4.7 Article

A cross-scale analysis to understand and quantify the effects of photosynthetic enhancement on crop growth and yield across environments

Journal

PLANT CELL AND ENVIRONMENT
Volume 46, Issue 1, Pages 23-44

Publisher

WILEY
DOI: 10.1111/pce.14453

Keywords

APSIM; crop growth modelling; crop production; cross-scale model; electron transport-limited photosynthesis; enzyme-limited photosynthesis; yield improvement

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Photosynthetic manipulation provides new opportunities for enhancing crop yield, but the understanding of its impact on crop growth and yield in different environments is limited. This study used simulations to predict the effects of altering photosynthesis on wheat and sorghum yield and uncovered the complex interactions between photosynthesis and crop dynamics.
Photosynthetic manipulation provides new opportunities for enhancing crop yield. However, understanding and quantifying the importance of individual and multiple manipulations on the seasonal biomass growth and yield performance of target crops across variable production environments is limited. Using a state-of-the-art cross-scale model in the APSIM platform we predicted the impact of altering photosynthesis on the enzyme-limited (A(c)) and electron transport-limited (A(j)) rates, seasonal dynamics in canopy photosynthesis, biomass growth, and yield formation via large multiyear-by-location crop growth simulations. A broad list of promising strategies to improve photosynthesis for C-3 wheat and C-4 sorghum were simulated. In the top decile of seasonal outcomes, yield gains were predicted to be modest, ranging between 0% and 8%, depending on the manipulation and crop type. We report how photosynthetic enhancement can affect the timing and severity of water and nitrogen stress on the growing crop, resulting in nonintuitive seasonal crop dynamics and yield outcomes. We predicted that strategies enhancing A(c) alone generate more consistent but smaller yield gains across all water and nitrogen environments, A(j) enhancement alone generates larger gains but is undesirable in more marginal environments. Large increases in both A(c) and A(j) generate the highest gains across all environments. Yield outcomes of the tested manipulation strategies were predicted and compared for realistic Australian wheat and sorghum production. This study uniquely unpacks complex cross-scale interactions between photosynthesis and seasonal crop dynamics and improves understanding and quantification of the potential impact of photosynthesis traits (or lack of it) for crop improvement research.

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