Skip to main content
×
Home
    • Aa
    • Aa

Exploring the supply and demand factors of varietal turnover in Indian wheat

  • V. V. KRISHNA (a1), D. J. SPIELMAN (a2) and P. C. VEETTIL (a3)
Summary
SUMMARY

Cultivar depreciation – the gradual decline in relative advantage of a cultivated variety over time – accentuates the vulnerability of resource-poor farmers to production risks. The current paper addresses constraints in combating cultivar depreciation of wheat in India. National level data on quoted demand for breeder seeds and breeder seed production indicated a slowdown in the rate of cultivar turnover of wheat, with average varietal age increasing from 9 years in 1997 to 12 years in 2009. Analysis of cultivar adoption patterns among farmer households of Haryana State also indicates that farmers prefer cultivars that were released a decade ago over the recent ones. Cultivar turnover rates are found to be particularly low among marginal farmers. While the structure of India's wheat breeding and seed delivery systems might be the primary cause of slow cultivar turnover, a number of social and economic factors at the micro-level are also responsible. Many of the constraints to technology adoption and wheat productivity growth, identified during the Green Revolution era, persist even today.

Copyright
Corresponding author
*To whom all correspondence should be addressed. Email: vkrishn@gwdg.de
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

O. Bandiera & I. Rasul (2006). Social networks and technology adoption in northern Mozambique. Economic Journal 116, 869902.

G. E. Battese (1997). A note on the estimation of Cobb-Douglas production functions when some explanatory variables have zero values. Journal of Agricultural Economics 48, 250252.

B. S. Chauhan , G. Mahajan , V. Sardana , J. Timsina & M. L. Jat (2012). Productivity and sustainability of the rice-wheat cropping system in the Indo-Gangetic Plains of the Indian subcontinent: problems, opportunities, and strategies. Advances in Agronomy 117, 315369.

T. G. Conley & C. R. Udry (2010). Learning about a new technology: pineapple in Ghana. American Economic Review 100, 3569.

C. R. Doss (2006). Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement. Agricultural Economics 34, 207219.

E. Duflo , M. Kremer & J. Robinson (2011). Nudging farmers to use fertilizer: theory and experimental evidence from Kenya. American Economic Review 101, 2350–90.

O. Erenstein , U. Farooq , R. K. Malik & M. Sharif (2008). On-farm impacts of zero tillage wheat in South Asia's rice-wheat systems. Field Crops Research 105, 240252.

G. Feder & G. T. O'Mara (1981). Farm size and the diffusion of green revolution technology. Economic Development and Cultural Change 30, 5976.

A. D. Foster & M. R. Rosenzweig (1995). Learning by doing and learning from others: human capital and technical change in agriculture. Journal of Political Economy 103, 11761209.

A. D. Foster & M. R. Rosenzweig (2010). Microeconomics of technology adoption. Annual Review of Economics 2, 395424.

P. W. Heisey & J. P. Brennan (1991). An analytical model of farmers’ demand for replacement seed. American Journal of Agricultural Economics 73, 10441052.

A. K. Joshi , B. Mishra , R. Chatrath , G. O. Ferrara & R. P. Singh (2007). Wheat improvement in India: present status, emerging challenges and future prospects. Euphytica 157, 431446.

D. Karlan , R. Osei , I. Osei-Akoto & C. Udry (2014). Agricultural decisions after relaxing credit and risk constraints. The Quarterly Journal of Economics 129, 597652.

C. F. Manski (1993). Identification of endogenous social effects: the reflection problem. The Review of Economic Studies 60, 531542.

I. Matuschke & M. Qaim (2009). The impact of social networks on hybrid seed adoption in India. Agricultural Economics 40, 493505.

K. Munshi (2004). Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution. Journal of Development Economics 73, 185213.

S. Rashid , P. A. Dorosh , M. Malek & S. Lemma (2013). Modern input promotion in sub-Saharan Africa: insights from Asian green revolution. Agricultural Economics 44 (Sp Issue), 705721.

M. P. Reynolds & N. E. Borlaug (2006). Impacts of breeding on international collaborative wheat improvement. The Journal of Agricultural Science, Cambridge 144, 317.

M. Smale , J. Singh , S. Di Falco & P. Zambrano (2008). Wheat breeding, productivity and slow variety change: evidence from the Punjab of India after the Green Revolution. The Australian Journal of Agricultural and Resource Economics 52, 419432.

D. J. Spielman , D. E. Kolady , A. Cavalieri & N. C. Rao (2014). The seed and agricultural biotechnology industries in India: an analysis of industry structure, competition, and policy options. Food Policy 45, 88100.

J. Timsina & D. J. Connor (2001). Productivity and management of rice-wheat cropping systems: issues and challenges. Field Crops Research 69, 93132.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

The Journal of Agricultural Science
  • ISSN: 0021-8596
  • EISSN: 1469-5146
  • URL: /core/journals/journal-of-agricultural-science
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Full text views

Total number of HTML views: 3
Total number of PDF views: 30 *
Loading metrics...

Abstract views

Total abstract views: 261 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 21st July 2017. This data will be updated every 24 hours.