Adoption without gains, and vice-versa: Exploring the disconnect between improved bean varieties and yield in Central America and Haiti through the lens of seed systems

Common beans ( Phaseolus vulgaris L.) are vital for food security and rural livelihoods in Central America and Haiti. Over the past 30 years, R&D has focused on breeding resilient bean varieties to withstand climate change, pests, and diseases. However, the success of these innovations depends not only on variety development but also on efficient seed systems that deliver them to farmers—a crucial yet often overlooked factor in maximizing agricultural R&D benefits. This study evaluates the adoption of improved bean varieties and associated yield differences across Guatemala, Honduras, Nicaragua, and Haiti. It also assesses the extent to which current seed systems facilitate or constrain adoption and potential yield outcomes. This study used a mixed-methods approach, combining DNA fingerprinting, farmer surveys, on-farm field trials, and expert interviews to assess adoption of improved varieties. Regression analysis was used to examine yield differences, controlling for observable factors. Adoption estimates ranged from 10 % (Nicaragua) to 77 % (Haiti). Only Nicaragua—despite low adoption—showed a significant yield gain (∼33 % at p < 0.05). In contrast, Guatemala, Honduras, and Haiti recorded no gains despite moderate to high adoption reported by experts (Honduras and Guatemala) or confirmed by DNA analysis (Haiti). DNA evidence reveals contamination in formal seed channels, while survey data and expert opinion suggest that limited support services may constrain performance. Adoption alone is not a sufficient metric of success. Ensuring genetic integrity, local adaptation of varieties, and effective delivery systems is critical for translating research investment into yield benefits. Strengthening seed quality control, aligning bean breeding with farmer needs, and supporting informal systems are key to maximizing impact. • We assess adoption and yield differences of improved varieties. • Adoption of improved bean varieties ranges from 10 % in Nicaragua to 77 % in Haiti. • Yield levels and yield gains are uncorrelated with adoption rates. • DNA analysis reveals seed contamination; farmers often unaware of variety identity. • Strengthening quality control and varietal fit is critical to realize gains.

Institutions

Publication Details

Journal
Agricultural Systems
Published
2025-07-18
DOI
https://doi.org/10.1016/j.agsy.2025.104447
Citations
1
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adoption without gains, and vice-versa: Exploring the disconnect between improved bean varieties and yield in Central America and Haiti through the lens of seed systems

1 citations
Agricultural Systems
Mycorrhizal Fungi and Plant Interactions
1.75
article

Adoption without gains, and vice-versa: Exploring the disconnect between improved bean varieties and yield in Central America and Haiti through the lens of seed systems

article en
1 citations

Abstract

Common beans ( Phaseolus vulgaris L.) are vital for food security and rural livelihoods in Central America and Haiti. Over the past 30 years, R&D has focused on breeding resilient bean varieties to withstand climate change, pests, and diseases. However, the success of these innovations depends not only on variety development but also on efficient seed systems that deliver them to farmers—a crucial yet often overlooked factor in maximizing agricultural R&D benefits. This study evaluates the adoption of improved bean varieties and associated yield differences across Guatemala, Honduras, Nicaragua, and Haiti. It also assesses the extent to which current seed systems facilitate or constrain adoption and potential yield outcomes. This study used a mixed-methods approach, combining DNA fingerprinting, farmer surveys, on-farm field trials, and expert interviews to assess adoption of improved varieties. Regression analysis was used to examine yield differences, controlling for observable factors. Adoption estimates ranged from 10 % (Nicaragua) to 77 % (Haiti). Only Nicaragua—despite low adoption—showed a significant yield gain (∼33 % at p < 0.05). In contrast, Guatemala, Honduras, and Haiti recorded no gains despite moderate to high adoption reported by experts (Honduras and Guatemala) or confirmed by DNA analysis (Haiti). DNA evidence reveals contamination in formal seed channels, while survey data and expert opinion suggest that limited support services may constrain performance. Adoption alone is not a sufficient metric of success. Ensuring genetic integrity, local adaptation of varieties, and effective delivery systems is critical for translating research investment into yield benefits. Strengthening seed quality control, aligning bean breeding with farmer needs, and supporting informal systems are key to maximizing impact. • We assess adoption and yield differences of improved varieties. • Adoption of improved bean varieties ranges from 10 % in Nicaragua to 77 % in Haiti. • Yield levels and yield gains are uncorrelated with adoption rates. • DNA analysis reveals seed contamination; farmers often unaware of variety identity. • Strengthening quality control and varietal fit is critical to realize gains.

Agricultural SystemsVol. 230
Zamorano Pan-American Agricultural School (HN), Consejo Nacional de Ciencia y Tecnología (GT), Michigan State University (US)
Zero hunger
Openalex Percentile: Top 11%
Mycorrhizal Fungi and Plant Interactions
1.75
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.