Legionella an important respiratory pathogen which is often neglected and under reported. It is known to be the second most common cause of Community acquired pneumonia. Hence, the present study was undertaken to know the prevalence of Legionella from hospital environmental water samples and from patients admitted with lower respiratory tract infection. Objective: To know the prevalence of Legionella pneumophila and to study about water as a source of Legionella in tertiary care hospital. Method: Out of 100 samples collected 82 were sputum samples & 9 were Broncho alveolar lavage,5 was pleural fluid. The samples were processed according to standard protocol. 21 Water samples were collected from taps of various ICU’s and wards. The samples were streaked on both legionella agar medium with supplement and BA without supplement and incubated at 37 C at 5 -10 %Co2 for 3- 7 days presence of colonies on legionella agar medium alone were confirmed as legionella . Results: Out of 100 samples collected 96 (96%) samples were included in the study. Of 96 samples 82(85.4%) were sputum samples in which 12 (14.6%) grew legionella in medium with supplement. Out of 21 water samples collected from various wards and ICU‘s only 3 (14.3%) were positive for the growth of legionella. Conclusion:Our study emphasis the need for further studies involving multi centers throughout state. Our study also urges a need to fill the control gaps and Implement surveillance on environmental systems in Hospitals.

Field experiments were carried out at College farm, B. A. College of Agriculture, Anand Agricultural University, Anand. The DSSAT v4.6 CROPGRO-Peanut model was used to predict the phenology of groundnut crop under combinations of three sowing dates and four groundnut cultivars. The model was calibrated with a 2015 dataset of growth and phenological parameters for estimating the genetic coefficients of all four cultivar and was validated with a 2016 dataset of the same parameters. Simulations of phenological parameters using the calibrated model were found to be quite accurate. The model was able to reasonably simulate the days to anthesis, first pod initiation and physiological maturity with low per cent error (± 4.80) between observed and simulated days for all cultivars under different sowing dates and high correlation coefficient (r> 0.61) but in case of LAI model simulated slightly high per cent error (9.58%) and low correlation coefficient (r> 0.61).

Azospirillum species are plant growth-promoting bacteria whose beneficial effects have been assumed to be moderately due to production of phytohormones (including IAA and gibberellins). Forty isolates were isolated from rhizoplane of tuberose and five efficient Azospirillum isolates were screened based on in vitro IAA production and N2 fixation and used to study their beneficial effect on yield and nutrient content of Tuberose, which revealed that Azospirillum isolate ATR-39 was found significantly superior over other treatments.