{"title":"Optimal land allocation and irrigation scheduling to maximize the economic utility","authors":"","doi":"10.1007/s42106-024-00283-6","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>Attaining sustainable agriculture requires water consumption management. A water allocation optimization model was developed for the Moghan irrigation network (northwest of Iran) based on the AquaCrop plug-in model. The genetic algorithm was applied to optimize water allocation for five main crops, including wheat, first-cultivation maize, second-cultivation maize, soybeans, and alfalfa. The heuristic economic utility (<em>EU)</em> function was used as the objective function to optimize water allocation. In this function, drained water salinity was applied as a penalty factor to the total benefit, and soil salinity deterioration due to irrigation was also considered as a factor in each crop’s benefit. The results showed that the optimal allocated water depth was 17% less than the normal water consumption. Moreover, the application of soil water salinity coefficients did not affect the ratio of <em>EU</em> to <em>EB</em> (economic benefits) for wheat and alfalfa. However, first-cultivation maize, second-cultivation maize, and soybeans cultivation led to a reduction in <em>EU</em> within the study area. A combination of the crops cultivation led to a change in river water quality and an 8.2% reduction in the ratio of <em>EU</em> to <em>EB</em> function.</p>","PeriodicalId":54947,"journal":{"name":"International Journal of Plant Production","volume":"176 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Plant Production","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s42106-024-00283-6","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Attaining sustainable agriculture requires water consumption management. A water allocation optimization model was developed for the Moghan irrigation network (northwest of Iran) based on the AquaCrop plug-in model. The genetic algorithm was applied to optimize water allocation for five main crops, including wheat, first-cultivation maize, second-cultivation maize, soybeans, and alfalfa. The heuristic economic utility (EU) function was used as the objective function to optimize water allocation. In this function, drained water salinity was applied as a penalty factor to the total benefit, and soil salinity deterioration due to irrigation was also considered as a factor in each crop’s benefit. The results showed that the optimal allocated water depth was 17% less than the normal water consumption. Moreover, the application of soil water salinity coefficients did not affect the ratio of EU to EB (economic benefits) for wheat and alfalfa. However, first-cultivation maize, second-cultivation maize, and soybeans cultivation led to a reduction in EU within the study area. A combination of the crops cultivation led to a change in river water quality and an 8.2% reduction in the ratio of EU to EB function.
期刊介绍：
IJPP publishes original research papers and review papers related to physiology, ecology and production of field crops and forages at field, farm and landscape level. Preferred topics are: (1) yield gap in cropping systems: estimation, causes and closing measures, (2) ecological intensification of plant production, (3) improvement of water and nutrients management in plant production systems, (4) environmental impact of plant production, (5) climate change and plant production, and (6) responses of plant communities to extreme weather conditions.
Please note that IJPP does not publish papers with a background in genetics and plant breeding, plant molecular biology, plant biotechnology, as well as soil science, meteorology, product process and post-harvest management unless they are strongly related to plant production under field conditions.
Papers based on limited data or of local importance, and results from routine experiments will not normally be considered for publication. Field experiments should include at least two years and/or two environments. Papers on plants other than field crops and forages, and papers based on controlled-environment experiments will not be considered.
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