Biblioteca do Café
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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 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 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.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.Item Manejo integrado de pragas e doenças do café arábica(Embrapa Café, 2024-10) Caixeta, Eveline Teixeira; Franzin, Mayara Loss; Zambolim, Laércio; Venzon, Madelaine; Carvalho, Carlos Henrique S. de; Oliveira, Antonio Carlos Baião de; Resende, Marcos Deon Vilela deO objetivo desta publicação é trazer informações sobre a biologia e as recomendações necessárias para a adoção do manejo integrado dos problemas fitossanitários que afetam a cultura do café arábica. A incidência e a severidade dos problemas causados por estresse biótico podem variar de acordo com o ambiente, o patógeno e a suscetibilidade do hospedeiro. Assim, os problemas sanitários de uma cultura podem variar com o tempo, sendo necessários constantes monitoramentos. Nesse trabalho, foram elencadas as principais pragas e doenças que ocorrem nos maiores estados produtores, considerando a diversidade de cultivo em diferentes regiões cafeeiras do Brasil. São relatadas as medidas de controle, a situação atual e potencial de agravamento. E para maior praticidade do leitor, é apresentada na seção final desta publicação uma síntese das diretrizes de manejo para cada uma das pragas e doenças descritas.Item Métodos ótimos de seleção genética no melhoramento do cafeeiro arábica(Embrapa Café, 2024-05) Resende, Marcos Deon Vilela de; Alves, Rodrigo Silva; Caixeta, Eveline Teixeira; Oliveira, Antonio Carlos Baião de; Pereira, Antonio Alves; Mariz, Bruna LopesOs principais fatores que ditam o sucesso de um programa de melhoramento são: (i) eficiência no processo seletivo (métodos ótimos de identificação e seleção de indivíduos superiores); (ii) estratégia adequada de melhoramento (método de seleção recorrente e delineamento de cruzamento para a criação de novos indivíduos superiores); (iii) curtas gerações de melhoramento, ou seja, seleção precoce maximizando o ganho genético por unidade de tempo. Este documento desenvolve a teoria e realiza recomendações práticas acerca desses fatores na cultura do cafeeiro arábica.Item Partial map of Coffea arabica L. and recovery of the recurrent parent in backcross progenies(Crop Breeding and Applied Biotechnology, 2007-06-30) Oliveira, Antonio Carlos Baião de; Sakiyama, Ney Sussumu; Caixeta, Eveline Teixeira; Zambolim, Eunize Maciel; Rufino, Raphael José Nascif; Zambolim, LaércioA partial map of Coffea arabica L. was constructed based on a backcross population and RAPD markers. From a total of 178 markers evaluated, only 134 that segregated 1:1 (P>0.05) were used to develop the map. Seventeen markers were not linked, while 117 formed 11 linkage groups, covering a genome distance of 803.2 cM. The maximum distance between adjacent markers was 26.9 cM, and only seven intervals exceeded 20 cM. The markers were further used for assisted selection of the plants closest to the recurrent parent, to accelerate the introgression of rust resistance genes in the coffee breeding program. Three BC1 plants resistant to coffee leaf rust and with high genetic similarity to ?Catuaí? were selected and integrated in the following backcross cycles.Item Otimização da experimentação no melhoramento do cafeeiro(Embrapa Café, 2023-09) Resende, Marcos Deon Vilela de; Alves, Rodrigo Silva; Oliveira, Antonio Carlos Baião de; Caixeta, Eveline Teixeira; Pereira, Antonio Alves; Mariz, Bruna LopesItem Aceleração do melhoramento do cafeeiro via seleção genômica : agilidade e eficácia no lançamento de novas cultivares(Embrapa Café, 2022-08) Caixeta, Eveline Teixeira; Resende, Marcos Deon Vilela; Alkimim, Emilly Ruas; Sousa, Tiago Vieira; Oliveira, Antonio Carlos Baião de; Pereira, Antonio Alves; Alves, Rodrigo Silva