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Identification of Factors That Cause Genotype by Environment Interaction Between Herds of Holstein Cattle in Seventeen Countries

机译:通过十七个国家的荷斯坦牛群之间的环境相互作用确定导致基因型的因素

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Currently, the International Bull Evaluation Service calculates international dairy sire evaluations using the multiple-trait across country evaluation procedure. This method depends implicitly on political boundaries between countries, because the input data are national evaluations from each participating country. Therefore, different countries are treated as different production environments. The goal of this study was to identify factors that describe the production system on each farm. Such factors could be used to group herds across countries for borderless genetic evaluations. First lactation milk records of Holstein cows calving between January 1, 1990 and December 31, 1997 in Australia, Austria, Belgium, Canada, Czech Republic, Estonia, Finland, Germany, Hungary, Ireland, Israel, Italy, The Netherlands, New Zealand, South Africa, Switzerland, and the USA were used in this study. Thirteen genetic, management, and climatic variables were considered as potential indicators of production environments: peak milk yield, persistency, herd size, age at first calving, season-ality of calving, standard deviation of milk yield, culling rate, days to peak yield, fat to protein ratio, sire PTA milk, percentage of North American Holstein genes, maximum monthly temperature, and annual rainfall. Herds were grouped into quintiles based on herd averages for each of these variables. Genetic correlations for lactation milk yield between quintiles were significantly less than one for maximum monthly temperature, sire PTA milk, percent North American Holstein genes, herd size, and peak milk yield. The variables can be used to group herds into similar production environments, regardless of country borders, for the purpose of accounting for genotype by environment interaction in international dairy sire evaluation.
机译:当前,国际公牛评估服务公司使用跨国家评估的多重特征来计算国际奶牛评估。这种方法隐含地取决于国家之间的政治界限,因为输入数据是来自每个参与国的国家评估。因此,不同的国家被视为不同的生产环境。这项研究的目的是确定描述每个农场生产系统的因素。这些因素可用于对整个国家的畜群进行无边界遗传评估。 1990年1月1日至1997年12月31日期间在澳大利亚,奥地利,比利时,加拿大,捷克共和国,爱沙尼亚,芬兰,德国,匈牙利,爱尔兰,以色列,意大利,荷兰,新西兰,这项研究使用了南非,瑞士和美国。十三种遗传,管理和气候变量被认为是生产环境的潜在指标:高峰产奶量,持久性,牛群大小,初产犊的年龄,产犊的季节程度,产奶标准偏差,出栏率,到最高产量的天数,脂肪与蛋白质的比率,PTA母乳,北美荷斯坦奶牛基因的百分比,最高每月温度和年降雨量。根据这些变量中每个变量的平均值,将牛群分为五等份。五分位数之间的泌乳奶产量的遗传相关性显着低于最高每月温度,父PTA奶,北美荷斯坦奶牛基因百分比,牛群大小和奶产量峰值的相关性。这些变量可用于将畜群分为相似的生产环境,而不受国界的限制,目的是通过国际奶牛评估中的环境相互作用来解释基因型。

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