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Molecular characterization and influence of soil factors isolates of Rhizoctonia solani in Meghalaya

机译:梅加拉亚邦茄根病土壤分离株的分子特征及其影响

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Disease samples of sheath blight of rice, and banded leaf and sheath blight of maize were collected randomly from four districts of Meghalaya. Molecular characterization using specific primers and universal fungal primers revealed that most of the isolates belonged to anastomosis group AG 1-1 A. Differential growth rate was observed in 15 rice isolates of R. solani with maximum growth rate observed in two rice isolates, KMR6 and KMR8 that covered whole petri plates within 2 days of inoculation. Out of 12 maize isolates, KMM7 covered whole plate in 36 hours of inoculation. Virulence analysis of 15 rice isolates by detached tiller method revealed that isolates KMR2, KMR3, KMR4, KMR5, KMR6, KMR7, KMR8, KMR11, KMR12, KMR13and KMR15 were virulent and other isolates were non-virulent. While detached leaf assay of maize showed that the isolates KMM4, KMM6, KMM7 and KMM8 were virulent and other isolates were non-virulent. Thirty six soil samples were collected from across the Meghalaya state and analyzed for soil pH, soil organic carbon (SOC), soil texture and available nutrients (N, Pand K). Correlation analysis revealed that growth of KMM7 isolate in soil was significantly correlated with sand%, SOC, pH and available phosphorus (kg/ha) in soil. By usingStep wise regression analysis, soil pH was detected as the most important variable. Among all equations evaluated (quadratic, inverse, logarithmic and linear), quadratic (adjusted R2 -0.52) and linear (adjusted R2 -0.45) were found to explain the variability better than other equations.
机译:从梅加拉亚邦的四个地区随机采集水稻,白带病,玉米带叶和白叶病的病标本。使用特异性引物和通用真菌引物进行的分子表征显示,大多数分离株均属于吻合组AG 1-1A。在15个水稻分离株solani中观察到差异生长速率,在两个水稻分离株KMR6和KMR6中观察到最大生长速率。接种后2天内覆盖了整个培养皿的KMR8。在12种玉米分离物中,KMM7在接种后36小时内覆盖了整个平板。通过分离分method法对15个水稻分离株进行毒力分析,结果表明分离株KMR2,KMR3,KMR4,KMR5,KMR6,KMR7,KMR8,KMR11,KMR12,KMR13和KMR15具有强毒力,而其他分离株无毒力。玉米的分离叶分析表明,分离株KMM4,KMM6,KMM7和KMM8有毒,而其他分离株无毒。从整个梅加拉亚邦收集了36个土壤样品,并分析了土壤的pH值,土壤有机碳(SOC),土壤质地和有效养分(N,P和K)。相关分析表明,土壤中KMM7分离株的生长与土壤中的沙含量,SOC,pH和有效磷(kg / ha)显着相关。通过逐步回归分析,将土壤pH检测为最重要的变量。在所有评估方程(二次方程,逆方程,对数方程和线性方程)中,二次方程(调整后的R2-0.52)和线性方程(调整后的R2-0.45)比其他方程更好地解释了变异性。

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