Coffee Science
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3355
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Resultados da Pesquisa
Item Initial growth of coffee plants associated with the use of kaolinite and adjuvant(Universidade Federal de Lavras, 2023-04-04) Costa, Bruna Penha; Tsutsumi, Cláudio Yuji; Rego, Carlos Augusto Rocha de MoraesAbiotic stresses cause significant damage to coffee plants’ development. Seeking solutions to mitigate them, studies about antiperspirant action have been intensified, for instance, kaolinite, which produces a film of particles with reflexive properties. In this context, this experiment aims to evaluate the effects of applying kaolinite doses in different colors with or without the addition of adjuvant on biometric variables during coffee plants’ initial growth. The randomized block design was used with three repetitions in an incomplete factorial scheme with an additional treatment, resulting in 11 treatments and 33 plots. The first factor comprised three kaolinite doses (20, 40, and 60 g); the second factor had two kaolinite colors (white and cream), and the third factor was the absence or presence of an adjuvant, also including an additional treatment (control). The plot consisted of four seedlings of the cultivar IPR 100. It was observed that the plant height (PH), number of plagiotropic branches (NPB), leaf area index (LAI), leaf dry matter (LDM), shoot dry matter (SHDM), root dry matter (RDM), and total dry matter (TDM) presented significant differences. Regarding PH, the dose of 40 g of cream kaolinite increased 7.07 cm more than the control. For LAI, the dose of 40 g with adjuvant had a 97.65 increase. For LDM and TDM, the dose of 40 g of white kaolinite with adjuvant presented respective increases of 5.2 and 12.78 g. The application of white kaolinite with adjuvant increased SHDM by 4.52 g. For RDM, the dose of 40 g of white kaolinite with adjuvant increased 6.51 g more than the control. The dose of 40 g of white kaolinite with adjuvant had a higher effect on the biometric variables.Item Diagnosis about the perspectives of precision applications of coffee growing technologies in municipalities of Bahia, Brazil(Universidade Federal de Lavras, 2022-06-09) Fagundes, Rozymario Bittencourt; Bolfe, Édson LuisBrazil is the largest coffee producer in the world and precision agriculture (PA) is essential for the efficient management of crops. However, one of the challenges is finding the best way to do it. In this sense, we sought to present in this article a diagnosis on the perspectives of Precision Agriculture technologies applicability in the production of coffee (or Precision Coffee Growing) in some municipalities in Bahia, for greater efficiency, economic and environmental sustainability. To achieve this objective, a virtual document was sent to coffee growers in the state of Bahia. The questionnaire was sent by email in 2021 and the WhatsApp application, reaching 457 producers, 34 of whom, from all productive regions of Bahia, responded. The rate of return was 7.4%, within the expected by the use of the application. Considering the return of 34 answered questionnaires, a margin of error of 14% was obtained at a reliability level of 90%. It was found that 59.3% of the respondents have a high prospect of using PA in coffee growing, 26.6% have a medium perspective and 11.1%, a low perspective. The research shows that 67.6% do not use PA in the fields and that 51.7% consider the lack of training as a major obstacle to the use of PA and other digital technologies. Thus, the conclusion is reached that there is a promising scenario in Bahia state for the application of PA in coffee growing, if there is training for the development of techniques in farming.Item Precision coffee growing: a review(Universidade Federal de Lavras, 2022-06-09) Santana, Lucas Santos; Ferraz, Gabriel Araújo e Silva; Santos, Sthéfany Airane dos; Dias, Jessica Ellen LimaPrecision Agriculture (PA) technologies introduction in coffee-growing is becoming essential to advances in sustainable cultivation and increase in output. Applications that involve PA techniques in coffee production are defined now as Precision Coffee growing (PC). Systematically explored, studies on the subject contribute to improvements in the area, relating soil variability to its impacts on plants. The PC’s scientific approach offers new forms of manage-ment and more security in coffee production. Aimed at reducing pesticides application and nutrients to the soil, contributing to sustainable development in coffee production. Initially, the research on coffee production had dealt with soil spatial variability, highlighting the geostatistical methods and specific ways to sample the soil. With technological advances in agriculture, new ways of monitoring spatial variability are available. In this context, studies are arising on spatial variability related to the plant, applying terrestrial, aerial and orbital sensors, possibly creating perspectives for monitoring and mapping coffee production. Artificial intelligence, Remotely Piloted Aircraft (ARP) products, harvesting yield sensors, automatic grain classifiers, and remote sensing stand out as new technologies under development in coffee production. These applications in PC involving multidisciplinary research demonstrate new relevant ways of improving crop managing and sustainability guaranteeing.Item Water retainer polymer in coffee plants deployment under different levels of irrigation(Editora UFLA, 2021) Resende, Thales