Volume 13, Issue 1 (2024)                   JCP 2024, 13(1): 55-74 | Back to browse issues page

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Hasanzadeh M, Mohammadi N, Safaie N, Dadrezaei S T, Tabatabaei S N, Eslahi M R. Spatial-temporal analysis of wheat leaf rust disease )Puccinia triticina Eriks( in Southwestern Iran. JCP 2024; 13 (1) :55-74
URL: http://jcp.modares.ac.ir/article-3-70831-en.html
Spatial-temporal analysis of wheat leaf rust disease )Puccinia triticina Eriks( in Southwestern Iran
Mostafa Hasanzadeh1 , Naser Mohammadi2 , Naser Safaie 3, Seyed Taha Dadrezaei4 , Seyed Nosratollah Tabatabaei5 , Mohammad Reza Eslahi5
1- Depatment of Plant Pathology, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
2- Dryland Agricultural Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Maragheh, Iran.
3- Depatment of Plant Pathology, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran. , naser.safaie@gmail.com
4- Department of Cereal Research, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
5- Plant Protection Research Department, Khuzestan Agricultural and Natural Resources Research Center, AREEO, Ahvaz, Iran.
Abstract:   (165 Views)
Leaf rust is one of the most important diseases and influences the sustainable cultivation of wheat. Therefore, for the first time in Iran, the spatial pattern and temporal progress of this disease were assessed in five wheat cultivars, including Chamran 2, Star, Ofogh, Kavir, and Boolani, with different resistance levels in 2015-16 and 2016-17 cropping years. In both years, disease progress curves (DPCS) showed a sigmoid-like shape, and the rate curves had an obvious inflection point, both the features of Gompertz and logistic models. Plots of transformed, predicted disease intensity values and residual patterns indicated that disease intensity data fit closely with Gompertz and logistic models. Gompertz and logistic models with a bit of variation gained R2 above 90 % in all cultivars. Based on the results, there is no direct relationship between cultivar resistance and best-fitted models, as in both years, logistic and Gompertz models fitted properly with disease intensity data for all cultivars. In the Gompertz model, the mean rate of increase (rG) per unit of disease in the resistance (Chamran 2) and susceptible (Boolani) cultivars were 0.052 and 0.09, respectively, and in the logistic model (rL) were 0.12 and 0.144, respectively. Results indicated that in the first weeks after the appearance of the disease symptoms, the spatial pattern of diseased plants was aggregated, and the amount of the dispersion index and lloyd’s Index of Patchiness in the first and second years were 8.9, 9, and 1.3, 1.2, respectively. Three weeks after data collection, the spatial pattern became random.

 
Keywords: wheat, leaf rust, spatial pattern, temporal progress, dispersion index
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Article Type: Original Research | Subject: Plant Disease Epidemiology
Received: 2023/07/30 | Accepted: 2024/08/19 | Published: 2024/08/30
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