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Symposium review: Genetic relationships between different measures of feed efficiency and the implications for dairy cattle selection indexes

机译:研讨会综述:饲料效率不同措施与乳制牛选择指标的影响之间的遗传关系

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摘要

A greater number of dairy economic selection indexesare incorporating a measure of feed efficiency (FE) asa key trait. Definitions of FE traits have ranged fromdry matter intake (DMI) to residual feed intake (RFI),noting that RFI is effectively DMI adjusted for variousenergy sink traits such as body weight (BW) and milkenergy (MilkE). Other definitions of FE fall betweenthese 2 extremes such as feed saved (FS), which combinesRFI and the portion of DMI required to maintainBW. The choice between different FE traits can createconfusion as to how to meaningfully compare their heritabilities,estimated breeding values (EBV) and theircorresponding reliabilities, and how to differentiallyincorporate these EBV into selection indexes. If RFIand FS are merely linear functions of DMI, BW, andMilkE with known genetic variances and covariancesbetween these 3 traits, there may be no need to directlycompute RFI or FS phenotypes to determine theirheritabilities, genetic correlations, EBV, and respectivereliabilities for individual animals. We demonstratehow the estimated total genetic merit is invariant tothe specification of a FE trait within a selection index.That is, economic weights for a selection index involvingone particular FE trait readily convert into the economicweights for a selection index involving a differentlinear function of that FE trait. We use these differentspecifications of FE to provide insight as to the effect ofthe degree of missingness (e.g., paucity of DMI relativeto milk yield records) on the EBV accuracies of thevarious derivative FE traits. We particularly highlightthat the generally observed higher EBV accuracies forDMI, then for FS, and lastly for RFI are partly drivenby the greater genetic correlations of DMI with BWand MilkE and of FS with BW. Finally, we advocatea genetic regression approach to deriving FS and RFIrecognizing that genetic versus residual relationshipsbetween FE component traits may differ substantiallyfrom each other.
机译:更多乳制品经济选择指标包含饲料效率(Fe)的量度一个关键特质。 Fe特征的定义包括干物质摄入(DMI)到残余饲料摄入量(RFI),注意到RFI有效地为各种调整了DMI能量水槽特征如体重(BW)和牛奶能源(Milke)。 FE差之间的其他定义这2个极端(如FEED已保存(FS))结合了RFI和DMI的一部分所需维持BW。不同的Fe特征之间的选择可以创造混淆如何有意义地比较他们的遗产,估计的育种价值(EBV)及其相应的可靠性,以及如何差异将这些EBV与选择索引合并。如果RFI.FS仅是DMI,BW和和的线性函数米尔科与已知的遗传差异和协方差在这3个特征之间,可能没有必要直接计算RFI或FS表型以确定其遗传学,遗传相关,EBV及各自个人动物的可靠性。我们展示估计的总遗传优点是不变的选择指数中FE特征的规范。也就是说,涉及选择指数的经济权重一个特定的Fe特质容易转换为经济选择指数的重量涉及不同的选择指数该FE特征的线性函数。我们使用这些不同规范FE提供洞察效果的洞察力失踪程度(例如,DMI相对的缺乏牛奶收益率记录)关于EBV精度的各种衍生物Fe特征。我们特别强调通常观察到更高的EBV精度DMI,然后为FS,最后用于RFI是部分驱动的通过DMI与BW的遗传相关性和milke和bw的fs。最后,我们倡导衍生FS和RFI的遗传回归方法认识到遗传与残余关系在Fe分量特征之间可能会差异彼此。

著录项

  • 来源
    《Journal of dairy science》 |2020年第6期|5327-5345|共19页
  • 作者

    R. J. Tempelman; Y. Lu;

  • 作者单位

    Department of Animal Science Michigan State University East Lansing 48824;

    Axio Research a Cytel Company Seattle WA 98121;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    feed efficiency; multiple trait analysis; selection index;

    机译:饲料效率;多种特征分析;选择索引;

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