cultivar reaction

The brown spot disease is one of the seed-borne diseases of rice, found in the all stages of its growth from nursery to farm. It causes qualitative and quantitative damage on rice. Therefore, some studies carried out on the different aspects of this disease and the reaction of some cultivars of rice against the pathogenic fungous agent of the diseases. To do so, 120 isolates, isolated from plant samples were collected from the 91 paddy fields in Guilan. To isolate the pathogenic fungous agent of the disease, the collected samples were cultured on PDA and filter paper. According to the results, the present isolation related to Bipolaris with the 3 species : Bipolaris oryzae (Ito & Kurib.) Drechsler ex Dastur Bipolaris victoriae Nelson Bipolaris sp. The total isolataes were consisted of 15% Bipolaris oryzae, 75% Bipolaris -victoriae and 10% Bipolaris sp. The study of pathogenicity of isolation in these three species was applied to Khazar rice in desicator. The symptoms created by these three species were different from necrotic spots to leaf death. The results indicated that not only the symptoms but also the virulence in these three species were different. The virulence in B. oryzae was more than B. sp and this was more than B. victoriae. To study the reaction of some cultivars of rices to the pathogenic fungous agent, 8 cultivars of rice: “ Bejar, Khazar, Sepeedroud, Domsephid, Hassan saraee, Binam, Neda, Nemat” respectively were used in the two stages of the plant growth, to leaf in the seedling stage and heading. The results indicated that in seedling stage there was no significant difference between these cultivars with respect to the amount of infection. And in heading stage, according to “Dunken” test (5%) they divided into the 3 groups: “Neda, Sepeedrud, Khazar and Binam” with the lowest amount of infection were in the first group, “Bejar, Domsephid and Hassan saraee” classified in the second group and “Nemat” was in the third one. But there was no significant difference between them according to the variance analysis table.