Estimation of 305-day milk yield from test-day records of Chinese Holstein cattle

文献类型： 外文期刊

第一作者： Kong, Ling-na

作者： Kong, Ling-na;Li, Jian-bin;Li, Rong-ling;Huang, Jin-ming;Hou, Ming-hai;Zhong, Ji-feng;Kong, Ling-na;Sun, Shao-hua;Zhao, Xiu-xin;Ju, Zhi-hua;Ma, Ya-bin

作者机构：

关键词： Daily milk yield; model; lactation curve; prediction

期刊名称：JOURNAL OF APPLIED ANIMAL RESEARCH （ 影响因子：1.63； 五年影响因子：1.727 ）

ISSN： 0971-2119

年卷期： 2018 年 46 卷 1 期

页码：

收录情况： SCI

摘要： This study compared six models, namely the Gaines, Sikka, Nelder, Wood, Dhanoa and Hayashi models, for the estimation of 305 days milk yield in Chinese Holstein cattle. We compared their ability to reliably predict 305-day lactation yield from incomplete (3 or 6 test-day (TD)) records. Our findings revealed that the accuracies (ACC) were 0.6655-0.9948, 0.8652-0.9977 and 0.9169-0.9968, whereas the mean square errors (MSE) were 0.0121-2.4807, 0.0139-1.0716 and 0.0170-0.5528 when 3 TD records were used in the first, second and higher lactations, respectively; when 6 TD records were used, the ACC were 0.8800-0.9992, 0.8742-0.9998 and 0.7950-0.9996, whereas the MSE values were 0.0017-0.3348, 0.0011- 0.8605 and 0.0021-1.4869 in the first, second and higher lactations, respectively. All the models were fitted more accurately with 6 TD than 3 TD records. Further analysis revealed that the curves made by the Nelder, Wood and Dhanoa models were close to the actual curves. These three models can be used to predict the 305-day yield for management decisions in farms and for the genetic evaluation of Chinese Holstein cattle.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序