Coffee Science
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3355
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Resultados da Pesquisa
Item Identification of soil physicochemical, land suitability, and its relationship to Coffee arabica yielding based on plant age groups(Universidade Federal de Lavras, 2023-08-25) Marbun, Posma; Bintang; Tampubolon, Koko; Sihombing, Fransisca Natalia; Simanjuntak, Desi Ratnasari; Irly, Irene; Sinuraya, MariatiThe low yield of Coffee arabica could be caused by several factors such as low soil characteristics and depending on the plant age. This study aimed: (1) to obtain information on soil physicochemical characteristics and productivity of Coffee arabica in different age groups, (2) to evaluate the land suitability for C. arabica plants and obtain the relationship between land characteristics and C. arabica yield. This study was conducted on C. arabica smallholders in Tarutung Subdistrict, North Tapanuli District, North Sumatra, Indonesia from October 2021 to February 2022 and used a descriptive-analytic method. Overlay maps of soil type, altitude, and slope to obtain a Soil Map Unit (SMU) then surveyed for the plant age distribution of 6-10 and 11-15 years. Land characteristics were analyzed by matching method, multiple linear regression, and t-test of yielding characters using IBM SPSS software. The results showed that the soil physicochemical characteristics were classified as low, the soil texture was slightly sticky, and higher productivity was found at 11-15 years old. It was found that the potential and actual land suitability classes were not suitable (N) in SMU-1 at 11-15 years, and other SMUs were classified as marginally suitable (S3). Altitude, silt, and clay fractions significantly affect the productivity of C. arabica plants at 6-10 years. However, an increase in altitude, cation exchange capacity, base saturation, and organic-C could be increased the productivity of C. arabica at 6-10 years.Item Organomineral fertilizer in coffee plant (Coffea arabica L.): Fertilizer levels and application times(Universidade Federal de Lavras, 2023-09-01) Mota, Raquel Pinheiro da; Ferraz-Almeida, Risely; Camargo, Reginaldo de; Franco, Miguel Henrique Rosa; Delvaux, Julio Cesar; Lana, Regina Maria QuintãoCoffee (Coffea arábica L.) is a fundamental agricultural commodity in the Brazilian economy, demanding a high amount of nutrients for good vegetative development and productivity. The tested hypothesis was that the use of the organomineral fertilizer promotes coffee production and development due to the greater availability of N, P, and K in the soil. The objective of this study was: (i) to monitor the use efficiency of the organomineral fertilizer rates; (ii) to determine the coffee production and development with the organomineral application. A study was developed with applications of four organomineral rates (75%, 100%, 125%, and 150% of the recommended P2O5 rate), three forms of parceling (one, two, and three applications of the organomineral fertilizer), and one control (100% mineral). Yield, soil, leaves, and plant development were monitored. Results showed that organomineral presented a win-win scenario with adequate disposal of residues and sources of nutrients in agriculture promoting the coffee yield from 49.5 (mineral fertilizers) to 53.5 sc ha-1 (100% of P2O5 in organomineral). The plant height, the diameter of the stem, and the canopy presented a quadratic response to organomineral rates with optimal rates fitted at 127; 140; and 140 %, respectively, but there was no direct effect on yield. The split organomineral applications promoted the contents of P and K in the soil, mainly when associated with higher organomineral rates. The K efficiency use was increased with organomineral application indicating the K was used with more efficiency.Item Initial performance of coffee trees with different fertilizationand irrigation management(Universidade Federal de Lavras, 2022-06-09) Silva Júnior, José Geraldo da; Pin, Iago Parmanhani; Ferreira, Daniel Soares; Castanheira, Dalyse ToledoCoffee is one of the main agricultural commodities in the world. However, due to its sensitivity to water stress and changes in the availability of finite sources of nutrients and the constant search for a more sustainable agriculture, it is necessary to modulate the responses of plants to soil water and the real nutritional demand of the coffee tree. Thus, the objective of this work was to analyze the initial performance of arabica coffee grown with or without water restriction and with five different soil fertilization managements, in order to propose more techniques to optimize coffee production. The exper-iment was carried out in a greenhouse, in the experimental area of the