Abstract:S u m m a r yThe aim of the work was to study the development of pseudothecia of M. graminicola. The experiment was carried out in 2002/2003. Wheat leaves collected at Koñczewice (near Toruñ), S³upia Wielka (near Poznañ) and Kromìøí• (Czech Republic) were kept on an experimental field in Warsaw. The pseudothecia were observed under the light and transmission electron microscopy.The first pseudothecia were observed on the dead leaves at the end of July. The largest number of fruiting bodies were noted in Octobe… Show more
“…A positive correlation was determined for the first day of maximum rainfall (r = 0.328) in May, while in June, both the daily maximum sum of rainfall and the monthly sum of rainfall were significantly correlated to the occurrence of P. nodorum (r = 0.290 and r = 0.287, respectively). Numerous studies confirmed the relationship between the frequency of rainfalls and successful infection by P. nodorum, leading to the development of disease symptoms of glume and leaf blotch [3,22,23]. According to Głazek et al [17], rainfalls in June were of key importance in Poland.…”
Section: Correlation Between Meteorological Factors and Occurrence Of P Nodorummentioning
confidence: 95%
“…For sites above the disease threshold, a quantitative model predicted the severity of Z. tritici using rainfall during stem elongation. According to studies by Mirzwa-Mróz et al [23], the pseudothecia of M. graminicola emerged from June to January under favourable climatic conditions. Henze et al [38] in Germany, in 1995-2003, determined the impact of humidity, rainfall and temperature on outbreaks of Z. tritici.…”
Section: Correlation Between Meteorological Factors and Occurrence Of Z Triticimentioning
The occurrence of necrotrophic winter wheat and triticale pathogens in eight geographical regions of Poland was studied between 2015 and 2020. Over a period of six years, the incidence of the following pathogens was monitored: Parastagonospora nodorum, Parastagonospora avenae and Zymoseptoria tritici. The significant effect of meteorological factors on the incidence of pathogens was determined. The relationship between late-season and early-season factors associated with temperature and precipitation on the severity of diseases incited by the pathogens was statistically significant. Statistical models estimating the natural occurrence and severity of diseases caused by the pathogens were developed with the random forest (RF) algorithm based on 10,412 cases of the diseases. The data were randomly divided into training and test datasets and the accuracy of models was determined by the root mean squared error (RMSE) and Pearson correlation coefficient (r). The most promising model was developed for Z. tritici with the following test metrics: RMSE = 57.5 and r = 0.862. The model can be used to link disease severity to weather and predict low severity years and high severity years. Over the period of 2015–2020, the most significant winter wheat pathogen showed to be Z. tritici, while on winter triticale P. nodorum incited disease symptoms on the largest number of leaves. The occurrence of P. avenae f. sp. triticea on winter wheat and winter triticale was the least frequent and on average was below the economic threshold.
“…A positive correlation was determined for the first day of maximum rainfall (r = 0.328) in May, while in June, both the daily maximum sum of rainfall and the monthly sum of rainfall were significantly correlated to the occurrence of P. nodorum (r = 0.290 and r = 0.287, respectively). Numerous studies confirmed the relationship between the frequency of rainfalls and successful infection by P. nodorum, leading to the development of disease symptoms of glume and leaf blotch [3,22,23]. According to Głazek et al [17], rainfalls in June were of key importance in Poland.…”
Section: Correlation Between Meteorological Factors and Occurrence Of P Nodorummentioning
confidence: 95%
“…For sites above the disease threshold, a quantitative model predicted the severity of Z. tritici using rainfall during stem elongation. According to studies by Mirzwa-Mróz et al [23], the pseudothecia of M. graminicola emerged from June to January under favourable climatic conditions. Henze et al [38] in Germany, in 1995-2003, determined the impact of humidity, rainfall and temperature on outbreaks of Z. tritici.…”
Section: Correlation Between Meteorological Factors and Occurrence Of Z Triticimentioning
The occurrence of necrotrophic winter wheat and triticale pathogens in eight geographical regions of Poland was studied between 2015 and 2020. Over a period of six years, the incidence of the following pathogens was monitored: Parastagonospora nodorum, Parastagonospora avenae and Zymoseptoria tritici. The significant effect of meteorological factors on the incidence of pathogens was determined. The relationship between late-season and early-season factors associated with temperature and precipitation on the severity of diseases incited by the pathogens was statistically significant. Statistical models estimating the natural occurrence and severity of diseases caused by the pathogens were developed with the random forest (RF) algorithm based on 10,412 cases of the diseases. The data were randomly divided into training and test datasets and the accuracy of models was determined by the root mean squared error (RMSE) and Pearson correlation coefficient (r). The most promising model was developed for Z. tritici with the following test metrics: RMSE = 57.5 and r = 0.862. The model can be used to link disease severity to weather and predict low severity years and high severity years. Over the period of 2015–2020, the most significant winter wheat pathogen showed to be Z. tritici, while on winter triticale P. nodorum incited disease symptoms on the largest number of leaves. The occurrence of P. avenae f. sp. triticea on winter wheat and winter triticale was the least frequent and on average was below the economic threshold.
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