The Major Factors Influencing Productivity of Coffee : A Study of Kodagu District in Karnataka

Authors

  •   M. K. Gana Shruthy PhD Student, Agriculture Department and Rural Transformation Centre (ADRTC), Institute for Social and Economic Change (ISEC), Nagarabhavi, Bangalore
  •   Parmod Kumar Professor, Agriculture Department and Rural Transformation Centre (ADRTC), Institute for Social and Economic Change (ISEC), Nagarabhavi, Bangalore

DOI:

https://doi.org/10.17010/aijer/2017/v6i2/114125

Keywords:

Productivity

, Factors, Elevation, Rainfall, Shade, White Stem Borer, Age

O0

, P0, Q5

Paper Submission Date

, December 3, 2016, Paper sent back for Revision, January 24, 2017, Paper Acceptance Date, April 10, 2017.

Abstract

The research work was conducted to determine the emerging factors impacting productivity of coffee in Kodagu district, Karnataka. To achieve this, a survey was conducted in Kodagu from March to July 2016, covering 120 coffee growers from six coffee liaison zones. The regression coefficients of mean annual rainfall (inches), rainfall during critical period (inches), age of coffee trees (years), and area under coffee (ha) were found to be significantly positive, while the elevation (meters), white stem borer (number of plants uprooted per ha), and number of shade trees per hectare were found to be significantly negative. The study suggests Arabica cultivation at a higher elevation, rejuvenation of old coffee trees, conservation of more shade trees, and alternative irrigation during critical period could enhance productivity in the long run, while the development of pest resistance varieties, combined and coordinated research could effectively control white stem borer in Indian Arabica.

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Published

2017-04-01

How to Cite

Gana Shruthy, M. K., & Kumar, P. (2017). The Major Factors Influencing Productivity of Coffee : A Study of Kodagu District in Karnataka. Arthshastra Indian Journal of Economics & Research, 6(2), 20–28. https://doi.org/10.17010/aijer/2017/v6i2/114125

Issue

Volume 6, Issue 2, March-April 2017

Section

Agricultural and Natural Resource Economics
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