Genetics Applied to Livestock Production
Browse all proceedingsSearch the proceedings
“Challenges and limitations for improving feed efficiency from metagenomics data”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Feed Intake and Efficiency 1, p. 93, 2018.
(894.57 KB)
, 
“Including feed intake data from U.S. Holsteins in genomic prediction”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Feed Intake and Efficiency 1, p. 125, 2018.
(416.28 KB)
, 
“Genomic prediction for feed efficiency: a validation of accuracy and its impact on methane emissions of dairy cows”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Feed Intake and Efficiency 1, p. 179, 2018.
(213.93 KB)
, 
“Selection for low or high feed intake cows: genotype by environment interaction for milk yield, live weight and dry matter intake in dairy cows”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Feed Intake and Efficiency 1, p. 189, 2018.
(432.75 KB)
, 
“Genomic insights for feeding behavior traits in beef cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Feed Intake and Efficiency 1, p. 234, 2018.
(377.56 KB)
, 
“Improving feed efficiency and net merit by including maintenance requirement in selection of dairy cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Feed Intake and Efficiency 1, p. 815, 2018.
(320.38 KB)
, 
“The potential of using rumen microbial gene abundances to improve feed efficiency in beef cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Feed Intake and Efficiency 1, p. 865, 2018.
(538.67 KB)
, 