European Journal of Plant Pathology

, Volume 154, Issue 4, pp 1077–1089 | Cite as

Wheat stripe rust epidemics in interaction with climate, genotype and planting date

  • Bita NaseriEmail author
  • Alireza Marefat


Stripe rust is a potential threat to wheat production in the world. From 2013 to 2017, a total number of 282 stripe rust progress curves were characterized at the plot scale in Kermanshah province, Iran, according to a number of agro-ecological traits. Disease incidence and severity varied by cultivar, planting date, sampling time and year. Area under disease progress curve (AUDPC) on a severity rating basis was ranked according to the Kruskal-Wallis one-way ANOVA. H-test comparisons among cultivars showed greater mean AUDPC values for cvs. Sivand, Bahar and Chamran II, while cv. Pishgam had a lowest AUDPC value. Mean AUDPC value for early disease onset was greater than that for late disease onset. Greater AUDPC corresponded to smaller resistance index ranging from 0 to 70. Highest and lowest AUDPC occurred in spring 2016 and 2015, respectively. From principal component analysis, three principal factors accounting for 84% of the total variance evidenced dependence of stripe rust development on air temperature and moisture, disease-onset and maturity date, resistance index, and planting date. From regression analysis, the number of days with minimum temperatures within the range of 5–12 °C and RH above 60%, disease-onset and maturity date, resistance index, and planting date accounted for 62% of variations in AUDPC values. The present findings emphasize careful selection of cultivar resistance, maturity and planting dates, along with climatic descriptors, to improve accuracy of disease prediction models, durability of cultivar resistance to stripe rust, and sustainability of disease management programs.


Cereals Multivariate analysis Weather Yellow rust 



This research was financially supported by the Iranian Agricultural Research, Education & Extension Organization, project no. 2-55-16-94165. The authors acknowledge Mr. M Noroozi for his technical assistance throughout this work.

Compliance with ethical standards

Conflict of interest

There is no conflict of interest related to this research.

Research involving human participants and/or animals

This is not applicable to this research.

Informed consent

This is not applicable to this research.


