Evidence map›Paper›PMID 38625928›Full record

ArticlePloS one2024

Haitian coffee agroforestry systems harbor complex arabica variety mixtures and under-recognized genetic diversity.

Claude Patrick Millet, Clémentine Allinne, Tram Vi, Pierre Marraccini, Lauren Verleysen, Marie Couderc, Tom Ruttink, Dapeng Zhang, William Solano Sanchéz, Christine Tranchant-Dubreuil and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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
1.3field-weighted citation impact, top 20% of its field
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, 3 citations in OpenAlex.

  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

12 authors at 6 institutions in 6 countries.

Claude Patrick MilletIRD, UMR DIADE, CIRAD, Université Montpellier, Montpellier, France.ORCID 0009-0002-7353-1382
Clémentine AllinneInstitut Agro, ABSys, Université Montpellier, CIHEAM-IAMM, CIRAD, INRAE, Montpellier, France.
Tram ViIRD, UMR DIADE, CIRAD, Université Montpellier, Montpellier, France.
Pierre MarracciniIRD, UMR DIADE, CIRAD, Université Montpellier, Montpellier, France.
Lauren VerleysenFaculty of Sciences, Division of Ecology, Evolution and Biodiversity Conservation, KU Leuven, Leuven, Belgium.
Marie CoudercIRD, UMR DIADE, CIRAD, Université Montpellier, Montpellier, France.
Tom RuttinkILVO, Melle, Belgium.ORCID 0000-0002-1012-9399
Dapeng ZhangUSDA-ARS, SPCL, Beltsville, Maryland, United States of America.
William Solano SanchézCATIE, Turrialba, Costa Rica.
Christine Tranchant-DubreuilIRD, UMR DIADE, CIRAD, Université Montpellier, Montpellier, France.
Wesly JeuneFaculté des Sciences de l'Agriculture et de l'Environnement, Université de Quisqueya, Port-au-Prince, Haiti.
Valérie PoncetIRD, UMR DIADE, CIRAD, Université Montpellier, Montpellier, France.ORCID 0000-0002-1099-2846
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRBeltsville Agricultural Research Center · USCentro Agronomico Tropical de Investigacion y Ensenanza Catie · CRGhent University Hospital · BEKU Leuven · BEQuisqueya University · HT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Though facing significant challenges, coffee (Coffea arabica) grown in Haitian agroforestry systems are important contributors to rural livelihoods and provide several ecosystem services. However, little is known about their genetic diversity and the variety mixtures used. In light of this, there is a need to characterize Haitian coffee diversity to help inform revitalization of this sector. We sampled 28 diverse farms in historically important coffee growing regions of northern and southern Haiti. We performed KASP-genotyping of SNP markers and HiPlex multiplex amplicon sequencing for haplotype calling on our samples, as well as several Ethiopian and commercial accessions from international collections. This allowed us to assign Haitian samples to varietal groups. Our analyses revealed considerable genetic diversity in Haitian farms, higher in fact than many farmers realized. Notably, genetic structure analyses revealed the presence of clusters related to Typica, Bourbon, and Catimor groups, another group that was not represented in our reference accession panel, and several admixed individuals. Across the study areas, we found both mixed-variety farms and monovarietal farms with the historical and traditional Typica variety. This study is, to our knowledge, the first to genetically characterize Haitian C. arabica variety mixtures, and report the limited cultivation of C. canephora (Robusta coffee) in the study area. Our results show that some coffee farms are repositories of historical, widely-abandoned varieties while others are generators of new diversity through genetic mixing.

Indexed as

CoffeaCoffeeEcosystemGenetic VariationHaitiHumansCoffee

Identifiers

PMID38625928
PMCPMC11020479
OpenAlexW4394841526

What OpenQuestion holds

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Registered trials

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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.