Ilatsia E D, Muasya T K, Muhuyi W B, Kahi A K
Animal Breeding and Genetics Group, Department of Animal Sciences, Egerton University, Njoro, Kenya.
Trop Anim Health Prod. 2007 Jan;39(1):37-48. doi: 10.1007/s11250-006-4408-2.
Data comprising 7211 lactation records of 2894 cows were used to estimate genetic and phenotypic parameters for milk production (lactation milk yield, LMY and lactation length, LL) and fertility (calving interval, CI; number of services per conception, NSC and age at first calving, AFC) traits. Genetic, environmental and phenotypic trends were also estimated. Variance components were estimated using univariate, bivariate and trivariate animal models on based restricted maximum likelihood procedures. Univariate models were used for each trait, while bivariate models were used to estimate genetic and phenotypic correlations between milk production and fertility traits and between LMY, LL, CI and NSC within each lactation. Trivariate models were used in the analysis of LMY, LL, CI and NSC in the first three lactations. Heritability estimates from the univariate model were 0.16, 0.07, 0.03, 0.04 and 0.01 for LMY, LL, CI, AFC and NSC, respectively. The heritability estimates from trivariate analysis were higher for milk production traits than those from univariate analyses. Genetic correlations were high and undesirable between milk production and fertility traits, while phenotypic correlations were correspondingly low. Genetic trends were close to zero for all traits, while environmental and phenotypic trends fluctuated over the study period.
包含2894头奶牛的7211条泌乳记录的数据用于估计产奶量(泌乳期产奶量,LMY和泌乳期长度,LL)和繁殖力(产犊间隔,CI;每次受孕配种次数,NSC和初产年龄,AFC)性状的遗传和表型参数。还估计了遗传、环境和表型趋势。方差成分使用基于限制最大似然法的单变量、双变量和三变量动物模型进行估计。每个性状使用单变量模型,而双变量模型用于估计产奶量和繁殖力性状之间以及每个泌乳期内LMY、LL、CI和NSC之间的遗传和表型相关性。三变量模型用于分析前三个泌乳期的LMY、LL、CI和NSC。单变量模型的遗传力估计值分别为LMY为0.16、LL为0.07、CI为0.03、AFC为0.04和NSC为0.01。三变量分析的产奶量性状遗传力估计值高于单变量分析。产奶量和繁殖力性状之间的遗传相关性高且不理想,而表型相关性相应较低。所有性状的遗传趋势接近零,而环境和表型趋势在研究期间波动。