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Prediction of genotypic values and estimation of genetic parameters in common bean

机译:普通豆的基因型值预测和遗传参数估计

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Eighteen common bean (Phaseolus vulgaris L.) genotypes were evaluated in 25 environments of the state of Sao Paulo in 2001 and 2002. The estimation of genetic parameters by the Restricted Maximum Likelihood (REML) and the prediction of genotypic values via Best Linear Unbiased Prediction (BLUP) were obtained by software Selegen-REML/BLUP. The estimate of the broad-sense heritability was low for the grain yield (0.03), since it took individual plots into consideration and was free of the effects of interaction with years, cultivation periods and site. Nevertheless, the heritability at the level of line means across the various environments was high (0.75), allowing a high accuracy (0.87) in the selection of lines for planting in the environment mean. Among the 18 genotypes, the predicted genotypic values of nine were higher than the general mean. The genetic gain predicted with the selection of the best line, in this case line Gen 96A31 of the IAC, was 16.25%.
机译:2001年和2002年在圣保罗州的25个环境中评估了18种普通菜豆(Phaseolus vulgaris L.)的基因型。通过限制性最大似然法(REML)估算遗传参数,并通过最佳线性无偏预测来预测基因型值。 (BLUP)通过软件Selegen-REML / BLUP获得。广义上的遗传力估计值对于谷物产量来说很低(0.03),因为它考虑了单个地块,并且不受与年份,耕种时期和地点的相互作用的影响。但是,在各种环境中,线均水平的遗传力很高(0.75),因此在选择种植在环境均值中的线时可以达到很高的准确度(0.87)。在18个基因型中,9个的基因型预测值高于一般平均值。选择最佳品系(在本例中为IAC的Gen 96A31品系)预测的遗传增益为16.25%。

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