Gendered preferences for varieties and traits in Uganda’s common bean value chain: insights for breeding programs

Abstract Common bean breeding efforts have focused on understanding and developing product profiles that align with farmers’ trait preferences with limited emphasis on downstream value chain actors. Varieties that do not consider client-preferred traits are often on the shelves and not adopted by the targeted clients. Thus, considering trait preferences of downstream bean value chain actors like processors, traders and consumers is becoming important as they sometimes differ from those of farmers. This study investigated gender varietal and trait preferences of traders, consumers, and processors for common bean varieties. A mixed method was used to collect data from 75 traders, 21 processors, and 100 consumers in Uganda. Descriptive results identified that short cooking time, thick stew, good taste, and affordability are intertwined and the most preferred traits. Irrespective of gender, actors preferred existing varieties such as NABE 4, Kanyebwa, Masindi Yellow, Nambale Omuwanvu, and NARO BEAN 1 for possessing the most preferred traits. These findings can guide common bean breeders in targeting these traits to meet the needs of men and women processors, traders, and consumers.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-05-22
DOI
https://doi.org/10.1057/s41599-026-07472-w
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gendered preferences for varieties and traits in Uganda’s common bean value chain: insights for breeding programs

Collins Odhiambo Ageyo, Cosmas Kweyu Lutomia, Grace Nanyonjo, Victor Nyamolo et al.
Humanities and Social Sciences Communications
Agricultural Innovations and Practices
article

Gendered preferences for varieties and traits in Uganda’s common bean value chain: insights for breeding programs

Collins Odhiambo Ageyo, Cosmas Kweyu Lutomia, Grace Nanyonjo, Victor Nyamolo, Eileen Bogweh Nchanji, Wilber Ssekandi, Grace Bantebya
article en

Abstract

Abstract Common bean breeding efforts have focused on understanding and developing product profiles that align with farmers’ trait preferences with limited emphasis on downstream value chain actors. Varieties that do not consider client-preferred traits are often on the shelves and not adopted by the targeted clients. Thus, considering trait preferences of downstream bean value chain actors like processors, traders and consumers is becoming important as they sometimes differ from those of farmers. This study investigated gender varietal and trait preferences of traders, consumers, and processors for common bean varieties. A mixed method was used to collect data from 75 traders, 21 processors, and 100 consumers in Uganda. Descriptive results identified that short cooking time, thick stew, good taste, and affordability are intertwined and the most preferred traits. Irrespective of gender, actors preferred existing varieties such as NABE 4, Kanyebwa, Masindi Yellow, Nambale Omuwanvu, and NARO BEAN 1 for possessing the most preferred traits. These findings can guide common bean breeders in targeting these traits to meet the needs of men and women processors, traders, and consumers.

Humanities and Social Sciences Communications
Egerton University (KE), International Center for Tropical Agriculture (KE), National Agricultural Research Organisation (UG), Makerere University (UG)
Bill and Melinda Gates Foundation
Gender equality
Openalex Percentile: Top 3%
Agricultural Innovations and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.