Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain
Abstract: Crop modelling can facilitate researchers' ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4.6 (DSSAT) model together with the CENTURT soil model were employed to investigate...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2017-10-01
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| Series: | Journal of Integrative Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311917616782 |
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| author | Hai-long LIU Hong-bin LIU Qiu-liang LEI Li-mei ZHAI Hong-yuan WANG Ji-zong ZHANG Ye-ping ZHU Sheng-ping LIU Shi-juan LI Jing-suo ZHANG Xiao-xia LIU |
| author_facet | Hai-long LIU Hong-bin LIU Qiu-liang LEI Li-mei ZHAI Hong-yuan WANG Ji-zong ZHANG Ye-ping ZHU Sheng-ping LIU Shi-juan LI Jing-suo ZHANG Xiao-xia LIU |
| author_sort | Hai-long LIU |
| collection | DOAJ |
| description | Abstract: Crop modelling can facilitate researchers' ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4.6 (DSSAT) model together with the CENTURT soil model were employed to investigate the effect of low nitrogen (N) input on wheat (Triticum aestivum L.) yield, grain N concentration and soil organic carbon (SOC) in a long-term experiment (19 years) under a wheat-maize (Zea mays L.) rotation at Changping, Beijing, China. There were two treatments including N0 (no N application) and N150 (150 kg N ha−1) before wheat and maize planting, with phosphorus (P) and potassium (K) basal fertilizers applied as 75 kg P2O5 ha−1 and 37.5 kg K2O ha−1, respectively. The DSSAT-CENTURY model was able to satisfactorily simulate measured wheat grain yield and grain N concentration at N0, but could not simulate these parameters at N150, or SOC in either N treatment. Model simulation and field measurement showed that N application (N150) increased wheat yield compared to no N application (N0). The results indicated that inorganic fertilizer application at the rates used did not maintain crop yield and SOC levels. It is suggested that if the DSSAT is calibrated carefully, it can be a useful tool for assessing and predicting wheat yield, grain N concentration, and SOC trends under wheat-maize cropping systems. |
| format | Article |
| id | doaj-art-e13d3e32c40d49a8b51f59279ee47367 |
| institution | Matheson Library |
| issn | 2095-3119 |
| language | English |
| publishDate | 2017-10-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-e13d3e32c40d49a8b51f59279ee473672025-08-02T21:35:29ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192017-10-01161023002307Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China PlainHai-long LIU0Hong-bin LIU1Qiu-liang LEI2Li-mei ZHAI3Hong-yuan WANG4Ji-zong ZHANG5Ye-ping ZHU6Sheng-ping LIU7Shi-juan LI8Jing-suo ZHANG9Xiao-xia LIU10Institute of Agricultural information, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, P.R.ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing 100081, P.R.China; Correspondence LIU Hong-binInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing 100081, P.R.ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing 100081, P.R.ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing 100081, P.R.ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing 100081, P.R.ChinaInstitute of Agricultural information, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, P.R.ChinaInstitute of Agricultural information, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, P.R.ChinaInstitute of Agricultural information, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, P.R.ChinaBeijing Municipal Station of Agro-environmental Monitoring, Beijing 100029, P.R.ChinaBeijing Municipal Station of Agro-environmental Monitoring, Beijing 100029, P.R.ChinaAbstract: Crop modelling can facilitate researchers' ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4.6 (DSSAT) model together with the CENTURT soil model were employed to investigate the effect of low nitrogen (N) input on wheat (Triticum aestivum L.) yield, grain N concentration and soil organic carbon (SOC) in a long-term experiment (19 years) under a wheat-maize (Zea mays L.) rotation at Changping, Beijing, China. There were two treatments including N0 (no N application) and N150 (150 kg N ha−1) before wheat and maize planting, with phosphorus (P) and potassium (K) basal fertilizers applied as 75 kg P2O5 ha−1 and 37.5 kg K2O ha−1, respectively. The DSSAT-CENTURY model was able to satisfactorily simulate measured wheat grain yield and grain N concentration at N0, but could not simulate these parameters at N150, or SOC in either N treatment. Model simulation and field measurement showed that N application (N150) increased wheat yield compared to no N application (N0). The results indicated that inorganic fertilizer application at the rates used did not maintain crop yield and SOC levels. It is suggested that if the DSSAT is calibrated carefully, it can be a useful tool for assessing and predicting wheat yield, grain N concentration, and SOC trends under wheat-maize cropping systems.http://www.sciencedirect.com/science/article/pii/S2095311917616782DSSATwheat-maize rotationmodel evaluationlong-term experimentyieldsoil organic carbon |
| spellingShingle | Hai-long LIU Hong-bin LIU Qiu-liang LEI Li-mei ZHAI Hong-yuan WANG Ji-zong ZHANG Ye-ping ZHU Sheng-ping LIU Shi-juan LI Jing-suo ZHANG Xiao-xia LIU Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain Journal of Integrative Agriculture DSSAT wheat-maize rotation model evaluation long-term experiment yield soil organic carbon |
| title | Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain |
| title_full | Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain |
| title_fullStr | Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain |
| title_full_unstemmed | Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain |
| title_short | Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain |
| title_sort | using the dssat model to simulate wheat yield and soil organic carbon under a wheat maize cropping system in the north china plain |
| topic | DSSAT wheat-maize rotation model evaluation long-term experiment yield soil organic carbon |
| url | http://www.sciencedirect.com/science/article/pii/S2095311917616782 |
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