Drought is one of the biggest concerns in agriculture due to the projected reduction of global freshwater supply with a concurrent increase in global food demand. Roots can significantly contribute to improving drought adaptation and productivity. Plants increase water uptake by adjusting root architecture and cooperating with symbiotic soil microbes. Thus, emphasis has been given to root architectural responses and root–microbe relationships in drought-resilient crop development. However, root responses to drought adaptation are continuous and complex processes and involve additional root traits and interactions among themselves. This review comprehensively compiles and discusses several of these root traits such as structural, physiological, molecular, hydraulic, anatomical, and plasticity, which are important to consider together, with architectural changes, when developing drought resilient crop varieties. In addition, it describes the significance of root contribution in improving soil structure and water holding capacity and its implication on long-term resilience to drought. In addition, various drought adaptive root ideotypes of monocot and dicot crops are compared and proposed for given agroclimatic conditions. Overall, this review provides a broader perspective of understanding root structural, physiological, and molecular regulators, and describes the considerations for simultaneously integrating multiple traits for drought tolerance and crop improvement, under specific growing environments.

A novel approach, the Algorithmic Root Trait (ART) extraction method, identifies and quantifies computationally-derived plant root traits, revealing latent patterns related to dense root clusters in digital images. Using an ensemble of multiple unsupervised machine learning algorithms and a custom algorithm, 27 ARTs were extracted reflecting dense root cluster size and spatial location. These ARTs were then used independently and in combination with Traditional Root Traits (TRTs) to classify wheat genotypes differing in drought tolerance.

Plants orchestrate tissue-specific metabolic responses to osmotic stress, a major determinant of drought tolerance and crop productivity. Yet how leaf and root responses are coordinated to confer tolerance remains poorly understood. Here we show that drought tolerance in wheat is associated with a reproducible architectural asymmetry between tissue-level metabolomic correlation networks under controlled osmotic stress. In a drought-tolerant genotype, leaf networks are ∼40% denser and highly integrated, consistent with rapid photosynthetic adaptation, whereas root networks are modular and fragmented, consistent with localised responses. Temporal analysis revealed a decline in cross-tissue coordination, from early synchrony (ρ ≈ 0.546) toward greater tissue-specific organisation (ρ ≈ 0.350) under prolonged stress, a pattern absent in the susceptible genotype. Bayesian structure learning provided convergent support for these architectures as statistically robust, non-random network organisations (P < 0.001). Our findings suggest that drought tolerance is associated with contrasting tissue-level correlation-network organisation and temporally structured leaf-root coordination under osmotic stress. This framework advances our understanding of stress adaptation and provides a conceptual basis for breeding climate-resilient crops by targeting key network properties.