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Wu P, Wang Y, Li Y, Yu H, Shao J, Zhao Z, Qiao Y, Liu C, Liu S, Gao C, Guan X, Wen P, Wang T. Optimizing irrigation strategies for sustainable crop productivity and reduced groundwater consumption in a winter wheat-maize rotation system. J Environ Manage 2023; 348:119469. [PMID: 37924695 DOI: 10.1016/j.jenvman.2023.119469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/08/2023] [Accepted: 10/24/2023] [Indexed: 11/06/2023]
Abstract
Inefficient irrigation practices have hindered crop yields, wasted irrigation water resources, and posed threats to groundwater levels and agricultural sustainability. This study evaluated different irrigation strategies for a winter wheat-summer maize rotation system to identify sustainable practices for maintaining yields while reducing groundwater depletion. A two-year field experiment was conducted, implementing three optimized irrigation strategies during the winter wheat season: I-4 (irrigated until the soil water content (SWC) of the 40 cm soil layer reaches 60% of field capacity (FC), I-6 (irrigated until the SWC of the 60 cm soil layer reaches 80% FC), and a rainfed (R) as control. Irrigation was repeated when the SWC dropped to the specified level. No irrigation level was used during the summer maize season, except for irrigation after sowing that ensuring the normal emergence of maize. WHCNS (Water Heat Carbon Nitrogen Simulator) model was developed to simulate soil water dynamics, field water consumption, and yield of both crops. The result indicated WHCNS model accurately simulated water dynamics, consumption, and grain yield. Compared to R treatment, the I-4 treatment significantly increased annual crop yield by 19.83%-28.65% (p < 0.05), while maintaining similar crop water productivity. Furthermore, the I-4 treatment achieved comparable yields to the I-6 treatment, but with a 33.91% reduction in irrigation water use, resulting in a 33.46% increase in crop water productivity and a 90.53% increase in irrigation water productivity. From a sustainable perspective, the I-4 treatment effectively reduced field water losses and maintained relatively high soil water storage, particularly in the topsoil, which was beneficial for the early growth of subsequent crops. The R treatment greatly contributed to groundwater recharge when precipitation was sufficient, while it led to severe yield losses. Overall, under the condition of annual rotation planting systems, the I-4 treatment sustainably maintained yields with less irrigation, decreasing groundwater consumption. This approach could conserve regional water resources and groundwater table while upholding agricultural productivity and achieving system sustainable water use.
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Affiliation(s)
- Pengnian Wu
- College of Resources and Environment, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Yanli Wang
- College of Resources and Environment, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Yuming Li
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Haolin Yu
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Jing Shao
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Zhiheng Zhao
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Yibo Qiao
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Changshuo Liu
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Shuimiao Liu
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Chenkai Gao
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Xiaokang Guan
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Pengfei Wen
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Tongchao Wang
- College of Resources and Environment, Henan Agricultural University, Zhengzhou, Henan, 450046, China; College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
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Ren H, Zhang F, Zhu X, Lamlom SF, Liu X, Wang X, Zhao K, Wang J, Sun M, Yuan M, Gao Y, Wang J, Zhang B. Cultivation model and deficit irrigation strategy for reducing leakage of bundle sheath cells to CO 2, improve 13C carbon isotope, photosynthesis and soybean yield in semi-arid areas. J Plant Physiol 2023; 285:153979. [PMID: 37086696 DOI: 10.1016/j.jplph.2023.153979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/24/2023] [Accepted: 03/31/2023] [Indexed: 05/03/2023]
Abstract
A better understanding of the photosynthesis and soil water storage regulation of soybean production will be helpful to develop a water conservation strategy under a rain-fed farming system. Reducing the leakage of CO2 bundle sheath cells and improving the photosynthesis capacity and gas exchange characteristics of soybean leaves will contribute to increase yield under the dryland agricultural system and provide a scientific basis. Therefore, during 2019 and 2020, soybean exposed to different cultivation modes to analyze the response curves of photosynthesis and CO2 under different deficit irrigation strategies. In this study, we used two cultivation models: RB: ridge covered with biodegradable film and furrow area not covered; CF: conventional flat land planting under four deficit irrigation modes (R: rainwater irrigation; IB: branch stage irrigation (220 mm); IP: Irrigation during podding (220 mm); IBP: branch stage irrigation (110 mm), podding stage irrigation (110 mm). Compared with CF-IBP treatment, RB-IBP had significant effects on rainwater collection, SWS, and soybean yield. Photo-response curve analysis showed that RB-IBP treatment a significant increase in Pn, Gs, Ci, Tr, leaf WUE, and chlorophyll ab content. Under different irrigation strategies, maximum net photosynthetic rate (Pnmax), light saturation point (LSP), and apparent quantum efficiency under RB-IBP treatment (α), Pn under respiration rate and CO2 response curve were significantly higher than that under CF cultivation mode. Compared with RB culture mode under different irrigation strategies, CF cultivation mode significantly increases Δ13C and CO2 sheath cell leakage (Փ); it also led to a significant decline in the ratio of Ci/Ca concentration. This study shows that RB-IBP treatment is the best water-saving strategy because it means reducing the leakage of CO2 from the bundle sheath, thus significantly increasing soil water storage, photosynthetic capacity, and soybean yield.
