Due
to the potential impact of climate change and climate variability on rainfed
production systems, both farmers and policy makers will have to rely more on
short- and long-term yield projections. The goal of this study was to develop a
procedure for calibrating the Cropping System Model (CSM)-CROPGRO-Soybean model
for six cultivars, to determine the potential impact of climate change on
rainfed soybean for five locations in Georgia, USA, and to provide
recommendations for potential adaptation strategies for soybean production in
Georgia and other south-eastern states. The Genotype Coefficient Calculator
(GENCALC) software package was applied for calibration of the soybean cultivar
coefficients using variety trial data. The root mean square error (RMSE)
between observed and simulated grain yield ranged from 201 to 413 kg/ha for the
six cultivars. Generally, the future climate scenarios showed an increase in
temperature which caused a decrease in the number of days to maturity for all
varieties and for all locations. This will benefit late-planted soybean
production slightly, while the increase in precipitation and carbon dioxide
(CO2) concentration will result in a yield increase.
Website: http://www.arjonline.org/agricultural-sciences/american-research-journal-of-agriculture/
Website: http://www.arjonline.org/agricultural-sciences/american-research-journal-of-agriculture/
No comments:
Post a Comment