Bem vindo à Biblioteca do Café
O SBICafé é um repositório temático da produção científica das instituições que integram o Consórcio Brasileiro de Pesquisa e Desenvolvimento do Café (Consórcio Pesquisa Café). Seu objetivo é unificar e facilitar o acesso à produção científica das instituições consorciadas, no que se refere a temas relacionados ao agronegócio do café, aumentando assim a visibilidade, o uso e o impacto dos resultados das pesquisas depositadas, no intuito de fortalecer os projetos desenvolvidos em torno do Programa Nacional de Pesquisa e Desenvolvimento do Café (PNP D/Café), aumentando sua produtividade, progresso e recompensas.
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Relations between sensory quality and spectral indices in brazilian arabica coffees
(Academia Brasileira de Ciências, 2025-03-17) SARMENTO, CARLA SIMONE A.G.; LEMOS, ODAIR L.; BOFFO, ELISANGELA F.; MATSUMOTO, SYLVANA N.; CASTRO, INGRID THALIA P. DE; ALVARENGA, YASMIN A.
This article describes an investigation using spectral indices to characterize coffee production of Brazil, regarding beverage quality and possible correlations with the growing environment. The study evaluated 50 arabica coffee samples, 16 of which were natural process, and 34 were pulped coffes. These samples were originated from growing areas located in different altitude ranges and regions of the municipality, with similar planting spacing and predominance of Catuai cultivars. The samples were subjected to sensory analysis, which revealed that 58% of the samples were classified as specialty coffees: 3 natural, and 26 pulped coffes. Multiple correspondence analysis showed that average spectral indices, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and photochemical reflectance index (PRI), derived from images of the multispectral instrument (MSI), were not associated with the quality parameters of the coffee beverage. In contrast, the plant senescence reflectance index (PSRI) proved to be the relevant factor in the quality of the drink. In summary, the analysis of the relationship between the indices demonstrated that the NDVI, which measures the vegetative vigor of plants, showed an inverse correlation with the PSRI. Additionally, the principal component analysis suggested that samples collected from drier areas differed significantly from other geographic regions.
Temporal analysis of Phoma leaf spot of coffee plants at different altitudes
(Universidade Federal de Viçosa, 2025-04-25) Silva, Humberson Rocha; Pozza, Edson Ampélio; Freitas, Aurivan Soares de; Freitas, Marcelo Loran de Oliveira; Barbosa Junior, Mauro Peraro; Cirillo, Marcelo Angelo
Phoma leaf spot (Phoma spp.) of coffee causes losses of between 15 and 43%, and presents significant variability over time and space, especially in mountain coffee production. Thus, the objective of this study was to evaluate the behavior of this disease at different altitudes and to use time series techniques and regression models to explain disease behavior. The experiment was conducted over two years (from September 2013 to August 2015) with monthly evaluations in a Coffea arabica L. plantation. The incidence and severity progress curves showed irregular behavior most of the time, typical of the disease. Higher altitudes provided higher disease incidence and severity values. Only the incidence and severity progress curves at the altitude of 1143.2 m showed significant autocorrelation over time. Thus, the first-order autocorrelation structure, AR(1), was incorporated in the estimates of the parameters of the linear and nonlinear models. Only the months from February to June/July 2014 were considered, when the disease progressed regularly. The rates obtained for the incidence, overall mean of the 85 points and mean altitude of 1143.2 m, were 5.2 and 4.6%, respectively, while the estimated rates for the severity data under the same conditions were 0.3 and 0.1%, respectively. These values represent the expected increase in incidence and severity each month. The Phoma leaf spot presents complex temporal dynamics, influenced by microclimatic variables associated with altitude.
An interdisciplinary approach for evaluating beverage quality in Coffea canephora
(Academia Brasileira de Ciências, 2025-05-09) SOUZA, LUCIMARA C. DE; FERRÃO, MARIA AMÉLIA G.; FONSECA, AYMBIRÉ FRANCISCO A. DA; VOLPI, PAULO SÉRGIO; COMERIO, MARCONE; PEREIRA, LUCAS L.; CARVALHO, JOSÉ AUGUSTO M.; SARAIVA, SÉRGIO H.; PINHEIRO, PATRÍCIA F.; SILVA JÚNIOR, ADELSON L. DA; SOARES, TAÍS CRISTINA B.
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.
Spray deposition from an unmanned aerial vehicle on a coffee crop
(Associação Brasileira de Engenharia Agrícola, 2024-11-29) Cunha, João P. A. R. da; Fonseca, Luciano F. da; Alvarenga, Cleyton B. de; Lopes, Luana de L.; Martins Filho, Rogério M. S.
The use of unmanned aerial vehicles (UAVs) to apply pesticides has grown significantly, but technical data to support improvements in application efficiency are lacking, especially for perennial crops. This study aimed to determine the best operational parameters for the application of pesticides to coffee plants using UAVs. The experiment consisted of 8 treatments and 4 replicates in a 2x2x2 factorial design: two spray mixture compositions (solutions with spreading adjuvant and mineral oil), two spray nozzles (XR flat-fan nozzle and Airmix flat-fan nozzle with air induction) and two spray volumes (10 and 20 L ha-1). Spray solution deposition was evaluated by spectrophotometric detection of a tracer in leaves from the upper and lower parts of the coffee canopy, and spray coverage, droplet density and droplet size were evaluated using water-sensitive paper. The surface tension, pH and electrical conductivity of the solutions were also evaluated. The air induction nozzle was more suitable than the standard nozzle for UAV application, as the former yielded greater deposition of spray solution. Mineral oil improved the spray deposition on the coffee leaves, although the spreader reduced the surface tension to a greater extent. The higher spray volume increased the droplet density, as well as the coverage, which is very relevant, especially whit contact pesticides.
Fruit and bean traits of the Coffea canephora genotypes most grown in western Amazon
(Empresa Brasileira de Pesquisa Agropecuária - Embrapa, 2024-11-25) Lopes Júnior, Hilton; Rocha, Rodrigo Barros; Silva, Adriele Nunes Rodrigues; Moraes, Amanda de Oliveira; Alves, Enrique Anastácio; Espindula, Marcelo Curitiba; Teixeira, Alexsandro Lara
The objective of this work was to quantify the genetic diversity and selection gains regarding the physical traits of the fruits and beans of the 86 Coffea canephora clones most grown in western Amazon. The clones were evaluated as to the effects of genotypes (G), years (Y), and the GxY interaction. Genetic progress was quantified considering combined selection and direct selection for coffee bean weight. Although there was a GxY interaction, based on repeatability estimates the plants presented a similar performance over time. A positive correlation was observed between fruit and bean weight, except for some genotypes, such as R22, AS5, and 'BRS 3210', which presented larger beans and smaller fruit, and as BG180, P42, LB60, G20, and N12, with larger fruit and smaller beans. Using selection for the main trait, the estimates of genetic progress were similar to those obtained through different selection indexes, through which 14 genotypes with a higher bean weight were selected. The evaluated C. canephora clones exhibit high genetic diversity for the selection of plants with higher grain mass.
