Abstract:Field experiments were conducted. to study the residual effect of three rice establishment methods (SRI, drum seeding and conventional transplanting) and three nutrient management practices [RDF (80:40:

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The study aims to the Hydro-Estimator Method (HEM) has been used as the noble approach for analysing the heavy rainfall episodes over entire Odisha using the INSAT-3D satellite- derived rainfall estimates. The findings demonstrate that, in terms of the frequency of rainfall occurrences, INSAT-3D satellite rainfall products clearly illustrated both the spatial and temporal variability in rainfall pattern of Odisha. The performance statistics with IMERG and daily merged satellite retrieved rainfall show that both the dataset corelated well with the HEM with a small deviation. For heavy rainfall events, HEM shows good skill and correlation in detecting heavy rainfall with an accuracy of 20 mm and good pattern matching with actual rainfall. Entire Odisha is considered as study area, which is located in the eastern part of India. It comprises of 30 districts and of 314 blocks spreading over an area of 155707 km2. The state has 30 districts, which are further divided into 314 revenue blocks. The rainfall data (1 year; 2016) for all the blocks of Odisha has been obtained from Special Relief Commissioner (SRC), Government of Odisha and subjected to further analysis process. The satellite derived rainfall estimates viz., HEM, were evaluated with rain  gauge based gridded data viz., IMD-GRIDDED Dataset for the year 2016 over the Odisha region at the summer monsoon period. The satellite derived rainfall estimates HE have exhibited some good results with the IMD-GRIDDED Dataset its average R2 on a daily basis for different blocks is 0.34 and on a monthly basis it is 0.44. RMSE has also been determined to different block for JJAS month. The average RMSE on daily basis is 17.7 and on monthly basis is 94.6 as shown in bias maps.

Aim: The study aims to the progression of the early blight of potato in relation to weather parameters such as maximum temperature, minimum temperature, maximum relative humidity, minimum relative humidity, and rainfall. Place and Duration of Study: Epidemiological investigation was conducted during rabi season of 2021-22 at the research field of the All India Coordinated Research Project (AICRP) on potato, OUAT, Bhubaneswar. Methodology: The trial was laid out in Split Plot Design with different dates of planting (26 November and 16 December), as the main plots and four varieties (Kufri Pukhraj, Kufri Khyati, Kufri Surya, and Kufri Jyoti) as the subplots. Results: The initial infection of early blight occurred during 52 Standard Meteorological Week (SMW). The highest percentage of disease intensity and incidence occurred in the variety Kufri Pukhraj followed by Kufri Khyati, Kufri Jyoti and Kufri Surya under 26 November planting. Conclusion: Minimum and maximum temperatures and minimum relative humidity had a significantly positive correlation with the incidence and intensity of early blight. Stepwise multiple linear regression equations revealed that maximum temperature, maximum and minimum relative humidity, and rainfall was responsible for early blight in potatoes.