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

Alex C WuJason BriderFlorian A BuschMin ChenKarine ChenuVictoria C ClarkeBrian CollinsMaria ErmakovaChristopher John EvansGraham D FarquharBritta ForsterRobert T FurbankMichael GroszmannMiguel A Hernandez-PrietoBenedict M LongGreg McleanAndries PotgieterG Dean PriceRobert E SharwoodMichael StowerErik J van OosteromSusanne von CaemmererSpencer M WhitneyGraeme L Hammer
Published in: Plant, cell & environment (2022)
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.
Keyphrases
  • climate change
  • gene expression
  • adipose tissue
  • human health
  • risk assessment
  • genome wide
  • insulin resistance
  • high throughput
  • skeletal muscle
  • single cell
  • weight loss
  • stress induced