  1. Afzal, S. N., Haque, M. I., Ahmedani, M. S., Bashir, S., & Rattu, A. R. (2007). Assessment of yield losses caused by Puccinia striiformis triggering stripe rust in the most common wheat varieties. Pakistan Journal of Botany, 39, 2127–2134.Google Scholar
  2. Anonymous (2016). Agricultural Production Report. Tehran, Iran: The Iranian Ministry of Agriculture. Accessed 14 January 2018.
  3. Campbell, C. L., Madden, L. V., & Pennypacker, S. P. (1980). Structural characterization of bean root rot epidemics. Phytopathology, 70, 152–155.CrossRefGoogle Scholar
  4. Chen, X. M. (2005). Epidemiology and control of stripe rust Puccinia striiformis f. Sp. tritici on wheat. Canadian Journal of Plant Pathology, 27, 314–337.CrossRefGoogle Scholar
  5. Coakley, S. M., Line, R. F., & McDaniel, L. R. (1988). Predicting stripe rust severity on winter wheat using an improved method for analyzing meteorological and rust data. Phytopathology, 78, 543–550.CrossRefGoogle Scholar
  6. de Vallavieille-Pope, C., Huber, L., Leconte, M., & Goyeau, H. (1995). Comparative effects of temperature and interrupted wet periods on germination, penetration, and infection of Puccinia recondita f. Sp. tritici and P. striiformis on wheat seedlings. Phytopathology, 85, 409–415.CrossRefGoogle Scholar
  7. Gladders, P., Langton, S. D., Barrie, I. A., Hardwick, N. V., Taylor, M. C., & Paveley, N. D. (2007). The importance of weather and agronomic factors for the overwinter survival of yellow rust (Puccinia striiformis) and subsequent disease risk in commercial wheat crops in England. Annals of Applied Biology, 150, 371–382.CrossRefGoogle Scholar
  8. Huet, P. (1986). Influence du système de culture sur le piétin verse du blé. In Les Rotations Céréalières Intensives: Dix Années D’études Concertées (pp. 95–111). Paris, France: INRA.Google Scholar
  9. Jeger, M. J. (2004). Analysis of disease progress as a basis for evaluating disease management practices. Annual Review of Phytopathology, 42, 61–82.CrossRefPubMedGoogle Scholar
  10. Kranz, J. (1974). Comparison of epidemics. Annual Review of Phytopathology, 12, 355–374.CrossRefGoogle Scholar
  11. Large, E. C. (1954). Growth stages in cereals. Plant Pathology, 3, 128–129.CrossRefGoogle Scholar
  12. Loyce, C., Meynard, J. M., Bouchard, C., Rolland, B., Lonnet, P., Bataillon, P., Bernicot, M. H., Bonnefoy, M., Charrier, X., Debotej, B., Demarquet, T., Duperrier, B., Félix, I., Heddadj, D., Leblanc, O., Leleu, M., Mangin, P., Méausoone, M., & Doussinault, G. (2008). Interaction between cultivar and crop management effects on winter wheat diseases, lodging, and yield. Crop Protection, 27, 1131–1142.CrossRefGoogle Scholar
  13. Ma, H., & Singh, R. P. (1996). Contribution of adult plant resistance gene Yr18 in protecting wheat from yellow rust. Plant Disease, 80, 66–69.CrossRefGoogle Scholar
  14. Madden, L. V., & Nutter, F. W., Jr. (1995). Modeling crop loss at the field scale. Canadian Journal of Plant Pathology, 17, 124–137.CrossRefGoogle Scholar
  15. Moschini, R. C., & Pérez, B. A. (1999). Predicting wheat leaf rust severity using planting date, genetic resistance, and weather variables. Plant Disease, 83, 381–384.CrossRefGoogle Scholar
  16. Pineiro, G., Parelman, S., Guerschman, J. P., & Paruelo, J. M. (2008). How to evaluate models: Observed vs. predicted or predicted vs. observed? Ecological Modeling, 216, 316–322.CrossRefGoogle Scholar
  17. Rapilly, F. (1979). Yellow rust epidemiology. Annual Review of Phytopathology, 17, 59–73.CrossRefGoogle Scholar
  18. Sharma, S. (1996). Applied multivariate techniques. New York, USA: Wiley.Google Scholar
  19. Sharma-Poudyal, D., & Chen, X. M. (2011). Models for predicting potential yield loss of wheat caused by stripe rust in the U.S. Pacific northwest. Phytopathology, 101, 544–554.CrossRefPubMedGoogle Scholar
  20. Sharma-Poudyal, D., Chen, X. M., & Rupp, R. (2014). Potential oversummering and overwintering regions for the wheat stripe rust pathogen in the contiguous United States. International Journal of Biometeorology, 58, 987–997.CrossRefPubMedGoogle Scholar
  21. Shaw, M. W., & Royle, D. J. (1993). Factors determining the severity of epidemics of Mycosphaerella graminicola (Septoria tritici) on winter wheat in the UK. Plant Pathology, 151, 882–899.CrossRefGoogle Scholar
  22. Stubbs, R. W. (1985). Stripe rust. In A. P. Roelfs & W. R. Bushnell (Eds.), The cereal rusts II. Diseases, distribution, epidemiology and control (pp. 61–101). New York, USA: Academic Press.CrossRefGoogle Scholar
  23. Wan, A. M., Chen, A. D. X. M., & He, Z. H. (2007). Wheat stripe rust in China. Australian Journal of Agricultural Research, 58, 605–619.CrossRefGoogle Scholar
  24. Zeng, S. M. (2004). Simulation study on cultivar deployment against wheat stripe rust caused by Puccinia striiformis west. In China. Acta Phytopathologica Sinica, 34, 261–271.Google Scholar

Copyright information

© Koninklijke Nederlandse Planteziektenkundige Vereniging 2019

Authors and Affiliations

  1. 1.Plant Protection Research DepartmentKermanshah Agricultural & Natural Resources Research & Education Center, AREEOKermanshahIran
  2. 2.Department of Plant Protection, Faculty of AgricultureRazi UniversityKermanshahIran

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