Accuracy of alternative methods of estimating weekly yields of milk fat and protein

Author:

Clarke T,McGowan A

Abstract

Thirty-four procedures were used to estimate the weekly yields of milk, milk fat and milk protein of 19 grazing cows on five occasions between the third and eighth months of lactation. The standard deviation of daily milk yield, fat and protein percentage of individual cows averaged 1 .3 litres, 0.58% fat and 0 - 10% protein, respectively. The four factors involved were: sampling frequency, sampling distribution, basis of compositing subsamples for compositional analyses, and the use of total weekly yields or milk yields on day(s) of sampling, for estimating yields of fat and protein. There were no substantial interactions between the 34 procedures and stage of lactation. The average difference between the estimate of weekly milk yield from any one day's yield and the true weekly milk yield (accuracy) was 7.2 litres/week. The equivalent values for fat and protein yields were 0.59 and 0.22 kg/week. When sampling frequency and measurement of milk yield was increased from one to six days per week, the accuracy of the weekly estimate of milk yield (MY) improved by 5.7 litres/week and that of fat yield (FY) by 0.49 kg/week. If total weekly milk yield was used to estimate fat yield, instead of using milk yield on days of testing only, the improvement in accuracy ranged from 0. 15 to 0.03 kg/week for one and six samplings, respectively. Two equally spaced sampling days gave a marginally better (0.74 litres/week) estimate of milk yield than two consecutive days but a marginally poorer (0.10 kg/week) estimate of fat yield. Yield weighting of subsamples for fat or protein analyses did not improve the estimate of fat yield. As the day to day variation in level of protein in the milk was low, frequency and method of sampling for protein analysis was not important but the accuracy of estimating milk yield had a large effect on estimated weekly protein yield.

Publisher

CSIRO Publishing

Subject

General Agricultural and Biological Sciences

Cited by 1 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