首页> 外国专利> Statistical approach for optimal use of genetic information collected on historical pedigrees, genotyped with dense marker maps, into routine pedigree analysis of active maize breeding populations

Statistical approach for optimal use of genetic information collected on historical pedigrees, genotyped with dense marker maps, into routine pedigree analysis of active maize breeding populations

机译:统计方法可优化利用历史谱系中收集的遗传信息,并利用密集的标记图进行基因分型,将其用于常规玉米育种种群的常规谱系分析

摘要

This invention provides a novel means of predicting plant phenotypes that incorporates previously unusable dense marker data derived from historical pedigrees. The method operates by collecting information from a population pertaining to one or more loci, which is used to build one or more matrices by calculating, for the alleles present at the measured loci, the probability that the alleles are identical by descent. These matrices are then used to develop a second set of one or more matrices in which each value represents the probability that a certain individual in the population descended from a certain ancestral (founder) genotype. This set of second matrices can then be used as part of a breeding program for selecting and breeding individuals from the population or can be used to better classify the individuals in the population, leading to improved plant phenotypes.
机译:本发明提供了一种预测植物表型的新颖方法,该方法结合了从历史谱系获得的先前无法使用的密集标记数据。该方法通过从与一个或多个基因座有关的种群中收集信息来进行操作,该信息用于通过为存在于测得基因座的等位基因计算等位基因因下降而相同的概率来构建一个或多个矩阵。这些矩阵然后用于开发第二组一个或多个矩阵,其中每个值代表人口中某个特定个体从某个祖先(奠基者)基因型降级的概率。然后,该第二矩阵集可以用作用于从种群中选择和繁殖个体的育种程序的一部分,或者可以用于更好地对种群中的个体进行分类,从而改善植物的表型。

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