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European Journal of Plant Pathology

, Volume 153, Issue 3, pp 975–982 | Cite as

Improving accuracy, precision and reliability of severity estimates of Glomerella leaf spot on apple leaves using a new standard area diagram set

  • Rafaele Regina MoreiraEmail author
  • Henrique da Silva Silveira Duarte
  • Louise Larissa May De Mio
Article
  • 37 Downloads

Abstract

Glomerella leaf spot (GLS) causes severe necrotic leaf symptoms on Gala, the most cultivated apple cultivar in Brazil. To evaluate this disease, the standard area diagram set (SADs) developed on the state of Paraná for a leaf severity level up to 30.93% has been used. However, in samples collected in the states of Santa Catarina and Rio Grande do Sul, disease symptoms reach 75% of severity. Therefore, the objective of this study was to develop and to validate new SADs that include higher GLS severity levels. The proposed SADs have 10 color images of diseased leaves with severity values ranging from 0.2 to 75%. These SADs were validated by 12 raters and have significantly improved the disease assessment. Therefore, it is believed that SADs developed in the present study will allow an adequate evaluation in regions or orchards where the disease is more severe.

Keywords

Colletotrichum spp. Epidemiology Disease assessment Foliar disease 

Notes

Compliance with ethical standards

We declare that our manuscript complies to the all ethical rules applicable for this journal and that there are no potential conflicts of interest or even research involving human participants and/or animals.

References

  1. Bardsley, S. J., & Ngugi, H. K. (2013). Reliability and accuracy of visual methods used to quantify severity of foliar bacterial spot symptoms on peach and nectarine. Plant Pathology, 62, 460–474.CrossRefGoogle Scholar
  2. Bock, C. H., Poole, G., Parker, P. E., & Gottwald, T. R. (2010). Plant disease severity estimated visually by digital photography and image analysis and by hyperspectral imaging. Critical Reviews in Plant Sciences, 29, 59–107.CrossRefGoogle Scholar
  3. Del Ponte, E. M., Pethybridge, S. J., Bock, C. H., Michereff, S. J., Machado, F. J., & Spolti, P. (2017). Standart area diagrams aiding severity estimation: Scientometrics, Pathosystems and methodological trends in the last 25 years. Ecology and Epidemiology, 107, 1161–1174.Google Scholar
  4. Gamer, M., Lemon, J., & Fellows, I. (2012). irr: Various Coefficients of Interrater Reliability and Agreement. R Package Version 0.84.Google Scholar
  5. Hamada, N. A., Nesi, C. N., Alves, G., & May De Mio, L. L. (2012). Fungicidas associados ou não a fosfitos no controle da mancha foliar de glomerella em macieira. Revista Brasileira de Ciências Agrárias, 7, 831–837.CrossRefGoogle Scholar
  6. Kowata, L. S., Strapasson, M., Challiol, M. A., & May De Mio, L. L. (2010). Glomerella leaf spot in apple: Validation of proposed diagrammatic scale and efficiency of fungicides. Ciência Rural, 40, 1502–1508.CrossRefGoogle Scholar
  7. Leite Jr., R. P., Tsuneta, M., & Kishino, A. Y. (1988). Ocorrência de mancha foliar de Glomerella em macieira no Estado do Paraná. Londrina: IAPAR.Google Scholar
  8. Lin, L. I. K. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics, 45, 255–268.CrossRefGoogle Scholar
  9. Moreira, R. R., & May De Mio, L. L. (2015). Potential biological agents isolated from apple fail to control Glomerella leaf spot in the field. Biological Control, 87, 56–63.CrossRefGoogle Scholar
  10. Moreira, R. R., Peres, N. A., & May De Mio, L. L. (2018). Colletotrichum acutatum and C. gloeosporioides species complex associated with apple in Brazil. Plant Disease.  https://doi.org/10.1094/PDIS-07-18-1187-RE.
  11. Nesi, C. N., Alves, G., Ribeiro Jr., P. J., & May De Mio, L. L. (2014). Heterogeneity of peach rust disease progress within the tree canopy. European Journal of Plant Pathology, 139, 663–677.CrossRefGoogle Scholar
  12. Nita, M., Ellis, M. A., & Madden, L. V. (2003). Reliability and accuracy of visual estimation of Phomopsis leaf blight of strawberry. Phytopathology, 93, 995–1005.CrossRefGoogle Scholar
  13. Nutter Jr., F. W., & Esker, P. D. (2006). The role of psychophysics in phytopathology: The weber–Fechner law revisited. European Journal of Plant Pathology, 114, 199–213.CrossRefGoogle Scholar
  14. Nutter, F. W., & Schultz, P. M. (1995). Improving the accuracy and precision of disease assessments: Selection of methods and use of computer-aided training programs. Canadian Journal Plant Pathology, 17, 174–184.CrossRefGoogle Scholar
  15. Petri, J. L., Leite, G. B., Couto, M., & Francescatto, P. (2011). Avanços na cultura da macieira no Brasil. Revista Brasileira Fruticultura, Special Issue, 48–56.Google Scholar
  16. R Core Team. (2013). R: A language & environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org/.
  17. Stevenson, M. (2012). Epir: An R package for the analysis of epidemiological data. R package version 0.9–43.Google Scholar
  18. Taylor, J. (1971). A necrotic leaf blotch and fruit rot of apple caused by a strain of Glomerella cingulata. Phytopathology, 61, 221–224.CrossRefGoogle Scholar
  19. Vale, F. X. R., Fernandes Filho, E. I., & Liberato, J. R. (2003). QUANT: A software plant disease severity assessment. In: R Close, M Braithwaite, I Havery (eds) Proceedings of the 8th international congress of plant pathology, New Zealand, pp105.Google Scholar
  20. Velho, A. C., Alaniz, S., Casanova, L., Mondino, P., & Stadnik, M. J. (2015). New insights into the characterization of Colletotrichum species associated with apple diseases in southern Brazil and Uruguay. Fungal Biology, 119, 229–244.CrossRefGoogle Scholar
  21. Wang, C. X., Zhang, Z. F., & Li, B. H. (2012). First report of Glomerella leaf spot of apple caused by Glomerella cingulata in China. Plant Disease, 96, 912.CrossRefGoogle Scholar
  22. Yadav, N. V., Vos, S. M., Bock, C. H., & Wood, B. W. (2013). Development and validation of standard area diagrams to aid assessment of pecan scab symptoms on fruit. Plant Pathology, 61, 325–335.CrossRefGoogle Scholar

Copyright information

© Koninklijke Nederlandse Planteziektenkundige Vereniging 2018

Authors and Affiliations

  1. 1.Universidade Federal do Paraná, Setor de Ciências Agrárias (SCA-DFF)CuritibaBrazil

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