Evidence map›Paper›PMID 42524319›Full record

ArticleFrontiers in plant science2026

Genetic variability in fruit-to-bean conversion efficiency among

Alex Campanharo, Deurimar Herênio Gonçalves Júnior, Marcela Campanharo, Maskio Darós, Adésio Ferreira, Weverton Pereira Rodrigues, Henrique Duarte Vieira, Isabel Marques, Fábio Luiz Partelli

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Alex CampanharoFederal University of Espírito Santo, University Center of Northern Espírito Santo, São Mateus, Espírito Santo, Brazil.
Deurimar Herênio Gonçalves JúniorFederal University of Espírito Santo, University Center of Northern Espírito Santo, São Mateus, Espírito Santo, Brazil.
Marcela CampanharoFederal University of Espírito Santo, University Center of Northern Espírito Santo, São Mateus, Espírito Santo, Brazil.
Maskio DarósTechnical Assistance and Rural Extension Company of the State of Minas Gerais, Pocrane, Minas Gerais, Brazil.
Adésio FerreiraFederal University of Espírito Santo, University Center of Northern Espírito Santo, São Mateus, Espírito Santo, Brazil.
Weverton Pereira RodriguesCenter for Agricultural Sciences, State University of the Tocantina Region of Maranhão, Imperatriz, Maranhão, Brazil.
Henrique Duarte VieiraLaboratory of Crop Science, Center for Agricultural Sciences and Technologies, State University of Northern Rio de Janeiro Darcy Ribeiro, Campos dos Goytacazes, Rio de Janeiro, Brazil.
Isabel MarquesForest Research Center, Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Lisboa, Portugal.
Fábio Luiz PartelliFederal University of Espírito Santo, University Center of Northern Espírito Santo, São Mateus, Espírito Santo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: We evaluated 44 genotypes cultivated in eastern Minas Gerais, Brazil, a recently established production frontier. Traits assessed included the ratio of ripe fruit mass to dry bean mass (RFM/DBM), the ratio of ripe fruit volume to ripe fruit mass (RFV/RFM), grain and husk mass percentages, and average yield expressed in fruit volume and mass. Results: Significant genetic variability was detected, with moderate to high heritability (48-59%). Hierarchical clustering identified four groups with contrasting efficiency profiles, while mean comparisons revealed genotypes with reduced fruit biomass requirements, higher fruit density, and greater grain proportion. Bean mass percentage ranged from 48% to 61%, and average yield varied from 325.92 to 470.33 L per 60-kg bag and from 209.22 to 282.61 kg of ripe fruits per bag. Several genotypes showed superior conversion efficiency, including LMG 11, LMG 01, LMG 07, LMG 08, and Graudão HP, which combined low fruit-to-bean ratios with high grain mass proportions. Discussion: These results demonstrate exploitable genetic variability and provide reference parameters to support breeding, regional recommendations, and strategies to enhance processing efficiency in

Indexed as

bean-to-husk ratiogenetic variabilityplant breedingrobusta coffeeyield efficiency

Identifiers

PMID42524319
PMCPMC13409374

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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.