Genotype by environment interactions of twenty accessions of cowpea [Vigna unguiculata (L.) Walp.] across two locations in Nigeria

Adebola Olayemi Odeseye , Nojimu Adetunji Amusa , Ighodalo Folorunso Ijagbone , Sunday Ezekiel Aladele , Liasu Adebayo Ogunkanmi
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引用次数: 15

Abstract

The genotype × environment interaction (GxE) is a serious problem when comparing the performance of crop genotype across environments because it reduces the efficiency of the genetic gain through selection. GxE is said to occur when the relative performance of the crop genotype is not consistent from one environment to another. The purpose of the study is to use genotype-focused scaling for genotypic comparison and environment-focused scaling for environmental comparison. Yield data component were determined from 20 accessions of Cowpea from Nigeria across two locations during year 1 and year 2 planting seasons to study the effect of environment on genotype. Ten quantitative traits were analyzed and yield component, such as weight of seed in pod, weight of 100 seed/plant, number of seed/pod, pod length, and number of pods/plant, were measured and subjected to statistical analysis. From the result obtained, there were significant differences in weight of seed in pod, weight of 100 seed/plant, number of seed/pod, pod length, and number of pods/plant, having 0.084, 11.638, 13.182, 9.390, and 51.911 at P ≤ 0.01 across the two locations. The study revealed a significant effect of environment on yield component among the genotypes. However, the most stable genotypes across the two locations were NG/SA/07/083, NG/SA/DEC/07/035, and NG/SA/07/0042.

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豇豆(Vigna unguiculata, L.) 20份材料环境互作基因型分析Walp。在尼日利亚的两个地点
基因型 × 环境互作(GxE)是比较作物基因型在不同环境下表现的一个严重问题,因为它降低了通过选择获得遗传增益的效率。当作物基因型在不同环境下的相对表现不一致时,就会发生GxE。本研究的目的是采用以基因型为中心的量表进行基因型比较,以环境为中心的量表进行环境比较。在第一年和第二年的种植季节,对尼日利亚两个地区的20份豇豆进行了产量数据分析,以研究环境对基因型的影响。对10个数量性状进行分析,并对籽粒重、百粒/株重、籽粒/荚数、荚果长、荚果数等产量组成进行测定和统计分析。结果表明,两个地点的荚果粒重、百粒/株重、种子/荚数、荚果长和荚果数差异显著,分别为0.084、11.638、13.182、9.390和51.911 ( P ≤ 0.01)。结果表明,环境对各基因型的产量构成有显著影响。两个地点最稳定的基因型分别是NG/SA/07/083、NG/SA/DEC/07/035和NG/SA/07/0042。
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