Anais da Academia Brasileira de Ciências

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Arbuscular mycorrhizal fungi community in coffee agroforestry, consortium and monoculture systems
(Academia Brasileira de Ciências, 2022-06-27) Barros, Welluma T.; Barreto-Garcia, Patrícia A. B.; Saggin Júnior, Orivaldo José; Scoriza, Rafael N.; Silva, Maicon S. da
Understanding the effects of different production systems on arbuscular mycorrhizal fungi (AMF) can help to interpret interactions between their components and to define management strategies. As a result, our study was conducted on soils under three coffee production systems (one homogeneous and two heterogeneous) and in a native forest located in the Bahia state, Brazil. This study aimed to answer the following questions: 1) Does the organization and management of the coffee production system affect the occurrence and diversity of AMF?; and 2) Is the seasonality effect similar between systems? To do so, soil samples (0-10 cm depth) were collected at two times of the year (rainy and dry). Number of spores (NS) and average richness did not show differences between the systems, only between seasons. There was a reduction in NS in the dry season (1.4 and 2.7 spores g-1 soil) in relation to the rainy season (3.8 to 12.5 spores g-1 soil). The influence of coffee production systems was observed in the presence and absence of some AMF species. The AMF community was shown to be related to the plant species composition of the system, which was reflected in the dissimilarity of heterogeneous systems in relation to the coffee monoculture system.
Classifiers based on artificial intelligence in the prediction of recently planted coffee cultivars using a Remotely Piloted Aircraft System
(Academia Brasileira de Ciências, 2023-11-03) Bento, Nicole L.; Ferraz, Gabriel Araújo E.S.; Barata, Rafael Alexandre P.; Soares, Daniel V.; Teodoro, Sabrina A.; Estima, Pedro Henrique De O.
The classification and prediction methods through artificial intelligence algorithms are applied in different sectors to assist and promote intelligent decision-making. In this sense, due to the great importance in the cultivation, consumption and export of coffee in Brazil and the technological application of the Remotely Piloted Aircraft System (RPAS) this study aimed to compare and select models based on different data classification techniques by different classification algorithms for the prediction of different coffee cultivars (Coffea arabica L.) recently planted. The attributes evaluated were height, crown diameter, total chlorophyll content, chlorophyll A and chlorophyll B, Foliar Area Index (LAI) and vegetation indexes NDVI, NDRE, MCARI1, GVI, and CI in six months. The data were prepared programming language Python using algorithms of Decision Trees, Random Forest, Support Vector Machine and Neural Networks. It was evaluated through cross-validation in all methods, the distribution by FreeViz, the hit rate, sensitivity, specificity, F1 score, and area under the ROC curve and percentage and predictive performance difference. All algorithms showed good hits and predictions for coffee cultivars (0.768% Decision Tree, 0.836% Random Forest, 0.886 Support Vector Machine and 0.899 Neural Networks) and the Neural Networks algorithm produced more accurate predictions than other tested algorithm models, with a higher percentage of hits for the classes considered.
Consumer acceptability and fragrance quality differentiate on of Mogiana coffee types using the Check-All-That-Apply (CATA) method
(Academia Brasileira de Ciências, 2023-06-16) Benedito, Luiza Z.; Lima, Clara Mariana G.; Pires, Fabiana C.; Amaral, Ana Elisa; Verruck, Silvani; Pereira, Rosemary G. F. A.
Coffee, one of the most produced and consumed beverage in the world, has a range of variability in its quality. The aim of this work was to evaluate the consumer capacity to perceive the coffee quality through their fragrance and to verify the influence of previous information about quality on this perception using hedonic scale and Check All That Apply (CATA) sensory tests. The sensory tests were performed in two stages, one without and the other with quality related information of Mogiana coffee samples (Rio, Hard and Soft), and a traditional coffee sample. CATA attributes frequency of occurrence shows that samples discrimination could be done with specific attributes. For Soft coffee the attributes with more occurrence were sweet, caramel, brown sugar, and smooth. The Hard coffee sample was described by the attributes peanut, buttery, and chocolate. While for Rio coffee, the descriptive attributes most often mentioned were strong and burnt. The traditional sample stood out among consumers for its characteristics of old, medicine, sour, burnt, unpleasant and spicy. Therefore, the use of coffee powder fragrance can be alternative to differentiate the quality of the product and its function can be enhanced by passing on information on quality attributes to consumers.
