Powell R L, VanRaden P M
Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705-2350, USA.
J Dairy Sci. 2002 Jul;85(7):1863-8. doi: 10.3168/jds.S0022-0302(02)74260-4.
Genetic evaluations on a global scale were calculated for Holstein bulls using the May 2001 International Bull Evaluation Service (Interbull) evaluations expressed on each of 27 national scales. National scale data were weighted by the country's proportion of total daughters from all bulls (population size) to represent market share. Correlations between Interbull evaluations on national scales and evaluations on a global scale ranged from 0.961 to 0.998 (mean of 0.988). Number of top 100 bulls for protein yield that were in common between national and global scales ranged from 54 to 94 and was related significantly to mean genetic correlation between a country and the other 26 countries. Weighting of evaluations on national scales by population size, inverse of population size weight, or equal weight produced practically the same group of top bulls and correlations among the three global scales were 0.999. Thus, the method for combining Interbull evaluations expressed on national scales had only minor impact and was much less important than use of all data. Subglobal scales were established by a clustering technique that gave two to five groups. For grazing countries or other atypical systems, a subglobal scale may provide better guidance, although a scale representing three grazing countries did not provide the expected improvement over a global scale in the relationship with the three country scales. If conditions in non-participating countries are generally represented by participating countries, most needs are met by a global scale.
利用2001年5月国际公牛评估服务组织(Interbull)在27个国家尺度上所表达的评估结果,对全球范围内的荷斯坦公牛进行了遗传评估。国家尺度数据根据该国所有公牛后代总数的比例(种群规模)进行加权,以代表市场份额。国家尺度上的Interbull评估与全球尺度评估之间的相关性在0.961至0.998之间(平均值为0.988)。国家尺度和全球尺度上蛋白质产量排名前100的公牛数量在54至94头之间,且与一个国家和其他26个国家之间的平均遗传相关性显著相关。按种群规模、种群规模权重的倒数或等权重对国家尺度评估进行加权,产生的顶级公牛群体几乎相同,三个全球尺度之间的相关性为0.999。因此,将国家尺度上表达的Interbull评估进行合并的方法影响较小,且远不如使用所有数据重要。通过聚类技术建立了次全球尺度,该技术产生了两到五个组。对于放牧国家或其他非典型系统,次全球尺度可能会提供更好的指导,尽管代表三个放牧国家的尺度在与三个国家尺度的关系中并未比全球尺度带来预期的改善。如果非参与国家的情况通常由参与国家代表,那么全球尺度就能满足大多数需求。