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Short communication: Effect of preadjusting test-day yields for stage of pregnancy on variance component estimation in Canadian Ayrshires

机译:简短交流:预先调整妊娠阶段的测试日收率对加拿大艾尔郡的方差成分估计的影响

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摘要

Preadjustment of phenotypic records is an alternative to accounting for the effect of pregnancy within the genetic evaluation model. Variance components used in the Canadian Test-Day Model may need to be re-estimated after preadjusting for pregnancy. The objective of this study was to assess the effect of preadjusting test-day yields on variance components and estimated breeding values using a random regression test-day model in a random sample of Ayrshire cows. A random sample of 981 Canadian Ayrshire cows from 18 complete herds (average of 54.5 cows/herd) was analyzed. Two data sets were created using the same animals, one with unadjusted milk, fat, and protein yields, and one data set with test-day records adjusted for pregnancy effects. Pregnancy effect estimates from a previous study were used for additive preadjustment of records. Variance components were estimated using both data sets. Results were very similar between the 2 data sets for all estimated genetic parameters (herita-bilities, genetic, and permanent environmental correlations). The relative squared differences were very small: 0.05% for heritabilities, 0.20% for genetic correlations, and 0.18% for permanent environmental correlations. Furthermore, paired Student's i-tests showed that the differences between the genetic parameters of data sets adjusted and unadjusted for pregnancy effect were not significantly different from 0. Results from this study show that preadjusting data for pregnancy did not yield changes in covariance component estimates, thus suggesting that preadjusting test-day records could be a feasible solution to account for pregnancy in the Canadian Test-Day Model without changing the current model. Estimated breeding values (EBV) were calculated for both data sets to observe the impact of preadjusting for pregnancy. Overall, the largest changes in EBV seen when preadjusting for pregnancy (compared with unadjusted records) occurred for nonpregnant eliterncows, whose EBV declined. Preadjusting for pregnancy before genetic evaluations improves the estimation of breeding values by adding the negative impact of pregnancy back onto pregnant cow test-day records, causing an increase in their production EBV.
机译:表型记录的预先调整是在遗传评估模型中考虑妊娠影响的一种替代方法。在预先调整怀孕后,可能需要重新评估“加拿大测试日”模型中使用的方差成分。这项研究的目的是使用随机回归测试日模型在Ayrshire奶牛的随机样本中评估预调整测试日产量对方差成分和估计育种值的影响。分析了来自18个完整牛群(平均54.5牛/牛)的981头加拿大艾尔郡牛的随机样本。使用相同的动物创建了两个数据集,一个具有未调整的牛奶,脂肪和蛋白质产量,一个数据集的测试日记录针对怀孕影响进行了调整。先前研究的妊娠效果估计值用于记录的附加预调整。使用两个数据集估计方差成分。对于所有估计的遗传参数(遗传能力,遗传和永久环境相关性),两个数据集的结果非常相似。相对平方差异非常小:遗传力为0.05%,遗传相关性为0.20%,永久性环境相关性为0.18%。此外,成对的Student i检验显示,针对妊娠效果进行调整和未经调整的数据集的遗传参数之间的差异与0并无显着差异。这项研究的结果表明,针对妊娠进行的预调整数据不会产生协方差分量估计值的变化,因此,建议在不更改当前模型的情况下,预先调整测试日记录是解决加拿大测试日模型中妊娠问题的可行解决方案。为这两个数据集计算了估计的育种值(EBV),以观察怀孕前调整的影响。总体而言,未怀孕的文盲(EBV下降)发生在对怀孕进行预调整时(与未调整的记录相比)出现的最大EBV变化。在遗传评估之前对怀孕进行前期调整,通过将怀孕的负面影响加回到怀孕母牛的测试日记录上,从而提高了育种值的估计,从而导致其生产EBV的增加。

著录项

  • 来源
    《Journal of dairy science》 |2009年第5期|2270-2275|共6页
  • 作者单位

    Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario, Canada, N1G 2W1;

    Dairy and Swine Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, Quebec, Canada, J1M 1Z3 Canadian Dairy Network, Guelph, Ontario, Canada, N1K 1E5;

    Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario, Canada, N1G 2W1;

    Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario, Canada, N1G 2W1;

    Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario, Canada, N1G 2W1;

    Canadian Dairy Network, Guelph, Ontario, Canada, N1K 1E5;

  • 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

    test-day model; pregnancy status; stage of pregnancy; preadjustment;

    机译:测试日模型;怀孕状态;怀孕阶段;预先调整;
  • 入库时间 2022-08-17 23:25:06

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