畜牧兽医学报 ›› 2018, Vol. 49 ›› Issue (3): 488-496.doi: 10.11843/j.issn.0366-6964.2018.03.004

• 遗传育种 • 上一篇    下一篇

奶牛性情评定方法及其影响因素分析

张驰1, 罗宇茜1, 王嘉熠1, 常瑶1, 李源韬1, 苏义童1, 黄铭逸1, 徐伟1, 张海亮1, 董刚辉2, 李锡智2, 王雅春1*   

  1. 1. 中国农业大学动物科技学院, 北京 100193;
    2. 北京首农畜牧发展有限公司, 北京 100029
  • 收稿日期:2017-08-25 出版日期:2018-03-23 发布日期:2018-03-23
  • 通讯作者: 王雅春,主要从事分子数量遗传学研究,E-mail:wangyachun@cau.edu.cn
  • 作者简介:张驰(1996-),男,四川成都人,本科生,主要从事动物科学研究,E-mail:530647550@163.com
  • 基金资助:

    现代农业(奶牛)产业技术体系建设专项资金(CARS-36);现代农业产业技术体系北京市奶牛创新团队(BAIC06-2017);长江学者和创新团队发展计划(IRT_15R62)

Study on Scoring Method and Influencing Factors of Temperament in Dairy Cows

ZHANG Chi1, LUO Yu-xi1, WANG Jia-yi1, CHANG Yao1, LI Yuan-tao1, SU Yi-tong1, HUANG Ming-yi1, XU Wei1, ZHANG Hai-liang1, DONG Gang-hui2, LI Xi-zhi2, WANG Ya-chun1*   

  1. 1. College of Animal Science and Technology, China Agricultural University, Beijing 100193, China;
    2. Beijing Sunlon Livestock Development Co., Ltd., Beijing 100029, China
  • Received:2017-08-25 Online:2018-03-23 Published:2018-03-23

摘要:

旨在建立简便可行的奶牛性情评定方法并探究性情在奶牛生产中的重要性,本研究采用两种简便、快捷的性情评分方法,于2016年7-8月在北京地区7个牛场现场评定3 988头处于泌乳期的荷斯坦牛,采用固定模型分析奶牛性情的影响因素及性情对产奶量、体况评分(BCS)的影响。分析表明,两种方法均能显示奶牛性情的差异,且两种性情评分方法均值差异仅为0.04,秩相关检验无显著差异;不同场、胎次、泌乳阶段的奶牛性情评分之间有显著性差异(P<0.05),头胎牛性情暴躁的概率高于经产牛,泌乳高峰期(45~99 d)奶牛性情暴躁的概率高于其他泌乳阶段,尤其高于泌乳期天数300 d以后的阶段。奶牛性情评分对校正奶量和BCS均无显著影响,但不同性情评分奶牛在产奶性能上存在差异。本研究提出的两种性情评分方法简便易行,可用于快速评定大规模牛群的性情,为改善牛群福利、提高管理水平提供便利工具。

Abstract:

To establish simple and feasible methods to evaluate the temperament of dairy cow and study the importance of temperament in dairy production, totally 3 988 milking Holstein cows from 7 large-scale farms in Beijing were assessed to derive their temperament scores based on two easy and quick scoring methods of temperament in dairy cows during July and August in 2016. The influence factors of temperament score and the effects of temperament on milk yield and body condition score (BCS) were analyzed using fixed effect model. The results showed that both of the two methods could reveal the variation of the temperament among dairy cows, and there was no significant differences between the ranking of the two scoring methods based on rank correlation test, there was a trivial difference of 0.04 between the mean values of two scoring methods. Farm, parity and lactation stage had significant effects on temperament score (P<0.05). The proportion of bad temperament cows tended to be higher in the first parity, and probability of dairy cows with bad temperament during lactation peak period (45-99 d) was higher than that in other lactation stages, especially when comparing to cows in the stage of later than 300 days in milk. The effects of temperament score on corrected milk yield and BCS were not significant (P>0.05), however cows with different temperament scores differed in their milk production. The two temperament scoring methods for dairy cow proposed in this study are simple and easy to apply, and can be used to assess the temperament of cows in large-scale farms efficiently, which can provide convenient tools to improve the cow welfare and management.

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