Barcelos; Souza, Victor Hugo Silva; Castanheira, Dalyse Toledo; Carvalho, Milene Alves de Figueiredo; Guimarães, Rubens JoséThe use of water-retaining polymers may be a feasible alternative in regions with low water availability, as they has enhance the performance of coffee plants with more favorable anatomical characteristics to make physiological processes more efficient. However, the advantages of such use have been scarcely reported. Here, we studied the feasibility of using a water-retaining polymer to optimize irrigation water use during the establishment of a coffee plantation. A randomized block design was used in a factorial scheme (4 × 2) with three replications for a total of 24 experimental plots, each consisting of four pots, with one plant per unit. The experiment was installed in a greenhouse at the Coffee Science Department of the Universidade Federal de Lavras, Minas Gerais, Brazil, with four levels of irrigation (25%, 50%, 75%, and 100% of soil water at field capacity), with or without addition of the water-retaining polymer. Growth variables evaluated included: plant height, stem diameter, number of leaves, shoot and root dry weights, root volume and area. Additionally, gas exchange, leaf water potential, and leaf anatomy were analyzed. The use of water-retaining polymer during establishment of the coffee plantation ensured sufficient water supply, thus guaranteeing plant anatomical and physiological functionality and, consequently, a healthy, vigorous growth.Item Analysis of arabica coffee productivity due to shading, pruning, and coffee pulp-husk organic fertilizers treatments(Editora UFLA, 2021) Karim, Abubakar; Hifnalisa, Hifnalisa; Manfarizah, ManfarizahArabica coffee productivity can be increased through improved cultivation techniques. This research aims to analyze Arabica coffee production to treat shad ing, pruning, and coffee pulp-husk organic fertilizer application. The research was carried out in two stages, in the first stage a field survey was conducted to determine the relatively uniform land and plant characteristics, while in the second stage was the application of coffee pulp-husk organic fertilizer and pruning of shaded and non-shaded coffee plants by using farmer’s method and the recommended methods by the authors. The application of coffee pulp-husk or ganic fertilizer consists of 0, 2.50, 5.00, and 7.50 kg tree-1, which is equivalent to 0, 4, 8, and 12 tons ha-1 respectively. This research was arranged in a split-plot design, with shades placed in the main plot, while pruning and the application of coffee pulp-husk organic fertilizer in the subplots. The variables observed were the number of redcherries tree-1, greenbean (dry bean) production, and rendement (yield) production at 14% moisture content. Furthermore, the best effect and treatment were determined using variance analysis and the least significant difference (LSD). The result showed that shade only affected rende ment production at 14% moisture content, coffee with shade is better than no shade, pruning affected the number of redcherries and greenbean production. Furthermore, the recommended pruning was better than farmer pruning, while coffee pulp-husk organic fertilizer affected all observed variables. Therefore, the best dose is 7.50 kg tree-1 (12 ton ha-1) because the treatment combination (SxPxF) affected only greenbean production.Item Coffee crop science metric: a review(Editora UFLA, 2020) Pabon, Carlos David Rodriguez; Sánchez-Benitez, Juliana; Ruiz-Rosero, Juan; Ramirez-Gonzalez, GustavoCoffee is one of the leading worldwide drinks; therefore, it represents highly valued trade. However, coffee is a complex food from sowing to harvesting, processing, packaging, selling and consuming, although coffee is important in most of its stages, no studies have analyzed the dynamics of global coffee research. This paper presents an analysis of the evolution of Coffee related international research. It is based on the renowned literature databases published by Scopus and Web of Science. The parameters studied included growth of publications, the main journals, countries, institutions, and an author keywords analysis according to their relationship with topics such as agronomy, health, economy, chemistry or biological compound, product and unclassified words. Interest in harvesting techniques and coffee side factors have been increasing through last years in an exponential trend. Producer and consumer countries have composed a synergy with their research interest, that allows stating an upcoming growing in techniques headed to the quality beverage. The contribution is to visualize state of the art in the area of coffee knowledge to generate trends for future research.Item Effect of intercropping in shading with crotalaria on the initial development of coffee tree(Editora UFLA, 2019-10) Franco Junior, Kleso Silva; Terra, Ana Beatriz Carvalho; Florentino, Ligiane Aparecida; Carvalho, Julian Silva; Guimarães, Bernardino Cangussu; Silva, Nilton de OliveiraCoffee cultivation in Brazil is still predominantly in full sun. However, the shading technique has gained prominence to increase the sustainability and profitability of production. Coffee intercropping legumes, besides contributing to shading, act as green manure, improving soil characteristics. Thus, in this study the objective was evaluating the shading intercropping effect on the initial development of coffee trees. The experiment was carried out at Sítio Santa Felicidade, municipality of Campestre - Southern