Browsing by Author "Dakhore, K.K."

Now showing 1 - 3 of 3
  • Thumbnail Image
    Publication
    Application of CERES-sorghum crop simulation model DSSAT v4.7 for determining crop water stress in crop phenological stages
    (Springer Science and Business Media Deutschland GmbH, 2022) Gohain, G.B.; Singh, K.K.; Singh, R.S.; Dakhore, K.K.; Ghosh, Kripan
    The water requirement of the crop is an important phenomenon to estimate the crop yield and understanding the crop water necessity at different crop phenological stages as soil and plant water deficits cause yield reduction. The most crucial crop stages that dictate crop yield are at the vegetative and reproductive stages, reducing the crop yield by more than 35% and 50%, respectively. Our study is to determine the crop water stress using the Crop Environmental Resource Synthesis (CERES)-Sorghum model, which is a component of the Decision Support System for Agrotechnology Transfer (DSSAT)�crop simulation model (CSM). Crop water stress is simulated spatially for Rainfed Kharif Sorghum (Sorghum bicolor (L.) Moench) in 10 districts of Maharashtra state, India, from 2000 to 2018 using DSSAT-CSM. Besides other factors as well that impact crop yield, rainfall also has an impact on crop growth, development, and managing water efficiency for the crops. Simulated crop water stress above a specific threshold value of ? 0.5 (50%) impacts crop growth and development process. Considering the drought year 2015 with sowing dates June (15, 22, 29) and July (6, 15); it shows that late sowing of kharif sorghum for 2015 minimal crop water stress can be seen. CERES-Sorghum model can efficiently determine the crop water stress at different crop phenological stages with different dates of sowing. � 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
  • Thumbnail Image
    Publication
    Assessment of climatic impact on growth and production of rice (Kharif) and wheat (Rabi) using geospatial technology over Haryana
    (India Meteorological Department, 2023) Awasthi, Nitesh; Tripathi, Jayant Nath; Dakhore, K.K.; Gupta, Dileep Kumar; Kadam, Y.E.
    Global climate change could have a substantial negative influence on Indian agriculture and becoming more common and intense growing as a result of food security. Indeed, the examination of weather variability on agricultural growth and production is always complex. The weather variability impact on agricultural growth and production has been evaluated by Pearson correlation analysis among various weather variables (minimum temperature, maximum temperature, relative humidity, wind speed and rainfall), vegetation indices (NDVI and LAI) and crop yield (wheat and rice) on yearly and monthly basis for the time period from the year 1991 to 2020 in the present study. Initially, the temporal behavior of weather variables and vegetation indices have been explored on the monthly and yearly time scale for the long term (1991-2020) along with crop yield over Indian state of Haryana. After that a Pearson correlation analysis have been carried out among the weather variables, vegetation indices and crop yield on monthly and yearly time scale, individually to understand the relationship of NDVI-weather and LAI-weather along with the long-term weather impact on agricultural production. A significant correlation is found between NDVI-weather and LAI-weather on monthly and yearly basis. The positive impact of the temperature, relative humidity and rainfall is found on the rice crop production, while the wind speed showed the negative impact on the rice crop production during the Kharif season in Haryana state of India during the years 1998-2018. In case of wheat crop (Rabi season), the minimum temperature, rainfall and relative humidity supports the wheat crop production, while the maximum temperature and wind speed showed the negative impact on the wheat yield in Haryana during the years 1998-2018. Overall, this study has found the annual increase in wheat crop yield approximately 0.044 tons per hectare and rice crop yield 0.029 tons per hectare. � 2023, India Meteorological Department. All rights reserved.
  • Thumbnail Image
    Publication
    Linkage between the vegetation indices and climate factors over Haryana
    (Association of Agrometeorologists, 2022) Awasthi, Nitesh; Tripathi, Jayant Nath; Dakhore, K.K.; Gupta, Dileep Kumar; Kadam, Y.E.
    Present study was an attempt to study the relationship of Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) with climatic parameters (maximum temperature, minimum temperature, relative humidity, rainfall, wind speed and aerosol optical depth) over the Indian state of Haryana using MODIS derived vegetation indices on monthly and yearly values for the time period from 2010 to 2020. The values of correlations coefficients of NDVI and LAI with climatic variables varied with the months, the nature of their variation was similar for two indices. During summer season the correlation values were maximum while these were minimum during rainy season. The overall correlation analysis revealed that the rainfall and relative humidity were positively correlated with NDVI and LAI, while the remaining climate variables had negative impact on the NDVI and LAI. � 2022, Association of Agrometeorologists. All rights reserved.