Factors affecting primary infection and spatiotemporal patterns of tomato plants naturally infected with black leaf mold in commercial greenhouses

  • Namiko KirinoEmail author
  • Akira KawaguchiEmail author
Fungal Diseases


To identify the source of primary inocula and epidemics of black leaf mold (BLM) of tomato caused by Pseudocercospora fuligena, we investigated contamination on agricultural equipment and the distribution of plants naturally infected with BLM. Viable conidia were found on equipment in greenhouses that had a large BLM outbreak the previous year. All isolates from the equipment caused BLM lesions after inoculation of tomato leaves. The distribution of diseased plants in commercial greenhouses was analyzed using Morisita’s index of dispersion (IB). When the primary diseased plants were found before August, the IB value, calculated using the distribution of diseased plants in total and newly recognized in greenhouses, was over 1.0, indicating an aggregated distribution. However, when the primary diseased plants were first seen after August, the IB value tended not to differ significantly from 1, indicating a random distribution. The statistical analysis in this study suggests that new infections as cluster points around a diseased plant and secondary infections as independent cluster points occurred at the same time when disease development was fast. However, secondary infection was slight when the disease developed slowly. We thus hypothesized that conidia on agricultural equipment serves as primary inoculum, that the primary and secondary infection occur at the same time during large outbreaks and that the primary inoculum has a major role in the disease cycle of BLM over long periods in commercial greenhouses.


Black leaf mold of tomato Pseudocercospora fuligena Spatiotemporal patterns Morisita’s index Conidial contamination of agricultural equipments 


Compliance with ethical standards

Conflict of interest

The author has no conflicts of interest to declare.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Supplementary material

10327_2018_835_MOESM1_ESM.xlsx (19 kb)
Supplementary material 1 (XLSX 19 KB)
10327_2018_835_MOESM2_ESM.pdf (403 kb)
Supplementary material 2 Fig. S1 Disease severity of disease incident of black leaf mold in commercial greenhouses. The photos of high (100% disease incidence) and low (under 50% disease incidence) disease severities and were taken at greenhouses A and D, respectively (PDF 402 KB)
10327_2018_835_MOESM3_ESM.pdf (51 kb)
Supplementary material 3 Fig. S2 Map of greenhouse i in 2013. A black square shows a diseased tomato plant with black leaf mold, and a white square shows a healthy plant. a All diseased plants recognized at each observation. b Diseased plants newly recognized at each observation (PDF 50 KB)
10327_2018_835_MOESM4_ESM.pdf (167 kb)
Supplementary material 4 Fig. S3 Progress of black leaf mold epidemics of tomato in greenhouses in 2012 and 2013. Disease is expressed as percentage of plants with disease. Arrows indicate the days of the disinfection control for BLM (PDF 167 KB)


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Copyright information

© The Phytopathological Society of Japan and Springer Japan KK, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Research Institute for AgricultureOkayama Prefectural Technology Center for Agriculture, Forestry and FisheriesAkaiwaJapan
  2. 2.Western Region Agricultural Research CenterNational Agriculture and Food Research Organization (NARO)FukuyamaJapan

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