Informatics Publishing Limited

Suresh Kumar ¹, Girish Kumar Jha ¹, Dharam Raj Singh ¹, H. Biswas ²

Affiliations
1 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
2 ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Bellary 583 104, IN

Abstract

The present study estimates the social cost of growing paddy, wheat and legumes as Rs 9484, 8804 and 1281 per ha respectively. Monetized value of overall risk in paddy, wheat and legumes is Rs 716, 650 and 1738 per ha respectively. An economic incentive consisting of risk and social benefits, to the tune of Rs 8611 and 9225 per ha over wheat and paddy respectively, should be provided for the production of legumes. The study highlights the need to internalize environmental benefits of legumes vis-à-vis competing crops, and accordingly cultivation of legumes needs to be encouraged through a proper mechanism of incentivization.

Keywords

Economic Incentive, Environmental Benefits, Legumes, Risk Sharing, Rice, Wheat.

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Shenaz Rasheed ¹, P. Venkatesh ¹, Dharam Raj Singh ¹, V. R. Renjini ¹, Girish Kumar Jha ¹, Dinesh Kumar Sharma ²

Affiliations
1 Division of Agricultural Economics, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN
2 Centre for Environment Science and Climate Resilient Agriculture, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN

Abstract

Traditional paddy varieties are climate resilient, local stress-tolerant, low-input intensive and valuable sources of genetic diversity that have been under the threat of extinction from rising preferences for high yielding varieties. However, farmers in few pockets of the globe continue to cultivate traditional paddy varieties. This study therefore is an attempt at investigating who cultivates them and why they do so, through the survey of 225 paddy farmers in Wayanad district of Kerala. Results revealed that traditional paddy varieties were grown mainly by marginal and tribal farmers for chief purposes of self-consumption, and for associated traditional values and conservation. Farmers’ varietal selection decisions were found to be influenced by varietal traits related to consumption aspects, consumer demand, pest and disease resistance. Therefore, by cultivating traditional paddy varieties, farmers have been conserving these valuable genetic resources on-farm. However, stronger concerted institutional interventions are required for full-fledged, systematic and sustained in situ conservation of agricultural biodiversity

Keywords

Agrobiodiversity, in-situ conservation, traditional paddy varieties, varietal traits.

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Rajeev Ranjan Kumar ¹, Girish Kumar Jha ², Ronit Jaiswal ¹, Kapil Choudhary ¹

Affiliations
1 ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, IN
2 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN

Abstract

For the modelling of time series data having long memory properties, we generally use the autoregressive fractionally integrated moving average (ARFIMA) model. This model performs well compared to the autoregressive integrated moving average (ARIMA) model. However, it cannot capture the nonlinear property of the data. In order to achieve the desired and accurate forecasts, hybridizing the existing forecasting models is an important technique. The hybrid time-series model combines the strength of individual models. Accordingly, this study proposes a hybrid model based on ARFIMA and extreme learning machine (ELM) for agricultural time-series data with long memory properties. For evaluation of the proposed model, the daily mustard price (₹/q) of Agra and Bharatpur markets from 1 January 2016 to 31 January 2020 was used. Empirical results show that the forecasting performance of the proposed hybrid model based on ARFIMA and ELM is better than the existing models.

Keywords

Hybrid Model, Long Memory, Mustard, Price Forecasting, Time-Series Data.

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