https://github.com/agrdatasci/amaranth-worldveg
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.4%) to scientific vocabulary
Last synced: 9 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: AgrDataSci
- License: cc-by-4.0
- Language: R
- Default Branch: main
- Size: 21.5 MB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 3 years ago
· Last pushed about 1 year ago
https://github.com/AgrDataSci/amaranth-worldveg/blob/main/
[](https://creativecommons.org/licenses/by/4.0/deed.en) [](https://doi.org/10.5281/zenodo.15204183) ## Replication data for: Citizen science informs demand-driven breeding of opportunity crops > Voss, Rachel; de Sousa, Kau; N'Danikou, Sognigbe; Shango, Abdul; Aglinglo, Lys; Laporte, Marie-Anglique; Legba, Eric; Houdegbe, Carlos; Diarra, Danfing; Dolo, Aminata; Sidibe, Amadou; Ouedraogo, Colette; Coulibaly, Harouna; Achigan Dako, Enoch; Kileo, Aishi ; Malulu, Dickson; Matumbo, Zamira ; Dinssa, Fekadu; van Heerwaarden, Joost ; Van Etten, Jacob ; Riar, Amritbir; van Zonneveld, Maarten ### Summary RATIONALE: Opportunity crops, also known as neglected and underutilized species (NUS), offer benefits to diversify food systems with nutritious and climate-resilient foods. A major limitation to incorporate these crops in farming systems is the lack of improved varieties, which impedes farmers from accessing quality planting materials of these crops. The study explored how citizen science methods can support demand-driven breeding and seed production of NUS using leafy amaranth a nutritious and hardy vegetable - as a case study. The study identified farmer preferences and market segments, with particular attention to gender and social differentiation. METHODS: We used the tricot approach to conduct participatory on-farm trials of 14 varieties with 2,063 farmers from Benin, Mali, and Tanzania. We then analyzed farmer trait and varietal preferences in aggregate and among segments of farmers, using cluster analysis. RESULTS: Farmers overall preferences for amaranth varieties was driven principally by plant survival, yield, leaf size, taste, and marketability. Distinct farmer segments (older women generalists, young women specialists, older men generalists, and young men specialists) preferred different varieties depending on gender, and business-orientation. CONCLUSION: The identified farmer segments, along with their unique variety preferences, provide valuable information for breeders and seed enterprises, and support demand-driven amaranth breeding and seed system development. The methods used and lessons learned from our citizen science exercise can be applied to enhance breeding and seed supply of other opportunity crops that are underutilized in Africa and elsewhere. ### Keywords African traditional vegetables, amaranth, data-driven agriculture, market segmentation, neglected and underutilized crops, socioeconomic heterogeneity, tricot approach
Owner
- Name: AgrDataSci
- Login: AgrDataSci
- Kind: organization
- Email: k.desousa@cgiar.org
- Location: France
- Repositories: 8
- Profile: https://github.com/AgrDataSci
We develop methods and tools to support sustainable food systems, rural development and digital inclusion
GitHub Events
Total
- Release event: 1
- Public event: 1
- Push event: 3
- Create event: 1
Last Year
- Release event: 1
- Public event: 1
- Push event: 3
- Create event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| kauedesousa | k****a@i****o | 26 |
| geonkang92 | 9****2 | 7 |
Committer Domains (Top 20 + Academic)
inn.no: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0