Abstract
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.
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Acknowledgments
The authors are grateful to Dr. K. Ishiguro (NARO Tohoku Agricultural Research Center, Iwate, Japan), Dr. H. Tanaka (Research Institute of Environment, Agriculture and Fisheries, Osaka Prefecture, Osaka, Japan) and Dr. K. Yamamura (National Institute of Agro-Environment Sciences, Ibaraki, Japan) who gave us much useful advice.
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Figure S1: Map of greenhouse A in 2009. A black square shows a diseased tomato plant with leaf mold, and a white square shows a healthy tomato plant. a Total diseased plants at each observation. b Diseased plants newly recognized at each observation.
Table S1: The outline of commercial greenhouses investigated.
Table S2: Value of m, m*and s 2 for diseased tomato plants caused by Passalora fulva in commercial greenhouses.
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Kawaguchi, A., Suenaga-Kanetani, H. Spatiotemporal distribution of tomato plants naturally infected with leaf mold in commercial greenhouses. J Gen Plant Pathol 80, 430–434 (2014). https://doi.org/10.1007/s10327-014-0539-x
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DOI: https://doi.org/10.1007/s10327-014-0539-x