Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain
Climate change caused by increasing greenhouse gas (GHG) emissions has led to frequent extreme weather events, which seriously threaten sustainable agricultural production. Therefore, it is essential to optimize proper irrigation management to improve the grain yield, crop water productivity (WPc),...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Agricultural Water Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S037837742300464X |
| _version_ | 1797430043965652992 |
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| author | Faisal Mehmood Guangshuai Wang Sunusi Amin Abubakar Muhammad Zain Shafeeq Ur Rahman Yang Gao Aiwang Duan |
| author_facet | Faisal Mehmood Guangshuai Wang Sunusi Amin Abubakar Muhammad Zain Shafeeq Ur Rahman Yang Gao Aiwang Duan |
| author_sort | Faisal Mehmood |
| collection | DOAJ |
| description | Climate change caused by increasing greenhouse gas (GHG) emissions has led to frequent extreme weather events, which seriously threaten sustainable agricultural production. Therefore, it is essential to optimize proper irrigation management to improve the grain yield, crop water productivity (WPc), economic crop water productivity (EWPc), and lower global warming potential (GWP) and GWP Intensity (GWPI). The effect of irrigation scheduling and irrigation methods on GHG emissions remains largely unknown, even though this knowledge is essential to optimize the irrigation management. To address this knowledge gap, a field experiment was carried out in the North China Plain (NCP) for three winter wheat seasons to measure the influence of different irrigation methods and irrigation scheduling on WPc, EWPc, GWP, and GWPI. Irrigation scheduling including 50%, 60%, and 70% of the field capacity (FC) were kept in the main plots and irrigation methods, including sprinkler, drip, and flood irrigation methods in the sub-plots. The results revealed that relative to sprinkler irrigation at 60% FC, drip irrigation at 60% FC significantly (p < 0.05) improved the yield 4.89–7.52%, WPc 1.0–5.4%, EWPc 1.1–5.49%, lower GWP 7.47–9.34%, and GWPI 10.92–15.23%. Compared with flood irrigation at 60% FC, drip irrigation at 60% FC increased grain yield 5.34–6.81%, WPc 5.65–15.1%, EWPc 5.73–15.12%, lower GWP 10.36–15.16%, and GWPI 16.22–19.40%. Technique for order preference by similarity to an ideal solution (TOPSIS) presented that compared with sprinkler and flood irrigation at 60% FC irrigation scheduling, drip irrigation at 60% FC irrigation scheduling provides the best results for improved the yield, WPc, and EWPc, and optimal balance in GWP and GWPI. Therefore, the irrigation scheduling of 60% FC combined with drip irrigation is suggested for sustained wheat yield, improved WPc and EWPc, and mitigated GWP in the NCP. |
| first_indexed | 2024-03-09T09:21:58Z |
| format | Article |
| id | doaj.art-3d6157d126e543e88beb1c9c15976391 |
| institution | Directory Open Access Journal |
| issn | 1873-2283 |
| language | English |
| last_indexed | 2024-03-09T09:21:58Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj.art-3d6157d126e543e88beb1c9c159763912023-12-02T06:58:42ZengElsevierAgricultural Water Management1873-22832023-12-01290108599Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China PlainFaisal Mehmood0Guangshuai Wang1Sunusi Amin Abubakar2Muhammad Zain3Shafeeq Ur Rahman4Yang Gao5Aiwang Duan6Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs / Farmland Irrigation Research Institute of Chinese Academy of Agricultural Sciences, Xinxiang, Henan 453002, PR China; Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, PR China; Department of Land and Water Management, Faculty of Agricultural Engineering, Sindh Agriculture University, Tandojam 70050, PakistanKey Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs / Farmland Irrigation Research Institute of Chinese Academy of Agricultural Sciences, Xinxiang, Henan 453002, PR China; Correspondence to: Farmland Irrigation Research Institute of Chinese Academy of Agricultural Sciences, Xinxiang, Henan 453002, PR China.Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs / Farmland Irrigation Research Institute of Chinese Academy of Agricultural Sciences, Xinxiang, Henan 453002, PR China; Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, PR ChinaKey Laboratory of Crop Genetics and Physiology of Jiangsu Province, Key Laboratory of Crop Cultivation and Physiology of Jiangsu Province, College of Agriculture, Yangzhou University, Yangzhou 225009, PR ChinaWater Science and Environmental Engineering Research Center, College of Chemical and Environmental Engineering, Shenzhen University, Shenzhen 518060, PR China; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR ChinaKey Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs / Farmland Irrigation Research Institute of Chinese Academy of Agricultural Sciences, Xinxiang, Henan 453002, PR ChinaKey Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs / Farmland Irrigation Research Institute of Chinese Academy of Agricultural Sciences, Xinxiang, Henan 453002, PR ChinaClimate change caused by increasing greenhouse gas (GHG) emissions has led to frequent extreme weather events, which seriously threaten sustainable agricultural production. Therefore, it is essential to optimize proper irrigation management to improve the grain yield, crop water productivity (WPc), economic crop water productivity (EWPc), and lower global warming potential (GWP) and GWP Intensity (GWPI). The effect of irrigation scheduling and irrigation methods on GHG emissions remains largely unknown, even though this knowledge is essential to optimize the irrigation management. To address this knowledge gap, a field experiment was carried out in the North China Plain (NCP) for three winter wheat seasons to measure the influence of different irrigation methods and irrigation scheduling on WPc, EWPc, GWP, and GWPI. Irrigation scheduling including 50%, 60%, and 70% of the field capacity (FC) were kept in the main plots and irrigation methods, including sprinkler, drip, and flood irrigation methods in the sub-plots. The results revealed that relative to sprinkler irrigation at 60% FC, drip irrigation at 60% FC significantly (p < 0.05) improved the yield 4.89–7.52%, WPc 1.0–5.4%, EWPc 1.1–5.49%, lower GWP 7.47–9.34%, and GWPI 10.92–15.23%. Compared with flood irrigation at 60% FC, drip irrigation at 60% FC increased grain yield 5.34–6.81%, WPc 5.65–15.1%, EWPc 5.73–15.12%, lower GWP 10.36–15.16%, and GWPI 16.22–19.40%. Technique for order preference by similarity to an ideal solution (TOPSIS) presented that compared with sprinkler and flood irrigation at 60% FC irrigation scheduling, drip irrigation at 60% FC irrigation scheduling provides the best results for improved the yield, WPc, and EWPc, and optimal balance in GWP and GWPI. Therefore, the irrigation scheduling of 60% FC combined with drip irrigation is suggested for sustained wheat yield, improved WPc and EWPc, and mitigated GWP in the NCP.http://www.sciencedirect.com/science/article/pii/S037837742300464XIrrigation managementClimate changeGlobal warming potentialCrop Water Productivity (WPc)North China Plain (NCP)TOPSIS method |
| spellingShingle | Faisal Mehmood Guangshuai Wang Sunusi Amin Abubakar Muhammad Zain Shafeeq Ur Rahman Yang Gao Aiwang Duan Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain Agricultural Water Management Irrigation management Climate change Global warming potential Crop Water Productivity (WPc) North China Plain (NCP) TOPSIS method |
| title | Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain |
| title_full | Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain |
| title_fullStr | Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain |
| title_full_unstemmed | Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain |
| title_short | Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain |
| title_sort | optimizing irrigation management sustained grain yield crop water productivity and mitigated greenhouse gas emissions from the winter wheat field in north china plain |
| topic | Irrigation management Climate change Global warming potential Crop Water Productivity (WPc) North China Plain (NCP) TOPSIS method |
| url | http://www.sciencedirect.com/science/article/pii/S037837742300464X |
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