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Integrating morpho-physiological and grain quality indicators to identify climate-responsive wheat genotypes under contrasting agro-ecologies in India


Citation :- Integrating morpho-physiological and grain quality indicators to identify climate-responsive wheat genotypes under contrasting agro-ecologies in India. Crop Res. 60: 280-288
GADDAM TARUN, KRISHAN PAL, KAVITA RANI, R. P. SAHARAN AND MAYUR H. CHAUDHARI iamtarungaddam@gmail.com
Address : Department of Genetics and Plant Breeding, Guru Kashi University, Talwandi Sabo-151302, Punjab, India
Submitted Date : 8-07-2025
Accepted Date : 6-08-2025

Abstract

Wheat, a staple for global food security, faces increasing threats from environmental stresses, particularly terminal heat, alongside a continuous demand for enhanced grain quality. Understanding the genetic basis of morpho-physiological and quality traits, and their environmental interactions, is crucial for crop improvement. This study aimed to identify climate-responsive wheat genotypes by comprehensively assessing morpho-physiological, yield, and grain quality parameters. The research spanned two Rabi seasons (2023-24 and 2024-25) across contrasting Indian agro-ecologies: Talwandi Sabo, Punjab (normal conditions), and Ongole, Andhra Pradesh (late-sown, heat-stressed conditions). Forty-three diverse wheat genotypes, including three checks, were evaluated using a Randomised Block Design (RBD) for field experiments and a Completely Randomised Design (CRD) for laboratory analyses. The investigation focused on dissecting genotypic distinctions, elucidating trait interrelationships, quantifying varietal separations, assessing protein content, and characterising heat stress impact through various indices and multivariate analyses. Significant genotypic distinctions were observed for all 26 evaluated traits, encompassing phenological, morphological, yield-contributing, seedling vigour, and grain quality attributes. Heat stress accelerated phenological development, drastically reduced most morpho-physiological traits and yield components, leading to substantial reductions in grain yield. Interestingly, mean test weight and protein content increased under stress. Varietal analyses showed distinct performances: G40 (PBW 475) excelled in optimal conditions, while G27 (HD 3386), G4 (WH 1140), and G32 (PBW 706) showed promise under heat stress. HD 2307 consistently exhibited high protein content. Stress indices and Principal Component Analysis (PCA) successfully differentiated heat-tolerant genotypes (e.g., HD 2307, PBW 677, HD 3386) from susceptible ones. This research provides a robust framework for developing high-yielding, climate-resilient wheat cultivars for contrasting Indian agro-ecologies.
 

Keywords

Environment-wise mean comparisons grain quality heat stress principal component analysis varietal identification wheat

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