商业奶牛场玉米青贮和总混合口粮变化的来源

Paula Turiello PAS , Alejandro Larriestra , Fernando Bargo , Alejandro Relling PAS , William Weiss PAS
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引用次数: 5

摘要

需要关于饲料和日粮特性变异来源的信息,以制定适当的战略,减少不确定性,并将真正的变异与与测量有关的变异区分开来。目的是确定玉米青贮(CS)和TMR中DM含量和粒度分布变化的来源。连续3天访问阿根廷10个奶牛场,采集CS和TMR样品,并对饲料管理进行审核。玉米青贮和TMR每天重复取样。采用CS的InfoStat混合线性模型和TMR的广义线性混合模型计算方差分量。CS模型包括场内效应和场内日效应,TMR模型包括场内效应、场内圈效应、圈内日效应和栏内料位效应。残留效应解释了抽样和分析的差异。农场是DM、CS和TMR粒度分布的最大变异源,占总变异的40% ~ 92%。对于CS,与DM的剩余变异相比,农场内的日变异更大(分别为7%和0.6%),这意味着从一天到另一天发生了实际变化。对于TMR, DM含量的日变化很大,可能与饲料管理错误有关。对于TMR中的粒度分布,采样和分析的变化大于饲料铺位的变化,表明需要增加复制和平均以提高精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sources of variation in corn silage and total mixed rations of commercial dairy farms

Information on sources of variation in feed and diet characteristics is needed to develop appropriate strategies to reduce uncertainty and to separate true variation from that associated with measurements. The objectives were to determine sources of variation in DM content and particle size distribution in corn silage (CS) and TMR. Ten dairy farms in Argentina were visited on 3 consecutive days, samples of CS and TMR were taken, and an audit of feed management was conducted. Corn silage and TMR were sampled in duplicate each day. Variance components were calculated with the Mixed Linear Models of InfoStat for CS and Generalized Linear Mixed Models for TMR. For CS, the model included the effects of farm and day within farm, and for TMR, the model included farm, pen within farm, day within pen, and feed bunk site within pen. Residual effects accounted for sampling and analytical variation. Farm was the greatest source of variation for DM and particle size distribution of CS and TMR, explaining 40 to 92% of total variation. For CS, day within farm variation was greater compared with residual variation in DM (7 and 0.6%, respectively), meaning real changes occurred from one day to the other. For TMR, daily variation in DM content was high and possibly associated with feed management errors. For particle size distribution in TMR, sampling and assaying variation was greater than feed bunk site variation, indicating increased replication and averaging is needed to increase precision.

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