Adaptability evaluation of main maize varieties in the Loess Plateau based on TOPSIS-AISM model
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DOI:10.7606/j.issn.1000-7601.2025.01.01
Key Words: maize varieties  adaptability evaluation  adversarial interpretive structure modeling (AISM)  technique for order preference by similarity to ideal solution (TOPSIS)  Loess Plateau
Author NameAffiliation
LI Shuai College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China 
CHEN Yafei College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China 
WANG Hui College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China 
XU Jili College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China 
WANG Shiwen College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China
College of Soil and Water Conservation Science and Engineering
Northwest A&F University Yangling, Shaanxi 712100China State Key Laboratory of Soil Erosion and Farming on the Loess Plateau Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China 
SUN Xiaoyu College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China 
SUN Qiuyu College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China 
YIN Lina College of Resource and EnvironmentNorthwest A&F University Yangling, Shaanxi 712100China
College of Soil and Water Conservation Science and Engineering
Northwest A&F University Yangling, Shaanxi 712100China State Key Laboratory of Soil Erosion and Farming on the Loess Plateau Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China 
DENG Xiping College of Soil and Water Conservation Science and Engineering Northwest A&F University Yangling, Shaanxi 712100China State Key Laboratory of Soil Erosion and Farming on the Loess Plateau Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China 
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Abstract:
      To establish an adaptive evaluation system for maize varieties and select superior cultivars suited to the climatic conditions of the Loess Plateau region, this study comparatively analyzed the yield and ear traits of 50 major maize varieties promoted in the Loess Plateau under two different precipitation scenarios using field experiments conducted in 2022 and 2023. Based on the experimental data from 2023, which corresponds to the climatic characteristics of the Loess Plateau, eleven indicators were identified across three categories: high yield, lodging resistance, and high efficiency. Pearson correlation analysis was conducted to determine the interrelationships among the indicators, and the CRITIC method was used to establish their respective weights. The TOPSIS-AISM model was then utilized to rank the performance of each variety. The results indicated that the lower degree of coupling between crop water demand and precipitation from the jointing to tasseling stages led to a decrease in the average values of maize yield, ear diameter, and ear weight, while the coefficient of variation for yield increased and that for hundred\|grain weight decreased. The TOPSIS-AISM analysis identified ‘Shaanke No. 6’, ‘Denghai 605’, and ‘Zhengda 12’ as the stable superior varieties. The main maize varieties promoted in the Loess Plateau showed a sensitive response to precipitation conditions from the jointing to tasseling stages, establishing water use efficiency and the coupling coefficient between precipitation and crop water demand as key indicators for evaluating the adaptability of maize varieties in the region. Furthermore, the combined TOPSIS-AISM method demonstrated greater objectivity and generality compared to traditional TOPSIS, with stable ranking results that can be effectively applied to variety evaluation and promotion.