Skip to main navigation menu Skip to main content Skip to site footer

Research Articles

Early Access

Assessing yield gap in paddy cultivation: A case study from Shivamogga district, Karnataka

DOI
https://doi.org/10.14719/pst.6031
Submitted
21 October 2024
Published
29-01-2025
Versions

Abstract

Paddy cultivation is a cornerstone of India’s agricultural economy, with Karnataka emerging as a key contributor to this sector. Despite its significance, persistent yield gaps across various paddy varieties pose a considerable challenge to achieving optimal productivity. These yield gaps primarily stem from factors such as traditional farming practices, resource availability, and varying environmental conditions. This study aimed to comprehensively assess the yield gap of paddy varieties specifically in the Shivamogga district of Karnataka, employing an ex-post facto research design to identify key factors influencing yield gaps. Data were systematically collected from a sample of 197 farmers using a structured interview schedule, ensuring a comprehensive analysis. The study identified four primary paddy varieties cultivated by the respondents: Jyothi, JGL-1798, MTU-1001, and MTU-1010 representing the major paddy varieties in the region. Notably, the highest yield gap was observed in the JGL-1798 variety, recording a gap of 19.33 quintals per hectare, followed closely by MTU-1010 at 18.89 q/ha, MTU-1001 at 17.50 q/ha, and Jyothi at 13.42 q/ha. The Jyothi variety exhibited the lowest yield gap, highlighting its superior adaptability and market preference. This study underscores the critical need to address the underlying factors contributing to yield gaps through enhanced agricultural practices and technology dissemination, ultimately fostering increased productivity and contributing to food security and farmers’ income in Karnataka.

References

  1. Food and Agriculture Organization (FAO). Rice Market Monitor. Rome: Food and Agriculture Organization of the United Nations; 2006
  2. Agristat India. Rice Commodity Profile of India; 2018
  3. National Food Security Mission Report. State-wise yield gap analysis between front-line demonstration yield and state average yield of rice in India; 2015
  4. Gebbers R, Adamchuk VI. Precision agriculture and food security. Science. 2010;327(5967):828–31. https://doi.org/10.1126/science.1183899
  5. Ghimire R, Huang W, Shrestha RB. Factors affecting adoption of improved rice varieties among rural farm households in Central Nepal. Rice Science. 2015;22(1):35–43. https://doi.org/10.1016/j.rsci.2015.05.006.
  6. Jabber MA, Jones RP. The growth of MV rice production and adoption in Bangladesh. Bangladesh J Agric Econ. 1997;20(2):1–19. https://doi.org/10.22004/ag.econ.202335
  7. Golder PC, Sastry RK, Srinivas K. Research priorities in Bangladesh: analysis of crop production trends. South Asian J Agric. 2014;11(1):53–70. https://doi.org/10.3329/sja.v11i1.18375
  8. Singh P, Aggarwal P, Bhatia VS, Murty MVRK, Pala M, Oweis T, et al. Yield gap analysis: modelling of achievable yields at farm level. In: Wani SP, editors. Rainfed agriculture: unlocking the potential. New Delhi: CABI Publishing; 2009. p. 81–123. https://doi.org/10.1079/9781845933890.0081
  9. Pushpa, Srivastava SK. Yield gap analysis and the determinants of yield gap in major crops in the eastern region of Uttar Pradesh. Econ Aff. 2014;178:653–62. https://doi.org/10.5958/0976-4666.2014.00039.4

Downloads

Download data is not yet available.