Book of Extended summaries ISDA
Book of Extended summaries ISDA Book of Extended summaries ISDA
International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad cropping season has been covered as per Climate Resilient Agriculture Program (rabi-2021, summer- 2021, kharif-2021 & rabi- 2021-2022). In all the selected villages, cropping cycle has been covered as per crop calendar prepared as per Climate Resilient Agriculture Program with the help of new generation machineries such as zero tillage multi crop-planter, new turbo happy seeder, raised bed multi crop planter, drum seeder and rice wheat seeder for timely showing of crop, to control weeds and pests (tractor mounted sprayers) have been used for time saving and cost cutting. While for timely harvesting and post-harvest management (SMS based harvester, straw reaper as well as straw baller) is used for harvesting and effective residue management. In CRA programme, eight cropping systems (Rice-Wheat-Mung bean; Rice-Lentil-Mung bean; Maize-Wheat-Mung bean; Rice-Chickpea-Mung bean; Rice-Mustard-Mung bean; Pearl Millet-Wheat-Mung bean; Soybean-Wheat-Mung bean; and Rice-Maize) were demonstrated at farmers field as well at KVK farm of Katihar district relative to that of farmers practices systems are compared and analyzed across the project site. Results Results showed that highest productivity was recorded in Rice - Maize- Mung bean cropping system (160 ha -1 ) followed by Maize – Wheat – Mung bean (121 q ha -1 ), Rice – Wheat – Mung bean (94 q ha -1 ), Soybean – Wheat – Mung bean (68.5q ha -1 ),Rice – Mustard – Mung bean (67 q ha -1 ), Pearl Millet – Wheat – Mung bean (63.5 q ha -1 ), Rice – Lentil – Mung bean ( 63.3 q ha -1 ) and lowest was recoded with Rice – Chickpea – Mung bean ( 63 q ha -1 ) . However, in case of district average productivity for rice – wheat cropping system 56 q ha -1 , respectively. In case of profitability, Results showed that highest profitability recorded in Rice - Maize- Mung bean cropping system (233800 Rs. ha -1 ) followed by Rice – Wheat – Mung bean (167100 Rs. ha -1 ), Soybean – Wheat – Mung bean (154650 Rs. ha -1 .), Maize – Wheat – Mung bean (152800 Rs. ha -1 ), Rice – Lentil – Mung bean (150260 Rs. ha -1 ), Rice – Chickpea – Mung bean (148700Rs. ha -1 ), Rice – Mustard – Mung bean (144600 Rs. ha -1 ), and lowest was recoded with Pearl Millet – Wheat – Mung bean (116700 Rs. ha -1 ). Rice - Maize- Mung bean cropping system with CRA intervention recorded highest productivity (160 ha -1 ) and profitability (233800 Rs. ha -1 ). Thus, we can say that CRA intervention is essential at present changing climate. 300 | Page Climate resilient agriculture for risk mitigation
International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad T2a-27P -1388 Crop Water Requirement and Irrigation Water Management in Changing Climate for Sugarcane Crop in Baghpat District, U.P. Gaurav Sharma, Sandeep Chaudhary, Dev Kumar Krishi Vigyan Kendra, Baghpat, Uttar Pradesh, India, Pin code-250101 Variability in the rainfall pattern over the decade due to human-indulged activities inculcated several miserable circumstances that have elevated the sequences of unpredictable consequences in terms of frequent occurrences of extreme weather events such as drought, storms, flood, heat waves, and increase in water and vector-borne disease issues. Changes in the climatic parameters viz., maximum and minimum temperature, rainfall, relative humidity, sunshine hours, wind speed, and the rate of evapotranspiration had causes severe implications in terms of inadequate water availability, decreased crop production and its yields. Therefore, for effectual crop production and to render the impacts and complications posed by climate variability and human-induced activities efficient irrigation water management is critical. The crop water requirement (CWR) and irrigation water management strategies had been formulated as an objective of this extended summary for the sugarcane crop for the Baghpat district, Uttar Pradesh which will helps in rendering the impediment put forwards. In the above context variability in the rainfall pattern has been evaluated based on seasonal and annual rainfall, number of rainy days, 1-day maximum rainfall whereas crop water requirement (CWR) and irrigation requirement (IR) has been evaluated using CROPWAT software. The scenario based CWR and IR has been computed for normal year, drought year, flooded year and average year (35 years) which was evaluated based on departure analysis of seasonal rainfall. Methodology For climate change