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系谱错误对猪产仔数、背膘厚和平均日增重三种育种值估计方法的影响。

Effects of errors in pedigree on three methods of estimating breeding value for litter size, backfat and average daily gain in swine.

作者信息

Long T E, Johnson R K, Keele J W

机构信息

University of Nebraska, Lincoln 68583-0908.

出版信息

J Anim Sci. 1990 Dec;68(12):4069-78. doi: 10.2527/1990.68124069x.

DOI:10.2527/1990.68124069x
PMID:2286549
Abstract

Estimated breeding value (EBV) was calculated based on either individual phenotype (SP), an index of individual phenotype and full- and half-sib family averages (SI) or Best Linear Unbiased Prediction (BLUP). Calculations were done with correct data or data with 5, 10, 15 or 20% of the records per generation containing pedigree errors. Traits considered were litter size (LS), backfat (BF) and average daily gain (ADG). When data were correct, BLUP resulted in an advantage in expected genetic gain over SP of 22, 7.2 or 30.8% for LS, BF and ADG, respectively, and over SI of 9.6, 3.8 or 21.4%. When sire and dam pedigrees were incorrect for 20% of the pigs each generation, genetic gain using SI was reduced by 7, 2.5 or 6.5% and genetic gain using BLUP was reduced by 9.3, 3.2 or 12.4% for LS, BF and ADG, respectively. With 20% of the pedigrees in error, the advantages in genetic gain of using BLUP over SP, the method unaffected by errors in pedigree, were 10.5, 3.8 and 14.6% for LS, BF and ADG, respectively. These results suggest that, although BLUP is affected to a greater degree by pedigree errors than SP or SI, selection of swine using BLUP still would improve response to selection over the use of SP or SI.

摘要

估计育种值(EBV)是基于个体表型(SP)、个体表型与全同胞和半同胞家系平均值的指数(SI)或最佳线性无偏预测(BLUP)来计算的。计算使用的是正确数据或每代有5%、10%、15%或20%的记录包含系谱错误的数据。所考虑的性状有窝产仔数(LS)、背膘厚(BF)和平均日增重(ADG)。当数据正确时,对于LS、BF和ADG,BLUP在预期遗传进展方面分别比SP有22%、7.2%或30.8%的优势,比SI有9.6%、3.8%或21.4%的优势。当每代20%的猪的父系和母系系谱不正确时,对于LS、BF和ADG,使用SI的遗传进展分别降低了7%、2.5%或6.5%,使用BLUP的遗传进展分别降低了9.3%、3.2%或12.4%。在20%的系谱有误的情况下,对于LS、BF和ADG,使用BLUP相对于不受系谱错误影响的SP方法在遗传进展方面的优势分别为10.5%、3.8%和14.6%。这些结果表明,尽管BLUP比SP或SI受系谱错误的影响程度更大,但使用BLUP选择猪仍会比使用SP或SI提高选择反应。

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