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Rezistencia vybraných odrôd pšenice ozimnej voči hubovým patogénom
Kolesár, Ján
The thesis was focused on the evaluation of the health status of winter wheat leaves. The experiments were established in the autumn of 2017 in the terrier area of Veľaty, the district of Trebišov, the county of Košice, in the south - east of Slovakia on my own fields. We tested five line wheat varieties. Evaluation of each experiments was performed three times. The least affected was the Genius type. On the other site the lowest level of fungal pathogen resistance was in the Bertold variety. Probably due to its unstaining. The Bodycek variety also appeared very well, but because it was not regulated by growth, it did not achieve the desired results. In the experimental fields, we focused primarily on the attack of wheat leaves by fungal pathogens that cause severe leaf diseases.
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Detekce napadení obilnin listovými chorobami pomocí termálního zobrazování, zobrazovací fluorescence a spektrální odrazivosti
Mezera, Jiří
In the theoretical part of this thesis there is summarized the basic knowledge about the fungal leaf diseases of cereals, their harmfulness and technologies of precision agriculture. The practical part deals with the detection of cereal infestation with fungal leaf diseases using noninvasive optical methods. The research was conducted on winter wheat using methods based on spectral reflectance, infrared thermal imaging, chlorophyll fluorescence imaging, and blue-green fluorescence imaging. The tested diseases were powdery mildew (Blumeria graminis f. sp. tritici), wheat stripe rust (Puccinia striiformis), and wheat leaf rust (Puccinia recondita f.sp. tritici).). In the case of spectral reflectance, the best results were obtained for spectral indices ANMB650-725 and ZM generally. Overall, the best results for all methods were achieved in the detection of wheat leaf rust. A very good indicator of disease infestation was infrared thermal imaging, with a higher level of infection implying an increase in leaf temperature and a lower difference between leaf and air temperature. Reliability of detection by chlorophyll fluorescence imaging differs between individual diseases, with the best results being generally achieved for actual quantum yield PSII and the non-photochemical quenching. The most promising method for the future is the blue-green fluorescence imaging, which achieved very good results for both, the estimation of infection level and contrast between the infected and the healthy part of the leaf.
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