ReviewFrontiers in plant science2020
Integrating Conventional and Participatory Crop Improvement for Smallholder Agriculture Using the Seeds for Needs Approach: A Review.
Review in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- Genetic variation and heritability of agronomic traits in a native perennial forage species from drylands: breeding potential of Festuca pallescens.Scientific reports · 2025Article
- Article
- Participatory AI for inclusive crop improvement.Agricultural systems · 2024Article
- Article
- Integrative and inclusive genomics to promote the use of underutilised crops.Nature communications · 2024Article
- The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective.Agronomy for sustainable development · 2024Review
- Evaluating the Influence of Water Scarcity on the Host Response of Garlic to the Stem and Bulb NematodePlants (Basel, Switzerland) · 2023Article
- 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
- Navigating toward resilient and inclusive seed systems.Proceedings of the National Academy of Sciences of the United States of America · 2023Review
- 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
- Breeding Bread-Making Wheat Varieties for Organic Farming Systems: The Need to Target Productivity, Robustness, Resource Use Efficiency and Grain Quality Traits.Foods (Basel, Switzerland) · 2023Review
- Farmers' knowledge on cultivation, utilization and conservation practices of barley (Hordeum vulgare L.) in three selected districts in Ethiopia.Journal of ethnobiology and ethnomedicine · 2022Article
- Article
- Farmers' Participatory Plant Selection of Lablab (Frontiers in plant science · 2022Article
- Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment.Communications biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In response to the climate change, it is essential to provide smallholder farmers with improved field crop genotypes that may increase the resilience of their farming system. This requires a fast turnover of varieties in a system capable of injecting significant amounts of genetic diversity into productive landscapes. Crop improvement is a pivotal strategy to cope with and adapt to climate change. Modern breeding may rely on the genomics revolution to speed up the development of new varieties with adaptive potential. However, centralized breeding may not adequately address smallholder farmers' needs for more locally acclimatized varieties or groups of varieties. This, in turn, constrains adoption of new varieties that reduces the effectiveness of a resource-intensive breeding process, an issue that may be overcome with participatory, decentralized approaches. Whether high-tech centralized breeding or decentralized participatory approaches are better suited for smallholder farmers in the global South is hotly debated. Sidestepping any false dichotomies and ideological issues in these debates, this review provides a perspective on relevant advances in a breeding approach that combines the two approaches and uses genomics for trait mining from
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.