PLoS ONE (Jan 2024)

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,
  • Wesly Jeune,
  • Valérie Poncet

DOI
https://doi.org/10.1371/journal.pone.0299493
Journal volume & issue
Vol. 19, no. 4
p. e0299493

Abstract

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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.