A comparative study on disease progression curves of grapevine downy mildew in North Khorasan province

Document Type : Research Paper

Authors

1 Plant Protection Department, North Khorasan Agricultural and Natural Resources Research and Training Center,Agricultural Research,Education and Extension Organization (AREEO), Bojnourd, Iran.

2 Plant Protection Research Department, Golestan Agricultural and Natural Resources Research and Education Center, AREEO, Gorgan, Iran.

3 Plant Protection Department, Agricultural Faculty, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

4 Genetics and Agricultural Biotechnology Institue of Tabarestan, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

Abstract

Grapevine downy mildew caused by Plasmopara viticola is the most important factor in decreasing grape production in temperate and rainy regions. To investigate the disease progression curve in vineyards of North Khorasan province during two years of 2018 and 2019, Scoring of the target vineyards was carried out each week on a regular schedule from mid-April at the bud swelling time from the vineyard. The incidence rate and severity of the disease in 80 vineyards from four counties of Bojnourd, Maneh and Samolghan, Shirvan and Farouj were calculated. Linear regression was fitted to disease time progression curves with five population growth models as exponential, monomolecular, logistic, log-logistic and gompertz models. The model fitness was determined based on statistics as coefficient of determination (R2), standard error of estimates (SEE) and adjusted coefficient of determination (Ra2). The results showed that exponential, monomolecular, logistic, log-logistic and Gompertz models were fitted with 5, 27.5, 12.5, 17.5 and 37.5% of the disease in the studied gardens, respectively. Accordingly, Gompertz model with 96.76% coefficient of determination was selected as the most suitable model to describe disease progression in North Khorasan province. Rates of increase (rG) per unit of disease in each vineyard was 0.005 to 0.048 (with an average of 0.026). This is the first report of a study of the progression curve of grapevine downy mildew in Iran.

Keywords

References

  1. Aghajani, M. A., Safaei, N. & Alizadeh, A. (2009). Impact of Sclerotinia stem rot on canola yield in Golestan province. Journal of Agricultural and Natural Resources Sciences, 16(4), 109-124. (In Farsi ).
  2. Agrios, G. N. (2005). Plant Pathology, (5th ed.). Oxford, Oxfordshire, UK:Academic Press. Pp. 383–614.
  3. Arnesen, P. A. (2001). Plant disease epidemiology. The Plant Health Instructor. DOI: 10.1094/PHI-A-2001-0524-01.
  4. Behdad, E. (1990). Diseases of Fruit Trees In Iran. Esfahan Neshat Publishing Center. 293pp.(In Farsi).
  5. Berger, R. D. (1981). Comparison of the Gompertz and logistic equations to describe plant disease progress. Phytopathology, 71, 716-719.
  6. Bowers, J. H. & Kinkel, L. L. (1997). Interactive modeling of disease progress curves. pp. 20-23 in: Francle, L. J., and Neher, D. A. eds. 1997. Exercises in plant disease epidemiology. The American Phytopathological Society. 233pp.
  7. Brown, J., Ogle, H. & Dale, M. (1997). Disease management: general concepts. Pp. 343-357, In: J. Brown and H. Ogle (eds), Plant pathogens and plant diseases, Australasia plant pathology society, Australia.
  8. Caffi, T. & Rossi, V. (2006). Water availability in the leaf litter and germination of Plasmopara viticola oospores. In: Proceedings of 5th International workshop on grapevine downy and powdery mildew, (San Michele all'Adige TN, 18-23 June 2006), Istituto Agrario San Michele all'Adige, San Michele all'Adige TN. 33-34. http://hdl.h&le.net/10807/39013.
  9. Campbell, C.L. & Madden, L.V. (1990). Introduction of plant disease epidemiology. John Wiley, New York. 532 pp.

10. Cardoso, J. E., Santos, A. A., Rossetti, A. G. & Vidal, J. C. (2004). Relationship between incidence and severity of cashew gummosis in semiarid north-eastern Brazil. Plant Pathology, 53, 363-367.

11. Contreras- Medina, L. M., Torrres- Pacheco, I., Guevara- Gonzalez, R. G., Romero- Troncoso, R. J., Terol- Villalobos, I. R. & Osornio- Rios, R. A. (2009). Mathematical modelling tendencies in plant pathology. African Journal of Biotechnology, 8,7399-7408.

12. Delmotte, F.,  Louveta, G., Richard-Cerveraa, S., Mestreb, P., Schilderc, A., Austerlitzd, F. & Fontained, M.C. (2010). Invasion history of grapevine downy mildew (Plasmopara viticola): a population genetic perspective. 6Th International Workshop of grapevine downy and powdery mildew: Villenave d’Ornon, France, Bordeaux. 66p.

13. Dubos, B. (2002). Maladies cryptogamiques de la vigne: champignons parasites des organes herbacés et du bois de lavigne. 2ème édition. Bordeaux: Editions Féret. 17-32.

14. Elahinia, S. A. (2014). Mycology and Plant Pathology (Volume I). Gilan University Publication. Pp. 146-148.(In Farsi).

15. Ellis, M. A. (2008). Downy mildew of Grapes. Agricultural and Natural Resources. Ohio State University. Department of Plant Pathology. Fact Sheet. HYG-3013-08, 5 pp.

