bean-yield-estimation
Science Score: 67.0%
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
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Low similarity (7.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AgrDataSci
- License: cc-by-4.0
- Language: R
- Default Branch: main
- Size: 691 KB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Replication code and data for: Accuracy of farmer-generated yield estimations of common bean in decentralised on-farm trials in sub-Saharan Africa
Mabel Nabateregga, Hugo Dorado-Betancourt, Svein Ø Solberg, Jacob van Etten, Joost van Heerwaarden, Theresia Gregory, Kauê de Sousa
Abstract Improving agricultural productivity and resilience is essential to meet future food needs in sub-Saharan Africa under changing climate conditions. Achieving this will necessitate the development of high-yielding locally adapted crop varieties to mitigate the impacts of climate change. Despite advancements in crop improvement, varietal turnover in smallholder farms remains notably low. Continuous turnover of locally adapted varieties is essential, necessitating active dissemination of new varieties and withdrawal of obsolete ones across diverse target populations using participatory breeding approaches. A decentralised experimental approach, known as tricot, supported by citizen science, has proven effective in accelerating genotype selection while promoting inclusivity and diversity. However, the methodology has strongly relied on farmer-generated rankings, which provide relative performance insights but fall short in informing breeders with absolute yield data, limiting the ability to measure genetic gain or assess economic returns on breeding investments. To address this gap, we validated the accuracy of farmer-generated yield data for common bean (Phaseolus vulgaris L.), by comparing it with technician-generated volumes and researcher-generated absolute yield data. Results revealed strong correlations between farmer and technician volumes (r = 0.96, p < 0.001). The mean difference in farmer-technician log-yield was close to zero, indicating significant agreement. We further developed a predictive model to estimate absolute yields using farmer showing minimal influence from intrinsic and extrinsic factors. Our findings demonstrate that farmer-generated yield data can reliably inform breeding decisions and support the accelerated turnover of improved varieties. Integrating such data into breeding programs offers a cost-effective and scalable pathway to enhance agricultural productivity and sustainability across smallholder systems in sub-Saharan Africa.
Keywords crop yield, smallholder farms, participatory plant breeding, 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
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this dataset or software, please cite it as below."
title: "Replication code and data for: Accuracy of farmer-generated yield estimations of common bean in decentralised on-farm trials in sub-Saharan Africa"
version: "v1.0"
date-released: 2025-04-16
authors:
- family-names: Nabateregga
given-names: Mabel
orcid: https://orcid.org/0000-0002-6731-152X
affiliation: "University of Inland Norway"
- family-names: Dorado-Betancourt
given-names: Hugo
orcid: https://orcid.org/0000-0002-0103-7505
affiliation: "Wageningen University and Research"
- family-names: van Etten
given-names: Jacob
orcid: https://orcid.org/0000-0001-7554-2558
affiliation: "University of Inland Norway"
- family-names: van Heerwaarden
given-names: Joost
orcid: https://orcid.org/0000-0002-4959-3914
affiliation: "Wageningen University and Research"
- family-names: de Sousa
given-names: Kauê
orcid: https://orcid.org/0000-0002-7571-7845
affiliation: "Alliance Bioversity International – CIAT; University of Inland Norway"
repository-code: https://github.com/AgrDataSci/bean-yield-estimation
license: CC-BY-4.0
keywords:
- crop yield
- smallholder farms
- participatory plant breeding
- tricot approach
GitHub Events
Total
- Release event: 1
- Push event: 2
- Public event: 1
- Create event: 1
Last Year
- Release event: 1
- Push event: 2
- Public event: 1
- Create event: 1
Issues and Pull Requests
Last synced: 8 months ago
All Time
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- Total pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
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- Pull requests: 0
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- 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
Top Authors
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- kauedesousa (3)