中文摘要：

【目的】解析黄淮海地区大豆育成品种产量构成因素对产量的贡献及其品种与环境的互作,鉴定代表性品种高产与稳产性,为黄淮海大豆育成品种在生产及育种中的有效利用提供理论依据。【方法】利用能够直观分析农作物双向数据的GGE（genotype＋genotype-by-environment interaction）双标图,根据GGE中的＂环境之间的关系＂（＂environmental vector＂view）、＂哪个赢在哪里＂（＂which-won-where＂view）及＂高产性和稳产性＂（＂mean VS stability＂view）分析参试品种的高产特性与不同年份试验的代表性,解析黄淮海区域有代表性的94个夏大豆品种在2008—2010年份的产量与产量组成因子。【结果】不同年份相同区域的试验品种表现差异很大,品种与环境存在互作。单株粒重、单株粒数、单株荚数、百粒重是产量的主要贡献性状,其中,影响产量最重要的因素是单株粒重。三年中,受不同年度环境影响较小、稳产性较好且高产的品种有冀9号-3L-2、冀豆17、徐豆10号、中作00-484和7651-1。【结论】在产量构成因素中,对产量影响的最重要因子是单株粒重,其次为单株粒数、单株荚数和百粒重;相同区域不同年份间品种产量差异较大,品种与环境之间存在互作。

英文摘要：

[Objective] The purpose of the study was to analyze the factors contributing to soybean yield, the cross interaction between gene and environment, and evaluation of productivity and stability of soybean cultivars in the Huang-Huai-Hai region in order to provide a theoretical basis for the effective utilization of soybean cultivars in production and breeding. [Method] GGE （genotype ＋ genotype-by-environment interaction） biplot is a kind of software that would show the result of interaction between genotype and genotype-by-environment, in this study, 94 summer soybean cultivars were grown in controlled conditions for three years from 2008 to 2010. The growth and yield data were analyzed based on ＂environmental vector＂ view, ＂which-won-where＂ view and ＂mean VS. stability＂ view in GGE biplot. [Result] The result showed that the yields of these cultivars were unstable in the changing annual environment of the same region, There was a cross interaction between gene and environment. This study analyzed the factors relevant to soybean yield. The result showed that the yield waspositively correlated with total seed weight per plant, seed number per plant, pod number per plant, and 100-seed-weight. Within the three years, among the high yield cultivars, the stability of Ji9-3L-2, Jidoul 7, Xudoul 0, Zhongzuo00-484, and 7651-1 ranked higher. [Conclusion] Based on GGE biplot, this study identified the productivity and stability of the soybean cultivars in Huang-Huai-Hai Region. This study provides supportive evidence for future agriculture allocation and future soybean sowing plan. The total seed weight per plant is most closely correlated with yield, followed by seed number per plant, 100 seed weight, and pod number per plant.