Environmental and inoculum effects on epidemiology of bacterial spot disease of stone fruits and development of a disease forecasting system
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Bacterial spot disease of stone fruits, caused by Xanthomonas arboricola pv. pruni, is of high economic importance in the major stone-fruit-producing areas worldwide. A better understanding of disease epidemiology can be valuable in developing disease management strategies. The effects of weather variables (temperature and wet/dry period) on epiphytic growth of X. arboricola pv. pruni on Prunus leaves were analyzed, and the relationship between inoculum density and temperature on disease development was determined and modeled. The information generated in this study, performed under controlled environmental conditions, will be useful to develop a forecasting system for X. arboricola pv. pruni. Optimal temperature for growth of epiphytic populations ranged from 20 to 30 °C under leaf wetness. In contrast, multiplication of epiphytic populations was not only interrupted under low relative humidity (RH) (< 40%) at 25 °C, but also resulted in cell inactivation, with only 0.001% initial cells recovered after 72 h incubation. A significant effect of inoculum density on disease severity was observed and 106 CFU/ml was determined as the minimal infective dose for X. arboricola pv. pruni on Prunus. Infections occurred at temperatures from 15 to 35 °C, but incubation at 25 and 30 °C gave the shortest incubation periods (7.7 and 5.9 days respectively). A model for predicting disease symptom development was generated and successfully evaluated, based on the relationship between disease severity and the accumulated heat expressed in cumulative degree day (CDD). Incubation periods of 150, 175 and 280 CDD were required for 5, 10 and 50% of disease severity, respectively.
KeywordsEpiphytic growth Incubation period Inoculum potential Growth rate Leaf wetness Temperature
We are grateful to Agromillora Catalana for supplying plant material (GF677 plants). We thank Marc Nicolàs and Josep Pereda for helpful collaboration, and Shirley Burgess for assistance in language editing.
This research was supported, in part, by grants from the Ministerio de Educación, Ciencia y Deporte (AGL2013–41405-R) of Spain, from the University of Girona (SING12/13 and MPCUdG2016/085) and from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement number 613678 (DROPSA). Gerard Morales was the recipient of predocotoral fellowships from the University of Girona (BR 2013/31) and from MECD (FPU13/04123) from Spain.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Agrios, G. N. (2005). Plant pathology (5th ed.). San Diego: Elsevier Academic Press.Google Scholar
- Battilani, P., Rossi, V., & Saccardi, A. (1999). Development of Xanthomonas arboricola pv. pruni epidemics on peaches. Journal of Plant Pathology, 81(3), 161–171.Google Scholar
- Campbell, C., & Madden, L. (1990). Introduction to plant disease epidemiology. New York: Wiley.Google Scholar
- Dhingra, O. D., & Sinclair, J. B. (1985). Basic plant pathology methods (2nd ed.). Boca Raton: CRC Press.Google Scholar
- Dow, J. M., Crossman, L., Findlay, K., He, Y. Q., Feng, J. X., & Tang, J. L. (2003). Biofilm dispersal in Xanthomonas campestris is controlled by cell-cell signaling and is required for full virulence to plants. Proceedings of the National Academy of Sciences, 100(19), 10995–11000.CrossRefGoogle Scholar
- EPPO. (2017). Xanthomonas arboricola pv. pruni (XANTPR). EPPO Global Database. Retrieved from https://gd.eppo.int.
