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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Submissões Recentes
Varietal identification of coffee seeds by RAPD technique
(Instituto de Tecnologia do Paraná - Tecpar, 2004-07) Crochemore, Maria Lúcia; Nunes, Liliane Moreira; Andrade, Giselly Aparecida; Molinari, Hugo Bruno Correa; Vasconcellos, Maria Elizabeth
This study aimed the identification of cultivars and/or lines of Coffea arabica of commercial interest, using PCR-RAPD markers. The DNA of ground seeds lots of 12 cultivars and/or lines were evaluated with five primers (Operon OPA 01, OPA 04, OPG 11, OPY 16, and OPX 09) were obtained from a selection of 56 primers. The electrophoretic profiles allowed distinction among eight cultivars and/or lines as well as heterogeneity between and within lots of IAPAR59.
Interaction between systemic insecticide and humic substance applied to Conilon coffee seedlings
(Universidade Federal de Viçosa, 2025-11-17) Rampinelli, Gabriel Barbieri; Zucoloto, Ronyson Ruy; Simon, Cátia Aparecida; Lima, Sebastião Ferreira de; Jegeski, Rodrigo Fraga; Bacheti, Bliane Morozini
The objective of the study was to evaluate Conilon coffee seedlings treated with a systemic insecticide and a humic substance, both of which have growth-promoting functions. The experiment was conducted in a commercial nursery for the production of Conilon coffee seedlings in the municipality of Linhares, Espírito Santo, Brazil. The experimental design was a randomized block in a 2 x 3 factorial scheme with four replicates. Two clones, A1 and K61, were used, and treatments included the use of insecticides alone or in combination with humic substances. Characteristics of roots, shoots, leaves, and cuttings of Conilon coffee seedlings were evaluated. The combined use of insecticides and humic substances resulted in increases of 39.0%, 47.8%, and 20.5% in shoot length, leaf area, and root volume, respectively, compared to the control. Superior production of leaf and aerial biomass was also observed in clone A1 due to the use of the insecticide in combination with the humic substance. It was concluded that clone A1 has better seedling growth compared to clone K61 and that the use of insecticide in combination with humic substances is recommended for the production of Conilon coffee seedlings.
MGS Turmalina: A short rust-resistant Arabica coffee cultivar with drought tolerance and superior beverage quality
(Crop Breeding and Applied Biotechnology, 2025-07-15) Oliveira, Antônio Carlos Baião de; Pereira, Antônio Alves; Abrahão, Juliana Costa de Rezende; Ferreira, André Dominghetti; Botelho, Cesar Elias; Nadaleti, Denis Henrique Silva; Caixeta, Eveline Teixeira; Gonçalves, Flavia Maria Avelar; Carvalho, Gladyston Rodrigues; Salgado, Sonia Maria Lima; Silva, Vania Aparecida; Figueiredo, Vanessa Castro; Andrade, Vinicius Teixeira
The MGS Turmalina coffee cultivar is short in size, matures early, and is rust resistant. It has demonstrated a higher yield than the Catuaí Vermelho IAC 99 cultivar in different regions, standing out in environments with greater water deficit. The market value of MGS Turmalina beans is higher due to its superior cup quality.
GGE Biplot for integrating agronomic and sensory attributes in coffee cultivar selection
(Crop Breeding and Applied Biotechnology, 2025-07-16) Reis, Antônio Augusto Rezende; Botelho, Cesar Elias; Nadaleti, Denis Henrique Silva; Figueiredo, Otávio José de; Botelho, Thiago Tavares; Gonçalves, Flavia Maria Avelar; Carvalho, Alex Mendonca; Andrade, Vinicius Teixeira; Figueiredo, Vanessa Castro; Abrahão, Juliana Costa de Rezende
Coffee plant breeding has developed cultivars with disease resistance, high yield, and excellent sensory quality. However, recommending cultivars for different regions requires evaluations that account for genotype × environment (G × E) interactions. This study evaluated the agronomic performance of 30 Coffea arabica cultivars in six locations in southern Minas Gerais, focusing on adaptability and phenotypic stability for yield and sensory quality using the GGE Biplot method. Traits assessed included yield, the proportion of high-sieve and mocha beans, bean density, and sensory quality. Statistical analyses involved ANOVA, the Scott-Knott test, and GGE Biplot. Two mega-environments were identified for yield and three for sensory quality. IPR 100, IAC Obatã 4739, Arara, and Catucaí 2SL demonstrated high yield, while MGS Paraíso 2 excelled in cup quality. GGE Biplot proved effective in identifying stable and adapted cultivars, reinforcing the need to integrate sensory attributes in breeding and recommendation strategies for specialty coffee production.
Multi-trait selection and the relationship between sensory analysis and post-harvest variables in Coffea arabica
(Escola Superior de Agricultura "Luiz de Queiroz", 2025-11-21) Moreira, Daniele Birck; Silva, Sabrina Alves da; Costa, Weverton Gomes da; Caixeta, Eveline Teixeira; Nascimento, Moysés; Good God, Pedro Ivo Vieira
We aimed to estimate genetic parameters and multivariate selection in coffee related to quality and postharvest practices. In a population of 59 progeny of Coffea arabica, we analyzed the most important traits related to quality. Our analysis reveals significant genetic variance in all traits. We examined the effectiveness of direct selection and multivariate genetic gain using factor analysis. Our results suggest that genetic gains are achievable by all traits, although to varying degrees. In particular, selection based on the sensory quality factor alone can lead to gains opposite to those desired for traits such as ripening uniformity, bean size, and yield. This result may be due mainly to the way postharvest variables are processed for the standard Specialty Coffee Association of America (SCAA) beverage quality tests. Therefore, under this scenario, selection using factor analysis must be applied with care. These results provide a basis for future genetic selection strategies that will improve the quality of coffee.
