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首页> 外文期刊>Chilean Journal of Agricultural Research >Combined selection and multivariate analysis in early generations of intraspecific progenies of peanuts
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Combined selection and multivariate analysis in early generations of intraspecific progenies of peanuts

机译:综合选择与多元分析在早期的花生内部内部内部

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Selection indexes are useful tools for the simultaneous selection of several descriptors aiming to promote genetic gains and a reliable advancement of segregating populations. This study tested the use of selection index of distance from the genotype to the ideotype to assist in the search for superior progenies, based on agronomic variables obtained from early generation progeny of intraspecific progenies of peanuts ( Arachis hypogaea L.) Four segregating populations were used, each consisting of 90 progenies, arranged in a randomized block design with three replicates, in which the best 30 progenies of each population were selected. The index of distance to the ideotype, used for the selection, was built from a non-real model cultivar that meets the requirements for traits main stem height (SH), early flowering (EF), number of pegs (NP), number of pods per plant (NPP), weight of 100 pods (WP100), number of seeds per plant, and weight 100 seed (WS100). It was observed that the selection index used was effective for differentiating progenies and promoting gains at a selection pressure of 33.33%. Gains were variable for the same traits in the different populations. The number of pods per plant, for example, ranged from 3.96% in the population 3 to 16.98% in the population 4. The analysis of diversity showed that progenies selected grouped differently, by principal coordinates analysis, which corroborates the ability of the index to form groups according to traits of interest. The groups formed revealed moderate variability by the diversity analysis by the Ward/MLM method.
机译:选择索引是用于同时选择旨在促进遗传收益的多个描述符的有用工具,以及可靠地推进分离群体。本研究测试了使用从基因型到意识别的距离的选择指数,以协助寻找优越的后代,基于从从早期生成的花生的内部种植体(Arachis Hypogaea L.)使用四个分离种群的农学变量,每个由90个后代组成,以三种重复在随机块设计中排列,其中选择了每种群体的最佳30个后代。用于选择的距离指数,用于选择,是由非真正的模型品种构建,符合特征的要求主茎高度(SH),早期开花(EF),PEG(NP)数量,数量每株植物(NPP),100个豆荚(WP100)的重量,每株种子数,以及重量100种子(WS100)。观察到所用的选择指数对于区分后期和促进33.33%的选择压力有效。在不同群体中相同的性状变化是可变的。例如,每株植物的数量在人口中的3.96%范围为3至16.98%。多样性分析表明,通过主坐标分析来分析不同的分类,这使得指数的能力进行了不同的分析根据感兴趣的特征形成组。通过病房/ MLM方法的分集分析形成了揭示了中等变异的。

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