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Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model
The DSSAT model, integrated the calibrated Hargreaves ET model and dynamic crop coefficient, was run with the generated weather data by SDSM4.2 and CanESM2 to predict the potential yield and crop water requirement (ET(C)) of winter wheat in the Huang-Huai-Hai Plain in China under RCP4.5 and RCP8.5 s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194068/ https://www.ncbi.nlm.nih.gov/pubmed/30337584 http://dx.doi.org/10.1038/s41598-018-32980-4 |
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author | Tang, Xiaopei Song, Ni Chen, Zhifang Wang, Jinglei He, Jianqiang |
author_facet | Tang, Xiaopei Song, Ni Chen, Zhifang Wang, Jinglei He, Jianqiang |
author_sort | Tang, Xiaopei |
collection | PubMed |
description | The DSSAT model, integrated the calibrated Hargreaves ET model and dynamic crop coefficient, was run with the generated weather data by SDSM4.2 and CanESM2 to predict the potential yield and crop water requirement (ET(C)) of winter wheat in the Huang-Huai-Hai Plain in China under RCP4.5 and RCP8.5 scenarios. The results showed that the spatial distribution of potential yield in the future under RCP4.5 and RCP8.5 were similar, characterized by an increasing trend from the northwest inland to the southeast coast. The spatial distribution of ET(C) decreased gradually from the Shandong Peninsula to the surrounding area, and the minimum ET(C) was observed in the southern part of Huang-Huai-Hai Plain. The potential yield, ET(C,) and effective precipitation during winter wheat growing seasons might increase in the future under RCP4.5, while irrigation water requirements (IWR) would decrease. Under RCP8.5, the effective precipitation during the wheat growing seasons decreased first and then increased. However, the potential yield, ET(C), and IWR of winter wheat increased first and then decreased. This study can provide some scientific evidence to mitigate the negative effects of climate change on agricultural production and water use in the Huang-Huai-Hai Plain. |
format | Online Article Text |
id | pubmed-6194068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61940682018-10-24 Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model Tang, Xiaopei Song, Ni Chen, Zhifang Wang, Jinglei He, Jianqiang Sci Rep Article The DSSAT model, integrated the calibrated Hargreaves ET model and dynamic crop coefficient, was run with the generated weather data by SDSM4.2 and CanESM2 to predict the potential yield and crop water requirement (ET(C)) of winter wheat in the Huang-Huai-Hai Plain in China under RCP4.5 and RCP8.5 scenarios. The results showed that the spatial distribution of potential yield in the future under RCP4.5 and RCP8.5 were similar, characterized by an increasing trend from the northwest inland to the southeast coast. The spatial distribution of ET(C) decreased gradually from the Shandong Peninsula to the surrounding area, and the minimum ET(C) was observed in the southern part of Huang-Huai-Hai Plain. The potential yield, ET(C,) and effective precipitation during winter wheat growing seasons might increase in the future under RCP4.5, while irrigation water requirements (IWR) would decrease. Under RCP8.5, the effective precipitation during the wheat growing seasons decreased first and then increased. However, the potential yield, ET(C), and IWR of winter wheat increased first and then decreased. This study can provide some scientific evidence to mitigate the negative effects of climate change on agricultural production and water use in the Huang-Huai-Hai Plain. Nature Publishing Group UK 2018-10-18 /pmc/articles/PMC6194068/ /pubmed/30337584 http://dx.doi.org/10.1038/s41598-018-32980-4 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tang, Xiaopei Song, Ni Chen, Zhifang Wang, Jinglei He, Jianqiang Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model |
title | Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model |
title_full | Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model |
title_fullStr | Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model |
title_full_unstemmed | Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model |
title_short | Estimating the potential yield and ET(c) of winter wheat across Huang-Huai-Hai Plain in the future with the modified DSSAT model |
title_sort | estimating the potential yield and et(c) of winter wheat across huang-huai-hai plain in the future with the modified dssat model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194068/ https://www.ncbi.nlm.nih.gov/pubmed/30337584 http://dx.doi.org/10.1038/s41598-018-32980-4 |
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