A Study of Spatial Ditribution Patterns for the Kiwifruit Canker Disease in “Hayward” Kiwifruit Fields

WANG Ru-lin; LIU Yuan; LUO Jia-dong; WEN Gang; WANG Ming-tian; Li Qing

doi:10.16779/j.cnki.1003-5508.2019.01.017

In order to find out the distribution of kiwifruit canker disease in the field,the spatial distribution pattern of the disease was determined by classical aggregation index method and regression analysis method in this study.The results showed that canker-diseased kiwifruit plants showed aggregation distribution in the field,and the basic form of distribution was individual population.The optimum theoretical and sequential sampling numbers were calculated respectively for field sampling of Kiwifruit canker disease,and the optimum sampling square size was determined.The efficiency of investigation sampling was effectively improved through the above research courses,thus providing reference for the prevention of this disense.

Chengdu Institute of Plateau Meteorological, China Meteorology Administration/Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China;Sichuan Provincial Rural Economic Information Center, Chengdu 610072, China;College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China;Kiwifruit Institue of Cangxi County, Cangxi 628400, China;Bureau of Agriculture of Yibin City, Yibin 644000, China

Received Date: 2018-09-12

Key words:

Abstract: In order to find out the distribution of kiwifruit canker disease in the field,the spatial distribution pattern of the disease was determined by classical aggregation index method and regression analysis method in this study.The results showed that canker-diseased kiwifruit plants showed aggregation distribution in the field,and the basic form of distribution was individual population.The optimum theoretical and sequential sampling numbers were calculated respectively for field sampling of Kiwifruit canker disease,and the optimum sampling square size was determined.The efficiency of investigation sampling was effectively improved through the above research courses,thus providing reference for the prevention of this disense.

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Reference (8)

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[1]	张慧琴,李和孟,冯健君,等.浙江省猕猴桃溃疡病发病现状调查及影响因子分析[J].浙江农业学报,2013,25(4):832~835.
[2]
[3]	刘波,朱育菁,肖荣凤,等.西瓜枯萎病病株空间分布格局及其抽样技术[J].生态学报,2004,24(9):2043~2049.
[4]	刘磊,梁昌聪,曾迪,等.香蕉枯萎病田间分布型及病原菌在植株上的分布[J].生态学报,2015,35(14):4742~4753.
[5]	Iwao S.Application of the m*-m method to the analysis of spatial patterns by changing the quadrat sizemethod to the analysis of spatial patterns by changing the quadrat size[J].Researches on Population Ecology,1972,14(1):97~128.
[6]	Taylor L R.Aggregation,Variance and the Mean[J].Nature,1961,189(4766):732~735.
[7]	Iwao S.A new regression method for analyzing the aggregation pattern of animal populations[J].Researches on Population Ecology,1968,10(1):1~20.
[8]	Iwao S.An approach to the analysis of aggregation pattern in biological populations[J].Statistical Ecology,1971,1(953):269~275.

A Study of Spatial Ditribution Patterns for the Kiwifruit Canker Disease in “Hayward” Kiwifruit Fields

doi: 10.16779/j.cnki.1003-5508.2019.01.017

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