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Estimates of genetic variability, heritability and genetic advance for agronomic and yield traits in soybean (Glycine max L.)

机译:大豆农艺性状和产量性状的遗传变异性,遗传力和遗传进展的估计

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A study with 20 soybean genotypes was conducted in 2015 and 2016 to determine the genetic variability, heritability and genetic advance for some agronomic and yield traits in some soybean genotypes for selection criteria in a breeding programme. The field experiments were laid out in a randomized complete block design (RCBD) and replicated three times. Analysis of variance (ANOVA) revealed significant variation among the genotypes indicating that the planting materials were genetically divergent from each other. The estimates of genetic variability showed that phenotypic coefficient of variation (PCV) were higher than the genotypic coefficient of variation (GCV) for all the traits. Portraying the importance of environmental factors in the variations shown. High value of PCV and GCV were observed for traits such as plant height, number of leaves, number of pods and seed yield indicating the presence of sufficient genetic variation for selection in these traits. High heritability coupled with high genetic advance observed for plant height and number of pods suggests that selection could be effective for these traits.
机译:2015年和2016年进行了一项针对20种大豆基因型的研究,以确定育种计划中选择标准的某些大豆基因型的某些农艺和产量性状的遗传变异性,遗传力和遗传进展。现场实验采用随机完整模块设计(RCBD)进行,并重复3次。方差分析(ANOVA)显示基因型之间存在显着差异,表明种植材料在遗传上彼此不同。遗传变异性的估计表明,所有性状的表型变异系数(PCV)高于基因型变异系数(GCV)。在所示变化中描绘环境因素的重要性。观察到PCV和GCV具有很高的价值,例如株高,叶片数,豆荚数和种子产量等,表明存在足够的遗传变异可供选择。高的遗传力以及在植物高度和豆荚数量上观察到的高遗传优势表明选择对于这些性状可能是有效的。

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