Szyda Joanna, Ptak Ewa, Komisarek Jolanta, Zarnecki Andrzej
Institute of Natural Sciences, Wrocław University of Life Sciences, Wrocław, Poland.
J Appl Genet. 2008;49(2):183-91. doi: 10.1007/BF03195611.
Daughter yield deviations (DYDs) of bulls and yield deviations (YDs) of cows, besides estimated breeding values (EBVs), are standard measures of animals' genetic merits in routine genetic evaluations worldwide. In this contribution, we first point out differences and similarities between DYDs and EBVs calculated for milk, fat and protein yields. While the latter measure represents the additive polygenic value of an animal, the former consists of both the additive polygenic and residual components. Then, a summary of DYDs and YDs calculated for the Polish population of dairy cattle is presented. The estimated correlations between DYDs and EBVs are generally high, but vary considerably depending on the minimum number of daughters used for calculation of DYDs and on the accuracy of calculated DYDs. Using DYDs estimated for each production year for 16 452 bulls, we demonstrate how to use DYDs for the validation of genetic trend estimated in the model used for genetic evaluation. Based on genotypic data of 252 bulls, we show that DYDs can be used for the estimation of candidate gene effects. For each of the yield traits, the within-bull genetic trend was relatively high, ranging between 1.39% of genetic standard deviation per production year for milk and 7.67% of genetic standard deviation per production year for fat, both in the 2nd lactation. Out of 8 polymorphisms tested, 5 showed a significant correlation with DYD, with the highest effect attributed to the polymorphism within the leptin receptor gene, whose additive effect was estimated as 247.33 kg of milk at 2nd parity.
除了估计育种值(EBV)之外,公牛的女儿产量偏差(DYD)和母牛的产量偏差(YD)是全球常规遗传评估中衡量动物遗传价值的标准指标。在本论文中,我们首先指出了针对牛奶、脂肪和蛋白质产量计算的DYD和EBV之间的异同。后者衡量的是动物的加性多基因值,而前者则由加性多基因和残差成分组成。然后,本文总结了针对波兰奶牛群体计算的DYD和YD。DYD与EBV之间的估计相关性通常较高,但会因用于计算DYD的女儿的最小数量以及计算出的DYD的准确性而有很大差异。利用为16452头公牛的每个生产年份估计的DYD,我们展示了如何使用DYD来验证遗传评估模型中估计的遗传趋势。基于252头公牛的基因型数据,我们表明DYD可用于估计候选基因效应。对于每个产量性状,公牛内的遗传趋势相对较高,在第二个泌乳期,牛奶产量的遗传趋势为每个生产年份遗传标准差的1.39%,脂肪产量的遗传趋势为每个生产年份遗传标准差的7.67%。在测试的8个多态性中,有5个与DYD显示出显著相关性,其中瘦素受体基因内多态性的效应最大,其加性效应在第二胎时估计为247.33千克牛奶。