不同管理水平下苍白莫特利牛种群母牛评价之间的关系

N. S. Altukhova, I. Yanchukov, A. V. Savinov, Yu. A. Ivanov
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引用次数: 0

摘要

繁殖技术使高产动物的遗传物质得以在全球范围内广泛传播。然而,同一头公牛的精液在不同地区(国家)的分配并不总能满足牲畜育种者的期望。这可能是由于不同地区的种畜遗传结构、育种目标和环境条件各不相同。文章介绍了对俄罗斯联邦五个地区(别尔哥罗德州、沃罗涅日州、库尔斯克州、奥廖尔州和阿尔泰边疆区)白蹄奶牛种群中使用的 286 种父本的育种价值进行评估的结果。评估根据女儿产奶量的单项性状和多项性状(选择指数)进行。研究结果表明,在总体信息水平(群体水平)和单个地区(地区水平)的牛群中,相同父本的育种价值估计值存在差异。种群管理水平上的基因型评估准确率(7%-15%)明显高于地区水平。在不同管理水平(种群-地区)下,相同父本的育种价值在女儿奶产量单一性状上的相关系数为 0.522-0.960,在复合性状(选择指数)上的相关系数为 0.157-0.937。这表明,在单个地区水平上选择最佳父本时,单一奶产量性状的错误率可达 4-48%,复合性状的错误率可达 6.3-84%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship between evaluations of sires in pale-motley cattle population at different levels of management
Reproductive technologies have led to a wide and global distribution of genetic material from animals with high productivity. However, the distribution of semen from the same bulls to different regions (countries) may not always meet the expectations of livestock breeders. This aspect may be due to the fact that the genetic structure of the breeding stock, breeding goals and environmental conditions vary from region to region. The article presents the results of evaluating the breeding value of 286 sires used on the breeding stock of the pale-motley dairy cattle population in five regions of the Russian Federation (Belgorod, Voronezh, Kursk, Oryol regions and Altai Territory). The evaluation was carried out according to individual traits of daughters' milk productivity, and on multiple traits (selection index). Based on the results of the study, differences were identified in estimates of the breeding value of the same sires at the level of total information (population level) and in the herds of single regions (regional level). The accuracy of evaluating genotypes at the population management level was significantly higher (by 7–15 percent) than it was at regional levels. The correlations between the breeding value of the same sires at different levels of management (population-region) for single traits of daughter’s milk productivity were 0.522–0.960, for the complex of traits (selection index) – from 0.157 to 0.937. This indicates that when selecting the best sires at the level of an individual region, mistakes can reach 4–48 % for single milk productivity traits and from 6.3 to 84 % for their complex.
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