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Affiliation(s)
- Honglei Ren
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China
| | - Fengyi Zhang
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China
| | - Xiao Zhu
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China; Heilongjiang University, Harbin, 150086, China
| | - Sobhi F Lamlom
- Plant Production Department, Faculty of Agriculture Saba Basha, Alexandria University, Alexandria, 21531, Egypt
| | - Xiulin Liu
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China
| | - Xueyang Wang
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China
| | - Kezhen Zhao
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China
| | - Jinsheng Wang
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China
| | - Mingming Sun
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China
| | - Ming Yuan
- Qiqihar Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihar, 161006, China
| | - Yuan Gao
- Heilongjiang Seed Industry Technical Service Center, Harbin, 150080, China
| | - Jiajun Wang
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China.
| | - Bixian Zhang
- Soybean Research Institute, Heilongjiang Academy of Agriculture Sciences / Key Laboratory of Soybean Cultivation, Ministry of Agriculture and Rural Affairs /Heilongjiang Provincial Key Laboratory of Soybean Cultivation, Harbin, 150086, China.
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Sezen SM, Ahmad I, Habib-Ur-Rahman M, Amiri E, Tekin S, Oz KC, Maambo CM. Growth and productivity assessments of peanut under different irrigation water management practices using CSM-CROPGRO-Peanut model in Eastern Mediterranean of Turkey. Environ Sci Pollut Res Int 2022; 29:26936-26949. [PMID: 34862582 PMCID: PMC8989867 DOI: 10.1007/s11356-021-17722-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 11/19/2021] [Indexed: 05/27/2023]
Abstract
Irrigation water scheduling is crucial to make the most efficient use of ever-decreasing water. As excessive irrigation decreases yield, while imprecise application also causes various environmental issues. Therefore, efficient management of irrigation frequency and irrigation level is necessary to sustain productivity under limited water conditions. The objective of the current study is to assess the water productivity at various irrigation regimes during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey. The field experiments were conducted with treatments consisting of three irrigation frequencies (IF) (IF1: 25 mm; IF2: 50 mm; and IF3: 75 mm of cumulative pan evaporation (CPE)), and four irrigation water levels (WL1 = 0.50, WL2 = 0.75, WL3 = 1.0, and WL4 = 1.25). WL1, WL2, WL3, and WL4 treatments received 50, 75, 100, and 125 of cumulative pan evaporation. The CSM-CROPGRO-Peanut model was calibrated with experimental data in 2014 and evaluated with second-year experimental data (2015). The model simulated seed yield and final biomass (dry matter) reasonably well with low normalized root mean square error (RMSEn) in various irrigation intervals. The model simulated reasonably well for days to anthesis (RMSE = 2.53, d-stat = 0.96, and r2 = 0.90), days to physiological maturity (RMSE = 2.55), seed yield (RMSE = 1504), and tops biomass dry weight at maturity (RMSE = 3716). Simulation results indicated good agreement between measured and simulated soil water content (SWC) with low RMSEn values (4.0 to 16.8% in 2014 and 4.3 to 18.2% in 2015). Further results showed that IF2I125 irrigation regime produced the highest seed yield. Generally, model evaluation performed reasonably well for all studied parameters with both years' experimental data. Results also showed that the crop model would be a precision agriculture tool for the extrapolation of the allocation of irrigation water resources and decision management under current and future climate.
