Zambiazzi E V, Bruzi A T, Guilherme S R, Pereira D R, Lima J G, Zuffo A M, Ribeiro F O, Mendes A E S, Godinho S H M, Carvalho M L M
Departamento de Agricultura, Universidade Federal de Lavras, Lavras, MG, Brasil.
Departamento de Biologia, Universidade Federal de Lavras, Lavras, MG, Brasil.
Genet Mol Res. 2017 Sep 27;16(3):gmr-16-03-gmr.16039801. doi: 10.4238/gmr16039801.
Estimating genotype x environment (GxE) parameters for quality and yield in soybean seed grown in different environments in Minas Gerais State was the goal of this study, as well as to evaluate interaction effects of GxE for soybean seeds yield and quality. Seeds were produced in three locations in Minas Gerais State (Lavras, Inconfidentes, and Patos de Minas) in 2013/14 and 2014/15 seasons. Field experiments were conducted in randomized blocks in a factorial 17 x 6 (GxE), and three replications. Seed yield and quality were evaluated for germination in substrates paper and sand, seedling emergence, speed emergency index, mechanical damage by sodium hypochlorite, electrical conductivity, speed aging, vigor and viability of seeds by tetrazolium test in laboratory using completely randomized design. Quadratic component genotypic, GXE variance component, genotype determination coefficient, genetic variation coefficient and environmental variation coefficient were estimated using the Genes software. Percentage analysis of genotypes contribution, environments and genotype x environment interaction were conducted by sites combination two by two and three sites combination, using the R software. Considering genotypes selection of broad adaptation, TMG 1179 RR, CD 2737 RR, and CD 237 RR associated better yield performance at high physical and physiological potential of seed. Environmental effect was more expressive for most of the characters related to soybean seed quality. GxE interaction effects were expressive though genotypes did not present coincidental behavior in different environments.
本研究的目的是估算在米纳斯吉拉斯州不同环境下种植的大豆种子质量和产量的基因型×环境（G×E）参数，以及评估G×E对大豆种子产量和质量的交互作用。2013/14年和2014/15年季，在米纳斯吉拉斯州的三个地点（拉夫拉斯、因孔菲登特斯和帕托斯-迪米纳斯）生产种子。田间试验采用17×6（G×E）析因随机区组设计，重复三次。在实验室中，采用完全随机设计，评估种子产量和质量，包括在纸和沙基质中的发芽率、幼苗出土率、出苗速度指数、次氯酸钠造成的机械损伤、电导率、加速老化、种子活力和通过四唑试验测定的种子生活力。使用Genes软件估算二次成分基因型、GXE方差成分、基因型决定系数、遗传变异系数和环境变异系数。使用R软件，通过两两地点组合和三个地点组合，对基因型贡献、环境和基因型×环境交互作用进行百分比分析。考虑到广泛适应性的基因型选择，TMG 1179 RR、CD 2737 RR和CD 237 RR在种子具有高物理和生理潜力时具有更好的产量表现。环境效应对于大多数与大豆种子质量相关的性状更为显著。尽管基因型在不同环境中没有呈现出一致的行为，但G×E交互作用效应显著。
