K. K. Dakhore

ORCID: 0000-0001-8875-9449
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About
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Research Areas
  • Agricultural Economics and Practices
  • Hydrology and Drought Analysis
  • Rice Cultivation and Yield Improvement
  • Irrigation Practices and Water Management
  • Climate change impacts on agriculture
  • Agricultural risk and resilience
  • Climate variability and models
  • Sugarcane Cultivation and Processing
  • Remote Sensing in Agriculture
  • Spectroscopy and Chemometric Analyses
  • Flood Risk Assessment and Management
  • Remote Sensing and Land Use
  • Plant responses to elevated CO2
  • Advanced Statistical Methods and Models
  • COVID-19 epidemiological studies
  • Precipitation Measurement and Analysis
  • Plant Water Relations and Carbon Dynamics
  • Soil Moisture and Remote Sensing
  • Research in Cotton Cultivation

Marathwada Agricultural University
2016-2024

Navsari Agricultural University
2015

This study involved an investigation of the long-term seasonal rainfall patterns in central India at district level during period from 1991 to 2020, including various aspects such as spatiotemporal trend patterns, variability, trends rainy days with different intensities, decadal percentage deviation and events along their respective intensities. The region was meticulously divided into distinct subparts, namely, Gujarat, Daman Diu, Maharashtra, Goa, Dadra Nagar Haveli, Madhya Pradesh,...

10.3390/hydrology11020027 article EN cc-by Hydrology 2024-02-13

The study was carried out to investigate the impact of drought on vegetation in Maharashtra's Parbhani district, utilizing remote sensing techniques. Analysis Landsat 8 data for 2015 (a year) and 2020 normal reveals fluctuations Normalized Difference Water Index (NDWI) closely correlated with rainfall patterns. In 2015, NDWI indicated extreme conditions, while 2020, most areas experienced mild drought. comparison underscores NDWI's sensitivity variability dry spells. Meteorological factors,...

10.54386/jam.v26i2.2540 article EN cc-by-nc-sa Journal of Agrometeorology 2024-06-01

Abstract Crop weather calendars (CWC) serve as tools for taking crop management decisions. However, CWCs are not dynamic, they were prepared by assuming normal sowing dates and fixed occurrence well duration of phenological stages rainfed crops. Sowing fluctuate due to variability in monsoon onset phenology varies according stresses encountered. Realizing the disadvantages CWC issuing accurate agromet advisories, a protocol dynamic calendar (DCWC) was developed All India Coordinated Research...

10.1002/agj2.20518 article EN Agronomy Journal 2020-11-16

Given the wide use of multi-climate model mean (MMM) for impact assessment studies, this work examines fidelity Coupled Model Intercomparison Project Phase 5 (CMIP5) in simulating features Indian summer monsoons as well post-rainy seasons assessing possible impacts climate change on season sorghum crop yields across India. The MMM simulations captured spatial patterns and annual cycles rainfall surface air temperatures. However, bias was observed precipitation amounts daily intensity. trends...

10.3390/su14010334 article EN Sustainability 2021-12-29

The information the rainfall variability and its trends is an important inputs for policy makers agricultural planning, water resource assessment, hazard mapping, flood frequency analysis etc. Several studies have been conducted by researchers in order to know spatial temporal of rainfall.Singh et al. (2018) reported trend N-W region comprising Punjab, Haryana, Delhi, Himachal Pradesh J.K. State India.Rao (2011) that there was differences computed using grided station data some districts...

10.54386/jam.v21i2.244 article EN cc-by Journal of Agrometeorology 2021-11-10

Background: Peninsular India, being completely under the influence of monsoonal climate, suffers crop yield variability due to rainfall distribution-induced soil moisture constraints. Timely and appropriate assessment this moisture-induced serves as a key for exemplary relief assistance. Per cent available (PASM) is one among several drought declaration indices followed by stakeholders in India drought, needs re-evaluation existing criteria unable capture loss ineffective classification PASM...

