COMPARISON OF THREE METHODS OF PREDICTING 305-DAY MILK AND FAT PRODUCTION IN DAIRY COWS

Author:

BATRA T. R.,LEE A. J.

Abstract

The data used in this study consisted of 119 075 complete lactation records accumulated by record of performance (ROP) from 1976 to 1981. Each individual record consisted of 7, 8 or 9 monthly test day milk weights and corresponding fat percentage. The data for each breed (Ayrshire, Guernsey, Holstein, Jersey) were grouped into two ages at freshening — less than 36 mo and greater than or equal to 36 mo. Months of calving were grouped into four seasons: March to May, June to August, September to November, and December to February. For both milk and fat yield, separate sets of extension factors to predict 305-day yield were estimated for each breed, group, and season of calving, using three methods (multiplicative, regression, nonlinear model). A new set of data collected by ROP during 1982 was used to compare three sets of extension factors. The nonlinear model method was better than either the multiplicative or regression methods because of smaller bias and better precision, and because it can be easily implemented in Canadian milk recording programs. Separate extension factors are not required for different geographic zones allocated by ROP. Key words: Extension factors, cattle (dairy)

Publisher

Canadian Science Publishing

Subject

Animal Science and Zoology,Food Animals

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3