AMMI biplot analysis for stability in early maturity group of rice (Oryza sativa L.)

Sreedhar Siddi, D. Anil, R. A. Fiyaz
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引用次数: 1

Abstract

Recent predictions on climate change indicate that episodes of unseasonal rains, cold stress, and high temperatures are expected to impact rice production and productivity. To obtain consistent yield across diverse environments, a rice variety should have adaptability and stability to fit into various growing seasons and locations. In the present investigation, AMMI model was employed to assess the stability of nine rice genotypes of the early maturity group across two summer and rainy seasons. Combined analysis of variance expressed a significant genotype, environment and genotype × environment interaction for grain yield and days to 50% flowering. The study also suggested environmental effect as the greatest part of the variation, followed by genotypic and genotype × environment interaction effects for these traits. Biplots and statistics of AMMI identified that G1, G3 and G5 were the most stable and adapted high yielding rice genotypes, while G9, G4 and G6 appeared to be the most stable genotypes with earliness. Hence, these genotypes could be used as directly as varieties or as donors in future breeding programmes for improving rice productivity in the early maturity group after evaluation under multi-location trials.
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水稻早熟组稳定性的AMMI双图分析
最近对气候变化的预测表明,非季节性降雨、寒冷胁迫和高温预计会影响水稻产量和生产力。为了在不同的环境中获得一致的产量,水稻品种应该具有适应性和稳定性,以适应不同的生长季节和地点。在本研究中,采用AMMI模型评估了早熟组9个水稻基因型在两个夏季和雨季的稳定性。综合方差分析表明,籽粒产量和开花天数至50%之间存在显著的基因型、环境和基因型×环境互作。环境效应对这些性状的影响最大,其次是基因型效应和基因型-环境互作效应。AMMI双标图和统计结果表明,G1、G3和G5是最稳定、适应性最强的高产水稻基因型,而G9、G4和G6是最稳定、适应性最强的高产水稻基因型。因此,这些基因型可以直接作为品种或作为供体用于未来的育种计划,以便在多地点试验评估后提高早熟组的水稻产量。
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