Biblioteca do Café
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/1
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Item Initial vegetative development and early selection of arabica coffee cultivars in a low-altitude region(Instituto Agronômico (IAC), 2023-11-10) Filla, Vinícius Augusto; Coelho, Anderson Prates; Grossi Terceiro, Matheus; Morello, Orlando Ferreira; Lemos, Leandro BorgesThe cultivation of Coffea arabica L. in a low-altitude region is a sustainable alternative for diversifying the income of farmers. On account of the variability of available cultivars, the use of indirect selection through initial vegetative development may be an auxiliary tool for identifying the most suitable genotypes for this environment. This study aimed to identify the dwarf Arabica coffee cultivars with better initial development in a low-altitude region and the morphological traits with greater relevance for the early selection of cultivars with high yield potential. The experiment was installed in the northeast of São Paulo, Brazil. The experimental design used was randomized blocks with four replications. The treatments consisted of 17 dwarf Arabica coffee cultivars. There is variability among dwarf Arabica coffee cultivars for initial vegetative development. The growth and increase in the number of nodes of the plagiotropic branch can be used in early selection to identify cultivars with greater yield potential. The cultivars IAC Obatã 4739, Obatã IAC 1669-20, and Tupi IAC 1669-33 present higher initial vegetative performance in low-altitude environments. The results obtained are useful to breeders and producers for choosing the cultivars best adapted to cultivation in this environment.Item Estimates of genetic parameters in Arabic coffee derived from the Timor hybrid(Crop Breeding and Applied Biotechnology, 2007-06-30) Mistro, Júlio César; Fazuoli, Luiz Carlos; Gallo, Paulo Boller; Oliveira, Antonio Carlos Baião de; Toma-Braghini, Masako; Silvarolla, Maria BernadeteGenetic parameters of Arabic coffee progenies derived from the cross Villa Sarchi x Timor hybrid were estimated in order to evaluate their potential for improvement. The experiment was installed in a random block design with ten treatments, eight replicates and eight plants per plot. The parameters cherry yield, plant height, canopy diameter, seed types and sizes were estimated. Results demonstrated significant differences between treatments for all traits. Greatest yield gains were achieved when the selection was performed based on plot means and in years of high yields. The variation index b was the best indicator of genetic variability. The progenies IAC 3786. IAC 3788, IAC 4094, IAC 4095, IAC 3425, and IAC 3429 were outstanding regarding the evaluated agronomic traits, representing progenies of high agronomic potential. All progenies presented leaf rust resistance.Item Characterization of Yellow Bourbon coffee strains for the production of differentiated specialty coffees(Instituto Agronômico (IAC), 2022-05-30) Romano, Lucicléia Souza; Giomo, Gerson Silva; Coelho, Anderson Prates; Filla, Vinicius Augusto; Lemos, Leandro BorgesThe demand for specialty coffees in the national and international market grows and generates an excellent opportunity for the exploration of new business. The cup quality of coffee is defined by the genetic predisposition of varietal groups, effects of the production environment, crop management, and form of post-harvest processing. Genotypes of Yellow Bourbon have already shown a predisposition to the production of excellent cup quality, but it may differ in sensory attributes and cup quality. The aim of this article was to evaluate the agronomic and qualitative performance of Yellow Bourbon strains from the Active Germplasm Bank of the Agronomic Institute of Campinas, in order to identify the best genotypes for the production of specialty coffees. The experiment was conducted in São Sebastião da Grama, SP, Brazil, at 1,100 meters of altitude in a medium-textured Ultisol. Treatments consisted of 14 strains of Yellow Bourbon, arranged in a randomized block design with three replicates. Field, post-harvest and laboratory evaluations were carried out. The strains IAC J3-1, IAC J9-16 and IAC J19-18-10 stood out in terms of yield values and sensory quality above the average of the studied group. The strains IAC J9-16 and IAC J19-18-10 showed predominance of floral and honey nuances, respectively, indicating that they may have high potential to express these characteristics in the beverage. The results suggested that there are Yellow Bourbon strains suitable for production and with superior cup quality, which highlights the importance of the appropriate choice of genotypes for the production of differentiated specialty coffees.Item Evaluation of agronomic performance of coffee (Coffea arabica L.) cultivars in Gamo and Gofa, southern Ethiopia(Editora UFLA, 