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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad obtaining stationary yield data. Mann Kendall test, a non-parametric test was employed to find the trend in DSI and the significance in the trend was detected by two-tailed test at 95% probability levels. Pearson’s correlation coefficients of de-trended sorghum yield with DSI were worked out for all selected districts of Telangana. Results The DSI value ranged between 3.6 and 8.2 in different districts of Telangana state. The spatial distribution of average DSI over the period 1991–2020 across the districts indicate that, it was highest (8.2) in Jogulamba Gadwal district followed by Nalgonda (8.10) and Hyderabad (8.01) while the lowest DSI was observed in Bhadradri Kothagudam (3.6) followed by J. Bhupalpally (3.9), Mancherial and Komaram Bheem (4.0) (Fig. 1a). Mann-Kendall trend analysis showed that the DSI is declining in all the districts of Telangana. However, significant decreasing trend (at 5% level) was noticed in Adilabad, Hyderabad, Kamareddy, Karimnagar, Khammam, Nizamabad, Siddipet, Suryapet and Yadagiri Bhuvagiri districts (Fig. 1b). This indicate that the occurrence of dry spells and its duration has reduced during the study period. The Pearson correlation analysis indicate that around 41 per cent area under sorghum in Telangana state is having significant negative correlation with DSI. Conclusion In the present study Dry Spell Index was computed to find the spatial distribution, trend and influence of dry spells during kharif (June-Sep) season on sorghum productivity over Telangana state at district level. Results indicate that, the highest (8.2) DSI was noticed in Jogulamba Gadwal district and the lowest DSI in Bhadradri Kothagudam (3.6) district. Significant decreasing trend (at 5% level) in DSI was noticed in Adilabad, Hyderabad, Kamareddy, Karimnagar, Khammam, Nizamabad, Siddipet, Suryapet and Yadagiri Bhuvagiri districts. Significant negative relationship was observed in 41 per cent sorghum growing area of Telangana district. Further study is required to find the dry spell occurrence with in the crop growing period or different phenological stages of the crop using DSI to assess the influence on crop yield. References AAP, 2021. Agriculture Action Plan 2020-21. Department of Agriculture, government of Telangana, Hyderabad, 130p. Bal S., Sandeep V.M, Vijaya Kumar P, Subba Rao A.V.M., Pramod V.P, Manikandan N, Srinivasa Rao, Singh N.P. and Bhaskar S. (2022). Assessing impact of dry spells on the principal rainfed crops in major dryland regions of India. Agric. Meteorol., 313, 108768 https://doi.org/10.1016/j.agrformet.2021.108768 Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 764 | Page
International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad Gocic M and Trajkovic S. (2013). Analysis of changes in meteorological variables using Mann–194 Kendall and Sen’s slope estimator statistical tests in Serbia. Global Planetary Change, 100 (1): 172–182. https://doi.org/10.1016/j.gloplacha.2012.10.014 Gommes and Hoefsloot (2006). Crop Monitoring Box documentation, Chapter 4.2. Analysis of time series of climate and crops to identify trends. Detrending yield, http://www. https://www.hoefsloot.com/wiki/index.php?title=Chapter14 Spatial distribution of DSI (a) and its trend (b) over Telangana State 765 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment
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Extended Summaries 22-24 December,
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Citation Rama Rao, C.A., Srinivasa
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Resilience through land and water m
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International Conference on Reimagi
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Theme- 2 Ecosystem based approaches
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Resource conservation and rainfed a
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