Crop simulation models are often used to characterize, develop and assess field crop production practices. The present study was carried out to estimate the yield of maize under Ariyalur and Perambalur districts. A method has been developed to use DSSAT (Decision Support System for Agro-technology Transfer) models to estimate maize yield spatially. In this study, one of the DSSAT crop simulation model, CERES-Maize was employed to estimate maize yield during kharif 2017 under Ariyalur and Perambalur districts. To simulate the yield, DSSAT required datasets of crop growth and management, daily weather data and soil data. The simulated yield was validated using the observed data from farmers’ fields. The agreement between DSSAT simulated and observed yield was 90.4 per cent with R2 and RMSE of 0.502 and 538.6 kg ha-1 respectively. These results indicate that maize yield can be estimated spatially using the DSSAT crop simulation model.
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Tamil Nadu Agricultural University
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Tamil Nadu, India.
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Madras Agricultural Journal (MAJ)
Madras Agricultural Students Union
Tamil Nadu Agricultural University
Coimbatore - 641
003
Tamil Nadu, India.
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