16. Furman, L. A., Lalancette, N. & White, J. F. (2003). Peach rusty spot epidemics: Temporal analysis and relationship to fruit growth. Plant Disease, 87, 366-374.

17. Gessler, C., Pertot, I. & Perazzolli, M. (2011). Plasmopara viticola: a review of knowledge on downy mildew of grapevine and effective disease management. Phytopathologia Mediterranea, 50,3–44.

18. Khabbaz- jolfaee, H. (2015). Identification and Management of Powdery Mildew and downy mildew of Grapevine. Iranian Institute of Plant Protection Publications, 21pp.(In Farsi).

19. Madden, L. V. (2006). Botanical epidemiology: some key advances and its continuing role in disease management . European Journal of Plant Pathology, 115,3–23.

20. Madden, L. V., Hughes, G. & Bosch, F. V. D. (2007). The study of plant disease epidemics. American Phytopathological Society Press, USA, 421 pp.

21. Madden, L. V., Pirone, T. P. & Raccah, B. (1987). Temporal analysis of two viruses increasing in the same tobacco fields. Phytopathology, 77, 974-980.

22. Madenian-Mohammadi, R., Minasian, V., Safaie, N., Mahmoudi, S. B. & Sharifi, H. (2004). Modeling of disease progress in Cercospora leaf spot of sugar beet. Plant Protection Journal, 40,3-4, 327-343.(In Farsi).

23. Malihipour, A., Okhovat, M. & Alizadeh, A. (2000). Analysis of wheat head blight disease progress in controlled conditions by epidemiological models. Iranian Journal of Plant Pahtology, 36,1-2, 135-154.(In Farsi)

24. Nutter, F. W. (2001). Disease assessment terms and concepts. Pp. 340–351, In: O.C. Maloy & T.D. Murray (eds), Encyclopedia of Plant Pathology, J. Wiley, New York.

25. Park, E. W., Seem, R. C., Gadoury, D. M. & Pearson, R. C. (1997). DMCAST: a prediction model for grape downy mildew development. Viticultural and Enological Scienc, 52,182–189.

26. Rossi, V., Caffi, T., Giosue, S., Girometta, B., Bugiani, R., Spanna, F., Dellavalle, D., Brunelli, A. & Collina, M. (2005). Elaboration and validation of a dynamic model for primary infections of Plasmopara viticola in North Italy. Rivista Italiana di Agrometeorologia, 3,7-13.

27. Rossi, V., Caffi, T., Giosue, S. & Bugiani, R. (2008). A mechanist model simulating primary infections of downy mildew in grapevine. Ecology Modelling, 212,480-491.

28. Rossi, V., Caffi, T. & Gobbin, D. (2013). Contribution of molecular studies to botanical epidemiology & disease modelling: grapevine downy mildew as a case-study. European Journal Plant Pathology, 135, 641–654. doi: 10.1007/s10658-012-0114-2

29. Sajjadi, S. A., Aghajani, M. A., Assemi, H. & Najafi, M. R. (2017). Survey of infection status & important agronomic factors in the incidence of tobacco leg disease in Golestan Province. Plant Protection Journal, 8,2, 41-73.(In Farsi)

30. Savary, S., Delbac, L., Rochas, A., Taisant, G. & Willocquet, L. (2009). Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews. Phytopathology, 99, 930–942.

31. Singh, P. P., Thind, T. S. & Lal, T. (1996). Reaction of some muskmelon genotypes against Pseudoperonospora cubensis under field and artificial epiphytic conditions. Indian Phytopathology, 49, 188-190.

32. Soto-Estrada, A. & Adaskaveg, J. E. (2004). Temporal and quantitative analyses of stem lesion development and foliar disease progression of peach rust in California. Phytopathology, 94, 52-60.

33. Tunwari, B. A., Nahunnaro, H. & Anaso, A. B. (2014). Eco-friendly management strategies for gray leaf spot disease of sorghum using cultivar selection and seed dressing fungicides in Maiduguri, Nigeria. Journal of Agriculture and Sustainability, 5, 14-25.

34. Van-Maanen, A. & Xu, X. M. (2003). Modelling plant disease epidemics. European Journal of Plant Pathology 109, 669-682.

35. Xu, X. (2006). Modelling and interpreting disease progress. P 215–238, In: B. M. Cooke, D. Gareth Jones & B. Kaye (eds). The Epidemiology of Plant Diseases, 2nd edition, Springer, Netherlands.

36. Yu, S., Liu, C., Liang, C., Zang, C., Liu, L., Wang, H. & Guan, T. (2017). Effects of Rain‐shelter Cultivation on the Temporal Dynamics of Grape Downy Mildew Epidemics. Journal of Phytopathology, 165, 331-341.

37. Zadoks, J.C. (1985). On the conceptual basis of crop loss assessment: the threshold theory. Annual Review of Phytopathology, 23, 455-473.

38. Zherdev, A. V., Vinogradova, S. V., Byzova, N. A., Porotikova, E. V., Kamionskaya, A. K. & Dzantiev, B. B. (2018). Methods for the Diagnosis of Grapevine Viral Infections: A Review Agriculture, 12,1-19.

 

Iranian Journal of Plant Protection Science
Volume 51, Issue 1
September 2020
Pages 109-119

Files

History

  • Receive Date: 14 January 2020
  • Revise Date: 14 June 2020
  • Accept Date: 16 June 2020

Share

How to cite

Statistics