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Opportunities for improving intrinsic water use efficiency in C <sub>4</sub> plants under climate change

Oula Ghannoum, Yazen Al‐Salman, Francisco Javier Cano

2025New Phytologist9 citationsDOIOpen Access PDF

Abstract

Summary C 4 photosynthesis is inherently efficient, saturating at low intercellular CO 2 ( C i ) and operating under low stomatal conductance ( g s ), resulting in high intrinsic water use efficiency (iWUE = assimilation rates, ( A )/ stomatal conductance ( g s )). While iWUE is generally higher in C 4 than in C 3 plants, future climate scenarios, marked by increasing atmospheric CO 2 , temperatures, and aridity, present ongoing pressures on crop productivity in C 4 ‐dominated environments. This review explores the physiological, anatomical, and environmental factors controlling iWUE in C 4 plants, with a focus on balancing productivity and resilience under climate change. Using process models of photosynthesis and stomatal behaviour, we assess how iWUE varies with photosynthetic limitations, highlight the central role of stomata in controlling iWUE, and predict the physiological adjustments needed to optimize carbon gain per unit water loss. Recent evidence points to leaf width as a useful trait influencing leaf energy balance, temperature, and transpiration. We propose integrated physiological and breeding strategies to optimize crop iWUE and yield under climate stress, supported by emerging sensing and selection technologies.

Topics & Concepts

Stomatal conductanceWater-use efficiencyEnvironmental sciencePhotosynthesisClimate changeTranspirationAgronomyProductivityWater useTraitDrought toleranceYield (engineering)Psychological resilienceCarbon assimilationEcosystemAtmospheric sciencesTurgor pressurePhotosynthetic capacityPrecipitationClimate resilienceAgricultural engineeringAssimilation (phonology)AgroforestryEcologyCrop yieldPhotosynthetic efficiencyAdaptabilitySustainabilityCropEffects of global warmingBiologyCrop productivityCarbon dioxidePlant Water Relations and Carbon DynamicsPlant responses to elevated CO2Climate variability and models
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