Evidence map›Paper›PMID 38249162›Full record

ArticleFrontiers in sociology2023

Closing gender gaps through gender-responsive, demand-led breeding in Burundi.

Blaise Ndabashinze, Eileen Bogweh Nchanji, Cosmas Kweyu Lutomia, Eric Nduwarugira, Marie Bernadette Hakizimana, Immaculée Mayugi

Abstract read
In one paragraph

Article in Frontiers in sociology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Blaise NdabashinzeInstitut des Sciences Agronomiques du, Bujumbura, Burundi.
Eileen Bogweh NchanjiInternational Center for Tropical Agriculture, Nairobi, Kenya.
Cosmas Kweyu LutomiaInternational Center for Tropical Agriculture, Nairobi, Kenya.
Eric NduwarugiraInstitut des Sciences Agronomiques du, Bujumbura, Burundi.
Marie Bernadette HakizimanaInstitut des Sciences Agronomiques du, Bujumbura, Burundi.
Immaculée MayugiInstitut des Sciences Agronomiques du, Bujumbura, Burundi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gender inequality persists in Burundi's agricultural sector, especially in the bean value chain dominated by women. Women often have less access to improved seeds and to productive technologies. Interventions dubbed "gender-responsive plant breeding" have been launched to develop new varieties to address the gender gaps in variety adoption. Gender responsive planting breeding in Burundi targets to develop bean varieties that respond better to gendered varietal and trait preferences. This paper provides a background of gender-responsive bean breeding in Burundi, documenting the methodologies that were used to integrate gender issues in bean breeding and socio-economic research. It also covers successes of gender-responsive breeding to date, primarily focusing the interdisciplinary teams that drove the process, development and release of varieties that incorporated traits favored by women and men actors. Evidence from surveys and value chain analysis reveal that gender-responsive breeding program increased the adoption of improved varieties by women and improved yields and productivity. The paper reveals that gender-responsive and demand-led bean breeding programs require stakeholders engagements to develop products that align with preferences of diverse actors at different nodes of the bean value chain.

Indexed as

bean breedingBurundidemand-led breedinggender equitygender-responsive breedingtradersvalue chain

Identifiers

PMID38249162
PMCPMC10797048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.