Minas Gerais. Four species of the Crotalaria genus were used and one control treatment without any intermediate species, totaling 5 treatments. The planting was carried out in 4 replicates per treatment, in a randomized block system (DBC), with 16 coffee plants per plot. The 10 central plants were used for evaluation. The variables analyzed were: seedling setting (%), plant height (cm), leaf area index (LAI), number of plagiotropic branch internodes and 50 cm from ground level (cm²), temperature (°C) and soil moisture (%). Data were statistically interpreted by variance analysis and comparisons of averages performed by the Scott-Knott test at 5% probability, using the statistical software SISVAR®. It was observed that, except seedling setting (%) wherein there was no statistical difference among treatments, the other parameters showed positive responses in intercropping with crotalaria when compared to the control, showing the beneficial effect of the use of this legume when intercropped with coffee tree.Item Shading effect on coffee tree in formation stage(Editora UFLA, 2019-04) Franco Junior, Kleso Silva; Florentino, Ligiane AparecidaAccording to the Intergovernmental Panel on Climate Change, global warming is expected with temperature rise and changes in the rainfall in tropical regions, including soil warming, which may lead losses to perennial plants. This phenomenon causes researchers to search through science alternatives in order to minimize these impacts. The objective in this research was to evaluate the cultivation of different plants in a intercropping for the coffee tree shading and its influence on the seedlings establishment, development, coffee growth and the maintenance of lower soil temperatures. The experiment was carried out at the Santa Felicidade Site, Campestre - municipality - South of MG , located at 21 ° 43’ 12 “South and 46 ° 14’ 46” West at an altitude of 1.106 meters. The cultivar used was the Catuai IAC 144, was intercropped with the following species: maize (Zea mays L.), guandu (Cajanus cajan L.), crotalaria (Crotalaria spectabilis L.), mucuna (Stizolobium aterrimun) and control without any intercrop, totaling five treatments. The plants sowing for shading was performed using a manual planter and the planting was done in 4 plots per treatment, totaling 20 experimental units in a randomized block design with 14 coffee plants per plot. The 10 central plants were analyzed. At the end of the experiment, the following characteristics were evaluated: seedlings establishment, growth in height, average length of plagiotropic branches, number of internodes in plagiotropic branches, coffee canopy and soil temperature. The data were statistically interpreted by means of variance analysis. The means were grouped by the Scott Knott test at 5% probability using the statistical software SISVAR®. According to the results obtained the shading plants in intercropped with the coffee tree managed in the post-planting and first-year phases contributed to a better coffee tree development, observed mainly in the treatments using the Crotalaria and Guandu species.Item The profile of small coffee producers in the south of Minas Gerais, Brazil(Editora UFLA, 2018-04) Corsini, Wanêssa Tavares Campos; Corsini, Fábio dos Santos; Naves, Luciana de Paula; Angelocci, Marina Ariente; Paiva, Leandro Carlos; Putti, Fernando FerrariHighly appreciated by all people worldwide, coffee is a commodity with great economical weight in Brazil. While underscoring analyses on coffee production by the scientific community, current assay deals with the profile of coffee producers in the rural regions of the towns Machado, Poço Fundo and others in the south of the state of Minas Gerais, Brazil. Field work with 225 small producers of the region comprised questionnaires which were analyzed and grouped statistically in discriminating clusters. The correlation of variables was assessed by Pearson ́s methodology. Results show that schooling level had a positive correlation with regard to the adequate use of fertilizers and insecticides. Higher schooling level provided greater knowledge on normalizations and correct soil management.Item Development of a methodology to determine the best grid sampling in precision coffee growing(Editora UFLA, 2018-07) Figueiredo, Vanessa Castro; Silva, Fabio Moreira da; Ferraz, Gabriel Araújo e Silva; Oliveira, Marcelo Silva de; Santos, Sthéfany Airane dosPrecision agriculture is based on a set of techniques that explore the spatial variability of properties related to a determined area. The aim of this study was to develop and test a methodology to evaluate the quality of grid sampling. The experiment was performed in three areas of 112, 50 and 26 ha, in coffee plantations (Coffea arabica ) with cultivar Catuai 144, in the Três Pontas Farm, located in Presidente Olegário, MG, Brazil, in 2014 and 2015. A total of 224, 100, and 52 georeferenced points (2.0 points/ha) were plotted in the areas regarding the soil chemical properties, respectively: phosphorus, potassium, calcium and magnesium. For the application methodology the standardized accuracy index (SAI), the standardized precision index (SPI) and the standardized optimal grid indicator (SOGI) were developed and tested. From grid 1 (2 points/ha), another three sampling grids (1.0, 0.7 and 0.5 point/ha) were adopted. The indexes were important to analyze the grid quality, whereas the SOGI allowed selecting the grid that best represented the properties.
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