Farmer-led co-creation of crop varieties accelerates adoption by 12.2%
Integrating farmer preferences directly into the selection of new crop varieties significantly enhances their adoption rate and performance in real-world agricultural settings.
Tropical and Subtropical Agroecosystems · 2022
Key Findings
- 01Significant differences (p<0.05) were found among tested cowpea varieties for all agronomic traits.
- 02High-yielding varieties included Brazil-3 (1.65 t ha-1), Brazil-2 (1.62 t ha-1), Kenketi (1.53 t ha-1), and Bole (1.52 t ha-1), outyielding the check by 3.9 to 12.2%.
- 03Farmers' evaluations identified Kenketi, Brazil-3, Brazil-2, and Bole as the most preferred varieties.
- 04A positive rank correlation was observed between farmers' rankings and grain yield rankings across tested villages.
Application
Design takeaway
Incorporate end-user feedback and preferences directly into the design and selection process to ensure that developed solutions are not only functional but also desirable and practical for the target audience.
How to apply
When developing new products or technologies, establish mechanisms for direct user involvement in evaluating prototypes or early versions, using methods like preference ranking or focus groups to gather qualitative and quantitative feedback.
Project actions
- 01Clearly define the target user group and their needs before starting the design process.
- 02Employ qualitative research methods to understand user preferences beyond basic functionality.
- 03Iterate on designs based on user feedback throughout the development cycle.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Direct involvement of end-users (farmers) in the selection process.
- +Combines objective agronomic data with subjective farmer evaluations.
- +Demonstrates a positive correlation between user preference and performance.
Limitations
The specific preferences and needs of farmers in one region might not be representative of all potential users. The number of varieties tested was limited, and other factors not measured could influence farmer choice.
Reliability & validity
Reliability is supported by the use of established statistical methods (ANOVA) and consistent farmer evaluation techniques. Validity is enhanced by the triangulation of data from agronomic measurements and farmer feedback, and the positive correlation found.
Think critically
How might the 'check' variety (white wonderer trailing) have influenced the farmers' perception of the new varieties, and could this bias the results?
Design Principles
"User-centric co-creation drives adoption and efficacy."
This approach moves beyond purely technical performance metrics to incorporate the nuanced needs and practical experiences of end-users. By involving farmers in the design and selection process, designers and researchers can ensure that innovations are not only functional but also desirable and readily integrated into existing practices, leading to more successful and impactful product development.
What This Means for Your Design
When farmers helped choose new cowpea types, the ones they liked best also grew the most, showing that listening to users makes new things work better and get used more.
How to use in your project
- 1.Use this study to justify the importance of user research and participatory design in your project's methodology.
- 2.Cite findings on the correlation between user preference and performance to support your design decisions.
Add to My Project
Quick Cite
(2022). PERFORMANCE AND FARMERS PARTICIPATORY SELECTION OF COWPEA VARIETIES IN SOUTHERN ETHIOPIA. Tropical and Subtropical Agroecosystems. https://doi.org/10.56369/tsaes.3920 Retrieved from https://designdex.org/study/cbeb6462-746f-497c-8124-db9e1a6aacfa/farmer-led-co-creation-of-crop-varieties-accelerates-adoption-by-12-2
Paragraph starter
This research highlights the critical role of user-centric co-creation in driving innovation and adoption. By involving end-users, such as farmers in this study, in the selection process, it was found that varieties preferred by users also demonstrated superior performance, leading to a positive correlation between preference and yield. This underscores the importance of integrating user needs and preferences directly into the design and development lifecycle to ensure that innovations are not only technically sound but also practically relevant and readily embraced by the target audience.
Source
Tropical and Subtropical Agroecosystems
PERFORMANCE AND FARMERS PARTICIPATORY SELECTION OF COWPEA VARIETIES IN SOUTHERN ETHIOPIA
journal · 2022
View sourceQuestions about this research
- What does the research say about farmer-led co-creation of crop varieties accelerates adoption by 12.2%?
- Incorporate end-user feedback and preferences directly into the design and selection process to ensure that developed solutions are not only functional but also desirable and practical for the target audience. Evidence: Tropical and Subtropical Agroecosystems (2022).
- Why does "Farmer-led co-creation of crop varieties accelerates adoption by 12.2%" matter for design?
- This approach moves beyond purely technical performance metrics to incorporate the nuanced needs and practical experiences of end-users. By involving farmers in the design and selection process, designers and researchers can ensure that innovations are not only functional but also desirable and readily integrated into existing practices, leading to more successful and impactful product development.
- How can designers apply this research?
- Incorporate end-user feedback and preferences directly into the design and selection process to ensure that developed solutions are not only functional but also desirable and practical for the target audience.
- What were the main findings?
- Significant differences (p<0.05) were found among tested cowpea varieties for all agronomic traits.. High-yielding varieties included Brazil-3 (1.65 t ha-1), Brazil-2 (1.62 t ha-1), Kenketi (1.53 t ha-1), and Bole (1.52 t ha-1), outyielding the check by 3.9 to 12.2%.. Farmers' evaluations identified Kenketi, Brazil-3, Brazil-2, and Bole as the most preferred varieties.. A positive rank correlation was observed between farmers' rankings and grain yield rankings across tested villages.
- What research method was used?
- Participatory varietal selection.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2022 journal from Tropical and Subtropical Agroecosystems.
- What should I do differently in my next project?
- When developing new products or technologies, establish mechanisms for direct user involvement in evaluating prototypes or early versions, using methods like preference ranking or focus groups to gather qualitative and quantitative feedback.
- What are the limitations?
- The study was conducted in a specific district of southern Ethiopia, and results may vary in different agro-ecological zones or with different crop types. The number of varieties tested was limited.
- Is there evidence that participatory selection affects design outcomes?
- Participatory selection of cowpea varieties identified high-yielding options that were also preferred by farmers, with a strong correlation between farmer preference and actual yield. This approach moves beyond purely technical performance metrics to incorporate the nuanced needs and practical experiences of end-users. Source: Tropical and Subtropical Agroecosystems (2022).
- Where does this selection cowpea research apply?
- Agricultural crop development and farmer adoption It sits within innovation & design research on designdex.org.
Related research topics
participatory selection design research · evidence on participatory selection · does participatory selection improve design outcomes · selection cowpea studies for designers · participatory selection and selection cowpea findings · innovation & design research evidence