10.3389/fenvs.2024.1319912 article EN cc-by Frontiers in Environmental Science 2024-05-07

The reference evapotranspiration (ETo) is an important agrometeorological parameter used for various agricultural & meteorological applications. In present study daily was determined by Hargreaves method seven districts of Marathwada region using long period weather data (29-35 years). results revealed that, ETo increases continuously from January and reaches to its maximum during May, with quite differences among the districts. peak value 28th April 18th May at all During June decreases...

10.20546/ijcmas.2024.1303.013 article EN International Journal of Current Microbiology and Applied Sciences 2024-03-10

Daily data of 30 years (1987-2016) was used to find rainfall variability & probability distribution, wet dry weeks and incomplete gamma distribution analysis at Parbhani. The annual seasonal has analyzed statistically different statistical parameters like mean, median, standard deviation, coefficient variation, skewness kurtosis. Weekly initial conditional probabilities spell for monsoon post-monsoon rainy season 20 mm, 40 60 mm 80 the 22nd (28th May 3rd June) 48th (26th November 2nd...

10.9734/ijecc/2024/v14i74259 article EN International Journal of Environment and Climate Change 2024-06-29

The weekly rainfall data for 36 years (1981-2016) recorded at Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani were analyzed mean seasonal, and also probabilities. seasonal was 796 mm, received in 38 rainy days. indicated that there is 53% chance of receiving less than 700 mm with variable intensities 36% getting more normal 11% rainfall, between to 800 mm. during crop season 45.8 a CV 116%. Highest 71.8 SD (95.3) (132.7%) 30th MW. Sowing Kharif crops should be undertaken 24th MW 27th...

10.54302/mausam.v71i2.26 article EN cc-by-nc MAUSAM 2021-08-03

An experiment entitled "Effect of weather parameters on crop growth, development and yield Kharif Cotton varieties under extended sowing times" was conducted during 2016-17 at Research farm AICRP, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani season. The field lay out in a split plot design with three replications. There were thirty six treatment combinations comprising four times viz., 24th, 25th, 26th 27th MW as main treatments viz. Ajit-155, Mallika Rashi-2 (779) sub treatments....

10.20546/ijcmas.2018.712.390 article EN International Journal of Current Microbiology and Applied Sciences 2018-12-10

Assessment of impact temperature and CO2 on growth yield rice crop using DSSAT model has been made to assess the these two parameters productivity at south Gujarat region. For this purpose CERES-Rice v4.6.1 was used in which experimental result during kharif, 2016 as baseline under different climatic variability. Crop production is inherently variability climate. Temperature are important related variability, affect a particular region However, basis study carried out region, run rerun for...

10.20546/ijcmas.2019.802.089 article EN International Journal of Current Microbiology and Applied Sciences 2019-02-10

Abstract Assessment of soil moisture availability and timely declaration drought are keys for exemplary relief assistance in water stressed regions. Percent available (PASM) is one among several indices, needs evaluation with respect to individual crop cropping system, as the amount requirement varies its growth stage. Analysis yield variability due PASM was carried out by employing correlation linear regression analyses based on long term observations experiments conducted at different dry...

10.21203/rs.3.rs-653972/v1 preprint EN cc-by Research Square (Research Square) 2021-07-07

सार -परभणी �जले म� क� जाने वाली खे ती �मु ख फसल� से कपास एक है , और यह मराठवाड़ा के ष नकद� फसल । सू आवृ �� वृ

10.54302/mausam.v72i3.1313 article HI cc-by-nc MAUSAM 2021-10-22

The present study was undertaken to analyze annual average rainfall in Gujarat order classify and define the targeted zones know impact of variability on agriculture state. results revealed that Northwest Agro-climatic zone most vulnerable among all agro-climatic due extreme deviations pattern. This followed by north Saurashtra, South saurashtra Middle Zone. southern hills had least per cent years with deviations. Water management practices such as drip irrigation, deepening wells,...

10.54302/mausam.v67i4.1420 article EN cc-by-nc MAUSAM 2016-10-01
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