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Comprehensive Analysis of Genotype by Environment Interaction of Maize Cultivars under Multi-Environment Conditions in North China

机译:华北多环境条件下玉米品种环境互作的基因型综合分析

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A multi-environment trial of maize cultivars in the north of China was conducted at 17 sites to assess the agronomic traits and test location representativeness. An additive main effects and multiplicative interaction (AMMI) model and a genotype main effect (G) and genotype and environment interaction (GE), (GGE) biplot were used to analyze the data. Results showed that the grain yields of summer maize cultivars were remarkably influenced by environment (E), genotype (G), and genotype by environment interaction (GEI). The effect of GEI was 1.53 times higher than that of genotypes. The cultivars Hengyu1182, Longhua369 and J1302 exhibited good yield and stability. Among sites Baoding, Xinle, Yutian and Zhengding showed good discriminating ability while Langfang, Gaoyang and Tanchang sites displayed good representativeness. In correlation analysis, agronomic traits, such as ear length, kernel row number, and 1000-grain weight were positively correlated with maize yield. Conversely, barren ear tip was negatively correlated with yield. This study confirmed that the AMMI model and GGE biplot are effective methods for exploring the stability and adaptability of genotypes and representative patterns of biplots in crop breeding and subsequent cultivar recommendations.
机译:在中国北方的17个地点进行了玉米品种的多环境试验,以评估其农艺性状和测试地点的代表性。使用加性主效应和乘性相互作用(AMMI)模型以及基因型主效应(G)和基因型与环境相互作用(GE),(GGE)双线图分析数据。结果表明,夏玉米品种的籽粒产量受到环境(E),基因型(G)和环境相互作用(GEI)的显着影响。 GEI的影响是基因型的1.53倍。品种恒宇1182,龙华369和J1302表现出良好的产量和稳定性。保定,新乐,玉田,正定等地具有较好的判别能力,廊坊,高阳,谭场等地具有较好的代表性。在相关分析中,穗长,籽粒行数和1000粒重等农艺性状与玉米产量成正相关。相反,贫瘠的耳尖与产量负相关。这项研究证实了AMMI模型和GGE双谱图是探索基因型的稳定性和适应性以及在作物育种和随后的栽培品种推荐中双齿的代表性模式的有效方法。

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