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Decision-making method for maize irrigation in supplementary irrigation areas based on the DSSAT model and a genetic algorithm by Yue Wang; Kongtao Jiang; Hongzheng Shen; Nan Wang; Ruizhe Liu; Jiujiang Wu; Xiaoyi Ma is a Agricultural and Biological Sciences article available to read on EtoBox.

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Supplementary irrigation area in north China is an important agricultural production area, but water shortages have limited the agricultural production considerably. Irrigation is required to ensure crop yield during growth seasons with variable rainfall. Most irrigation schedules are based on typical meteorological years. However, it is very difficult to predict the meteorological information of irrigation year in advance, which limits the planning of irrigation schedules. Therefore, taking the central part of Shanxi Province (supplementary irrigation area) as an example, this study focuses on the optimal irrigation decision-making method of supplementary irrigation area. The irrigation schedule of summer maize from 1970 to 2020 was firstly optimized by using DSSAT model and genetic algorithm. On this basis, a decision-making method based on the ratio of cumulative rainfall to cumulative ETc between plantation date to the current date to determine the irrigation time is developed. The results indicated that using P/ETc (the ratio of cumulative rainfall to cumulative crop water requirement) as the criterion leads to superior decision-making. Two supplementary irrigation events can

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Author

Yue Wang; Kongtao Jiang; Hongzheng Shen; Nan Wang; Ruizhe Liu; Jiujiang Wu; Xiaoyi Ma

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Agricultural and Biological Sciences (Physical Sciences)