2021) Zebire, Degife; Fetena, Seifu; Shara, SaburaEthiopia is identified as a primary centre of Arabica coffee plant origin and genetic diversity. Climatic variations, varietal differences, soil type, mulching, shade, the farming method used, pruning, and other cultural practices are the major factors that affect the development of plants including coffee. Amongst the various factors for having a good yield of coffee is growing of coffee plant in its specific agro-ecologies which has a great contribution to both the life span of the coffee trees and its yield. This experiment was conducted to evaluate the performance of different released and local Arabica coffee varieties across two locations at Gamo and Gofa zones, Southern Ethiopia. The varieties which were used for the study were transplanted in 2014 and laid out in randomized complete block design with three replications across locations. The varieties were planted at a spacing of 2m by 2m between plants and rows, respectively and were evaluated for growth, yield and yield components. The analysis of variance performed for average internodes number, canopy diameter, height up to the primary branch, length of the primary branch, number of branches on the main stem and total height of coffee plant showed significant variations across locations. From the present evaluation, it was noted that the highest Clean Coffee Yield (16.6 and 14.2 quintal per hectare) was scored by coffee cultivars F-59 and 1377A, respectively. Moreover, because of the low quality of coffee delivered to the market, the coffee produced in the Gamo Gofa area (garden coffee) is categorized under forest coffee at the national level. If the quality is improved, the coffee in the area would have its appropriate brand name and the growers and traders can get better returns from their investment. Therefore, those varieties investigated are good candidates for future coffee cup quality analysis.Item Interaction between climate, flowering and production of dry coffee (Coffea arabica L.) in Minas Gerais(Editora UFLA, 2021) Soares, Lidiany dos Santos; Rezende, Tiago Teruel; Beijo, Luiz Alberto; Franco Júnior, Kleso SilvaAiming to determine the interaction between climatic factors, flowering and yield of dry arabica coffee in municipalities in the regions of Southern Minas Gerais and Alto Paranaíba, both in the State of Minas Gerais, this study considered data from the harvest years 2008/2009 to 2017/2018, and climatic data analyzed according to the coffee phenological cycle. The determination of significant variables used the Stepwise method and the Akaike Information Criterion (AIC). The association of yield with climatic variables used a generalized linear model with gamma distribution and logarithmic function. Average flowering (20% to 50% of flowers per branch) used a logistic regression model. The productive variability of arabica coffee showed an association with the biennial cycle, the occurrence of medium and main flowering, flowering period and rains in bean formation. The occurrence of average flowering and the frequency of rainfall during bean formation enhanced coffee yield, at the same time as the increment in maximum temperature in vegetative bud formation reduced flowering and yield.Item Relationship between coffee crop productivity and vegetation indexes derived from oli / landsat-8 sensor data with and without topographic correction(Associação Brasileira de Engenharia Agrícola, 2018-05) Nogueira, Sulimar M. C.; Moreira, Maurício A.; Volpato, Margarete M. L.The reflectance values of a coffee crop are influenced by several factors such as planting direction, crop spacing, time of the year, plant age and topography which reduces the accuracy of the estimates derived from remote sensing data. In this context were evaluated the relationships between coffee productivity and values of NDVI, SAVI and NDWI vegetation indexes with and without topographic reflectance correction for different coffee phenological phases for the crop years 2013/2014 (low productivity) and 2014/2015 (high productivity). The evaluations were made through the standard deviation of vegetation indices (VIs), linear relationship between the cosine factor and the VIs and between VIs and coffee productivity. The best phenological phases of coffee to determine productivity from spectral indexes were the stages of dormancy and flowering. The results indicated that the NDVI was the best index to estimate the productivity of coffee trees with coefficient of determination (R2) that ranged from 0.58 to 0.90. There was an increase in R2 between productivity and NDVI with topographic correction in the dormancy phase in the year of low productivity; between productivity and NDVI with topographic correction in the flowering phase in the year of high productivity; and between productivity and SAVI and NDWI with topographic corrections in the flowering phase in the year of high productivity.