Relationship Between High-Temperature Stress and Key Physio-Chemical, Reactive Oxygen Species and Antioxidants in Spring Maize Hybrids Under Semi-Arid Conditions

Abstract

High-temperature stress is one of the hurdles to achieving self-sufficiency and sustainability in maize production globally. The current experimental study was executed to identify the best suitable maize hybrids for heat-prone areas based on their performance. During spring 2020 & 2021, hybrids were sown under two stress conditions (a) control sowing and (b) late sowing. Kernel yield and related characteristics varied significantly among maize hybrids across both situations (P<0.05). Under High-temperature stress, correlation analysis uncovered a positive relationship between kernel yield and chlorophyll a (r = 0.77**, 0.54**), chlorophyll b (r = 0.72**, 0.66**), net photosynthetic rate (r = 0.71**, 0.67**), proline contents (r = 0.59*, 0.54**), hydrogen peroxide (r = 0.54*, 0.17NS), thousand kernel weight (r = 0.71*, 0.38*). Principal component and biplots analysis unveiled that the first four principal components accountable for 78.0% of the total variability among hybrids, with days to 50% silking, plant height, number of kernels per ear, kernel yield, net photosynthetic rate, hydrogen peroxide, malondialdehyde, and catalase as the primary sources of variation. Agglomerative Hierarchical Clustering (AHC) categorizes indigenous and multinational maize hybrids into three classes under stress treatments. The cluster analysis further revealed that indigenous hybrids, particularly YH-5395, YH-5482 and YH-5427 were the most heat tolerant and productive hybrids while YH-5404, P-1543 and JPL-1908 were among the most heat susceptible ones. Consequently, these hybrids are recommended for widespread cultivation, particularly in regions prone to high temperatures.

Morphometric, Physiological and Biochemical Charactrization of Local and Exotic Maize Hybrid Under Heat and Water-Stress Stress Conditions at Post-Anthesis Stage

“…Several investigators employed cluster analysis to identify cultivars under different environmental scenarios such as water and heat stress conditions and found it quite useful in screening and classifying germplasm to run a successful hybrid breeding program (Saeed et al, 2018;Bhatti et al, 2020;Khalid et al, 2020). Ghani et al (2023) evaluated and categorized ten maize hybrids using cluster analysis, demonstrating the effectiveness of cluster analysis grouped into three clusters depending upon their productivity and stress tolerance. In the current study, cluster analysis grouped maize hybrids concerning their genetic diversity under different water and heat stress conditions.…”