原产地父母对伊朗荷斯坦奶牛群体产奶特性的遗传影响。

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Farhad Ghafouri-Kesbi, Milad Noorian, Sajad Gholizadeh, Morteza Mokhtari
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引用次数: 0

摘要

目的是估算父系和母系印记效应对伊朗荷斯坦奶牛产奶性状表型变异的相对贡献,这些性状包括 305 天产奶量 (MY)、平均日产奶量 (ADM)、脂肪百分比 (F%)、蛋白质百分比 (P%)、305 天脂肪产量 (FY)、305 天蛋白质产量 (PY)、脂肪百分比与蛋白质百分比之比 (F:P) 和体细胞评分 (SCS)。为此,对每个性状都使用了一系列四种动物模型进行分析,这些动物模型的固定遗传效应和加性遗传效应相同,但父系和母系印记效应组合不同。使用对数似然比检验(LRT)和阿凯克信息标准(AIC)为每个性状选择最佳模型。通过双变量分析估计了加性效应和印记效应导致的性状之间的相关性。对于所研究的所有性状,拟合印记效应能更好地拟合数据。此外,它还使加性遗传变异从 8%(SCS)明显降低到 28%(F:P)。在所研究的所有性状上都发现了明显的母系印记效应。MY, ADM, F%, P%, FY, PY, F:P 和 SCS 的母系遗传率(h mi 2 $$ {h}_{\mathrm{mi}}^2 $$ )估计值分别为 0.07 ± 0.02, 0.04 ± 0.01, 0.06 ± 0.01, 0.05 ± 0.01, 0.5 ± 0.01, 0.09 ± 0.02, 0.07 ± 0.02 和 0.06 ± 0.01。就F:P而言,除了母系印记效应外,还发现了显著的父系印记成分,对F:P表型变异的贡献率为7%。MY、ADM、F%、P%、FY、PY、F:P和SCS的直接遗传率(h a 2 $$ {h}_{\mathrm{a}}^2 $$)估计值分别为0.29 ± 0.02、0.17 ± 0.01、0.22 ± 0.02、0.11 ± 0.01、0.18 ± 0.02、0.22 ± 0.02、0.15 ± 0.04和0.06 ± 0.01。母本印记相关性(rmi)在-0.75 ± 0.15(P%-SCS)和 0.95 ± 0.11(MY-ADM)之间。加性遗传相关系数(ra)介于-0.54 ± 0.05(MY-P%)和 0.99 ± 0.01(MY-ADM)之间,表型相关系数(rp)介于-0.30 ± 0.01(MY-F%)和 0.93 ± 0.01(MY-ADM)之间。包括印记效应和不包括印记效应的加和育种值之间的斯皮尔曼相关性偏离了统一值,特别是对于排名靠前的动物,这意味着在模型中加入印记效应后,排名靠前的动物被重新排序。由于在模型中加入印记效应能更好地拟合数据,并对排名靠前的动物进行重新排序,因此建议在产奶性状的遗传评估模型中加入这些效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parent of origin genetic effects on milk production traits in a population of Iranian Holstein cows.

The aim was to estimate the relative contribution of imprinting effects from both paternal and maternal sides to phenotypic variation in milk production traits including 305 days milk yield (MY), average daily milk production (ADM), fat percentage (F%), protein percentage (P%), 305 days fat yield (FY), 305 days protein yield (PY), ratio of fat percentage to protein percentage (F:P) and somatic cell score (SCS) in Iranian Holstein cows. To do this, each trait was analysed with a series of four animal models, which were identical for fixed and additive genetic effects but differed for combinations of paternal and maternal imprinting effects. The log-likelihood ratio test (LRT) and Akaike's information criteria (AIC) were used to select the best model for each trait. Correlations between traits due to additive and imprinting effects were estimated by bivariate analyses. For all traits studied, fitting the imprinting effect led to a better data fit. Also, it resulted in a noticeable decrease in additive genetic variance from 8% (SCS) to 28% (F:P). A significant maternal imprinting effect was detected on all traits studied. Estimates of maternal imprinting heritability ( h mi 2 $$ {h}_{\mathrm{mi}}^2 $$ ) were 0.07 ± 0.02, 0.04 ± 0.01, 0.06 ± 0.01, 0.05 ± 0.01, 0.5 ± 0.01, 0.09 ± 0.02, 0.07 ± 0.02 and 0.06 ± 0.01 for MY, ADM, F%, P%, FY, PY, F:P and SCS, respectively. For F:P, in addition to the maternal imprinting effect, a significant paternal imprinting component was also detected with a 7% contribution to phenotypic variance of F:P. Estimates of direct heritability ( h a 2 $$ {h}_{\mathrm{a}}^2 $$ ) were 0.29 ± 0.02, 0.17 ± 0.01, 0.22 ± 0.02, 0.11 ± 0.01, 0.18 ± 0.02, 0.22 ± 0.02, 0.15 ± 0.04 and 0.06 ± 0.01 for MY, ADM, F%, P%, FY, PY, F:P and SCS, respectively. Maternal imprinting correlations (rmi) were in a wide range between -0.75 ± 0.15 (P%-SCS) and 0.95 ± 0.11 (MY-ADM). Additive genetic correlations (ra) ranged between -0.54 ± 0.05 (MY-P%) and 0.99 ± 0.01 (MY-ADM) and phenotypic correlations (rp) ranged from -0.30 ± 0.01 (MY-F%) to 0.93 ± 0.01 (MY-ADM). The Spearman's correlation between additive breeding values including and excluding imprinting effects deviated from unity especially for top-ranked animals implying re-ranking of top animals following the inclusion of imprinting effects in the model. Since including imprinting effects in the model resulted in better data fit and re-ranking of top animals, including these effects in the genetic evaluation models for milk production traits was recommended.

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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
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