Simulation and evaluation of tomato growth by AquaCrop model under different agricultural waste materials  

作　　者：Changquan Zhou Wenju Zhao Haolin Li Feng Ma Keqian Wu 

机构地区：[1]College of Energy and Power Engineering,Lanzhou University of Technology,Lanzhou 730050,China [2]Key Laboratory of Smart Agriculture Irrigation Equipment,Ministry of Agriculture and Rural Affairs,Lanzhou 730050,China [3]College of Civil Engineering,Lanzhou University of Information Science and Technology,Lanzhou 730300,China [4]College of Environmental Science and Energy Engineering,Beijing University of Technology,Beijing 100124,China [5]College of Water Resources and Civil Engineering,China Agricultural University,Beijing 100083,China

出　　处：《International Journal of Agricultural and Biological Engineering》2024年第5期112-119,共8页国际农业与生物工程学报（英文）

基　　金：supported by the National Natural Science Foundation of China(Grant No.52379042);Key R&D plan of Gansu Province(Grant No.23YFFA0019);Gansu Province East-West Cooperation Project(Grant No.23CXNA0025).

摘　　要：This study aimed to enhance the utilization of agricultural waste and identify the most suitable agricultural waste materials for tomato cultivation. It utilized a locally modified substrate labeled as CK, along with five different groups of agricultural waste materials, designated as T1 (organic fertilizer: loessial soil: straw in a ratio of 4:5:1), T2 (organic fertilizer: loessial soil: straw: grains in a ratio of 3:5:1:1), T3 (organic fertilizer: loessial soil: straw: grains in a ratio of 2:5:1:2), T4 (organic fertilizer:loessial soil:straw:grains in a ratio of 1:5:1:3), and T5 ( loessial soil:straw:grains in a ratio of 5:1:4), the AquaCrop model was employed to validate soil water content and tomato growth and yield under these treatments. Furthermore, a multi-objective genetic algorithm was employed to determine the optimal agricultural waste materials that would ensure maximum tomato yield, water use efficiency (WUE), partial factor productivity of fertilizer (PFP) and sugar-acid ratio. The results indicated that the AquaCrop model reasonably simulated volumetric soil water content, tomato canopy cover, and biomass, with root mean square error (RMSE) ranges of 20.0-69.4 mm, 15.2%-25.1%, and 1.093-3.469 t/hm2, respectively. The CK group exhibited an R-squared (R2) value of 0.63 for volumetric soil water contents, while the ratio scenarios showed R2 values exceeding 0.80. The multi-objective genetic optimization algorithm identified T5 as the optimal ratio scenario, resulting in maximum tomato yield, WUE, PFP, and quality. This study offers a theoretical foundation for the efficient utilization of agricultural wastes and the production of high-quality fruits and vegetables.

关 键 词：agricultural waste materials AquaCrop model NSGA-II algorithm TOMATO QUALITY 

分 类 号：S641.2[农业科学—蔬菜学]