Loading...

Effect of weather on tan spot and the number of conidia of Pyrenophora tritici-repentis in winter wheat crops 

Citation :- Effect of weather on tan spot and the number of conidia of Pyrenophora tritici-repentis in winter wheat crops. Res. Crop. 27: 624-632
KSENIYA GASIYAN, OKSANA KREMNEVA AND ARTEM PONOMAREV gasiyankkk@mail.ru
Address : Federal State Budgetary Scientific Institution «Federal Research Center of Biological Plant Protection» 350039, 62 Kalinin st., Krasnodar, Russia
Submitted Date : 29-08-2026
Accepted Date : 9-09-2026

Abstract

Weather and climate are key factors influencing the development of fungal plant diseases. The most significant meteorological drivers of pathogen incidence are temperature, relative humidity and the amount of precipitation. These factors influence sporulation, germination of phytopathogen spores and survival during the winter, which is crucial for the development of the disease in the following season. Here we aim to evaluate and compare the influence of weather and varietal characteristics of winter wheat on tan spot (pathogen Pyrenophora tritici-repentis) and the concentration of spores in the air to substantiate elements of the methodology for monitoring and forecasting epiphytoties. The study showed that weather variability makes a greater contribution to both the variability in the number of P. tritici-repentis conidia and the development of the disease than genetic differences between varieties. Moreover, among weather variables, temperature is the prevailing factor. However, the weather factor may vary from year to year. Therefore, the "year" factor is a better choice for the subsequent development of monitoring methods and forecasting models. It reflects the totality of all possible weather factors affecting the plant pathogen in each specific year. The “variety” factor, reflecting varietal susceptibility to the phytopathogen, will be of secondary importance in the proposed methodology. The obtained results will enable the development of a monitoring methodology and a model for predicting the incidence of tan spot in crops.

Keywords

Conidia spore-trapping devices tan spot weather factors winter wheat 

References

Cohen, J. (2013). Statistical power analysis for the behavioral sciences, 2nd edn. Routledge, New York. pp. 567.
Dhar, N., Mamo, B. E., Subbarao, K. V., Koike, S. T., Fox, A., Anchieta, A.  and Klosterman, S. J. (2020). Measurements of aerial spore load by qPCR facilitate lettuce downy mildew risk advisement. Plant Dis. 104: 82-93. doi.org/10.1094/PDIS-03-19-0441-RE.
Elias, E., Cantrell, R. G. and Hosford Jr, R. M. (1989). Heritability of resistance to tan spot in durum wheat and its association with other agronomic traits. Crop Sci. 29: 299-304. doi.org/10. 2135/cropsci1989.0011183X 002900020013x.
Francl, L. J. (1997). Local and mesodistance dispersal of Pyrenophora tritici-repentis conidia. Can. J.  Plant Pathol. 19: 247-55. doi.org/10.1080/ 07060669709500519.
Gasiyan, K. and Kremneva, O. (2025). Spore trapping devices for monitoring fungal diseases of agricultural crops (review). Zemledelie  2: 42-48.
Grinn-Gofroń, A.  and Bosiacka, B. (2015). Effects of meteorological factors on the composition of selected fungal spores in the air. Aerobiologia 31: 63-72. doi.org/10.1007/s 10453-014-9347-1.
Grinn-Gofroń, A., Çeter, T., Pinar, N. M., Bosiacka, B., Çeter, S., Keçeli, T., Mysliwy, M., Sahin, A. A. and Bogawski, P. (2020). Airborne fungal spore load and season timing in the Central and Eastern Black Sea region of Turkey explained by climate conditions and land use. Agric.  Forest Meteorol. 295: doi.org/10.1016/j.agrformet.2020.108191.
Hjelkrem, A. G. R., Ficke, A., Abrahamsen, U., Hofgaard, I. S.  and Brodal, G. (2021). Prediction of leaf Bloch disease risk in Norwegian spring wheat based on weather factors and host phenology. Eur. J. Plant Pathol. 160: 199-213. doi.org/10.1007/ s10658-021-02235-6.
Jørgensen, L. N., Matzen, N., Ficke, A., Nielsen, G. C., Jalli, M., Ronis, A., Anderson, B. and Djurle, A. (2020). Validation of risk models for control of leaf blotch diseases in wheat in the Nordic and Baltic countries. Eur. J. Plant Pathol. 157: 599-613. doi. org/10.1007/s10658-020-02025-6.
Kim, Yu. S. and Volkova, G. V. (2020). Yellow leaf spot of wheat: distribution, harmfulness, and racial composition (review). Bull. Ulyanovsk State Agric. Acad. 2: 105-16.
Kremneva, O. Y., Gasiyan, K. E., Doroshenko, O. V. and Golub, M. V. (2026). Investigating the susceptibility of winter wheat varieties to foliar diseases using data-driven models. Agronomy 16: doi.org/10.3390/agronomy16141323.
Kremneva, O., Danilov, R., Gasiyan, K.  Ponomarev, A. (2023). Spore-trapping device: an efficient tool to manage fungal diseases in winter wheat crops. Plants 12: doi.org/ 10.3390/plants12020391.
Quinn, G. P. and Keough, M. J. (2002). Experimental design and data analysis for biologists Cambridge, UK. Camb. Univ. Press 277: 197-98.
Radzikowski, P., Jończyk, K., Feledyn-Szewczyk, B.  and Jóźwicki, T. (2023). Assessment of resistance of different varieties of winter wheat to leaf fungal diseases in organic farming. Agriculture 13: doi.org/10.3390/agriculture13040875.
Shashko, Yu. K. and Podorsky, M. V. (2019). Prevalence of the causal agent of yellow leaf spot of winter wheat Pyrenophora tritici-repentis in the Republic of Belarus and selection of sources of increased resistance to the pathogen. Bull. Natl. Acad. Sci. Belarus. Series Agrarian Sci. 57: 179-91. doi.org/10.29235/1817-7204-2019-57-2-179-191.
Suffert, F. (2025). Disruptive effect of rainfalls on the diurnal periodicity of airborne wheat rust spore under field conditions. Agric. Forest Meteorol. 368: doi.org/10.1016/j.agrformet. 2025.110527.
Thiessen, L. D., Neill, T. M.  and Mahaffee, W. F. (2017). Timing fungicide application intervals based on airborne Erysiphe necator concentrations. Plant Dis. 101: 1246-52. doi.org/10.1094/ PDIS-12-16-1727-RE.
Zadoks, J. C., Chang, T. T.  and Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed Res.14: 415-21. doi.org/10.1111/j.1365-3180.1974.tb01084.x.
 

 
 

Global Footprints