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Genetic analysis of survival potential of Boer x Central Highland goats under semi-intensive management
Small Ruminant Research ( IF 1.6 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.smallrumres.2020.106253
Zeleke Tesema , Kefyalew Alemayehu , Damitie Kebede , Tesfaye Getachew , Belay Deribe , Mengistie Taye , Mekonnen Tilahun , Alemu Kefale , Asres Zegeye , Negus Belayneh , Liuel Yizengaw

Abstract Kid survival is very critical to be profitable in goat production. Thus, this study was conducted to identify genetic and non-genetic factors affecting the survival rate of Boer x Central Highland goat and to estimate genetic parameters for survival using linear animal and Weibull proportional hazard model. Data collected from the Sirinka goat breeding station were utilized for this study. Survival analysis was conducted with a Weibull proportional hazard model using Survival Kit version 6.1 software. The genetic parameters for survival traits were estimated using both Survival Kit fitted sire model and ASREML software fitted animal model with logit function. Four models for survival traits were fitted in order to optimize the model for each trait in the animal model. The log-likelihood ratio test was used for selecting the best-fitted model. The proportion of right-censored kids up to 3, 6 and 12 months of age was 77.8, 66.2 and 57.9%, respectively. From the total death, about 73.1 % of death occurred up to 140 days of age. Gastrointestinal parasites, septicemia, pneumonia are the leading causes of death. Birth type, birth weight, dam breed and year of birth are the most important risk factors for kid mortality. Based on selected linear animal models, total heritability (h2t) estimates for the survival of kids at 3, 6 and 12 months of age were 0.006, 0.096 and 0.098, respectively. The maternal permanent environmental effect explains 6% of the phenotypic variation in survival up to weaning age. However, the impact of the maternal effect on post-weaning survival was found to be negligible. The genetic correlation between birth weight and survival to yearling age was 0.55 ± 0.15. The heritability estimates for survival at 3, 6 and 12 months of age from the Weibull proportional hazard model were 0.10, 0.13 and 0.18, respectively. As both pre- and post-weaning survival traits are economically important traits, including in the selection index of the breeding program would be paramount. Besides selection, using a local goat as a dam line and improving management in the flock would be an option to improve the survival of kids.

中文翻译:

半精养条件下波尔×中部高地山羊生存潜力的遗传分析

摘要 山羊的生存对于山羊生产的盈利至关重要。因此,本研究旨在确定影响波尔 x 中央高地山羊存活率的遗传和非遗传因素,并使用线性动物和威布尔比例风险模型估计存活的遗传参数。从 Sirinka 山羊育种站收集的数据用于本研究。生存分析是使用 Survival Kit 6.1 版软件通过 Weibull 比例风险模型进行的。生存性状的遗传参数使用 Survival Kit 拟合的公畜模型和 ASREML 软件拟合的具有 logit 函数的动物模型进行估计。拟合了四个生存性状模型,以优化动物模型中每个性状的模型。对数似然比检验用于选择最佳拟合模型。3、6 和 12 个月以下的右删失儿童比例分别为 77.8%、66.2% 和 57.9%。从总死亡人数来看,大约 73.1% 的死亡发生在 140 日龄之前。胃肠道寄生虫、败血症、肺炎是导致死亡的主要原因。出生类型、出生体重、母畜品种和出生年份是儿童死亡率的最重要危险因素。根据选定的线性动物模型,3、6 和 12 个月大的儿童存活率的总遗传力 (h2t) 估计值分别为 0.006、0.096 和 0.098。母体永久性环境效应解释了 6% 到断奶年龄的存活表型变异。然而,发现母体效应对断奶后存活率的影响可以忽略不计。出生体重和存活至岁龄之间的遗传相关性为 0.55 ± 0.15。Weibull 比例风险模型对 3、6 和 12 个月大时存活率的遗传力估计值分别为 0.10、0.13 和 0.18。由于断奶前和断奶后的存活性状都是经济上重要的性状,包括在育种计划的选择指数中将是最重要的。除了选择之外,使用当地山羊作为母线并改善羊群管理将是提高孩子生存率的一种选择。包括在育种计划的选择指数中将是最重要的。除了选择之外,使用当地山羊作为母线并改善羊群管理将是提高孩子生存率的一个选择。包括在育种计划的选择指数中将是最重要的。除了选择之外,使用当地山羊作为母线并改善羊群管理将是提高孩子生存率的一种选择。
更新日期:2020-12-01
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