Exposure To Climate Risk: A Case Study For Coffee Farming In The Region Of Alta Mogiana, São Paulo
(Academia Brasileira de Ciências, 2022-10-21) Torres, Guilherme A. L.; Zezzo, Larissa V.; São José, Rafael V. de; Greco, Roberto; Coltri, Priscila P.
Studies around the world show an increase in global average temperatures, with a consequent increase in extreme events and changes in the distribution of precipitation, causing a decrease in agricultural production and changes in planting areas. This study analyzed the exposure to climate risk that the coffee crop in the region of Alta Mogiana/SP, Brazil has been presenting in the past thirty years (1991-2021). Time series of daily data of maximum and minimum temperature and precipitation were used. By the statistical tests we observed a trend of increase in maximum temperatures daily of approximately 1.4°C and minimum daily of 0.8°C in the municipalities of the region and a trend towards a decrease in precipitation of 0.9 mm daily, indicating greater exposure of the coffee crop in the region to climate risk and increased vulnerability for the coffee producer. In view of these analyses, a literature review was carried out, suggesting agroforestry systems and mechanical irrigation as the most promising strategies to manage climate risk in coffee plantations. In addition, drought-resistant cultivars, training courses for farmers, increased rural insurance, and nutritional control of the plants can also be considered efficient options for climate exposure in coffee plantations from Alta Mogiana.
Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
(Academia Brasileira de Ciências, 2018) Giles, João Antonio D.; Partelli, Fábio L.; Ferreira, Adésio; Rodrigues, Joice P.; Oliosi, Gleison; Silva, Fernando H. Lima e
Knowledge of the genetic variability of a population is essential to guide its preservation and maintenance in addition to increasing the efficiency of genetic breeding programs. On this basis, this study was conducted to evaluate the genetic diversity of Coffea canephora genotypes using multivariate statistical procedures applied to a set of morpho-agronomic variables. The materials employed in this study constitute a crop located in Vila Valério - ES, Brazil, where the genotypes are arranged in a randomized-blocks experimental design with four replicates. Significant differences were detected by the F test at the 1% or 5% probability levels among the genotypes for all evaluated traits, demonstrating heterogeneity of genetic constitution in the studied population, which is favorable to breeding, as it indicates the possibility to identify superior and divergent individuals. Based on the generalized Mahalanobis distance, the most divergente combinations were obtained between genotypes 23 and 10 (256.43) and 23 and 17 (250.09). The clusters formed by Tocher’s optimization and the UPGMA hierarchical method agreed, both similarly grouping the genotypes into three clusters. Of the analyzed traits, mature fruit weight (19.08%), yield (15.50%), plant diameter (12.42%), and orthotropic-shoot internode length (10.94%) were the most efficient to explain the dissimilarity among the genotypes.
Green coffee extract attenuates Parkinson’s-related behaviors in animal models
(Academia Brasileira de Ciências, 2021-11-01) Molska, Graziella R.; Paula-Freire, Lyvia Izaura G.; Sakalem, Marna E.; Köhn, Daniele O.; Negri, Giuseppina; Carlini, Elisaldo A.; Mendes, Fúlvio R.
Epidemiological studies have shown an inverse association between coffee consumption and the development of Parkinson’s disease (PD). The effects of the oral treatment with green (non-roasted) coffee extracts (CE, 100 or 400 mg/kg) and caffeine (31.2 mg/kg) were evaluated on catalepsy induced by haloperidol in mice, and unilateral 6-OHDA lesion of medial forebrain bundle (MFB) or striatum in rats. Also, the in vitro antioxidant activity and the monoamine levels in the striatum were investigated. CE presented a mild antioxidant activity in vitro and its administration decreased the catalepsy index. CE at the dose of 400 mg/kg induced ipsilateral rotations 14 days after lesion; however, chronic 30-day CE and caffeine treatments did not interfere with the animals’ rotation after apomorphine or methamphetamine challenges in animals with MFB lesion, nor on monoamines levels. Furthermore, CE and caffeine were effective in inhibiting the asymmetry between ipsilateral and contralateral rotations induced by methamphetamine and apomorphine in animals with lesion in the striatum but did not avoid the monoamines depletion. These results indicate that CE components indirectly modulate dopaminergic transmission, suggesting a pro-dopaminergic action of CE, and further investigation must be conducted to elucidate the mechanisms of action and the possible neuroprotective role in PD.
Hormesis with glyphosate depends on coffee growth stage
(Academia Brasileira de Ciências, 2013) Carvalho, Leonardo B. de; Alves, Pedro L. C. A.; Duke, Stephen O.
