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Chinese Journal of Applied Ecology ›› 2019, Vol. 30 ›› Issue (12): 4222-4230.doi: 10.13287/j.1001-9332.201912.013

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Potential distribution and suitability regionalization of kiwifruit canker disease in Sichuan Province, China

WANG Ru-lin1,2,3, GUO Xiang4, LI Qing3, WANG Ming-tian1,5,6*, YOU Chao4   

  1. 1Chengdu Institute of Plateau Meteorology, China Meteorology Administration/Sichuan Pro-vince Key Laboratory of Heavy Rain and Drought-Flood Disasters in Plateau and Basin, Chengdu 610072, China;
    2Sichuan Provincial Rural Economic Information Center, Chengdu 610072, China;
    3College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China;
    4Sichuan Province Agro-meteorological Center, Chengdu 610072, China;
    5Sichuan Meteorological Observatory, Chengdu 610072, China;
    6Sichuan Province Key Laboratory of Water-Saving Agriculture in Southern Hill Area, Chengdu 610066, China
  • Received:2019-03-18 Online:2019-12-15 Published:2019-12-15
  • Contact: * E-mail: wangmt0514@163.com
  • Supported by:
    This work was supported by the Scientific and Technological Development Foundation of Sichuan Province Key Laboratory of Heavy Rain and Drought-Flood Disasters in Plateau and Basin (Key Laboratory of Sichuan Province-2018-Key-05-11) and the Modern Agricultural Industry Technology System of Sichuan Innovation Team

Abstract: To detect the suitability of kiwifruit bacterial canker in Sichuan, a MaxEnt model based on distribution information and environmental variables was used to predict its potential distribution area and to analyze the impact of major environmental variables. The receiver operating characteristic curve was used to evaluate the accuracy of the model simulation. The average area under curve of 10 replicates was 0.914, which indicated that the predictive results were reliable. The highly sui-table distribution areas of kiwifruit bacterial canker were Chengdu, Deyang, Mianyang, Guangyuan, Bazhong, Dazhou, and Ya’an. All the 21 cities of Sichuan were classified as moderately suitable areas. The main environmental factors affecting the potential distribution of kiwifruit bacterial canker as determined by Jackknife method were minimum temperature of coldest month (-6.8-7.5 ℃), mean temperature of warmest Quarter (15.6-32.3 ℃), mean temperature of driest quarter (-0.8-21 ℃), annual precipitation (709-950.9 mm), and standard variation of temperature seasonality (4.7-9.6 ℃). Our results are impotant for early monitoring, early warning, and developing control measures for kiwifruit bacterial canker.