摘要
[目的]探究江苏某牛场荷斯坦牛日产奶量和乳成分的影响因素。[方法]试验采集了该规模化牛场2018—2020年139 703条测定数据,并利用多因素方差模型对其进行系统的分析。[结果]不同胎次、测定季节、产犊季节、泌乳月对荷斯坦牛日产奶量、乳脂率、乳蛋白率、体细胞评分、乳尿素氮均有极显著影响(P<0.01)。产奶量与乳脂率、乳蛋白率、体细胞评分均存在极显著负相关。[结论]综上结果,在生产中,应结合胎次、季节、产犊时间、泌乳等多种因素,灵活调整牛群结构、生产规划和饲养管理,以实现提高产奶量和乳品质的目的。
[Objective] In order to explore the factors affecting the daily milk production and milk composition of Holstein cows in a farm in Jiangsu. [Method] This experiment collected 139 703 measured data from a large-scale farm in Jiangsu from 2018 to 2020, and used a multi-factor variance model to systematically analyze it. [Result] The results showed that: different parity, measuring season, calving season and lactation month had extremely significant effects on the daily milk production, milk fat rate, milk protein rate, somatic cell score and milk urea nitrogen of Holstein caws(P<0.01). There was a very significant negative correlation between milk production and milk fat rate, milk protein rate, and somatic cell score. [Conclusion] In summary, the structure of the herd, production planning and feeding management should be adjusted flexibly in combination with parity, season, calving time, lactation and other factors to achieve the goal of improving milk production and milk quality.
作者
刘钉钉
卢徐斌
赵静雯
孙雨佳
杨章平
LIU Ding-ding;LU Xu-bin;ZHAO Jing-wen;SUN Yu-jia;YANG Zhang-ping(Yangzhou University,College of Animal Science and Technology,Yangzhou,Jiangsu 225009)
出处
《中国牛业科学》
2022年第1期1-5,9,共6页
China Cattle Science
基金
江苏现代农业(奶牛)产业技术体系项目(JATS[2020]433)。
关键词
荷斯坦牛
日产奶量
乳成分
影响因素
Holstein cattle
daily milk production
milk composition
influencing factors
