畜牧兽医学报 ›› 2020, Vol. 51 ›› Issue (12): 3023-3032.doi: 10.11843/j.issn.0366-6964.2020.12.012

• 遗传育种 • 上一篇    下一篇

影响江苏地区荷斯坦牛体细胞数变化模式的非遗传因素分析

梁艳, 张强, 高启松, 王海洋, 郭梦玲, 李明勋, 张慧敏, 杨章平, 陈志*, 毛永江*   

  1. 扬州大学动物科学与技术学院, 扬州 225009
  • 收稿日期:2020-05-26 出版日期:2020-12-25 发布日期:2020-12-23
  • 通讯作者: 陈志,主要从事奶牛遗传育种研究,E-mail:chenzhijerom@163.com;毛永江,主要从事奶牛遗传育种研究,E-mail:cattle@yzu.edu.cn
  • 作者简介:梁艳(1994-),女,安徽阜阳人,博士生,主要从事奶牛健康养殖研究,E-mail:15755081060@163.com
  • 基金资助:
    2019年度省级现代农业发展项目(2019-SJ-039-08-04);江苏省高等学校自然科学研究项目(18KJA230003);国家自然科学基金(31972555);江苏省“六大人才高峰”项目资助(NY-093);江苏现代农业(奶牛)产业技术体系项目(JATS[2018]300)

Analysis of Non-genetic Factors Affecting SCC Change Pattern of Holstein Cows in Jiangsu Province

LIANG Yan, ZHANG Qiang, GAO Qisong, WANG Haiyang, GUO Mengling, LI Mingxun, ZHANG Huimin, YANG Zhangping, CHEN Zhi*, MAO Yongjiang*   

  1. College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
  • Received:2020-05-26 Online:2020-12-25 Published:2020-12-23

摘要: 旨在探究江苏地区荷斯坦牛体细胞数变化模式的影响因素。本研究通过对江苏地区12个奶牛场2017—2019年荷斯坦牛253 706条DHI测定日SCC记录进行分析,在划分9种SCC变化模式基础上,利用最小二乘法探究不同牧场规模、胎次、产犊季节、产犊间隔和305天产奶量对荷斯坦牛SCC变化模式的影响。结果表明,SCC模式在各因素不同水平间分布均有极显著差异(P<0.01)。其中,较低-维持模式在5 000头以上的牧场比例最高,较低-感染模式的比例最低;感染-维持模式在1 000头以下的牧场比例最高,较低-维持模式的比例最低。较低-维持模式在1胎牛的比例最高,感染-痊愈模式的比例最低;较低-感染模式在5胎牛的比例最高,较低-维持模式的比例最低。较低-感染模式在春季产犊时奶牛的比例最高,较低-维持模式的比例最低;易感-降低模式在夏季产犊时奶牛的比例最高,较低-感染模式的比例最低。较低-感染模式在产犊间隔为441 d以上的奶牛比例最高,较低-感染模式在产犊间隔为300~400 d的奶牛比例最低。较低-感染模式在305天产奶量为3 000~5 000 kg的奶牛比例最高;较低-维持模式在305天产奶量为9 001~11 000 kg的奶牛比例最高,感染-痊愈模式的比例最低。上述结果表明,不同牧场规模、胎次、产犊季节、产犊间隔和305天产奶量对荷斯坦牛SCC变化模式的分布均有一定影响,该结果为荷斯坦牛隐性乳房炎的预测提供了参考。

关键词: SCC变化模式, 非遗传因素, 荷斯坦牛

Abstract: The objective of this study was to explore the influence factors of SCC change pattern of Holstein cows in Jiangsu. Based on the division of 9 SCC change patterns, 253 706 DHI records of Holstein cows from 2017 to 2019 in 12 dairy farms in Jiangsu province were analyzed, and the least squares model was used to explore the influence of different farm size, parities, calving seasons, calving intervals, and 305-days milk production on SCC change pattern. The results showed that the distribution of SCC patterns at different levels of each factor was significantly different (P<0.01). Among them, the percentage of lower to maintain pattern was the highest, and lower to infection pattern was the lowest for cows in farm with more than 5 000 cows. The percentage of infected to maintain pattern was the highest, and lower to maintain pattern was the lowest for cows in farm with less than 1 000 cows. The percentage of lower to maintain pattern was the highest, and infected to healed pattern was the lowest for cows with parity 1. The percentage of lower to infection pattern was the highest, and lower to maintain pattern was the lower for cows with parity 5. The percentage of lower to infection pattern was the highest, and lower to maintain pattern was the lowest for cows calving in spring. The percentage of susceptible to reduce pattern was the highest, lower to infection pattern was the lowest for cows calving in summer. The percentage of lower to infection pattern was the highest for cows with calving interval more than 441 d, and lowest for cows with calving interval with 300-400 d. The percentage of lower to infection pattern was the highest for cows with 305-days milk production of 3 000-5 000 kg. The percentage of lower to maintain pattern was the highest, and infected to healed pattern was the lowest for cows with 305-days milk production was 9 001-11 000 kg. The results indicate that different farm sizes, parities, calving seasons, calving interval, and levels with 305-days milk production have certain influences on the distribution of the SCC change patterns in Holstein cows. The results provide references for the prediction of subclinical mastitis in Holstein cows.

Key words: SCC change pattern, non-genetic factors, Holstein cows

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