Determination of complementary irrigation times for rainfed cultivation based on biomass optimization and soil erosion index in Yellow River Valley

Author:

Li Xiaodan12,Huang Xin2,Zhang Xiaoning1,Nian Lili1,Yan Peijie3,Liu Xingyu1,Liu Xuelu3

Affiliation:

1. a College of Forestry, Gansu Agricultural University, Lanzhou, Gansu 730070, China

2. b College of Management, Gansu Agricultural University, Lanzhou, Gansu 730070, China

3. c College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou, Gansu 730070, China

Abstract

Abstract Drought is the most important factor limiting the growth and production of wheat in China. Arid and semi-arid regions and high water consumption in the agricultural sector have led to various deficit irrigation strategies. The effect of the hydrological process on yield production has been evaluated in rainfed cultivation of wheat for the three climatic stations of Gansu Province, Yellow River Valley, China. A general framework was provided for rainfed cultivation of wheat in arid and semi-arid regions. Moreover, the best time and amount of complementary irrigation and its effect on increasing yield production have been evaluated using grey wolf optimization algorithm. The results showed that rainfed cultivation of wheat in a humid regime could be suggested without complementary irrigation. Conducting two complementary irrigations in semi-humid regime can increase the final yield of wheat by more than 150 kg/ha. The maximum yields in sustainable management were obtained 4,844, 4,510, and 4,408 kg/ha for Longnan, Tianshui, and Dingxi, respectively.

Funder

Self-initiated Project of Gansu Agricultural University

Publisher

IWA Publishing

Subject

Water Science and Technology

Reference36 articles.

1. Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements

2. A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

3. Validation and testing of AquaCrop under farmers management;Arvaneh,2011

4. Prediction of hydropower generation using grey wolf optimization adaptive neuro-fuzzy inference system;Dehghani;Energies,2019

5. Selective Opposition based Grey Wolf Optimization

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