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On-farm management of rice genetic diversity: understanding farmers' knowledge on rice ecosystems and varietal development

Rana , R. B., Garforth, C., Sthapit , B. , Subedi , A., Chaudhary, P. and Jarvis, D. (2007) On-farm management of rice genetic diversity: understanding farmers' knowledge on rice ecosystems and varietal development. Plant Genetic Resources Newsletter, 152. pp. 58-64. ISSN 1020-3362

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The paper highlights the methodological development of identifying and characterizing rice (Oryza sativa L.) ecosystems and the varietal deployment process through participatory approaches. Farmers have intricate knowledge of their rice ecosystems. Evidence from Begnas (mid-hill) and Kachorwa (plain) sites in Nepal suggests that farmers distinguish ecosystems for rice primarily on the basis of moisture and fertility of soils. Farmers also differentiate the number, relative size and specific characteristics of each ecosystem within a given geographic area. They allocate individual varieties to each ecosystem, based on the principle of ‘best fit’ between ecosystem characteristics and varietal traits, indicating that competition between varieties mainly occurs within the ecosystems. Land use and ecosystems determine rice genetic diversity, with marginal land having fewer options for varieties than more productive areas. Modern varieties are mostly confined to productive land, whereas landraces are adapted to marginal ecosystems. Researchers need to understand the ecosystems and varietal distribution within ecosystems better in order to plan and execute programmes on agrobiodiversity conservation on-farm, diversity deployment, repatriation of landraces and monitoring varietal diversity. Simple and practical ways to elicit information on rice ecosystems and associated varieties through farmers’ group discussion at village level are suggested.

Item Type:Article
Divisions:Life Sciences > School of Agriculture, Policy and Development > Department of International Development
Interdisciplinary centres and themes > Soil Research Centre
ID Code:24801
Publisher:Bioversity International

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