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Affiliation(s)
- Semih Metin Sezen
- Department of Irrigation and Agricultural Structures, Faculty of Agriculture, Cukurova University, 01330, Adana, Turkey.
| | - Ishfaq Ahmad
- Resilient Agriculture Department, Asian Disaster Preparedness Center (ADPC), Bangladesh, Pakistan
| | - Muhammad Habib-Ur-Rahman
- Institute of Crop Science and Resource Conservation (INRES), Crop Science Group, Rheinische Friedrich-Wilhelms-Universität Bonn, Katzenburgweg 5, 53115, Bonn, Germany.
- MNS-University of Agriculture, Multan, Pakistan.
| | - Ebrahim Amiri
- Water Engineering Department, Islamic Azad University, Lahijan, Iran
| | - Servet Tekin
- Department of Biosystems Engineering, Faculty of Agriculture, Kahramanmaras University, 46100, Kahramanmaras, Turkey
| | - Kadir Can Oz
- Department of Irrigation and Agricultural Structures, Faculty of Agriculture, Cukurova University, 01330, Adana, Turkey
| | - Clever Mwika Maambo
- Department of Irrigation and Agricultural Structures, Faculty of Agriculture, Cukurova University, 01330, Adana, Turkey
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Acosta-Motos JR, Rothwell SA, Massam MJ, Albacete A, Zhang H, Dodd IC. Alternate wetting and drying irrigation increases water and phosphorus use efficiency independent of substrate phosphorus status of vegetative rice plants. Plant Physiol Biochem 2020; 155:914-926. [PMID: 32919099 DOI: 10.1016/j.plaphy.2020.06.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 06/08/2020] [Accepted: 06/09/2020] [Indexed: 06/11/2023]
Abstract
Sustainable approaches to rice cultivation that apply less irrigation and chemical fertilisers are required to increase crop resource use efficiency. Although alternate wetting and drying (AWD) has been widely promoted as a water-saving irrigation technique, its interactions with phosphorus (P) nutrition have attracted little attention. Vegetative rice plants were grown with two phosphorus levels, fertilised (HP) or un-fertilised (LP), and either continuous flooding (CF) or AWD irrigation. Treatment effects on substrate P bioavailability (measured by Diffusive Gradients in Thin films - DGT-P), plant and substrate water relations, and foliar phytohormone status, were assessed along with P partitioning in planta. Shoot biomass and leaf area under different irrigation treatments depended on substrate P status (significant P x irrigation interaction), since LP decreased these variables under CF, but had no significant effect on plants grown under AWD. AWD maintained DGT-P concentrations and increased maximal root length, but decreased root P concentrations and P offtake. Substrate drying decreased stomatal conductance (gs) and leaf water potential (Ψleaf) but re-flooding increased gs. AWD increased foliar abscisic acid (ABA), isopentenyl adenine (iP) and 1-aminocyclopropane-1-carboxylic acid (ACC) concentrations, but decreased trans-zeatin (tZ) and gibberellin A1 (GA1) concentrations. Low P increased ACC and jasmonic acid (JA) concentrations but decreased gibberellin A4 (GA4) concentrations. Across all treatments, stomatal conductance was negatively correlated with foliar ABA concentration but positively correlated with GA1 concentration. Changes in shoot phytohormone concentrations were associated with increased water and phosphorus use efficiency (WUE and PUE) of vegetative rice plants grown under AWD.
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Affiliation(s)
- José Ramón Acosta-Motos
- Universidad Católica, San Antonio de Murcia, Campus de los Jerónimos 135, 30107, Guadalupe, Spain; CEBAS-CSIC, Campus Universitario de Espinardo, E-30100, Murcia, Spain.
| | - Shane A Rothwell
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
| | - Margaret J Massam
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
| | - Alfonso Albacete
- CEBAS-CSIC, Campus Universitario de Espinardo, E-30100, Murcia, Spain.
| | - Hao Zhang
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
| | - Ian C Dodd
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
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