Weed management systems in almost all Brazilian coffee plantations allow herbicide spray to drift on crop plants. In order to evaluate if there is any effect of the most commonly used herbicide in coffee production, glyphosate, on coffee plants, a range of glyphosate doses were applied directly on coffee plants at two distinct plant growth stages. Although growth of both young and old plants was reduced at higher glyphosate doses, low doses caused no effects on growth characteristics of young plants and stimulated growth of older plants. Therefore, hormesis with glyphosate is dependent on coffee plant growth stage at the time of herbicide application.
Impact of coffee biochar on carbon, microbial biomass and enzyme activities of a sandy soil cultivated with bean
(Academia Brasileira de Ciências, 2021) Martins Filho, Argemiro P.; Medeiros, Erika V. de; Lima, José Romualdo S.; Costa, Diogo P. da; Duda, Gustavo P.; Silva, Jenifer S. A. da; Oliveira, Julyana B. de; Antonino, Antônio C. D.; Menezes, Rômulo S. C.; Hammecker, Claude
Biochar has been used to reuse the agro-industrial wastes and improve soil quality. Several studies have been carried out to show the impact of biochar on physical and chemical soil attributes. However, there are still gaps regarding the effects on as microbial biomass and enzymatic activities that are important to determine sensitive indicators to evaluate changes in management practices. The objective of this study was to assess the effect of two biochars on the chemical, microbial biomass carbon, and the enzymatic activities in an Entisol cultivated with bean. We evaluate two types of coffee biochar: ground and husks, four doses (4, 8, 12, and 16 Mg ha-1) and control. All treatments received organic fertilization with cow manure. Husks biochar increase the soil pH, Ca, and K, also contributing to the reduction of toxic aluminum contentes and raising the concentrations of P labile. The treatments that received ground biochar showed higher soil organic carbon, microbial biomass, β-glucosidase, and fl uorescein diacetate. Biochar produced from coffee residues increased sandy soil quality. We showed the fi rst report on the benefi cial impact of coffee biochar on enzymatic and microbiological quality of sandy soil cultivated with the bean.
Increased atmospheric CO2 combined with local climatic variation affects phenolics and spider mite populations in coffee trees
(Academia Brasileira de Ciências, 2021) Batista, Eunice R.; Marinho-Prado, Jeanne S.; Mineiro, Jeferson L. C.; Sato, Mário E.; Luiz, Alfredo J. B.; Frighetto, Rosa T. S.
Modelling studies on climate change predict continuous increases in atmospheric carbon dioxide concentration [CO2] and increase in temperature. This may alter carbon-based phytochemicals such phenolics and modify plant interactions with herbivorous. We investigated the effects of enhanced [CO2] and local climatic variation on young coffee plants, Coffea arabica L. cv Catuaí vermelho IAC-144 and Obatã vermelho IAC-1669-20, cultivated in the FACE (Free-Air Carbon Dioxide Enrichment) facility under two atmospheric [CO2] conditions. Coffee leaves were evaluated for total soluble phenolics (TSP), chlorogenic (5-CQA) and caffeic (CAF) acids, diversity and population size of mites, along two dry and two rainy seasons. Elevated atmospheric CO2 (e[CO2]) signifi cantly decreased 5-CQA in cv. Catuaí but did not affect cv. Obatã. Species richness and population size of mites in coffee leaves were not affected by e[CO2] but were strongly related to the seasonal variability of coffee leaf phenolics. In general, high levels of phenolics were negatively correlated with population size while the mite species richness were negatively correlated with 5-CQA and TSP levels. Our fi ndings show that [CO2] enhancement affects phenolics in coffee plants differentially by cultivars, however seasonality is the key determinant of phenolics composition, mite species richness and population size.
Influence of hulling and storage conditions on maintaining coffee quality
(Academia Brasileira de Ciências, 2023-12-11) Abreu, Giselle F.; Rosa, Sttela D.V.F.; Coelho, Stefânia V.B.; Pereira, Cristiane C.; Malta, Marcelo R.; Fantazzini, Tatiana B.; Vilela, Amanda L.
