A methodology for linking spatially interpolated climate surfaces with crop growth simulation models
2001
Collis, S.N. | Corbett, J.D. (Blacklands Research Center, Texas (USA). Texas Agricultural Experiment Station)
When linked to spatial data, a crop simulation model can characterize the adaptation of germplasm or management practices, providing detailed information unavailable except through expensive field trials. We used the Decision Support System for Agrotechnology Transfer (DSSAT) CERES-Maize crop simulation model to synthesize the available geo-referenced soil and climate databases. Spatially interpolated climate surfaces, a growing season model generated from those surfaces, and spatial soils layers were used as inputs into the CERES-Maize sequence simulation model to simulate 30 years of yield for two maize cultivars in East Africa. We were unable to acquire robust genetic coefficients for all tropical maize adaptation zones nor reliable soil profiles appropriate, but our limited results suggest this approach will serve to delineate adaptation zones.
Показать больше [+] Меньше [-]