Federal University of Viçosa, in the city of Viçosa-MG. The experimental design was completely randomized in a 2x5 factorial scheme, with two irrigation depths (40% and 80% of the available water in the soil) and five fertilization managements (conventional 100% of the recommended dose, controlled release of 80 and 100% of N and recommended K and organomineral 80 and 100% N and K of the recommended dose). In view of the observed results, it can be observed that water restriction in the initial period of coffee develop-ment provided a reduction in the variables of root and shoot growth of the plants, regardless of the soil fertilization management used. In environments with greater water restriction, no significant difference was observed between the studied fertilizers and in an environment without water restriction, the controlled release fertilizer 80% presented the highest global growth averages. Water management provided a greater effect on coffee nutrient dynamics than duly studied fertilization management.Item Manganese and fluorine suppress bacterial blight on coffee seedlings grown in a nutrient solution(Editora UFLA, 2021) Velloso, Jeanny Alice; Pozza, Edson Ampelio; Pozza, Adelia Aziz Alexandre; Silva, Humberson Rocha; Pérez, Cristian David Plaza; Souza, José Otávio Gusmão deThe use of manganese (Mn) and fluorine (F) in the management of bacterial blight were evaluated in coffee seedlings grown in a nutrient solution. The experiment was carried out with the cultivar Catuaí Vermelho IAC 99. The treatments consisted of the combination of five doses of Mn with five of F, applied via leaf, using Mn sulfate and sodium fluoride, in a 5x5 factorial scheme. The plants were inoculated with bacterial suspension seven days after foliar application of F and Mn doses. The incidence and severity assessments were performed at an interval of 24 hours for 10 days. Photosynthetic activity was assessed using the infrared gas analyzer. Stomatal conductance, photosynthesis, transpiration, PAR radiation and internal CO2 were ana lyzed. The chlorophyll content was calculated indirectly. The leaf analysis was performed by digestion in HNO3 to determine the levels of Mn. Variables such as Area Under Incidence Disease Progress (AUIDP), Area Under Severity Disease Progress (AUSDP), chlorophyll a, b, and total concentrations and photosynthesis were submitted to the Shapiro-Wilk test. The treatment means were subjected to linear regression analysis. Data were analyzed using software R. There was a significant interaction (P <0.05) between the concentrations of Mn and F for the AUIDP and (AUSDP). Doses between 0.7 and 1.4 g L-1 of Mn combined with doses of 0.10 to 0.12 g L-1 of F were more effective in suppressing the bacterial blight, after analysis for both variables. The increase in Mn concentrations in leaves reduced liquid photosynthesis. The interaction between Mn and F suppressed the bacterial blight intensity of the coffee plants in nutrient solution.Item Determination of physical and chemical quality of coffee beans under improved potassium fertilization managements(Editora UFLA, 2021) Moreira, Diulie Talita; Mellis, Estêvão Vicari; Giomo, Gerson Silva; Teixeira, Luiz Antonio Junqueira; Cavalli, Edilson; Ramos, Lucas FerreiraCoffee quality is the key attribute for establishing its price and commercialization. As the classification of coffee quality is a complex process, mainly based on a subjective judgment, difficult to define and measure, a complementary approach to the current procedures involving physical and chemical methods would bring more effectiveness to the process of quality determination. The chemical composition of the coffee bean is influenced by several factors, among them the nutritional management of coffee trees and, the use of potassium chloride (KCl), which has intensified losses in bean quality due to excessive chlorine in its composition. The aim of this study was to evaluate the efficiency of sources and forms of K application in the quality of beans, and assessment of methodologies for determination of physical and chemical qualities of beans. The experiment was conducted with Yellow Ca tuaí cultivar, from 2017 to 2019, in a randomized experimental block design with five replicates. Six treatments were applied, containing proportions of KCl/K2SO4, as follows: T1-100% KCl; T2-75%/25%; T3-50%/50%; T4-25%/75%; T5-100% of K2SO4 and T6-100% of KCl + two foliar K2SO4 applications. The variables addressed in the study were sensory analysis, screen of beans, electrical conductivity (EC), potassium leaching (KL), titratable total acidity (TTA), and coffee bean color. It was verified that KL, EC, and other chromatic parameters were efficient in detecting alterations on coffee bean caused by the use of