An interdisciplinary approach for evaluating beverage quality in Coffea canephora

The objective of this study was to assess the quality of Conilon coffee (Coffea canephora) based on agronomic, physicochemical, sensory profiles, and molecular markers. The dataset comprises 107 genotypes from the Incaper breeding program, evaluated in Marilândia, ES, Brazil. A total of 30 traits and 14 SSR markers were examined, revealing significant genetic variability. Most genotypes exhibited a medium June harvest cycle, uniform ripening, medium-sized beans, high processing yield, and a high percentage of flat and peaberry beans. Physicochemical variables, total titratable acidity, and potassium leaching contributed significantly to the observed variability. Chlorogenic acids (4.82%) and caffeine (2.58%) were the most abundant bioactive compounds. In sensory evaluations, 34 genotypes received scores exceeding 80. 13 markers were recommended for future association mapping studies to identify QTLs influencing the traits evaluated. Results identified genotypes with potential to maximize heterosis and genetic diversity in advancing generations. Among the evaluated genotypes, 34 were identified as promising due to their high sensory scores (≥ 80 points) and favorable agronomic, physicochemical, sensory, and genetic traits. The progeny HS17 stood out as the most divergent in agronomic and genetic traits compared to the other genotypes.

Authors

Institutions

Publication Details

Journal
Anais da Academia Brasileira de Ciências
Published
2025-01-01
DOI
https://doi.org/10.1590/0001-3765202520240084
Citations
1
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An interdisciplinary approach for evaluating beverage quality in Coffea canephora

Lucimara Cruz de Souza, Maria Amélia Gava Ferrão, Taís Cristina Bastos Soares, Adelson Lemes da Silva Júnior et al.
1 citations
Anais da Academia Brasileira de Ciências
Coffee research and impacts
1.39
article

An interdisciplinary approach for evaluating beverage quality in Coffea canephora

Lucimara Cruz de Souza, Maria Amélia Gava Ferrão, Taís Cristina Bastos Soares, Adelson Lemes da Silva Júnior, Patrícia Fontes Pinheiro, Lucas Louzada Pereira, José Augusto Macedo Carvalho, P. S. Volpi, Marcone Comério, Sérgio Henriques Saraiva, Aymbiré Francisco Almeida da Fonseca
article en
1 citations

Abstract

The objective of this study was to assess the quality of Conilon coffee (Coffea canephora) based on agronomic, physicochemical, sensory profiles, and molecular markers. The dataset comprises 107 genotypes from the Incaper breeding program, evaluated in Marilândia, ES, Brazil. A total of 30 traits and 14 SSR markers were examined, revealing significant genetic variability. Most genotypes exhibited a medium June harvest cycle, uniform ripening, medium-sized beans, high processing yield, and a high percentage of flat and peaberry beans. Physicochemical variables, total titratable acidity, and potassium leaching contributed significantly to the observed variability. Chlorogenic acids (4.82%) and caffeine (2.58%) were the most abundant bioactive compounds. In sensory evaluations, 34 genotypes received scores exceeding 80. 13 markers were recommended for future association mapping studies to identify QTLs influencing the traits evaluated. Results identified genotypes with potential to maximize heterosis and genetic diversity in advancing generations. Among the evaluated genotypes, 34 were identified as promising due to their high sensory scores (≥ 80 points) and favorable agronomic, physicochemical, sensory, and genetic traits. The progeny HS17 stood out as the most divergent in agronomic and genetic traits compared to the other genotypes.

Anais da Academia Brasileira de CiênciasVol. 97(2)
Universidade Federal de Lavras (BR), Universidade Federal de Viçosa (BR), Brazilian Agricultural Research Corporation (BR), Instituto Federal do Espírito Santo (BR), Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural (BR), Universidade Federal do Espírito Santo (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Consórcio Pesquisa Café
Openalex Percentile: Top 22%
Coffee research and impacts
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.