Spatiotemporal distribution of tomato plants naturally infected with leaf mold in commercial greenhouses

被引:3
|
作者
Kawaguchi, A. [1 ]
Suenaga-Kanetani, H. [1 ]
机构
[1] Okayama Prefectural Technol Ctr Agr Forestry & Fi, Inst Agr Res, Akaiwa, Okayama 7090801, Japan
关键词
Spatiotemporal distribution; Tomato leaf mold; Taylor's power law; Iwao's m*-m regression; Epidemiology; SPATIAL-DISTRIBUTION; POPULATIONS;
D O I
10.1007/s10327-014-0539-x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The distribution of tomato plants infected by Passalora fulva, causal agent of leaf mold, was analyzed by using Taylor's model and Iwao's model to assess the patterns of spatial distribution within the greenhouses. In Taylor's model, the sample variance (s (2)) of diseased plants newly recognized at each observation increased only slightly with mean density (m). In Iwao's model, the mean crowding (m*) of newly recognized diseased plants at each observation increased with m of diseased plants. The statistical analysis in this study suggests that new infections in greenhouses observed during this investigation tended to cluster around a diseased plant and that secondary infections occurred as independent cluster points.
引用
收藏
页码:430 / 434
页数:5
相关论文
共 48 条
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