Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments

Decision support systems are key for yield improvement in modern agriculture. Crop models are decision support tools for crop management to increase crop yield and reduce production risks. Decision Support System for Agrotechnology Transfer (DSSAT) and an Agricultural System simulator (APSIM), inter...

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Autores principales:	Aftab Wajid, Khalid Hussain, Ayesha Ilyas, Muhammad Habib-ur-Rahman, Qamar Shakil, Gerrit Hoogenboom
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	model intercomparison rice-wheat cropping system model uncertainty survey data farmer yield model evaluation Agriculture (General) S1-972
Acceso en línea:	https://doaj.org/article/e8399c20a8d84c908d59a8029d72b25b
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id	oai:doaj.org-article:e8399c20a8d84c908d59a8029d72b25b
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spelling	oai:doaj.org-article:e8399c20a8d84c908d59a8029d72b25b2021-11-25T16:01:41ZCrop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments10.3390/agriculture111111662077-0472https://doaj.org/article/e8399c20a8d84c908d59a8029d72b25b2021-11-01T00:00:00Zhttps://www.mdpi.com/2077-0472/11/11/1166https://doaj.org/toc/2077-0472Decision support systems are key for yield improvement in modern agriculture. Crop models are decision support tools for crop management to increase crop yield and reduce production risks. Decision Support System for Agrotechnology Transfer (DSSAT) and an Agricultural System simulator (APSIM), intercomparisons were done to evaluate their performance for wheat simulation. Two-year field experimental data were used for model parameterization. The first year was used for calibration and the second-year data were used for model evaluation and intercomparison. Calibrated models were then evaluated with 155 farmers’ fields surveyed for data in rice-wheat cropping systems. Both models simulated crop phenology, leaf area index (LAI), total dry matter and yield with high goodness of fit to the measured data during both years of evaluation. DSSAT better predicted yield compared to APSIM with a goodness of fit of 64% and 37% during evaluation of 155 farmers’ data. Comparison of individual farmer’s yields showed that the model simulated wheat yield with percent differences (PDs) of −25% to 17% and −26% to 40%, Root Mean Square Errors (<i>RMSE</i>s) of 436 and 592 kg ha<sup>−1</sup> with reasonable d-statistics of 0.87 and 0.72 for DSSAT and APSIM, respectively. Both models were used successfully as decision support system tools for crop improvement under vulnerable environments.Aftab WajidKhalid HussainAyesha IlyasMuhammad Habib-ur-RahmanQamar ShakilGerrit HoogenboomMDPI AGarticlemodel intercomparisonrice-wheat cropping systemmodel uncertaintysurvey datafarmer yieldmodel evaluationAgriculture (General)S1-972ENAgriculture, Vol 11, Iss 1166, p 1166 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	model intercomparison rice-wheat cropping system model uncertainty survey data farmer yield model evaluation Agriculture (General) S1-972
spellingShingle	model intercomparison rice-wheat cropping system model uncertainty survey data farmer yield model evaluation Agriculture (General) S1-972 Aftab Wajid Khalid Hussain Ayesha Ilyas Muhammad Habib-ur-Rahman Qamar Shakil Gerrit Hoogenboom Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments
description	Decision support systems are key for yield improvement in modern agriculture. Crop models are decision support tools for crop management to increase crop yield and reduce production risks. Decision Support System for Agrotechnology Transfer (DSSAT) and an Agricultural System simulator (APSIM), intercomparisons were done to evaluate their performance for wheat simulation. Two-year field experimental data were used for model parameterization. The first year was used for calibration and the second-year data were used for model evaluation and intercomparison. Calibrated models were then evaluated with 155 farmers’ fields surveyed for data in rice-wheat cropping systems. Both models simulated crop phenology, leaf area index (LAI), total dry matter and yield with high goodness of fit to the measured data during both years of evaluation. DSSAT better predicted yield compared to APSIM with a goodness of fit of 64% and 37% during evaluation of 155 farmers’ data. Comparison of individual farmer’s yields showed that the model simulated wheat yield with percent differences (PDs) of −25% to 17% and −26% to 40%, Root Mean Square Errors (<i>RMSE</i>s) of 436 and 592 kg ha<sup>−1</sup> with reasonable d-statistics of 0.87 and 0.72 for DSSAT and APSIM, respectively. Both models were used successfully as decision support system tools for crop improvement under vulnerable environments.
format	article
author	Aftab Wajid Khalid Hussain Ayesha Ilyas Muhammad Habib-ur-Rahman Qamar Shakil Gerrit Hoogenboom
author_facet	Aftab Wajid Khalid Hussain Ayesha Ilyas Muhammad Habib-ur-Rahman Qamar Shakil Gerrit Hoogenboom
author_sort	Aftab Wajid
title	Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments
title_short	Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments
title_full	Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments
title_fullStr	Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments
title_full_unstemmed	Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments
title_sort	crop models: important tools in decision support system to manage wheat production under vulnerable environments
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e8399c20a8d84c908d59a8029d72b25b
work_keys_str_mv	AT aftabwajid cropmodelsimportanttoolsindecisionsupportsystemtomanagewheatproductionundervulnerableenvironments AT khalidhussain cropmodelsimportanttoolsindecisionsupportsystemtomanagewheatproductionundervulnerableenvironments AT ayeshailyas cropmodelsimportanttoolsindecisionsupportsystemtomanagewheatproductionundervulnerableenvironments AT muhammadhabiburrahman cropmodelsimportanttoolsindecisionsupportsystemtomanagewheatproductionundervulnerableenvironments AT qamarshakil cropmodelsimportanttoolsindecisionsupportsystemtomanagewheatproductionundervulnerableenvironments AT gerrithoogenboom cropmodelsimportanttoolsindecisionsupportsystemtomanagewheatproductionundervulnerableenvironments
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Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments

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