Ayalew Wondossen, Aliy Mohammed, Negussie Enyew
Wolkite University College of Agriculture and Natural Resource, P.O. Box 07, Wolkite, Ethiopia.
Jimma University College of Agriculture and Veterinary Medicine, P.O. Box, 307 Jimma, Ethiopia.
Asian-Australas J Anim Sci. 2017 Nov;30(11):1550-1556. doi: 10.5713/ajas.17.0198. Epub 2017 Jun 27.
This study estimated the genetic parameters for productive and reproductive traits.
The data included production and reproduction records of animals that have calved between 1979 and 2013. The genetic parameters were estimated using multivariate mixed models (DMU) package, fitting univariate and multivariate mixed models with average information restricted maximum likelihood algorithm.
The estimates of heritability for milk production traits from the first three lactation records were 0.03±0.03 for lactation length (LL), 0.17±0.04 for lactation milk yield (LMY), and 0.15±0.04 for 305 days milk yield (305-d MY). For reproductive traits the heritability estimates were, 0.09±0.03 for days open (DO), 0.11±0.04 for calving interval (CI), and 0.47±0.06 for age at first calving (AFC). The repeatability estimates for production traits were 0.12±0.02, for LL, 0.39±0.02 for LMY, and 0.25±0.02 for 305-d MY. For reproductive traits the estimates of repeatability were 0.19±0.02 for DO, and to 0.23±0.02 for CI. The phenotypic correlations between production and reproduction traits ranged from 0.08±0.04 for LL and AFC to 0.42±0.02 for LL and DO. The genetic correlation among production traits were generally high (>0.7) and between reproductive traits the estimates ranged from 0.06±0.13 for AFC and DO to 0.99±0.01 between CI and DO. Genetic correlations of productive traits with reproductive traits were ranged from -0.02 to 0.99.
The high heritability estimates observed for AFC indicated that reasonable genetic improvement for this trait might be possible through selection. The h2 and r estimates for reproductive traits were slightly different from single versus multi-trait analyses of reproductive traits with production traits. As single-trait method is biased due to selection on milk yield, a multi-trait evaluation of fertility with milk yield is recommended.
本研究估计了生产和繁殖性状的遗传参数。
数据包括1979年至2013年间产犊动物的生产和繁殖记录。使用多变量混合模型(DMU)软件包,采用平均信息约束最大似然算法拟合单变量和多变量混合模型来估计遗传参数。
前三个泌乳记录中,产奶性状的遗传力估计值为:泌乳期长度(LL)0.03±0.03,泌乳期产奶量(LMY)0.17±0.04,305天产奶量(305-d MY)0.15±0.04。繁殖性状的遗传力估计值为:空怀天数(DO)0.09±0.03,产犊间隔(CI)0.11±0.04,初产年龄(AFC)0.47±0.06。生产性状的重复力估计值为:LL为0.12±0.02,LMY为0.39±0.02,305-d MY为0.25±0.02。繁殖性状的重复力估计值为:DO为0.19±0.02,CI为0.23±0.02。生产性状与繁殖性状之间的表型相关性范围为:LL与AFC为0.08±0.04,LL与DO为0.42±0.02。生产性状之间的遗传相关性通常较高(>0.7),繁殖性状之间的估计值范围为:AFC与DO为0.06±0.13,CI与DO为0.99±0.01。生产性状与繁殖性状的遗传相关性范围为-0.02至0.99。
观察到的AFC较高的遗传力估计值表明,通过选择可能对该性状进行合理的遗传改良。繁殖性状的h2和r估计值与繁殖性状和生产性状的单性状分析与多性状分析略有不同。由于对产奶量的选择,单性状方法存在偏差,因此建议对繁殖力和产奶量进行多性状评估。