Yield Stability Analysis of Late Set Pigeon Pea (Cajanus cajan L.) Genotypes

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Abstract

Pigeon pea breeding program in Ethiopia has been started recently and is actively involved in improving the genetic yield potential to meet the needs of farmers in different parts of the country through genotype introduction. Since performance of the genotypes depends on the genetic potential of the crop and the environment in which the crop is grown, this study aimed at the evaluation of yield performance and stability of six late set pigeon pea genotypes including the standard check. Yield performances were evaluated at five locations namely Bako, Billo, Gute, Uke and Chewaka in parts of western Oromia during 2021 main growing seasons. The experiment in each location was arranged in a Randomized Complete Block Design with three replications. The results showed that the yield performances of late set pigeon pea genotypes were highly influenced by genotype-environment interaction (GEI). The yield components were significantly affected by GEI. The partitioning of the G + GE sum of squares showed that IPCA1 and IPCA2 were significant components which accounted for 29.72 % and 34.86 % of G + GE sum of squares, respectively. Highly significant mean square was observed for genotypes, genotypes by Environment interaction and environment indicating adaptation for high performance environments showing these genotypes were sensitive to environments and gave maximum yield when inputs are not limited. Genotypes ICEAP 01499 and ICEAP 01489 were stable and had relatively high yield performances across test environments. Hence, these two genotypes were identified as candidate genotypes to be verified for possible release in the subsequent season for Western Oromia and areas with similar agro-ecologies.
晚熟鸽豆产量稳定性分析基因型
埃塞俄比亚最近启动了鸽豆育种计划,并积极参与提高遗传产量潜力,以通过基因型引进满足该国不同地区农民的需求。由于基因型的性能取决于作物的遗传潜力和作物生长环境,因此本研究旨在评估6个晚熟鸽豆基因型的产量性能和稳定性,包括标准检验。在2021年主要生长季节,对奥罗米亚西部部分地区的Bako、Billo、Gute、Uke和Chewaka五个地点的产量表现进行了评估。每个地点的实验采用随机完全区组设计,3个重复。结果表明,基因型-环境互作(GEI)对晚熟鸽豆的产量性能影响较大。GEI对产量构成有显著影响。对G + GE平方和的划分表明,IPCA1和IPCA2是显著成分,分别占G + GE平方和的29.72%和34.86%。基因型、受环境相互作用影响的基因型和表明适应高性能环境的环境均方差均显著,表明这些基因型对环境敏感,在投入不受限制的情况下产量最大。基因型ICEAP 01499和ICEAP 01489在不同的试验环境下表现稳定,产量相对较高。因此,这两种基因型被确定为候选基因型,以便在西奥罗米亚和具有类似农业生态的地区的下一季节进行验证。
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