ArticleCommunications biology2021
Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Estimating on-farm genotypic performance and variability using ranking data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Smart breeding for diversified agricultural systems.Nature food · 2026Article
- Efficiency of indirect selection in sorghum breeding for target production environments in moisture deficit areas of Ethiopia.Scientific reports · 2026Article
- Predicting enviromically adapted varieties with big data.Genome biology · 2026Article
- Harnessing multi-omics and genome-editing technologies for climate-resilient agriculture: bridging AI-driven insights with sustainable crop improvement.Plant molecular biology · 2025Review
- Participatory AI for inclusive crop improvement.Agricultural systems · 2024Article
- ClimMob: Software to support experimental citizen science in agriculture.Computers and electronics in agriculture · 2024Article
- The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective.Agronomy for sustainable development · 2024Review
- gosset: An R package for analysis and synthesis of ranking data in agricultural experimentation.SoftwareX · 2023Article
- Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Navigating toward resilient and inclusive seed systems.Proceedings of the National Academy of Sciences of the United States of America · 2023Review
- Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers' traditional knowledge.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Incorporating male sterility increases hybrid maize yield in low input African farming systems.Communications biology · 2022Article
- Gender inclusivity through maize breeding in Africa: A review of the issues and options for future engagement.Outlook on agriculture · 2021Article
- Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment.Communications biology · 2021Article
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Crop breeding must embrace the broad diversity of smallholder agricultural systems to ensure food security to the hundreds of millions of people living in challenging production environments. This need can be addressed by combining genomics, farmers' knowledge, and environmental analysis into a data-driven decentralized approach (3D-breeding). We tested this idea as a proof-of-concept by comparing a durum wheat (Triticum durum Desf.) decentralized trial distributed as incomplete blocks in 1,165 farmer-managed fields across the Ethiopian highlands with a benchmark representing genomic prediction applied to conventional breeding. We found that 3D-breeding could double the prediction accuracy of the benchmark. 3D-breeding could identify genotypes with enhanced local adaptation providing superior productive performance across seasons. We propose this decentralized approach to leverage the diversity in farmer fields and complement conventional plant breeding to enhance local adaptation in challenging crop production environments.
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