Storage is important in the coffee post-harvest. Determining the maximum period that coffee can remain storaged is important aiming to reduce losses in quality and, consequently, allow the producer to achieve maximum profitability. The aim was to determine the suitable storage period for natural and fully washed coffees, under different conditions. Beans were dried to 11% moisture content after dry processing (natural coffee, dry cherry coffee) and wet processing (parchment coffee, fully washed). Before storage, part of the coffee was hulled and part was not. The coffee was stored under refrigerated air (10ºC and 50% relative humidity) or in an environment at 25ºC. In the periods of 0, 3, 6, and 12 months, samples were taken for sensory, electrical conductivity and tetrazolium evaluation. Refrigerated environment favors conservation of sensory and physiological quality of the natural hulled coffee beans and fully washed coffee. Hulled beans of natural and fully washed coffee stored under refrigerated conditions have the initial quality conserved for up to 12 months and in non-controlled environmental, for up to 3 months. Mechanical damage caused by hulling, associated with the lack of tissue fruit parts, contributes to reduction hulled coffee quality in storage, regardless of the processing.
Molecular characterization of parents and hybrid progenies of conilon coffee
(Academia Brasileira de Ciências, 2021) Souza, Lucimara C. de; Ferrão, Maria Amélia G.; Carvalho, Rodrigo D.; Ferrão, Romário G.; Fonseca, Aymbiré F. A. da; Pinheiro, Patrícia F.; Soares, Taís C. B.
The objective of the present work was the molecular characterization of 11 parents and 101 hybrid progenies of conilon coffee, obtained through diallel crosses from the breeding program of the Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural (Incaper, ES, Brazil). The analyses were performed with 18 Simple Sequence Repeat (SSR) molecular markers, obtaining a total of 32 alleles. SSR markers were classifi ed as moderately informative (PIC = 0.37), being effi cient in characterizing individuals. High genetic diversity was verifi ed in the 112 genotypes, based on the greater values of observed heterozygosity about to the expected heterozygosity (0.55 and 0.44, respectively), negative values for the fi xation index (F) (-0.14), and the formation of distinct groups by UPGMA. These results indicate high genetic variability among the conilon coffee genitors, which remained similar and persisting in the progenies. The average dissimilarity between parents was 0.29 and between progenies 0.34. The progenies 38 and 40 and the parent P11 were considered the most divergent in the study. The genetic variability found can be explored in the genetic breeding of the conilon coffee and guide crossings between diversifi ed and compatible genetic materials, for the composition of novel cultivars for the state of Espírito Santo.
Physical characterization of Arabica ground coffee with different roasting degrees
(Academia Brasileira de Ciências, 2019) Nakilcio´glu-tas, Emine; Ötles, Semh
Roasting is a determinative operation on the final quality of coffee. Roasting process causes physical, chemical and sensory changes on coffee. In this study roasting degree effect on physical properties of Arabica fine ground coffee was examined. The bulk properties, particle property, reconstitution properties, moisture content, water activities and color properties were investigated in different roasting degrees of coffee. The results showed that the physical characteristics of coffee samples were influenced by the degree of roast. To have longer shelf life, lower cost and better physical attributes of Arabica fine ground coffee, the roasting process should be kept at a lower degree. At the same time the requests and expectations of customer should also be considered.
Purification and characterization of a protease from Aspergillus sydowii URM5774: Coffee ground residue for protease production by solid state fermentation
(Academia Brasileira de Ciências, 2021) Rocha, Felype T. B.; Brandão-Costa, Romero M. P.; Neves, Anna Gabrielly D.; Cardoso, Kethylen B. B.; Nascimento, Thiago P.; Albuquerque, Wendell W. C.; Porto, Ana Lúcia F.
Solid state fermentation is a promising technology largely used in biotechnology process and is a suitable strategy for producing low-cost enzymatic products. At the present study, a novel enzyme obtained through solid state fermentation using Aspergillus sydowii was herein purifi ed and characterized. The fermentations used coffee ground residue as substrate and the crude enzyme was submitted through further purifi cation steps of: acetonic precipitation, DEAE-Sephadex and Superdex G-75 column. Both crude and purifi ed enzymes were submitted to biochemical characterization of their thermostability, optimal temperature and pH, effects of inhibitors and metal ions. A purifi ed protease was obtained with yield of 5.9-fold and 53% recovery, with maximal proteolytic activity of 352.0 U/mL. SDS-PAGE revealed a band of protein at 47.0 kDa. The enzyme activity was abolished in the presence of phenyl-methyl sulfonyl fl uoride and partially inhibited against Triton X-100 (78.0%). The optimal activity was found in pH 8.0 at 45°C of temperature. Besides, the enzyme showed stability between 35°C and 50°C. It was possible to determine appropriate conditions to the obtainment of thermostable proteases with biotechnological interest associated with a method that concomitantly shows excellent production levels and recovery waste raw material in a very profi table process.
