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首页> 外文期刊>Archives of Agronomy and Soil Science >Genotype x environment interaction effects on pod yield and pod number in West African Okra
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Genotype x environment interaction effects on pod yield and pod number in West African Okra

机译:基因型X环境交互对西非秋葵荚产量和荚数的互动影响

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摘要

As year-to-year weather fluctuation increases, the need for better understanding of their effects on crops becomes ever more pressing. Genotype x environment (GxE) interactions for pod yield and pod number were assessed in a set of 25 West African okra genotypes that were cultivated in four successive years (otherwise called environments) through field trials, arranged in a randomized complete block design, with three replicates. Significant GxE interactions in measured traits were detected, suggesting that selection for stable genotypes, with respect to these traits must be environmental specific. Consequently, additive main effects and multiplicative interaction model was applied to dissect GxE interactions. For pod yield, the highest percentage (38.4%) of the treatment sum of square was attributable to genotypes followed by GxE interactions (36.0%) and environment (25.6%), indicating predominance of genotypic variation for this trait. Conversely, prevalence of GxE interactions was observed for pod number. The biplots of the grand mean and IPCA 1 score revealed that the environments tended to discriminate genotypes in dissimilar fashion. Rainfall, relative humidity, wind speed and soil temperature were identified as strong driving forces for development and growth, affecting pod yield. The identified genotypes could be suitable candidates for further study.
机译:随着迄今为止的天气波动增加,需要更好地了解他们对作物的影响变得更加迫切。基因型X环境(GXE)对豆荚产量和豆荚数的相互作用在四个中非秋葵基因型中评估了四个连续几年(否则称为环境),通过现场试验,以三个随机的完整块设计排列,其中三个重复。检测到测量性状的显着的GXE相互作用,表明对这些性状的稳定基因型的选择必须是环境特异性的。因此,应用了添加剂的主要效应和乘法相互作用模型来描述GXE相互作用。对于POD产量,方形的治疗总和的最高百分比(38.4%)可归因于基因型,其次是GXE相互作用(36.0%)和环境(25.6%),表明该特征的基因型变异的优势。相反,针对POD编号观察到GXE相互作用的患病率。宏观均值和IPCA的一体化1分透露,环境倾向于区分不同的方式。降雨,相对湿度,风速和土壤温度被确定为开发和生长的强大驱动力,影响豆荚产量。鉴定的基因型可以是进一步研究的合适候选者。

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