Hailemariam Habtegebriel Mesfin
Department of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia.
Ethiopian Institute of Agricultural Research (EIAR), Addis Ababa, Ethiopia.
Front Plant Sci. 2022 Nov 23;13:950992. doi: 10.3389/fpls.2022.950992. eCollection 2022.
Genotype by environment interaction (GEI) is a phenomenon that occurs in heterogeneous environments that slows breeding progress by preventing the selection of superior cultivars for breeding and commercialization. Therefore, the objectives of this study were to find out how GEI impacts soybean output and to identify the most adapted and stable genotypes. Moreover, to look at the possibility of other mega environments for testing in the future. The experiments were grown for two years in a four-replicated randomized block design at each environment. Over the course of several harvests, yield components, days to flowering, days to maturity, plant height, the number of pods per plants, the number of seeds per plant, hundred seed weight and grain yield per hectare were evaluated in the main for 2018 and 2019.To analyze the stability performance of the genotypes, general linear method, GGE and Additive main effect and multiplicative interaction effects analysis (AMMI) and ASV rank analysis were applied. The GGE biplot revealed that the GGE biplots explained 74.29% of the total variation distributed as,56.69% and 17.62% of sum of squares between principal component PC1 and PC2, respectively whereas, AMMI model, the first two interaction principal component axes (IPCA1 and IPCA2) explained 47.74% and 26.62% of the variation due to GEI, respectively, exposed genotypes identified the five as best performer. The results from the four distinct stability statistics AMMI biplot (G8, G2, G1, G11), ASV (G1, G11; (GSI; G9, G1, G11) and (GGE: G2, G8, G9) are taken into account together with the genotypes` grand mean. The genotypes JM-CLK/CRFD-15-SD (G8) and 5002T (G1), which rank among the best and have the highest seed output, are suitable for hybridization as a parent and commercial production. Therefore, genotypes JM-CLK/CRFD-15-SD (G8) and 5002T(G1) have the highest seed output were among the best and thus could be recommended for release as a new soybean varieties cultivation across.
基因型与环境互作(GEI)是一种在异质环境中出现的现象,它通过阻碍选育和商业化过程中对优良品种的选择,减缓了育种进程。因此,本研究的目的是了解GEI如何影响大豆产量,并确定适应性最强和最稳定的基因型。此外,还要探讨未来是否有可能存在其他可用于测试的大环境。这些试验在每个环境中采用四重复随机区组设计,种植了两年。在2018年和2019年的多次收获过程中,主要对产量构成因素、开花天数、成熟天数、株高、单株荚数、单株粒数、百粒重和每公顷籽粒产量进行了评估。为了分析基因型的稳定性表现,应用了通用线性方法、GGE以及加性主效应和乘积互作效应分析(AMMI)和ASV秩分析。GGE双标图显示,GGE双标图分别解释了总变异的74.29%,其中56.69%和17.62%分布在主成分PC1和PC2之间的平方和中;而在AMMI模型中,前两个互作主成分轴(IPCA1和IPCA2)分别解释了由于GEI导致的变异中的47.74%和26.62%;通过对暴露基因型的分析,确定了五个表现最佳的基因型。将四个不同稳定性统计量(AMMI双标图(G8、G2、G1、G11)、ASV(G1、G11;(GSI;G9、G1、G11)和(GGE:G2、G8、G9))的结果与基因型的总均值综合考虑。基因型JM-CLK/CRFD-15-SD(G8)和5002T(G1)表现最佳且种子产量最高,适合作为亲本进行杂交和商业化生产。因此,基因型JM-CLK/CRFD-15-SD(G8)和5002T(G1)种子产量最高且表现最佳,因此可推荐作为新的大豆品种在各地推广种植。