The elevating temperature makes heat stress one of the major issues for wheat production globally. To elucidate genetic basis and map heat tolerance QTLs for agroecology of the State of Bihar under NEPZ, a set of 166 doubled haploid lines (DHLs) derived from the cross between PBW343/IC252874 was used. The population was evaluated under normal sown (NS) and late sown (LS) conditions for two cropping seasons. The canopy temperature (CT) showed positive correlations with grain yield, whereas Soil Plant Analysis Development (SPAD) chlorophyll meter value was not significantly correlated and associated with grain yield (GY) in both the normal and late sown conditions. Composite interval mapping identified a total of 12 quantitative trait loci (QTLs) viz., 2 (NS), 10 (LS) mapped on linkage groups 1A, 1D, 2B, 2D, 3B, 4D, 5B, and 6D, during both the crop seasons 2017–18 and 2018–19. Combining the results of these QTLs revealed a major stable QTL for GY on chromosome 3B which explained 11.84% to 21.24% of phenotypic variance under both sowing conditions. QTL for CT and SPAD was detected on chromosome 1A, while QTL for GY on chromosome 3B and 5B. The identified QTLs could be targeted for genetic improvement and marker-assisted selection for heat tolerance in wheat. The tools like SPAD and CT could be exploited to screen a large number of breeding lines.

气温升高使热应激成为全球小麦生产的主要问题之一。为了阐明 NEPZ 下比哈尔邦农业生态学的遗传基础和耐热性 QTL，使用了一组来自 PBW343/IC252874 杂交的 166 个双单倍体系 (DHL)。在正常播种 (NS) 和晚播 (LS) 条件下对两个种植季节的种群进行评估。在正常和晚播条件下，冠层温度（CT）与谷物产量呈正相关，而土壤植物分析发育（SPAD）叶绿素计值与谷物产量（GY）无显着相关性和相关性。复合区间作图确定了总共 12 个数量性状基因座 (QTL)，即 2 (NS)、10 (LS) 映射在连锁群 1A、1D、2B、2D、3B、4D、5B 和 6D 上，在 2017-18 和 2018-19 两个作物季节。结合这些 QTL 的结果，揭示了 3B 染色体上 GY 的主要稳定 QTL，这解释了两种播种条件下 11.84% 至 21.24% 的表型变异。CT和SPAD的QTL在1A染色体上检测到，而GY的QTL在3B和5B染色体上检测到。鉴定的 QTL 可用于小麦耐热性的遗传改良和标记辅助选择。SPAD 和 CT 等工具可用于筛选大量育种系。鉴定的 QTL 可用于小麦耐热性的遗传改良和标记辅助选择。SPAD 和 CT 等工具可用于筛选大量育种系。鉴定的 QTL 可用于小麦耐热性的遗传改良和标记辅助选择。SPAD 和 CT 等工具可用于筛选大量育种系。