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Abiotic stresses such as drought, heat, cold, and salinity, threaten global crop productivity, particularly during the highly sensitive reproductive phase. These stresses disrupt female gametophyte formation, ovule development, fertilization, and seed maturation, resulting in reduced fertility and yield losses. While the mechanisms of vegetative stress tolerance are relatively well studied, reproductive-stage resilience, especially the resilience of the female gametophyte, remains insufficiently understood, despite its decisive role in determining yield stability. Recent advances provide an opportunity to close this gap through an integrative perspective. Physiological assessments and high-throughput phenotyping offer reliable tools to evaluate gametophyte and embryo performance under stress. Multi-omics approaches, including genomics, transcriptomics, proteomics, and metabolomics, are covering regulatory pathways underlying reproductive success. Emerging technologies such as CRISPR/Cas genome editing, biomarker discovery and machine learning further accelerate trait identification and their application in breeding pipelines. The novelty of this review lies in its focus on the female gametophyte as an overlooked determinant of stress resilience and in presenting a systems-level framework that integrates physiology, omics, breeding, and AI. This integration does more than catalogue stress effects; it connects mechanistic insights with breeding strategies and scales them with computational tools. The ultimate outcome is climate-resilient varieties that sustain productivity under stress, which support farmer livelihoods and contribute to global food security.
Mantesh et al. (Sat,) studied this question.