Constraint Analysis of Redgram Production in Telangana, India

Chetpalli Joyce Sanjuna, R. Vijaya Kumari, T. Lavanya and D. Srinivasa Chary
Additional contact information
Chetpalli Joyce Sanjuna: Department of Agricultural Economics, College of Agriculture, Rajendranagar, PJTAU, India.
R. Vijaya Kumari: Department of Agricultural Economics, College of Agriculture, Professor Jayashankar Telangana Agricultural University, Rajendranagar, Hyderabad 500 030, India.
T. Lavanya: Department of Agricultural Economics, Babu Jagjivan Ram Agricultural College, Sircilla 505 405, Professor Jayashankar Telangana Agricultural University, Rajendranagar, Hyderabad 500 030, India.
D. Srinivasa Chary: Department of Statistics and Mathematics, Applied Agriculture and Basic Sciences, College of Agricultural Engineering, Kandi, Sangareddy 502 001, Professor Jayashankar Telangana Agricultural University, Rajendranagar, Hyderabad 500 030, India.

Post-Print from HAL

Abstract: Background: Pulses are important food crops in India because they provide dietary protein and contribute to soil fertility through biological nitrogen fixation. Redgram (Cajanus cajan) is an important pulse crop grown largely under rainfed conditions, but its productivity and profitability are affected by agronomic, input, labour, credit and market-related constraints. Aims: This study identified and prioritised the major constraints experienced by redgram farmers in Telangana, India. Study Design: A multistage sampling design was used. Place and Duration of Study: The study was conducted through the Department of Agricultural Economics, College of Agriculture, Rajendranagar, PJTAU, during 2024–25. Methodology: Primary data were collected from 120 redgram farmers selected from three agro-climatic zones of Telangana. One district, one mandal and two villages were selected from each zone on the basis of maximum area under redgram cultivation, and 20 farmers were randomly selected from each village. Data were obtained through personal interviews using a structured schedule. The Garrett ranking technique was applied to convert farmers' ranks into scores and to determine the relative severity of constraints. Results: The ranking showed inter-district variation in the severity of constraints, but several problems were common across the study area. Overall, non-availability of credit was the most serious constraint, with a mean score of 73.44 and first rank. Labour shortage and higher wages ranked second, followed by non-remunerative prices, high cost of machinery, unavailability of machinery and equipment, and lack of irrigation water facilities. Farmers also reported constraints related to high cost of plant protection chemicals, lack of technical knowledge, high cost of seed and fertiliser, pest and disease incidence, low seed viability, storage and market facilities. Conclusion: The findings indicate that timely institutional credit, labour-saving mechanisation, improved irrigation access, price support and farmer-oriented extension services are important for reducing constraints in redgram cultivation.

Date: 2026-07-24
References: Add references at CitEc
Citations:

Published in Archives of Current Research International, 2026, 26 (8), pp.283-289

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05704736

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().