Q method to map the diversity of stakeholder viewpoints along agricultural innovation systems: A case study on cattle genetic improvement in Niger



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https://www.researchgate.net/publication/324041294_Q_method_to_map_the_diversity_of_stakeholder_viewpoints_along_agricultural_innovation_systems_A_case_study_on_cattle_genetic_improvement_in_Niger
DOI: 
10.5194/aab-61-143-2018
Provider: 
Licensing of resource: 
Creative Commons Attribution (CC BY)
Type: 
journal article
Journal: 
Archives of Animal Breeding
Number: 
61
Pages: 
143-151
Author(s): 
Seyni S.
Moula N.
Hamadou I.
Issa S.
Hamani M.
Leroy P.
Antoine-Moussiaux N.
Description: 

The complex balance between innovation and conservation regarding animal genetic resources makes it difficult to find mutually accepted improvement pathways between breeders, government agencies, and research and education institutions. This study maps stakeholder viewpoints on cattle genetic improvement in Niger using the Q method. Fifty-three statements derived from expert opinions and focus group interviews were ranked by 22 respondents along a seven-grade scale expressing their degree of approval. The Q method reveals a limited consensus on development goals, overall strategy, and the present context of operation. Beyond this consensus, three discourses are identified that express distinct attitudes regarding the balance between conservation and progress, leading to distinct strategies. The first discourse fits with a modernist vision and government strategies established in the 2000s based on exotic crossbreeding and improved purebred Azawak. The second discourse lines up with the previous livestock development strategy of Niger (before 2000) based on indigenous breeds. The third discourse represents a conservationist vision, with minor importance in the present sampling. Tentative observations are proposed on the consequences of this divide in opinions on livestock policies in Niger, including extension. The Q method appears effective in identifying the concerns of stakeholders on complex agricultural innovation topics. As a sensing tool to follow-up policy implementation in similarly complex agricultural topics, the Q method may inform adaptive extension and education strategies

Publication year: 
2018