KC1. Total (T5) or partial (T4) replacement of KC1 by K2SO4 applied to soil improved chemical characteristics and color of coffee beans. Supplemental foliar fertilization with K2SO4 (T6) was efficient to minimize deleterious effects of KCl on quality of coffee beans, improving beverage quality and grain size, especially in high productive harvests.Item Use of foliar fertilizers as attenuators of injuries caused by glyphosate drift in young coffee plantations(Editora UFLA, 2020) Gonçalves, Ana Luisa Lucca; Pereira, Gustavo Antônio Mendes; Silva, Larissa Aparecida; Alves, Deivide Patrik; Pucci, Laís Franchini; Gonçalves, Victor Afonso Reis; Reis, Marcelo Rodrigues dosGlyphosate is the most used product for weed control in young coffee planting rows. The application is carried out in a directed way, avoiding the contact of the product with the crop. However, drift and consequent plant injuries frequently occur. An alternative to reduce these injuries is the use of attenuators capable of reducing the negative effects caused by this herbicide. Therefore, the objective of this study is to verify the efficiency of foliar fertilizers (Fertiactyl Pós® and Crop+) as attenuators of the toxic effects caused by the use of glyphosate in the coffee crop. Thus, coffee seedlings were subjected to different doses of the mixture of Fertiactyl Pós® with glyphosate and Crop+ with glyphosate. The treatments were applied on top of the plants. The percentage of coffee intoxication was evaluated at 14, 21, 28, 35, 42 and 90 days after application. At 90 days after application, height, leaf area and shoot and root dry matter were evaluated. Higher doses of glyphosate (1.44 and 2.88 kg ha-1) without the use of attenuators caused intoxication levels close to 80% at 28 and 90 DAA. The use of Fertiactyl Pós® and Crop+ reduced the injuries caused by the application of glyphosate, regardless of the dose of herbicide and fertilizers, but with different levels of action. All the morphological variables measured suffered a negative action with the isolated use of glyphosate, with a tendency to recover when the attenuators were applied. It is concluded that the two attenuators were efficient in suppressing the deleterious effects of glyphosate on coffee plants affected by this herbicide. For 0.720 kg ha-1 of glyphosate, the dose most used in the field, 8 L ha-1 is recommended for Fertiactyl Pós® and 4 L ha-1 for Crop+.Item Nutritional efficiency in phosphorus of arabica coffee genotypes(Editora UFLA, 2021) Vilela, Diego Júnior Martins; Coelho, Larissa Sousa; Silva, Douglas Ramos Guelfi; Carvalho, Gladyston Rodrigues; Botelho, Cesar Elias; Ferreira, André DominghettiNutritional efficiency is a term used to characterize plants in their capacity to uptake and use nutrients, being related to the efficiency of uptake, translocation, and utilization of nutrients. Different coffee genotypes are expected to exhibit variability in their nutritional efficiency. This work aimed to evaluate the phosphorus nutritional efficiency in arabica coffee genotypes. The experiment was carried out in a greenhouse of the Empresa de Pesquisa Agropecuária de Minas Gerais (EPAMIG), located in the municipality of Lavras – Minas Gerais, Brazil. The experimental design was a randomized complete block design, in a 10x2 factorial scheme (10 arabica coffee genotypes and two dosages of phosphate fertilization), with four replicates. Each experimental plot consisted of one pot with ten liters of soil, with one plant. The cultivars Catiguá MG2, MGS Ametista and Sarchimor MG 8840 are neither efficient nor responsive to phosphate fertilization. Progeny H 6-47-10 pl. 3 and the cultivar Catuaí Vermelho IAC 144 are not efficient but are responsive to phosphate fertilization. The cultivars Paraíso MG H 419-1, Topázio MG 1190 and MGS Paraíso 2 are efficient but are not responsive to phosphate fertilization. The cultivars Bourbon Amarelo IAC J10 and MGS Aranãs are efficient and responsive to phosphate fertilization.Item Biochemical parameters of an Oxisol submitted to high doses of gypsum in the coffee culture(Editora UFLA, 2020) Naves, Andrêssa de Paula; Silva, Aline Oliveira; Barbosa, Marisângela Viana; Pinto, Flávio Araújo; Santos, Jessé Valentim dos; Saggin Junior, Orivaldo José; Guimarães, Paulo Tácito Gontijo; Carneiro, Marco Aurélio CarboneThe objective of this study was to determine the influence of increasing doses of agricultural gypsum on the quality of the soil biochemical parameters in coffee cultivation (Coffea arabica L.) over two climatic seasons in the Brazilian Cerrado. Soil samples were collected in two seasons (dry and rainy season), at 0.00 – 0.10 m depth of an Oxisol, submitted to doses 0 (GSA); 3.5 (G3.5); 7.0 (G7.0) and 14 (G14) t ha-1 of agricultural gypsum in the