母系遗传对埃及弗里西亚奶牛产奶量选择指标预期遗传响应的影响

I. A. El-Naser, A. F. Abd-Elatief, A. Ghazy
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摘要

本研究旨在通过不同的动物模型,估计首次泌乳量(FLMY)、首次泌乳期(FLP)、首次干期(FDP)和首次产犊间隔(FCI)的遗传参数,并将所研究的性状纳入选择指标。本研究使用的数据来自埃及开罗Dokki动物生产研究所(APRI) Sakha和EI-Karada实验站1821头正常的首次泌乳奶牛。收集1990年至2016年期间的数据,并使用MTDFREML程序进行分析。采用协方差分量构建4种多重动物模型的FLMY kg、FLP day、FDP day和FCI day的不同选择指标。FLMY、FLP、FDP和FCI的平均值分别为2425 kg、304 d、170 d和474 d。上述性状的直接遗传力(h 2a)分别为0.32、0.29、0.27和0.18。相同性状的母系遗传力(h 2m)估计值分别为0.25、0.22、0.30和0.27。研究性状之间的直接遗传相关性估计在-0.52到0.61之间。各性状间的表型相关在-0.20 ~ 0.23之间。包括附加效应和永久效应的动物模型2具有最高的准确性。相反,模型3包含了加性和母性效应。4种动物模型的排序相关性均大于0.93。这表明使用所研究的模型之一可以实现遗传改良。然而,我们建议在埃及条件下选择弗里西亚奶牛的这些性状时,包括对分析模型的永久环境影响。
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Maternal Genetic Effect on Expected Genetic Response of Selection Indices for Milk Production of Friesian Cows in Egypt
The present study aimed to estimate the genetic parameters of first lactation milk yield (FLMY), first lactation period (FLP), first dry period (FDP) and first calving interval (FCI) and inclusion these studied traits in selection indices through different animal models. The data utilized in this study were obtained from 1821 normal first lactation of Friesian cows belong to Sakha and EI-Karada Experimental stations of Animal Production Research Institute (APRI), Dokki, Cairo, Egypt. Data were collected during the period from 1990 to 2016 and analyzed using the MTDFREML program. Covariance components were used to construct the different selection indices for FLMY kg, FLP day, FDP day and FCI day with four multiple animal models. Means for FLMY, FLP, FDP and FCI were 2425 kg, 304 d, 170 d and 474 d, respectively. Direct heritability (h 2a ) for the above-mentioned traits were 0.32, 0.29, 0.27 and 0.18, respectively. The corresponding estimates of the maternal heritability (h 2m ) for the same traits were 0.25, 0.22, 0.30 and 0.27, successively. Estimates of direct genetic correlations among studied traits ranged from -0.52 to 0.61. The phenotypic correlations among investigated traits were ranging from -0.20 to 0.23. Animal model number two that included the additive and permanent effects had the highest accuracy. On the contrary, model number three that included additive and maternal effects. The ranking correlations among four animal models were higher than 0.93. This indicates that using one of the studied models can be achieved the genetic improvement. We would however recommend that included the permanent environmental effects on analytical models when selection for these traits in Friesian cows under Egyptian condition.
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