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基于自动挤奶系统数据的波兰荷斯坦-弗里生牛产奶性状遗传参数估计

Genetic Parameters Estimation of Milking Traits in Polish Holstein-Friesians Based on Automatic Milking System Data.

作者信息

Aerts Joanna, Piwczyński Dariusz, Ghiasi Heydar, Sitkowska Beata, Kolenda Magdalena, Önder Hasan

机构信息

Lely Services B.V., Cornelis van der Lelylaan 1, 3147 PB Maassluis, The Netherlands.

Department of Animal Biotechnology and Genetics, Faculty of Animal Breeding and Biology, UTP University of Science and Technology, 85-084 Bydgoszcz, Poland.

出版信息

Animals (Basel). 2021 Jun 29;11(7):1943. doi: 10.3390/ani11071943.

Abstract

The automatic milking system (AMS) provides a large amount of information characterizing the course of each milking cow, which is not available in the conventional system. The aim of our study was to estimate heritability and genetic correlations for milk yield (MY), milking frequency (MF), and speed (MS) for 1713 Polish Holstein-Friesian primiparous cows milked in barns with an AMS. Daily heritability indicators estimated using second-order Legendre polynomials and Random Regression Models showed high variation during lactation, ranging 0.131-0.345 for MY, 0.153-0.322 for MF, and 0.336-0.493 for MS. The rates of genetic correlation between traits ranged: 0.561-0.929 for MY-MF, (-0.255)-0.090 for MF-MS, (-0.174)-0.020 for MY-MS. It is possible to carry out effective selection for milking speed, which provides an opportunity to increase the number of cows per milking robot, and thus increase the profitability of production in the herd. The results proved that selection for milk yield and daily milking frequency is also feasible. The research showed a high, positive genetic correlation between milking frequency and milk yield, which allows us to conclude that preferring breeding cows with a natural tendency to frequent visits to the milking robot should indirectly improve the genetic basis of milking.

摘要

自动挤奶系统(AMS)能提供大量描述每头奶牛挤奶过程的信息,而传统系统则无法提供这些信息。我们研究的目的是估计1713头在带有AMS的牛舍中挤奶的波兰荷斯坦-弗里生初产奶牛的产奶量(MY)、挤奶频率(MF)和速度(MS)的遗传力及遗传相关性。使用二阶勒让德多项式和随机回归模型估计的每日遗传力指标在泌乳期间显示出很大差异,MY的范围为0.131 - 0.345,MF为0.153 - 0.322,MS为0.336 - 0.493。性状之间的遗传相关率范围为:MY - MF为0.561 - 0.929,MF - MS为(-0.255)- 0.090,MY - MS为(-0.174)- 0.020。对挤奶速度进行有效选择是可行的,这为增加每个挤奶机器人的奶牛数量提供了机会,从而提高牛群的生产盈利能力。结果证明,对产奶量和每日挤奶频率进行选择也是可行的。研究表明挤奶频率和产奶量之间存在高度正遗传相关性,这使我们可以得出结论,选择天生倾向于频繁前往挤奶机器人处的育种奶牛应能间接改善挤奶的遗传基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3362/8300275/f2a639cc32ee/animals-11-01943-g001.jpg

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