detection the expert team on climate change detection indices (ETCCDI) were evaluated. Based on the indices rainy days are counted as days when daily precipitation was greater than 2.5mm and 1-day maximum rainfall was computed as the precipitation observed in a complete year. Crop water requirement is defined as the amount of water needed to compensate the evapotranspiration loss from the cropped field. The crop water requirement is computed as a multiple of crop coefficient value and reference evapotranspiration. FAO Penman–Monteith method (Abeysiriwardana et al., 2022) has been used for computing the reference evapotranspiration using CROPWAT software (Surendran et al., 2015). India Meteorological Department (IMD) criterion was used to evaluate drought year as an area which receives a seasonal rainfall less than 75% of its normal (Appa Rao, 1986). The daily gridded rainfall data of 35 years (1986-2020) had been used to carry out the analysis which was downloaded from Indian Meteorological department (IMD), Pune while Climate resilient agriculture for risk mitigation 301 | Page
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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />
T2a-27P -1388<br />
Crop Water Requirement and Irrigation Water Management in Changing<br />
Climate for Sugarcane Crop in Baghpat District, U.P.<br />
Gaurav Sharma, Sandeep Chaudhary, Dev Kumar<br />
Krishi Vigyan Kendra, Baghpat, Uttar Pradesh, India, Pin code-250101<br />
Variability in the rainfall pattern over the decade due to human-indulged activities inculcated<br />
several miserable circumstances that have elevated the sequences <strong>of</strong> unpredictable<br />
consequences in terms <strong>of</strong> frequent occurrences <strong>of</strong> extreme weather events such as drought,<br />
storms, flood, heat waves, and increase in water and vector-borne disease issues. Changes in<br />
the climatic parameters viz., maximum and minimum temperature, rainfall, relative humidity,<br />
sunshine hours, wind speed, and the rate <strong>of</strong> evapotranspiration had causes severe implications<br />
in terms <strong>of</strong> inadequate water availability, decreased crop production and its yields. Therefore,<br />
for effectual crop production and to render the impacts and complications posed by climate<br />
variability and human-induced activities efficient irrigation water management is critical. The<br />
crop water requirement (CWR) and irrigation water management strategies had been<br />
formulated as an objective <strong>of</strong> this extended summary for the sugarcane crop for the Baghpat<br />
district, Uttar Pradesh which will helps in rendering the impediment put forwards. In the<br />
above context variability in the rainfall pattern has been evaluated based on seasonal and<br />
annual rainfall, number <strong>of</strong> rainy days, 1-day maximum rainfall whereas crop water<br />
requirement (CWR) and irrigation requirement (IR) has been evaluated using CROPWAT<br />
s<strong>of</strong>tware. The scenario based CWR and IR has been computed for normal year, drought year,<br />
flooded year and average year (35 years) which was evaluated based on departure analysis <strong>of</strong><br />
seasonal rainfall.<br />
Methodology<br />
For climate change detection the expert team on climate change detection indices (ETCCDI)<br />
were evaluated. Based on the indices rainy days are counted as days when daily precipitation<br />
was greater than 2.5mm and 1-day maximum rainfall was computed as the precipitation<br />
observed in a complete year. Crop water requirement is defined as the amount <strong>of</strong> water<br />
needed to compensate the evapotranspiration loss from the cropped field. The crop water<br />
requirement is computed as a multiple <strong>of</strong> crop coefficient value and reference<br />
evapotranspiration. FAO Penman–Monteith method (Abeysiriwardana et al., 2022) has been<br />
used for computing the reference evapotranspiration using CROPWAT s<strong>of</strong>tware (Surendran<br />
et al., 2015). India Meteorological Department (IMD) criterion was used to evaluate drought<br />
year as an area which receives a seasonal rainfall less than 75% <strong>of</strong> its normal (Appa Rao,<br />
1986). The daily gridded rainfall data <strong>of</strong> 35 years (1986-2020) had been used to carry out the<br />
analysis which was downloaded from Indian Meteorological department (IMD), Pune while<br />
Climate resilient agriculture for risk mitigation<br />
301 | Page