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SELECTING THE SUPERIOR GENOTYPE OF SUMMER MAIZE HYBRIDS IN MEGA-ENVIRONMENTS USING AMMI MODEL AND GGE BIPLOT IN CHINA

机译:使用AMMI模型和GGE Biplot选择Mega环境中夏季玉米杂交种的高级基因型

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摘要

Effective analysis of genotype by environment interactions (GEI) is helpful to screen stable genotypes in a variety of environments. Therefore, the purpose of this study is to test the stability and adaptability of the agronomic traits of maize hybrids from different ecological environments. Thirteen maize hybrids in twenty-six locations over two years (2017-2018) in Huanghuaihai region was conducted to compare the performance and stability of six agronomic traits using AMMI (additive main effect and multiplicative interaction) model and GGE (genotype, genotype × environment) biplot. The analysis of variance through AMMI model showed that genotype (G), environment (E), and GEI had significant effects on agronomic traits. E explains a larger portion of the total variation in grain yield (GY), ear weight (EW) and 100-grain weight (100-GW), to a much higher degree than GEI and G. However, compared to E and G, GEI contributed more to total variation in ear length (EL), kernel row number (KRN) and bald tip length (BTL). Comprehensive analysis of the AMMI model and the GGE biplot results showed that genotypes G2, G3, and G4 had better agronomic performance and stability than other genotypes and are ideal for planting.
机译:通过环境相互作用(GEI)的基因型的有效分析有助于在各种环境中筛选稳定的基因型。因此,本研究的目的是测试来自不同生态环境的玉米杂交种的农艺性状的稳定性和适应性。二十六个地点(2017-2018)在黄淮海地区的二十六个地区的十三玉米混合动力车进行了使用AMMI(添加剂主要效应和乘法互动)模型和GGE(基因型,基因型×环境的六个农艺性状的性能和稳定性)Biplot。通过AMMI模型的差异分析表明,基因型(G),环境(E)和GEI对农艺性状有显着影响。 e解释了谷物产量(GY),耳重(EW)和100粒重量(100-GW)的总变化的较大部分,比Gei和G的程度高得多。然而,与E和G相比, GEI贡献了耳朵长度(EL),内核数量(KRN)和秃顶尖端长度(BTL)的总变化。对AMMI模型的综合分析和GGE双批准结果表明,基因型G2,G3和G4具有比其他基因型更好的农艺性能和稳定性,并且是种植的理想选择。

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