Scale insects (Hemiptera: Coccoidea) associated with arabica coffee and geographical distribution in the neotropical region
(Academia Brasileira de Ciências, 2017) Fornazier, Maurício J.; Martins, David S.; Willink, Maria Cristina G. de; Pirovani, Victor D.; Ferreira, Paulo S. F.; Zanuncio, José C.
Coffee is one of the most important Brazilian agricultural commodities exported, and Minas Gerais and Espírito Santo States are the main coffee producers. Scale insects are important coffee pests, and 73 species of Cerococcidae (3), Coccidae (18), Diaspididae (6), Eriococcidae (1), Ortheziidae (3), Pseudococcidae (21), Putoidae (2) and Rhizoecidae (19) have been associated with roots, branches, leaves, flowers and fruits of Arabica coffee in the Neotropics. Eight species were found associated with Arabica coffee in Minas Gerais and Espírito Santo States in this study, and Coccidae was the most frequent family. Coccus alpinus, Cc. celatus, Cc. lizeri, Cc. viridis, and Saissetia coffeae (Coccidae) were found in both states; Alecanochiton marquesi, Pseudaonidia trilobitiformis (Diaspididae), and Dysmicoccus texensis (Pseudococcidae) were only found in Minas Gerais. Alecanochiton marquesi and P. trilobitiformis are first reported in Minas Gerais, and Cc. alpinus in Espírito Santo, on Arabica coffee. All scale insect species were associated with coffee leaves and branches, except D. texensis, associated with coffee roots. Fourty seven scale insect species have been found occurring in Brazilian Arabica coffee, and in Espírito Santo (28) and Minas Gerais (23). Widespread and geographical distribution of each species found are discussed.
Seasonal behavior of vegetation determined by sensor on an unmanned aerial vehicle
(Academia Brasileira de Ciências, 2021-04-09) Felix, Filipe C.; Avalos, Fabio A.P.; Lima, Wellington De; Cândido, Bernardo M.; Silva, Marx L.N.; Mincato, Ronaldo L.
Geographic information systems make it possible to obtain fine scale maps for environmental monitoring from airborne sensors on aerial platforms, such as unmanned aerial vehicles (UAVs), which offer products with low costs and high space-time resolution. The present study assessed the performance of an UAV in the evaluation of the seasonal behavior of five vegetation coverages: Coffea spp., Eucalyptus spp., Pinus spp. and two forest remnants. For this, vegetation indices (Excess Green and Excess Red minus Green), meteorological data and moisture of surface soils were used. In addition, Sentinel-2 satellite images were used to validate these results. The highest correlations with soil moisture were found in coffee and Forest Remnant 1. The Coffea spp. had the indices with the highest correlation to the studied soil properties. However, the UAV images also provided relevant results for understanding the dynamics of forest remnants. The Excess Green index (p = 0.96) had the highest correlation coefficients for Coffea spp., while the Excess Red minus Green index was the best index for forest remnants (p = 0.75). The results confirmed that low-cost UAVs have the potential to be used as a support tool for phenological studies and can also validate satellite-derived data.
The 15N isotope to evaluate fertilizer nitrogen absorption efficiency by the coffee plant
(Academia Brasileira de Ciências, 2007) Fenilli, Tatiele A. B.; Reichart, Klaus; Bacchi, Osny O. S.; Trivelin, Paulo C. O.; Dourado-Neto, Durval
The use of the 15N label for agronomic research involving nitrogen (N) cycling and the fate of fertilizer-N is well established, however, in the case of long term experimentation with perennial crops like citrus, coffee and rubber tree, there are still shortcomings mainly due to large plant size, sampling procedures, detection levels and interferences on the system. This report tries to contribute methodologically to the design and development of 15N labeled fertilizer experiments, using as an example a coffee crop fertilized with 15N labeled ammonium sulfate, which was followed for two years. The N of the plant derived from the fertilizer was studied in the different parts of the coffee plant in order to evaluate its distribution within the plant and the agronomic efficiency of the fertilizer application practice. An enrichment of the fertilizer-N of the order of 2% 15N abundance was sufficient to study N absorption rates and to establish fertilizer-N balances after one and two years of coffee cropping. The main source of errors in the estimated values lies in the inherent variability among field replicates and not in the measurements of N contents and 15N enrichments of plant material by mass-spectrometry.