|YANG, YUAN - Shanxi Agriculture University|
|SONG, CUI - Middle Tennessee State University|
|RAJAN, NITHYA - Texas A&M University|
Submitted to: Crop and Pasture Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 12/3/2021
Publication Date: N/A
Interpretive Summary: Maize yield was simulated using APSIM and Global Climate Models. The models were calibrated using 2 years of field data in Texas. Climate change scenario models were used to predict the impact of future climate change on Texas maize yield. While there was a wide range of potential outcomes, most suggest maize yield will be at least 75% of historical yield.
Technical Abstract: Investigating the agronomic responses of dryland maize (Zea mays L.) systems under global change could provide important insights in designing climate-resilient cropping systems. In this study, we integrated APSIM with Representative Concentration Pathways 8.5 and 20 Global Climate Models to systematically (i) calibrate APSIM based on large-field two-year study conducted in the East-Central Texas; (ii) evaluate the impacts of climate change on maize productivity and risks; (iii) investigate the variations in growth stage lengths. Results indicated that APSIM simulated grain yield, biomass production, precipitation productivity (PP) and developmental stage transition agreed well with observation (R2 > 0.84, P < 0.01, < 5-day deviation). Compared to baseline data, the median predicted grain yield varied from -2307 to +737 kg ha-1, and mean PP improved 9.2%–36.5% under future projection, implying high potential water productivity. Grain production should at least maintain the standard of 75% of historical seasons in most cases, but also incur greater climate risk for higher threshold (50% of baseline production). Finally, future scenarios projected shortened days (4–13 d) for reaching key stages. The results advocate adoption of management practices and cultivar selection extending growing season, enhancing soil water storage in the future to achieve better sustainability.