coffee planting line. The biochemical parameters evaluated were: total organic carbon (TOC); microbial biomass carbon (MBC); soil basal respiration (SBR); absolute enzymatic activities [Urease, acid phosphatase, hydrolysis of fluorescein diacetate (FDA)], and enzymatic activity per unit of MBC. The significant effect (p ≤ 0.05) of gypsum doses was observed for MBC and SBR, which were higher in the treatment with G7.0 application. TOC, the enzymatic activities of Phosphatase and the FDA showed no differences between treatments. On the other hand, the specific enzymatic activities by MBC were used to describe the differences between the doses of gypsum applied, generally with greater activity in treatments G7.0 and G14. The accumulated coffee productivity was higher in G14 treatment. The results presented confirmed that the biochemical parameters of the soil are key in the evaluation of changes in soil use, and that the increase in gypsum favors activity and microbial biomass.Item Classification, physicochemical, soil fertility, and relationship to Coffee robusta yield in soil map unit selected(Editora UFLA, 2020) Marbun, Posma; Nasution, Zulkifli; Hanum, Hamidah; Karim, AbubakarThe research was aimed to classify, characterize the physicochemical properties, determine the fertility of the soil, and to obtain the relationship of soil fertility on the character yield for Coffee robusta in the 10 units of the soil map (SMUs) selected. This research was conducted in Silima Pungga-Pungga sub-District, Dairi District, North Sumatra Province, Indonesia from July 2014 to June 2017. This research was conducted by overlay the maps, classifying soil profiles, characterizing soil, soil fertility assessing, and regression analysis of soil fertility with the yield for Coffee robusta using IBM SPSS Statistics v.20 software. The result showed the ten from 18 SMUs selected for Coffee robusta had the highest area in sequentially, namely SMU 11, 14, and 1. Based on the ten SMUs selected, found in two representative soil profiles, include the profile 1 (SMU 1, 2, 8, 9, 11, 13, 14, 16, 18) covering an area of 1,703.30 ha with the inceptisol and profile 10 (SMU 10) covering an area of 176.81 ha with the entisol. Inceptisol has greater thesoil physicochemical properties compared to entisol from ten SMUs selected for Coffee robusta. The effect of cation exchange capacity, base saturation, P-total, K-total, and C-organic have significantly increased the productivity of Coffee robusta by 89.30%. However, the effect was not significant to the 100 grains of dry weight.Item Using unmanned aerial vehicle and machine learning algorithm to monitor leaf nitrogen in coffee(Editora UFLA, 2020) Parreiras, Taya Cristo; Lense, Guilherme Henrique Expedito; Moreira, Rodrigo Santos; Santana, Derielsen Brandão; Mincato, Ronaldo LuizNitrogen is an essential element for coffee production. However, when fertilization do not consider the spatial variability of the agricultural parameters, it can generate economic losses, and environmental impacts. Thus, the monitoring of nitrogen is essential to the fertilizing management, and remote sensing based on unmanned aerial vehicles imagery has been evaluated for this task. This work aimed to analyze the potential of vegetation indices of the visible range, obtained with such vehicles, to monitor the nitrogen content of coffee plants in southern Minas Gerais, Brazil. Therefore, we performed leaf analysis using the Kjeldahl method, and we processed the images to produce the vegetation indices using Geographic Information Systems and photogrammetry software. Moreover, the images were classified using the Color Index of Vegetation and the Maximum Likelihood Classifier. As estimator tool, we created Random Forest models of classification and regression. We also evaluated the Pearson correlation coefficient between the nitrogen and the vegetation indices, and we performed the analysis of variance and the Tukey-Kramer test to assess whether there is a significant difference between the averages of these indices in relation to nitrogen levels. However, the models were not able to predict the nitrogen. The regression model obtained a R2 = 0.01. The classification model achieved an overall accuracy of 0.33 (33%), but it did not distinguish between the different levels of nitrogen. The correlation tests revealed that the vegetation indices are not correlated with the nitrogen, since the best index was the Green Leaf Index (R = 0.21). However, the image classification achieved a Kappa coefficient of 0.92, indicating that the tested index is efficient. Therefore, visible indices were not able to monitor the nitrogen in this case, but they should continue to be explored, since they could represent a less expensive alternative.