Persistency Within and Between Lactations in Morning, Evening and Daily Test Day Milk in Dairy Goats (short communication)

Author:

Pala A.,Savaş T.

Abstract

Abstract. Persistence in dairy animals can be used as selection criteria. Peak value in lactation can be used to predict total lactation production if within lactation persistence is high. This will provide information on early lactation and shorten generation interval. Major purpose of this study was to determine persistency within and between lactations of Turkish Saanen goats in morning, evening and daily milk yields. Two different methods were employed. One used ratios of the succeeding test days as dependent variables. The multivariate analyses indicated that effects of parity (P=0.05), year (P < 0.01), lactation length (P=0.05) and parity by year interaction (P < 0.01) were large. The other approach was to use within correlations and measure changes in milk production in different parities by using repeated measures analysis and modeling covariance structure using compound symmetry. The within correlations can be used as indicators of persistency. Effects of parity, test day and days in milk (DIM), DIM2, ln(DIM) and [ln(DIM)]2 on morning and evening values and total daily milk weights were analyzed to characterize the lactation curve. Values of DIM and repeated measure id number of the goats were added to the model within parity. Within lactation correlations were estimated as 0.22 for morning, 0.28 for evening and 0.27 for daily milk yield. Evening milk tests can alone be used to estimate lactation milk yield, instead of the total test day milk yield. Milk yield increased until lactation four, and decreased in lactation five in morning, evening and daily milk yields. There was a sharp increase from first lactation to second (ranged from 22.0 to 26.8%) and second lactation to third (ranged from 20.0 to 22.2%).

Publisher

Copernicus GmbH

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