Milk performance data were collected from lactating Holstein cows (n=660) in the Yaqui Valley, Sonora, Mexico where temperatures in summer average 32ºC. Cows were genotyped for 179 SNP from 41 genes in the growth hormone signaling and prolactin pathways. Twenty-four SNP had significant association with milk production traits and used to calculate molecular breeding value (MBV; 4448.8 ± 33 L) in 551 cows. Two statistical models were used: full model with effects for age, lactation season, contemporary group (farm management) and MBV, and a reduced model with MBV. The coefficients of determination among the models were compared and we found 2.7% of the variation in adjusted 305 days milk production (σ2=598.9x10-3) was attributed to MBV. Our findings support our hypothesis, MBV predicts milk performance traits in heat stressed Holstein cows in Sonora.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Genetic Improvement Programs: Selection for harsh environments and management of animal genetic resources (Posters), , 429, 2014
Download Full PDF
Search the Proceedings
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.