Development of cultivars resistant to powdery mildew instigated by Erysiphe polygoni DC. is an important objective of breeding mungbean (Vigna radiata L. Wilczek) worldwide. The obligate parasitic nature of the pathogen, diverse host range and quantitative inheritance pattern obscure breeding progress towards identification of resistance sources in this crop. Moreover, environment and genotype × environment interaction (GEI) effects also complicate identification of sources of durable resistance against powdery mildew. The present study is an attempt to unravel the GEI interaction for the purpose of evaluating sources of durable resistance, followed by identification of testing locations based on decisive parameters (discrimination power, representativeness and desirability index) as well as mega-environment delineation using the heritability-adjusted GGE (HA-GGE) biplot method. Initial studies with 236 mungbean genotypes revealed 20 promising genotypes, which were assessed further in multi-location and multi-year trials. Integration of the HA-GGE biplot and other statistical parameters revealed significant influence of environment and GEI on the dynamics of the disease, advocating the efficacy of multi-locational trials. HA-GGE biplot detected IPM-312-19 as an ideal genotype and Pusa-0672 and MH-2-15 as desirable, having durable resistance and genetic buffering capacity against this disease. These genotypes could be utilised in future resistance breeding program in mungbean. Enumeration of bootstrapping at a 95% confidence interval validated the genotype recommendation. Mega-environment delineation and desirability index suggest precise testing of material with resource optimisation in future breeding programs.

多角形刺梨DC促成的抗白粉病品种的发展。是培育绿豆（Vigna radiata）的重要目标L. Wilczek）。病原体的专性寄生特性，不同寄主范围和定量遗传模式阻碍了在鉴定该作物抗性来源方面的育种进展。此外，环境和基因型×环境相互作用（GEI）的影响也使对白粉病的持久抗性来源的鉴定更加复杂。本研究旨在揭示GEI相互作用，以评估持久抗药性的来源，然后根据决定性参数（判别力，代表性和合意性指标）以及使用遗传力的大环境描述来确定测试位置调整的GGE（HA-GGE）双图法。对236种绿豆基因型的初步研究表明，有20种有希望的基因型，在多地点和多年试验中对其进行了进一步评估。HA-GGE双图和其他统计参数的整合揭示了环境和GEI对疾病动力学的重大影响，提倡多地点试验的有效性。HA-GGE双谱图检测到IPM-312-19是理想的基因型，Pusa-0672和MH-2-15是理想的基因型，对这种疾病具有持久的抵抗力和遗传缓冲能力。这些基因型可用于绿豆今后的抗性育种计划中。以95％置信区间进行自举枚举验证了基因型建议。巨型环境的描述和合宜性指数建议在未来的育种计划中通过资源优化对材料进行精确测试。HA-GGE双图和其他统计参数的整合揭示了环境和GEI对疾病动力学的重大影响，提倡多地点试验的有效性。HA-GGE双谱图检测到IPM-312-19是理想的基因型，Pusa-0672和MH-2-15是理想的基因型，对这种疾病具有持久的抵抗力和遗传缓冲能力。这些基因型可用于绿豆今后的抗性育种计划中。以95％置信区间进行自举枚举验证了基因型建议。巨型环境描述和合宜性指数建议在未来的育种计划中通过资源优化对材料进行精确测试。HA-GGE双图和其他统计参数的整合揭示了环境和GEI对疾病动力学的重大影响，提倡多地点试验的有效性。HA-GGE双谱图检测到IPM-312-19是理想的基因型，Pusa-0672和MH-2-15是理想的基因型，对这种疾病具有持久的抵抗力和遗传缓冲能力。这些基因型可用于绿豆今后的抗性育种计划中。以95％置信区间进行自举枚举验证了基因型建议。巨型环境的描述和合宜性指数建议在未来的育种计划中通过资源优化对材料进行精确测试。HA-GGE双谱图检测到IPM-312-19是理想的基因型，Pusa-0672和MH-2-15是理想的基因型，对这种疾病具有持久的抵抗力和遗传缓冲能力。这些基因型可用于绿豆今后的抗性育种计划中。以95％置信区间进行自举枚举验证了基因型建议。巨型环境描述和合宜性指数建议在未来的育种计划中通过资源优化对材料进行精确测试。HA-GGE双谱图检测到IPM-312-19是理想的基因型，Pusa-0672和MH-2-15是理想的基因型，对这种疾病具有持久的抵抗力和遗传缓冲能力。这些基因型可用于绿豆今后的抗性育种计划中。以95％置信区间进行自举枚举验证了基因型建议。巨型环境的描述和合宜性指数建议在未来的育种计划中通过资源优化对材料进行精确测试。