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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 />

T6-P40-1441<br />

Intercropping with Sugarcane for DFI in Eastern Uttar Pradesh<br />

Ashok Rai 1 , Shamsher Singh 1 , Ajay K. Rai 1 , Neeraj Singh 2 , Vishal Singh 1<br />

and Vinay Kr. Patel 1<br />

1<br />

Krishi Vigyan kendra (ICAR-IIVR) Sargatia Seorahi, Kushinagar (U.P.) -274406<br />

2 ICAR-IIVR Varanasi (U.P.)<br />

A series <strong>of</strong> experiments was undertaken to assess “Intercropping in sugarcane for DFI in eastern<br />

Uttar Pradesh” at Amawa Khas Nyay panchayat <strong>of</strong> district Kushinagar in eastern Uttar Pradesh<br />

during 2018 to 2020 under National Innovation in Climate Resilient Agriculture (NICRA)<br />

Project. The number <strong>of</strong> farming community members involved in this series <strong>of</strong> demonstration<br />

were 46 in 2018, 100 in 2019 and 118 in 2020. The Experimental results revealed that the gross<br />

monetary returns were higher in sugarcane + potato system as compared to other inter-cropping<br />

systems with sugarcane. Among the inter-cropping systems assessed, sugarcane with potato<br />

was the most remunerative in respect <strong>of</strong> average production/yield at 992.8 q/ha with an average<br />

net return <strong>of</strong> INR 275560.0 and BCR <strong>of</strong> 3.54. The average production <strong>of</strong> Sugarcane-Potato<br />

intercrop was 992.8 q/ ha (Sugarcane- 883.3q/ha and potato 109.5q/ha) as compared to<br />

Sugarcane - Mustard (Sugarcane- 840.7q/ha and Mustard 9.1q/ha), Sugarcane-Lentil<br />

(Sugarcane- 825.4 q/ha and lentil 4.5 q/ha) respectively.<br />

T6-P41-1451<br />

Agricultural Market Intelligence Centre - Forecasting <strong>of</strong> Redgram Prices<br />

in Telangana State by ARIMAX<br />

R. Vijaya Kumari, A. Sreenivas * , G. Ramakrishna and P. Venkatesh<br />

College <strong>of</strong> Agriculture, Pr<strong>of</strong>essor Jayashankar Telangana State Agricultural University, Hyderabad<br />

*akulasreenivas948@gmail.com<br />

The Agricultural Market Intelligence Centre established in PJTSAU with the financial support<br />

<strong>of</strong> the Marketing Department, Government <strong>of</strong> Telangana is developing and disseminating price<br />

forecasts <strong>of</strong> sixteen major agricultural commodities produced in Telangana State. Redgram is<br />

one <strong>of</strong> the major rainfed crops largely cultivated in the state. ARIMAX model has been applied<br />

to forecast redgram prices in Telangana State which includes time series data on rainfall as<br />

input exogenous variable. When an ARIMA model includes other time series as input variables,<br />

the model is referred to as an ARIMAX model. The autoregressive integrated moving average<br />

with exogenous variable (ARIMAX) model can take the impact <strong>of</strong> covariates on the forecasting<br />

into account, improving the comprehensiveness and accuracy <strong>of</strong> the prediction. The ARIMA<br />

and ARIMAX models were compared by setting different combinations <strong>of</strong> input data.<br />

Particularly, ARIMA includes only the monthly model prices, while ARIMAX includes the<br />

Institutional and policy innovations for accelerated and enhanced impacts<br />

890 | Page

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