Jun 23, 2017 - System for Agro-Technology Transfer Model for Simulating Growth and Yield of Maize in Bangladesh. F. Ahmed1*, Apurba K. Choudhury1, ...
American Journal of Plant Sciences, 2017, 8, 1632-1645 http://www.scirp.org/journal/ajps ISSN Online: 2158-2750 ISSN Print: 2158-2742
Calibration and Validation of Decision Support System for Agro-Technology Transfer Model for Simulating Growth and Yield of Maize in Bangladesh F. Ahmed1*, Apurba K. Choudhury1, S. Akhter1, M. A. Aziz1, Jatish C. Biswas2, M. Maniruzzaman2, M. Main Uddin Miah3, M. M. Rahman3, M. A. H. S. Jahan1, Imrul Mosaddek Ahmed1, R. Sen1, S. Ishtiaque1, A. F. M. Tariqul Islam1, M. M. Haque2, M. Belal Hossain2, Naveen Kalra4, M. Hafijur Rahman1 Bangladesh Agricultural Research Institute, Gazipur, Bangladesh Bangladesh Rice Research Institute, Gazipur, Bangladesh 3 Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh 4 Consultant CRP-II Project, KGF, Dhaka, Bangladesh 1 2
How to cite this paper: Ahmed, F., Choudhury, A.K., Akhter, S., Aziz, M.A., Biswas, J.C., Maniruzzaman, M., Miah, M.M.U., Rahman, M.M., Jahan, M.A.H.S., Ahmed, I.M., Sen, R., Ishtiaque, S., Islam, A.F.M.T., Haque, M.M., Hossain, M.B., Kalra, N. and Rahman, M.H. (2017) Calibration and Validation of Decision Support System for Agro-Technology Transfer Model for Simulating Growth and Yield of Maize in Bangladesh. American Journal of Plant Sciences, 8, 1632-1645. https://doi.org/10.4236/ajps.2017.87113 Received: April 16, 2017 Accepted: June 19, 2017 Published: June 23, 2017 Copyright © 2017 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access
Abstract Maize is an emerging important crop in Bangladesh because of its high yield potential and economic profitability compared to rice and wheat crops. There is a need to understand the growth and yield behavior of this crop in varying production environments of Bangladesh. Crop model such as Decision Support System For Agro-technology Transfer (DSSAT) version 4.6 (DSSAT hereafter) can be utilized cost effectively to study the performances of maize under different production environments. It needs to calibrate and validate DSSAT model for commonly cultivated maize cultivars in Bangladesh and subsequently take the model to various applications, including inputs and agronomic management options and climate change that impacts analyses. So, the present study was undertaken to firstly calibrate DSSAT model for popular four hybrid maize cultivars (BARI Hybrid Maize-7, BARI Hybrid Maize-9, Pioneer 30B07 and NK-40). Subsequently, it proceeded with the validation with independent field data sets for evaluating their growth performances. The genetic coefficients for these cultivars were evaluated by using Genotype coefficient calculator (GENCALC) and Generalized likelihood uncertainty estimation (GLUE) module of DSSAT on the basis of first season experiment. The performance of the model was satisfactory and within the significant limits. After calibration, the model was tested for its performance through valida-
DOI: 10.4236/ajps.2017.87113 June 23, 2017
F. Ahmed et al.
tion procedure by using second season data. The model performed satisfactorily through phenology, biomass, leaf area index (LAI) and grain yield. Phenology, as estimated through days to flower initiation and maturity, was in good agreement, although simulated results were slightly over predicted compared to observed values but within the statistical significance limit (
