Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Replication data for: Citizen science informs demand-driven breeding of opportunity crops

Domain:

agriculture

Record type:

dataset
Creator:
N'Danikou, Sognigbede Sousa, Kauêvan Zonneveld, MaartenLaporte, Marie Angélique
Publisher:
Zenodo
Host:avatar

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.

Visit

doi.org

Languages

Ndasa

Tags

African traditional vegetables; amaranth; data-driven agriculture; market segmentation; neglected and underutilized crops; socioeconomic heterogeneity; tricot approach

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Replication data for: "Crop variety management for climate adaptation supported by citizen science"Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments"Replication Data for: Using subsidised seed to catalyse demand-driven bean seed systems in MalawiReplication Data for: Citizen Political Participation in Kenya.Bayesian item response models for citizen science ecological dataAdolescent- led citizen science data set for sociodemographic characteristics

Replication data for: "Crop variety management for climate adaptation supported by citizen science"

Farmers were invited to collaborate as citizen science volunteers in the crowdsourcing approach "tri

Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments"

A panel of fully genotyped 400 wheat lines derived from genebank accessions in two managed fields in

Replication Data for: Using subsidised seed to catalyse demand-driven bean seed systems in Malawi

Through an innovative public-private partnership, Demeter Agricultural Limited, along with

Replication Data for: Citizen Political Participation in Kenya.

Data relating to views, attitudes, perceptions, and recommendations of Kenyans concerning politics,

Bayesian item response models for citizen science ecological data

So-called 'citizen science' data elicited from crowds has become increasingly popular in many fields

Adolescent- led citizen science data set for sociodemographic characteristics

Adolescents' immediate environments, including their homes, schools, and neighbourhoods