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Canopy warming accelerates development in soybean and maize, offsetting the delay in soybean reproductive development
Ursula M Ruiz-Vera1,2, Matthew H Siebers1,2, Deepak Jaiswal1
1Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Plant, Cell & Environment
|July 29, 2018
Summary
Climate change effects on crops were studied. Elevated carbon dioxide and warming accelerated soybean and maize development, with warming mitigating some negative impacts of CO2.
Area of Science:
- Agricultural Science
- Plant Physiology
- Climate Change Biology
Background:
- Rising atmospheric carbon dioxide ([CO2]) and surface temperatures individually impact crop development and yield.
- The interactive effects of these climate change factors under field conditions require further investigation.
Purpose of the Study:
- To evaluate the combined impacts of elevated [CO2] and canopy warming on soybean and maize development.
- To assess the predictive capabilities of thermal models under simulated climate change conditions.
Main Methods:
- Utilized free air CO2 enrichment (FACE) plots with nested infrared heating arrays over three growing seasons.
- Monitored vegetative and reproductive development in soybean and maize under elevated [CO2] with and without warming.
- Analyzed changes in leaf carbohydrates, respiration, morphology, and environmental conditions.
Main Results:
- In soybean, elevated [CO2] plus warming accelerated vegetative development and increased node number; warming mitigated [CO2]-induced delays in reproductive development.
- Maize showed accelerated vegetative and reproductive development under warming, with no significant effect from elevated [CO2].
- Observed developmental changes correlated with alterations in physiological and morphological parameters.
Conclusions:
- Warming can counteract some negative developmental effects of elevated [CO2] in crops like soybean.
- A process-based thermal model (β function) effectively predicted crop development under combined climate change stressors, outperforming the growing degree day model.
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