Improving canopy photosynthetic light use efficiency instead of leaf photosynthesis holds great potential to catalyze the next “green revolution”. However, leaves in a canopy experience different biochemical limitations due to the heterogeneities of microclimates and also physiological parameters. Mechanistic dynamic systems models of canopy photosynthesis are now available which can be used to design the optimal canopy architectural and physiological parameters to maximize CO₂ uptake. Rapid development of modern crop genetics research now makes it possible to link such canopy models with genetic variations of crops to develop genetics‐based dynamic systems models of canopy photosynthesis. Such models can guide marker‐assisted breeding or genomic selection or engineering of crops to enhance light and nitrogen use efficiencies for different regions under future climate change scenarios.

中文翻译：

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基于遗传学的冠层光合作用动态系统模型：提高作物光和资源利用效率的关键。


提高冠层光合作用的光利用效率而不是叶片光合作用具有催化下一次“绿色革命”的巨大潜力。然而，由于微气候和生理参数的异质性，冠层中的叶子经历不同的生化限制。冠层光合作用的机械动态系统模型现已可用，可用于设计最佳的冠层结构和生理参数，以最大限度地提高 CO ₂吸收。现代作物遗传学研究的快速发展现在使得将此类冠层模型与作物的遗传变异联系起来以开发基于遗传学的冠层光合作用动态系统模型成为可能。这些模型可以指导标记辅助育种或基因组选择或作物工程，以提高未来气候变化情景下不同地区的光和氮利用效率。