BIOCONTROL POTENTIAL OF STREPTOMYCES SPECIES AGAINST FUSARIUM OXYSPORUM F.SP. ZINGIBERI (CAUSAL AGENT OF RHIZOME ROT OF GINGER)
The present study aimed at determining biocontrol potential of six Streptomyces species (SSC-MB-01 to SSC-MB-06) against Fusarium oxysporum f.sp. zingiberi, causal agent of rhizome rot of ginger. Primary screening for antifungal activity was tested by dual culture method. Agar well diffusion method was employed to screen inhibitory efficacy of ethyl acetate extracts obtained from fermentation broths of Streptomyces species. In both the assays, marked inhibitory activity was observed in case of Streptomyces species SSC-MB-02. In case of Streptomyces species SSC-MB-05, no inhibitory activity was observed in both the assays. The results obtained indicate the possible utilization of Streptomyces isolates for the protection of the ginger rhizomes from soft rot symptoms.
N, P, K AND S STATUS OF WHEAT PLANT GROWN ON SALINE SOILS AS INFLUENCED BY GYPSUM, RICE HULL AND DIFFERENT SALINITY LEVELS
The content and uptake of N, P and K in wheat decreased with the increased levels of salinity (6, 12 dS m-1) and plant age. But the content and uptake of S increased with the increased level of salinity and then decreased with plant age. The highest content of N, P and K in wheat at maturity was found 67.50 and 74.52, 45.68 and 55.97, 94.01 and 97.48 C mol kg-1 in Sonagazi and Badarkhali saline soils, respectively with the treatment of EC0G300H8. But in the both soils S contents were highest with the treatment of EC12G300H8 at maturity stage. In Sonagazi soils the highest content of S was 46 C mol kg-1 which is 33.80% more as compared with control (EC0G0H0). But in Badarkhali soil the highest content of S in wheat was 47.61 C mol kg-1 which is 89.30% more as compared with control (EC0G0H0). The combined application of gypsum 300 kg ha-1 and rice hull 8 t ha-1 significantly (P ≤ 0.05) increased the N, P, K and S content in wheat at maturity as compared with controlled in both saline soils.
CONVERGENCE DIAGNOSTICS IN MCMC FOR ZERO-INFLATED POISSON MODELS FOR AIR POLLUTION DATA
Convergence diagnostics help to decide whether the Markov chain has reached its stationary and to determine the number of iterations to keep after the Markov chain has reached stationary. There are no conclusive tests that can tell you when the Markov chain has converged to its stationary distribution. In this study, we examine some convergence diagnostics for zero inflated Poisson models for air pollution data.