Evidence map›Paper›PMID 42189796›Full record

ArticlePloS one2026

Intraspecific drought tolerance in Ugandan Coffea canephora for accelerated breeding selection.

Milton Ali, Settumba B Mukasa, Valerie Poncet, Godfrey Sseremba, Pierre Marraccini, Pascal Musoli, Daphne Nyachaki Bitalo, Hervé Etienne, Mildred Ochwo Ssemakula, Michael Kanaabi and 10 more

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Milton AliSchool of Agricultural Sciences, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0003-0688-8517
Settumba B MukasaSchool of Agricultural Sciences, Makerere University, Kampala, Uganda.
Valerie PoncetUMR DIADE, Univ Montpellier, IRD, CIRAD, Montpellier, France.ORCID https://orcid.org/0000-0002-1099-2846
Godfrey SserembaNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.ORCID https://orcid.org/0000-0001-9625-0570
Pierre MarracciniCIRAD, UMR DIADE, Montpellier, France.
Pascal MusoliNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.
Daphne Nyachaki BitaloNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.
Hervé EtienneCIRAD, UMR DIADE, Montpellier, France.
Mildred Ochwo SsemakulaSchool of Agricultural Sciences, Makerere University, Kampala, Uganda.
Michael KanaabiNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.
Doreen Murenju ChelangatNational Crop Resource Research Institute, National Agricultural Research Organisation, Kampala, Uganda.
Denis FabreCIRAD, UMR AGAP Institut, Montpellier, France.
Mildred Julian NakanwagiSchool of Agricultural Sciences, Makerere University, Kampala, Uganda.
Sophie LéranCIRAD, UMR DIADE, Montpellier, France.
Anitah TusiimireNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.
Naome AryatwijukaNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.
Qurayish MusinguziNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.
Geofrey ArinaitweNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.
Boris DelahaieCIRAD, UMR DIADE, Montpellier, France.
Mathieu GoninNational Coffee Research Institute, National Agricultural Research Organisation, Mukono, Uganda.ORCID https://orcid.org/0000-0002-4266-3625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robusta coffee (Coffea canephora) accounts for about 80% of Uganda's coffee production and supports over 2.2 million livelihoods. Yet recurrent droughts and erratic rainfall, exacerbated by climate change, pose severe threat to its productivity. Despite this threat, Ugandan breeding programs lack drought-tolerant varieties, largely because selection has not incorporated precise physiological traits linked to drought adaptation. Here, we evaluated 165 diverse Ugandan C. canephora genotypes, including local wild accessions, commercial lines, and breeders' selections, under controlled screenhouse drought assay. Morphophysiological traits were collected before, during, and after drought stress. Using linear mixed-effects models, K-means clustering, and the Drought Factor Index, variation in drought tolerance was characterized across genotypes differing in biomass. Drought reduced water relations, gas exchange (gs and E), and PSII efficiency (Fv/Fm, Fo/Fv, ETR, Y(II), and PI) across all biomass groups. Nevertheless, 24 genotypes maintained higher DFI values, stable PSII function (Fv/Fm, PI, Fv/F₀), and less negative pre‑dawn water potential under severe stress. Among all traits, photosynthetic performance index (PI) and Fv/F₀ emerged as the most robust and biologically interpretable predictors of drought tolerance. These fluorescence‑based markers, together with the identified drought‑tolerant genotypes, provide a powerful foundation for accelerating climate‑smart coffee breeding in Uganda.

Indexed as

CoffeaDroughtsPlant BreedingBiomassDrought ResistanceGenotypePhotosynthesisSelection, GeneticStress, PhysiologicalUganda

Identifiers

PMID42189796
PMCPMC13210392

What OpenQuestion holds

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LicenceCC BY
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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.