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奶牛产奶量、繁殖力和终生生产性能性状的加性和非加性遗传方差。

Additive and nonadditive genetic variances for milk yield, fertility, and lifetime performance traits of dairy cattle.

作者信息

Fuerst C, Sölkner J

机构信息

Institut für Nutztierwissenschaften, Universität für Bodenkultur, Vienna, Austria.

出版信息

J Dairy Sci. 1994 Apr;77(4):1114-25. doi: 10.3168/jds.S0022-0302(94)77047-8.

Abstract

Additive and nonadditive genetic variances were estimated for yield traits and fertility for three subsequent lactations and for lifetime performance traits of purebred and crossbred dairy cattle populations. Traits were milk yield, energy-corrected milk yield, fat percentage, protein percentage, calving interval, length of productive life, and lifetime FCM of purebred Simmental, Simmental including crossbreds, and Braunvieh crossed with Brown Swiss. Data files ranged from 66,740 to 375,093 records. An approach based on pedigree information for sire and maternal grandsire was used and included additive, dominance, and additive by additive genetic effects. Variances were estimated using the tildehat approximation to REML. Heritability estimated without nonadditive effects in the model was overestimated, particularly in presence of additive by additive variance. Dominance variance was important for most traits; for the lifetime performance traits, dominance was clearly higher than additive variance. Additive by additive variance was very high for milk yield and energy-corrected milk yield, especially for data including crossbreds. Effect of inbreeding was low in most cases. Inclusion of nonadditive effects in genetic evaluation models might improve estimation of additive effects and may require consideration for dairy cattle breeding programs.

摘要

对纯种和杂交奶牛群体三个连续泌乳期的产量性状和繁殖力以及终身生产性能性状的加性遗传方差和非加性遗传方差进行了估计。性状包括产奶量、能量校正产奶量、乳脂率、乳蛋白率、产犊间隔、生产寿命长度以及纯种西门塔尔牛、含杂交后代的西门塔尔牛和与瑞士褐牛杂交的德国黄牛的终身乳脂校正乳产量。数据文件包含66,740至375,093条记录。采用了一种基于父系和母系祖父系系谱信息的方法,包括加性、显性以及加性×加性遗传效应。使用对REML的波浪帽近似法估计方差。在模型中不考虑非加性效应时估计的遗传力被高估,尤其是在存在加性×加性方差的情况下。显性方差对大多数性状都很重要;对于终身生产性能性状,显性方差明显高于加性方差。产奶量和能量校正产奶量的加性×加性方差非常高,尤其是对于包含杂交后代的数据。在大多数情况下,近亲繁殖的影响较低。在遗传评估模型中纳入非加性效应可能会改善加性效应的估计,并且可能需要在奶牛育种计划中加以考虑。

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