- EPPO/CABI. (1997). Xanthomonas arboricola pv. pruni. In I. M. Smith, D. G. McNamara, P. R. Scott, & M. Holderness (Eds.), Quarantine pests for Europe (2nd ed., pp. 1096–1100). Wallingford: CAB International.Google Scholar
- Garcin, A., Neyrand, S., & Fabresse, M. (2007). Fruits á noyau: Sensibilité variétale au Xanthomonas. L’arboriculture fruitière, 612, 28–32.Google Scholar
- Garcin, A., Vibert, J., & Cellier, M. (2011a). Xanthomonas sur pêcher: étude des conditions d’infection. Fonctionnement du modèle et résultats d’essais (2e partie). Infos CTIFL, 272, 30–39.Google Scholar
- Garcin, A., Vibert, J., & Leclerc, A. (2011b). Xanthomonas sur pêcher: étude des conditions d’infection. Développement de l’outil (1re partie). Infos CTIFL, 268, 26–39.Google Scholar
- Gnanamanickam, S. S., & Immanuel, J. E. (2007). Epiphytic bacteria, their ecology and functions. In S. S. Gnanamanickam (Ed.), Plant-associated Bacteria. Dordrecht: Springer Netherlands.Google Scholar
- Goodman, R. N. (1976). Physiological and cytological aspects of the bacterial infection process. In Heitefuss, R., & Williams, P. H. (Eds.), Physiological plant pathology. Encyclopedia of plant physiology (New Series, vol.4, pp. 172–196). Berlin: Springer.Google Scholar
- Janse, J. D. (2012). Bacterial diseases that may or do emerge, with (possible) economic damage for Europe and the Mediterranean basin: Notes on epidemiology, risks, prevention and management on first occurrence. Journal of Plant Pathology, 94(Supplement 4), S4.5–S4.29.Google Scholar
- Magarey, R. D., & Sutton, T. B. (2007). How to create and deploy infection models for plant pathogens. In A. Ciancio & K. G. Mukerji (Eds.), Integrated management of plants pests and diseases (Vol. 1, pp. 3–25). Dordrecht: Springer Netherlands.Google Scholar
- Moh, A., Massart, S., & Lahlali, R. (2011). Predictive modelling of the combined effect of temperature and water activity on the in vitro growth of Erwinia spp. infecting potato tubers in Belgium. Biotechnology, Agronomy, Society and Environment, 15(3), 379–386.Google Scholar
- Palacio-Bielsa, A., Cubero, J., Cambra, M. a., Collados, R., Berruete, I. M., & Lopez, M. M. (2011). Development of an efficient real-time quantitative PCR protocol for detection of Xanthomonas arboricola pv. pruni in Prunus species. Applied and Environmental Microbiology, 77(1), 89–97.CrossRefGoogle Scholar
- R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
- Ritchie, D. F. (1995). Bacterial spot. In J. M. Ogawa, E. I. Zehr, G. W. Bird, D. F. Ritchie, K. Uriu, & J. K. Uyemoto (Eds.), Compendium of stone fruit diseases. St. Paul: APS Press.Google Scholar
- Ritchie, D. F. (2004). Copper-containing fungicides/bactericides and their use in management of bacterial spot on peaches. Southeast Regional Newsletter, 4(1).Google Scholar
- Ruz, L., Moragrega, C., & Montesinos, E. (2008). Evaluation of four whole-plant inoculation methods to analyze the pathogenicity of Erwinia amylovora under quarantine conditions. International Microbiology, 11(2), 111–119.Google Scholar
- Scortichini, M. (2010). Epidemiology and predisposing factors of some major bacterial diseases of stone and nut fruit trees species. Journal of Plant Pathology, 92(Supplement 1), S1.73–S1.78.Google Scholar
- Socquet-Juglard, D., Patocchi, A., Pothier, J. F., Christen, D., & Duffy, B. (2012). Evaluation of Xanthomonas arboricola pv. pruni inoculation techniques to screen for bacterial spot resistance in peach and apricot. Journal of Plant Pathology, 94(Supplement 1), S1.91–S1.96.Google Scholar
- Stefani, E. (2010). Economic significance and control of bacterial spot/canker of stone fruits caused by Xanthomonas arboricola pv. pruni. Journal of Plant Pathology, 92(Supplement 1), 99–104.Google Scholar
- Vanneste, J., McLaren, G., & Yu, J. (2005). Copper and streptomycin resistance in bacterial strains isolated from stone fruit orchards in New Zealand. New Zealand Plant Protection, 58, 101–105.Google Scholar
- Wert, T. W., Miller, P., Williamson, J. G., & Rouse, R. E. (2006). Preliminary studies for controlling bacterial spot in low-chill peaches. Proceedings of the Florida State Horticultural Society, 119, 32–33.Google Scholar
- Zwietering, M., Jongenburger, I., Rombouts, F. M., & van’t Riet, K. (1990). Modeling of the bacterial growth curve. Applied and Environmental Microbiology, 56(6), 1875–1881.Google Scholar