Agricultural College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Hohhot, Inner Mongolia, China.
Sci Rep. 2023 Nov 1;13(1):18800. doi: 10.1038/s41598-023-46167-z.
Due to the ongoing global warming, maize production worldwide is expected to be heavily inflicted by droughts. The grain yield of maize hybrids is an important factor in evaluating their suitability and stability. In this study, we utilized the AMMI model and GGE biplot to analyze grain yield of 20 hybrids from the three tested environments in Inner Mongolia in 2018 and 2019, aiming at selecting drought-tolerant maize hybrids. AMMI variance analysis revealed highly significant difference on main effects for genotype, environment, and their interaction. Furthermore, G11 (DK159) and G15 (JKY3308) exhibited favorable productivity and stability across all three test environments. Moreover, G10 (LH1) emerged as the most stable hybrid according to the AMMI analysis and the GGE biplot. Bayannur demonstrated the highest identification ability among the three tested sites. Our study provides accurate identification for drought-resilient maize hybrids in different rain-fed regions. These findings can contribute to the selection of appropriate hybrids that exhibit productivity, stability, and adaptability in drought-prone conditions.
由于全球持续变暖,预计世界各地的玉米产量将受到严重干旱的影响。玉米杂交种的籽粒产量是评估其适宜性和稳定性的重要因素。本研究利用 AMMI 模型和 GGE 双标图分析了 2018 年和 2019 年内蒙古三个试验点 20 个杂交种的籽粒产量,旨在筛选耐旱性玉米杂交种。AMMI 方差分析表明,基因型、环境及其互作的主效均差异极显著。此外,G11(DK159)和 G15(JKY3308)在所有三个试验环境中均表现出较好的生产力和稳定性。而且,根据 AMMI 分析和 GGE 双标图,G10(LH1)是最稳定的杂交种。巴彦淖尔在三个试验点中表现出最高的识别能力。本研究为不同雨养区耐旱玉米杂交种的准确识别提供了依据。这些发现有助于选择在干旱条件下具有生产力、稳定性和适应性的合适杂交种。