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Methods of Constructing Primary Core Collections Based on the Genotypic Values of Malus Sieversii (Ledeb) Roem

机译:基于海棠的基因型值构建主要核心种质的方法

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A inlegrative strategy is developed for the establishment of a primary core collection based on predicted genotypic values. A Malus sieversii germplasm collection of 300 accessions with 10 quantitative traits was used to construct core collections. Genotypic values of all quantitative traits of the Malus sieversii collection were unbiasedly predicted based on the mixed linear model approach. The inlegrative strategy is based on stepwise clustering analysis of the predicted genotypic values, selection of accessions from the resulting clusters according to a combination of four hierarchical clustering methods (unweighted pairgroup average method, the single linkage method, the complete linkage method, and Ward's method) and three sampling strategies (random sampling, preferred sampling and deviation sampling), optimisation of the sampling proportion, and validation by means of principal component analysis. A core collection with 60 accessions (at 20% sampling proportion) constructed by the unweighted pair-group average method in combination with the deviation sampling strategy retains the greatest degree of genetic diversities of the initial collection.
机译:开发了一种策略性策略,用于根据预测的基因型值建立主要的核心菌种。用300个具有10个定量性状的种的海棠属种质资源构建核心种质。基于混合线性模型方法,无偏见地预测了海棠(Malus sieversii)集合的所有数量性状的基因型值。优先策略是基于对预测基因型值的逐步聚类分析,根据四种分层聚类方法(非加权对组平均法,单连锁方法,完全连锁方法和沃德方法)的组合从所得聚类中选择种质的基础)和三种采样策略(随机采样,首选采样和偏差采样),优化采样比例以及通过主成分分析进行验证。通过不加权成对组平均法结合偏差采样策略构建的具有60个种质(以20%的采样比例)的核心收藏品保留了初始收藏品最大程度的遗传多样性。

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