Sesana R C, Baldi F, Borquis R R A, Bignardi A B, Hurtado-Lugo N A, El Faro L, Albuquerque L G, Tonhati H
Departamento de Zootecnia, Universidade Estadual Paulista, Jaboticabal, SP, Brasil.
Agência Paulista de Tecnologia dos Agronegócios, Pólo Regional Centro Leste, Ribeirão Preto, SP, Brasil.
Genet Mol Res. 2014 Apr 14;13(2):2784-95. doi: 10.4238/2014.April.14.7.
The objective of this study was to estimate variance components and genetic parameters for accumulated 305-day milk yield (MY305) over multiple ages, from 24 to 120 months of age, applying random regression (RRM), repeatability (REP) and multi-trait (MT) models. A total of 4472 lactation records from 1882 buffaloes of the Murrah breed were utilized. The contemporary group (herd-year-calving season) and number of milkings (two levels) were considered as fixed effects in all models. For REP and RRM, additive genetic, permanent environmental and residual effects were included as random effects. MT considered the same random effects as did REP and RRM with the exception of permanent environmental effect. Residual variances were modeled by a step function with 1, 4, and 6 classes. The heritabilities estimated with RRM increased with age, ranging from 0.19 to 0.34, and were slightly higher than that obtained with the REP model. For the MT model, heritability estimates ranged from 0.20 (37 months of age) to 0.32 (94 months of age). The genetic correlation estimates for MY305 obtained by RRM (L23.res4) and MT models were very similar, and varied from 0.77 to 0.99 and from 0.77 to 0.99, respectively. The rank correlation between breeding values for MY305 at different ages predicted by REP, MT, and RRM were high. It seems that a linear and quadratic Legendre polynomial to model the additive genetic and animal permanent environmental effects, respectively, may be sufficient to explain more parsimoniously the changes in MY305 genetic variation with age.
本研究的目的是应用随机回归(RRM)、重复性(REP)和多性状(MT)模型,估计24至120月龄多个年龄阶段累计305天产奶量(MY305)的方差分量和遗传参数。共利用了来自1882头摩拉水牛的4472条泌乳记录。在所有模型中,将当代组(牛群-年份-产犊季节)和挤奶次数(两个水平)视为固定效应。对于REP和RRM,加性遗传效应、永久环境效应和残差效应被作为随机效应。MT模型除了不考虑永久环境效应外,与REP和RRM具有相同的随机效应。残差方差通过具有1、4和6类的阶跃函数进行建模。用RRM估计的遗传力随年龄增加,范围从0.19到0.34,略高于用REP模型获得的遗传力。对于MT模型,遗传力估计范围从0.20(37月龄)到0.32(94月龄)。通过RRM(L23.res4)和MT模型获得的MY305的遗传相关估计值非常相似,分别从0.77到0.99和从0.77到0.99。由REP、MT和RRM预测的不同年龄MY305育种值之间的秩相关很高。分别用线性和二次勒让德多项式对加性遗传效应和动物永久环境效应进行建模,似乎足以更简约地解释MY305遗传变异随年龄的变化。