Gamification of farmer-participatory priority setting in plant breeding: Design and validation of "AgroDuos". Issue 3 (4th May 2017)

• Record Type: Journal Article
• Authors: Steinke, Jonathan; van Etten, Jacob
• Is Part Of: Journal of crop improvement. Volume 31:Issue 3(2017)
• Page Start: 356
• Page End: 378
• Publication Date: 2017-05-04
• Subjects: Citizen science -- conjoint analysis -- farmer preferences -- gamification -- Honduras -- plant breeding -- priority setting; Crop science -- Periodicals; 631.5
• DOI: 10.1080/15427528.2017.1303801
• Languages: English
• ISSNs: 1542-7528

Abstract

ABSTRACT: Participatory methods to characterize farmers' needs and preferences play an important role in plant breeding to ensure that new varieties fulfill the needs and expectations of end users. Different farmer-participatory methods for priority setting exist, each one responding differently to trade-offs between various requirements, such as replicability, simplicity, or granularity of the results. All available methods, however, require training, academic skill, and staff time of specially qualified professionals. Breeding and variety replacement may be accelerated by empowering non-academic organizations, such as NGOs and farmer organizations, to carry out farmer-participatory priority setting. But for this use context, currently no suitable method is available. A new method is needed that demands relatively low skill levels from enumerators and respondents, engages farmers without the need for extrinsic incentives, and gives statistically robust results. To achieve these objectives, we followed principles of "gamification" in the design of AgroDuos, a choice experiment that resembles a card game and that involves pairwise ranking of variety traits. We tested the method in a pilot with 39 farmers in Honduras to define their trait priorities for common bean ( Phaseolus vulgaris L.). To validate our results, we independently carried out conjoint analysis, an established method for priority setting in plant breeding. We found that AgroDuos produced valid and useful results while enabling rapid, easy, and engaging data collection. Challenges persist concerning local adaptation and data analysis by non-specialist staff, which may be resolved in the future by providing templates and online support.