孟加拉国几种高产末端耐热小麦基因型的AMMI和GGE双图分析

IF 1.1 Q3 AGRONOMY
Nur Un Nesa, Anannya Das, G. H. M. Sagor
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引用次数: 0

摘要

为了可持续农业的发展和繁荣,培育出即使在日益恶劣的环境条件下也能稳定产量的小麦新基因型至关重要。采用随机完全区组设计,每组3个重复,研究了35个小麦基因型在不同条件下,基因型与环境(G × E)对产量稳定性的相互作用。方差分析显示基因型、环境及其相互作用之间存在显著差异(p < 0.01),表明在这些测试条件下,性能存在高度差异。利用二维GGE双标图说明了不同基因型在不同环境下的表现,导致单株产量的GEI差异为96.15%和3.24%。还鉴定出了G4、G10、G34和G35等稳定高产基因型。应用AMMI模型对环境基因型数据进行分析,结果表明G34在多个变量上表现最好。在末热胁迫条件下,平均产量高、稳定性好的最有希望的基因型依次为G34、G33、G32和G31。应用AMMI模型对环境基因型数据进行分析,结果表明G34在多个变量上表现最好。在末热胁迫条件下,平均产量高、稳定性好的基因型依次为G34、G33、G32和G31。基于AEC线,G33和G31较稳定,G1和G29较不稳定。GGE和AMMI双标图有效地显示了基因型与环境条件之间的复杂关系,并将基因型分为三类。这张图简化了评估程序,有助于阐明基因型在各种不利环境条件下的适应性和商业化栽培程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AMMI and GGE Biplot Analysis for Selection of Some High Yielding Terminal Heat Stress Tolerant Wheat (Triticum aestivum) Genotypes in Bangladesh

For the development of sustainable agriculture and prosperity, it is important to breed new wheat genotypes that can produce stable yields even under increasingly adverse environmental conditions. In this study, the interactions between genotype and environment (G × E) on yield stability of thirty-five wheat genotypes under different conditions were investigated in a randomized complete block design with three replicates each. Analysis of variance revealed significant differences (p < 0.01) among genotypes, environments and their interactions, suggesting a high degree of variability in performance under these test conditions. A two-dimensional GGE biplot was used to illustrate how the different genotypes performed in the different environments responsible for 96.15 and 3.24% difference in GEI for yield per plant. Stable and high yielding genotypes such as G4, G10, G34 and G35 were also identified. The application of the AMMI model for the analysis of genotype-by-environment data showed that G34 performed best in several variables. The most promising genotypes with high average yield with high stability under terminal heat stress conditions are, in rank order, G34, G33, G32 and G31. The application of the AMMI model for the analysis of genotype-by-environment data showed that G34 performed best in several variables. The most promising genotypes with high average yield with high stability under terminal heat stress conditions were, in rank order, G34, G33, G32 and G31. Based on the AEC line, G33 and G31 were more stable, while G1 and G29 were less stable. The complex relationships between the genotypes and the environmental conditions were efficiently visualized by GGE and AMMI biplots, allowing a classification of the genotypes into three categories. The evaluation procedure was simplified by this graph which helped to clarify how well a genotype adapts and is commercially cultivated in various adverse environmental conditions.

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来源期刊
CiteScore
3.80
自引率
0.00%
发文量
24
期刊介绍: The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.
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