Biblioteca do Café
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Resultados da Pesquisa
Item 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 ElizabethThis 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.Item 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 MoroziniThe 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.Item 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 TeixeiraThe 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.Item 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 RezendeCoffee 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.Item 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 VieiraWe 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.Item Low-density marker panels for genomic prediction in Coffea arabica L.(Editora da Universidade Estadual de Maringá - EDUEM, 2025-03-17) Arcanjo, Edilaine Silva; Nascimento, Moysés; Azevedo, Camila Ferreira; Caixeta, Eveline Teixeira; Oliveira, Antônio Carlos Baião de; Pereira, Antonio Alves; Nascimento, Ana Carolina CampanaDeveloping new cultivars, particularly in perennial species like Coffea arabica, can be a time-consuming process. Employing molecular markers in genome-wide selection (GWS) for predicting genetic values offers an alternative to accelerate this process. However, implementing GWS typically involves genotyping many markers for both training and candidate individuals, which can increase the total genotyping cost for the breeding program. Therefore, this study aimed to assess the feasibility of using low-density marker panels to predict the genetic merit of C. arabica for a range of desirable agronomic traits. For this purpose, GWS analyses were performed using the G-BLUP method with panels of varying marker densities, selected based on marker effect magnitude. The results indicate that employing lower-density panels might be advantageous for this species' improvement. Models based on these panels yielded accurate predictions for various traits and demonstrated high agreement in terms of selected individuals compared to more complex models.Item Development of warning systems for Phoma leaf spot in coffee(Editora da Universidade Estadual de Maringá - EDUEM, 2025-08-04) Silva, Humberson Rocha; Pozza, Edson Ampélio; Freitas, Aurivan Soares de; Freitas, Marcelo Loran de Oliveira; Belan, Leônidas Leoni; Barbosa Junior, Mauro Peraro; Vivanco, Mário Javier Ferrua; Santos Neto, HelonStatistical models can help in decision-making for the control of plant diseases, leading to less use of inputs, greater economy, and less negative environmental impact. Thus, this study aimed to use environmental variables to fit multiple linear regression (MLR) models for estimating the Phoma leaf spot incidence in coffee to develop a warning system. The experiment was conducted over two years (September 2013 to August 2015) with monthly disease assessments in the Coffea arabica L. cultivar “Catucaí amarelo 2SL”. A regular grid of 7.65 ha with 85 points delimited the area, with the points spaced 30 x 30 m. The incidence progress curve was constructed by considering the overall mean of the 85 points in each month. Fifty-two environmental variables were generated using an automatic station installed in the crop, and these variables were used in the development of the MLR models. A total of 126 models were fit, of which four were more successful in estimating disease dynamics over time. Two of these models allowed the acquisition of estimated values for disease incidence two weeks prior to the disease assessments, with high precision and accuracy. Nowadays the disease management has been performed exclusively with the use of fixed spraying schedules of fungicides. The models obtained in our research can contribute to sustainability of coffee production, to avoid unnecessary use of fungicides and become coffee cultivation more profitable.Item Multispectral images in the monitoring of coffee trees phytotechnical parameters after pruning(Universidade Federal de Viçosa, 2025-02-17) Freitas, Renato Aurélio Severino de Menezes; Assis, Gleice Aparecida de; Martins, George Deroco; Zampiroli, Renan; Nascimento, Letícia Gonçalves do; Araújo, Nathalia Oliveira deThe objective of this work was to monitor coffee plants (Coffea arabica L.) after pruning through multispectral images obtained with an unmanned aerial vehicle (UAV) containing a Mapir Survey 3 camera and estimate agronomic parameters based on simple regression parametric models. Growth evaluation was performed in 228 sampling points related to the coffee plants. The parameters analyzed were plant height, crown diameter, plagiotropic branch length, and the number of plagiotropic branches after the pruning point. The creation of mosaics was performed through the software Agisoft PhotoScan Professional 1.4.5, and radiometric calibration through Mapir Camera Control, georeferenced by QGIS and normalized by ENVI. Based on the models generated, data analysis permitted estimating coffee plants’ agronomic parameters after decote-type pruning (cutting off the orthotropic branch at 1.5 m and 2.0 m above ground) with high accuracy. Height was measured in April’s flight with the near-infrared band (Precision = 91.87%), crown diameter and plagiotropic branches length in April’s flight with the infrared band (Precision = 89.36% and 82.22%, respectively), number of nodes in February’s flight with the near-infrared band (Precision = 79.48%), and the number of plagiotropic branches after the pruning point in June’s flight with the near-infrared band (Precision = 69.57%).Item Agronomic performance and beverage quality of the arabica coffee cultivar MGS Catucaí Pioneira(Crop Breeding and Applied Biotechnology, 2025-10-18) Botelho, César Elias; Abrahão, Juliana Costa de Rezende; Nadaleti, Denis Henrique Silva; Ferreira, André Dominghetti; Pereira, Antônio Alves; Oliveira, Antônio Carlos Baião de; Gonçalves, Flávia Maria Avelar; Carvalho, Gladyston Rodrigues; Malta, Marcelo Ribeiro; Andrade, Vinicius Teixeira; Figueiredo, Vanessa CastroThe MGS Catucaí Pioneira cultivar stands out for its yield, rust resistance, and beverage quality. Evaluated over four harvest seasons in ten municipalities of southern Minas Gerais, it demonstrated excellent agronomic performance and a sensory profile with floral and sweet notes, making it suitable for both mechanized and non-mechanized production systems.Item New and efficient AS-PCR molecular marker for selection of coffee resistant to coffee leaf rust(Crop Breeding and Applied Biotechnology, 2024-10-15) Almeida, Dênia Pires de; Carneiro, Deisy Guimarães; Caixeta, Eveline Teixeira; Alves, Danúbia Rodrigues; Zambolim, LaércioCoffee leaf rust, caused by Hemileia vastatrix, is the most important disease affecting Coffea arabica. The use of molecular markers through marker-assisted selection (MAS) is an effective approach to develop cultivars with multiple and durable resistance, which is economically and environmentally beneficial for this disease control. In this work, a new molecular marker based on allele-specific polymerase chain reaction (AS-PCR) associated with the quantitative trait locus (QTL) of the linkage group 5 (LG5), which confers resistance to races I, II and pathotype 001 of H. vastatrix, was developed. The CaRHv10-AS marker was validated in a segregating genetic mapping population of 247 F2 genotypes and demonstrated selection efficiency greater than 97% for genotypes with resistance to three races. Thus, this work provides a fast, robust, and affordable molecular marker for use in MAS, facilitating the development of coffee plants with multiple resistance and ensuring sustainable coffee production.