Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
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    Links to: zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (7.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: AgrDataSci
  • License: cc-by-4.0
  • Language: R
  • Default Branch: main
  • Size: 691 KB
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Created about 3 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

License DOI <!-- badges: end -->

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

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

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Last synced: 8 months ago

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  • kauedesousa (3)
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