Agro-Physiological Indices and Multidimensional Analyses for Detecting Heat Tolerance in Wheat Genotypes

Increasing atmospheric temperature can significantly reduce global wheat productivity; despite a mounting demand for grain supplies. Developing genotypes with superior performance under current and future hot climates is key challenge breeders. Multidimensional tools have supported plant breeders in increasing the genetic stability rate of agro-physiological indices that influence productivity. We used 25 to classify 20 bread their heat stress tolerance. Agro-physiological multidimensional analyses identify differences phenotypic were used, combining these reach selection criteria accurate credible. The studied reflected high genotypic environmental variations. 16 indices, which brought together heritability gain as indicators screening heat-tolerant genotypes. Based on seven principal comprehensive (D value), classified into three highly heat-tolerant, four six moderately five heat-sensitive, two heat-sensitive critical [grain yield (GY), grain-filling duration (GFD), spike length (SL) canopy (CT)] obtained from stepwise multiple linear regression (SMLR), grouped heat-sensitive. classification D value SMLR distances correlated based Mantel test, perfect match nine indicated mathematical equation evaluation tolerance was established: GY = 0.670 + 0.504 × GFD 0.334 SL − 0.466 CT (R2 0.739; average prediction accuracy 94.12%). SMLR-based further verified through discriminant analysis, showed prior posterior identical eighteen Cross-validation thirteen this study, we recommend tolerated new lines (DHL25, DHL05, DHL23 DHL08) cultivar Pavone-76 promising source breeding programs.