Genetic parameters for scrotal circumference and 18 months weight of Uruguayan Aberdeen Angus estimated by Bayesian approaches.
Genetic parameters for scrotal circumference and 18 months weight of Uruguayan Aberdeen Angus estimated by Bayesian approaches.
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通过贝叶斯方法估计乌拉圭阿伯丁安格斯的阴囊周长和 18 个月体重的遗传参数。
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发表时间：
2002
期刊：
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通讯作者：
H. N. Oliveira
中科院分区：
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作者：
J. Urioste;A. Espasandín;G. Rosa;H. N. Oliveira
介绍乌拉圭阿伯丁·安格斯品种过去的趋势倾向于体型更大(Urioste等人，1994年)。这导致了几乎只根据给定年龄的体重进行选择。增加阴囊周长公牛的选择应成为肉牛遗传改良的重要内容。它很容易测量，是一种中等到高度可遗传的性状，并显示出与生殖雄性和雌性性状以及生长性状的良好遗传关联(见Koots等人的广泛评论，1994a，b)。最近在乌拉圭条件下进行的研究(Urioste等人，1998年)表明，将阴囊周长作为选择标准纳入指数会导致以经济单位衡量的遗传收益增加。因此，将其纳入肉牛记录系统是可取的，以便在国家阿伯丁安格斯遗传评估中获得预期后代差异(EPD)的预测。近年来，贝叶斯和马尔可夫链蒙特卡罗(MCMC)方法被广泛应用于动物育种中的遗传参数估计。该方法允许将先验信息结合到分析中，该分析与来自当前数据的信息相结合，以产生模型中参数的后验分布。利用MCMC方法对后验分布进行积分，研究边缘分布的特征。可以根据早期的研究或文献中的信息来选择前科。这种方法特别适用于正在建设中的记录方案，因为发展中国家通常是这种情况。另一种选择是使用非信息性先验，在后验推断中影响很小。在这里，我们讨论了信息性和非信息性贝叶斯分析对乌拉圭Aberdeen Angus品种阴囊周长和18月龄体重的遗传参数估计的有用性。
INTRODUCTION Past trends in the Uruguayan Aberdeen Angus breed have favored greater body size (Urioste et al., 1994). This has resulted in selection almost exclusively for liveweight at a given age. Selection of bulls for increased scrotal circumference should receive an important emphasis in genetic improvement of beef cattle. It is easily measured, is a moderate to highly heritable trait and has shown favorable genetic associations with reproductive male and female traits and growth traits (see the extensive reviews by Koots et al., 1994 a, b). Recent research under Uruguayan conditions (Urioste et al., 1998) has shown that the inclusion of scrotal circumference as selection criterion in an index leads to increases in genetic gains measured in economic units. It is therefore desirable its incorporation to beef cattle recording systems, to obtain predictions of Expected Progeny Differences (EPD) in the National Aberdeen Angus Genetic Evaluation. The Bayesian and Markov Chain Monte Carlo (MCMC) methodologies have been widely used for genetic parameter estimation in animal breeding in the last years. The approach allows the incorporation of prior information into the analysis, which is combined with the information from the current data to produce the posterior distribution of the parameters in the model. MCMC methods are used for integrating the posterior distribution to study features of the marginal distributions. The priors can be chosen based on earlier studies or information from the literature. This approach is particularly suitable for recording schemes under construction, as it is usually the case in developing countries. Other alternative is to use non-informative priors, with small influence in the posterior inferences. Here, we discuss the usefulness of informative versus non-informative Bayesian analysis for genetic parameter estimation of scrotal circumference and 18 months weight of the Aberdeen Angus breed in Uruguay.