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Book of Extended summaries ISDA

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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />

Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />

T5-28P-1333<br />

Assessing Impact <strong>of</strong> Dry Spells on Sorghum Productivity over Telangana<br />

State<br />

Santanu Kumar Bal*, N. Manikandan, A.V.M. Subba Rao, M.A. Sarath Chandran<br />

and Fawaz Parapurath<br />

ICAR-Central Research Institute for Dryland Agriculture, Hyderabad – 500059 India<br />

* santanu.bal@icar.gov.in<br />

Rainfed agriculture is practiced over India in 67% <strong>of</strong> net sown area. The livelihood <strong>of</strong> 40%<br />

population <strong>of</strong> the country is supported and 44% <strong>of</strong> food grain production in India is met by this<br />

ecosystem. Rainfall during southwest monsoon period is very crucial for kharif season crops<br />

and the yearly rainfall variation during this season have pr<strong>of</strong>ound impact on the rainfed crop<br />

production. The yield <strong>of</strong> rainfed crops is mainly determined by the distribution <strong>of</strong> southwest<br />

monsoon rainfall or occurrence <strong>of</strong> dry spells during the crop growing period. Sorghum is one<br />

<strong>of</strong> the important rainfed food grain crops and cultivated over 1.19 lakhs ha. in Telangana state<br />

(AAP, 2021). The dry spell is a period where the weather has been dry, for an abnormally long<br />

time, shorter but not as severe as a drought (Wilhite and Glantz, 1985). The frequency <strong>of</strong> dry<br />

spells is <strong>of</strong>ten used as a potential indicator <strong>of</strong> moisture stress conditions, in the management <strong>of</strong><br />

water resource systems, particularly for agriculture (Gocic and Trajkovic, 2013). In this<br />

context, an attempt has been made to develop Dry Spell Index (DSI), to quantify the frequency<br />

and duration <strong>of</strong> dry spells during kharif (June-Sep) season over Telangana state at district level.<br />

Trend in DSI and effect <strong>of</strong> dry spell on sorghum productivity in different districts <strong>of</strong> Telangana<br />

state was also carried out.<br />

Methodology<br />

The district level daily rainfall data for the period 1991-2020 was used in this study to compute<br />

the DSI. The value <strong>of</strong> the dry spell was worked out as the number <strong>of</strong> dry days divided by 7. For<br />

example, the weightage value <strong>of</strong> a dry spell with 7-days duration will be 1.0, 10-days will be<br />

1.43, 14-days will be 2.0 and 21-days will be 3.0 and so on. Later, values <strong>of</strong> all dry spells during<br />

SWM were cumulated and the Dry Spell Index (DSI) was arrived for that season (Bal et al.<br />

2022). The value <strong>of</strong> DSI is directly proportional to the increase in the number and duration <strong>of</strong><br />

dry spells within the season. An algorithm in Fortran program was developed to work out the<br />

DSI for each year for each district in the study area during the period 1991–2020.<br />

The district-wise crop area and productivity <strong>of</strong> sorghum for the period 1997–2016 was<br />

collected from web portal <strong>of</strong> Ministry <strong>of</strong> Agriculture and Farmers Welfare, Government <strong>of</strong><br />

India (http://www.aps.dac.gov.in). Major sorghum growing districts in Telangana state were<br />

selected on the basis <strong>of</strong> average crop growing area <strong>of</strong> sorghum with ≥ 500 ha. The time series<br />

yield data was de-trended using linear regression method (Gommes and Hoefsloot, 2006) for<br />

763 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment

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