Cup Quality Research Articles

Single Origin Coffee Aroma: From Optimized Flavor Protocols and Coffee Customization to Instrumental Volatile Characterization and Chemometrics.

In this study, the aroma profile of 10 single origin Arabica coffees originating from eight different growing locations, from Central America to Indonesia, was analyzed using Headspace SPME-GC-MS as the analytical method. Their roasting was performed under temperature–time conditions, customized for each sample to reach specific sensory brew characteristics in an attempt to underline the customization of roast profiles and implementation of separate roastings followed by subsequent blending as a means to tailor cup quality. A total of 138 volatile compounds were identified in all coffee samples, mainly furan (~24–41%) and pyrazine (~25–39%) derivatives, many of which are recognized as coffee key odorants, while the main formation mechanism was the Maillard reaction. Volatile compounds’ composition data were also chemometrically processed using the HCA Heatmap, PCA and HCA aiming to explore if they meet the expected aroma quality attributes and if they can be an indicator of coffee origin. The desired brew characteristics of the samples were satisfactorily captured from the volatile compounds formed, contributing to the aroma potential of each sample. Furthermore, the volatile compounds presented a strong variation with the applied roasting conditions, meaning lighter roasted samples were efficiently differentiated from darker roasted samples, while roasting degree exceeded the geographical origin of the coffee. The coffee samples were distinguished into two groups, with the first two PCs accounting for 73.66% of the total variation, attributed mainly to the presence of higher quantities of furans and pyrazines, as well as to other chemical classes (e.g., dihydrofuranone and phenol derivatives), while HCA confirmed the above results rendering roasting conditions as the underlying criterion for differentiation.

Selection of Elite Genotypes of Coffee arabica L. to Produce Specialty Coffees

This study aimed to evaluate the cup quality of Coffea arabica elite genotypes submitted to wet processing. C. arabica elite genotypes, which were grouped according to their genealogy: Bourbon, Paraíso Germplasm, and Resistant to Rust. Coffees were sent to wet processing to obtain fully washed coffee. After processing and drying the coffees were subjected to cup quality analysis according to the methodology of the Association of Special Coffees (SCA). To characterize and discriminate the genealogical groups the data were submitted to chemometric analysis, Principal Component Method (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA). The PCA was effective in presenting an overview of the data, demonstrating the variables that most contributed to the analysis response. However, the PCA was not efficient to group genotypes according to their genealogical origin, based on chemometric data, as it is an unsupervised analysis. Even though most of the samples were classified correctly, the PLS-DA model created has not yet managed to correctly classify the genotypes of the Paraíso germplasm group. The C. arabica elite genotypes evaluated have the potential to produce special coffees, especially on the genotypes Paraíso 2, H493-1-2-10 and UFV-7158 with scores equal to or above 90 points.

Microbial diversity associated with spontaneous coffee bean fermentation process and specialty coffee production in northern Colombia

Coffee fermentation involves the action of microorganisms, whose metabolism has a significant influence on the composition of the beans and, consequently, on the beverage's sensory characteristics. In this study, the microbial diversity during the wet fermentation of Coffea arabica L. in the Sierra Nevada of Santa Marta (SNSM) in Colombia was explored by high-throughput sequencing and the resulting cup quality through the standards of the Specialty Coffee Association. The taxonomic assignment of sequence reads showed a high microbial diversity comprised of 695 bacterial and 156 fungal genera. The microbial community was dominated by the Lactic Acid Bacteria (LAB) Leuconostoc, the yeast Kazachstania, and the Acetic Acid Bacteria (AAB) Acetobacter. Co-occurrence relationships suggested synergistic patterns between populations of LAB-AAB, yeasts-AAB, Leuconostoc-Prevotella, LAB-ABB-Selenomonas, and yeasts-fungi-nonLAB-nonAAB, which may result in the production of metabolites that positively impact the sensory attributes of coffee. The beverages produced were classified as specialty coffees, and their score was positively influenced by the fungal richness and the abundance of unclassified Lactobacillales, Pichia, and Pseudomonas. The findings show the richness and microbial diversity of the SNSM and serve as input for future research such as the analysis of microbial-derived metabolites and the establishment of starter cultures in coffee processing that guarantee the generation of high-quality beverages, the standardization of processes, the reduction of economic losses, and the production of value-added products that allow taking advantage of specialty coffee market.

Quality Analysis of Coffee Bean Treated by Sunning and Water Washing processing

The quality of coffee bean determines the evaluation of coffee cup. The Coffea arabica was selected for initial processing and cup quality analysis by sun and water washing treatment, respectively. The results showed that the caffeic acid was bright in cyclic washing treatment, the balance was the best in washing processing, the mellow in semi-washing was better, but the comprehensive quality of sunning was the best. This study provides a theoretical basis and practical reference for the production and processing of Yunnan coffee.

The effect of drying temperature on cup quality of coffee subjected to mechanical drying

The objective of the work was to study the effect of drying temperature on cup quality of the robusta coffee subjected to mechanical drying in comparison with conventional sun drying. The robusta coffee processed by wet (parchment coffee) and dry (cherry coffee) methods were subjected to drying at different temperature regimes (40 oC, 50 oC and 60 oC) in a rotary mechanical dryer. The results of the study indicated that as the drying temperature increased, the time of drying reduced. Sun drying of parchment coffee took 48 hours (approximately seven days) to attain the desired moisture content of 11-12 per cent, while mechanical drying reduced the drying time to 16 to 24 hours. Similarly, cherry coffee subjected to sun drying took 88 hours (approximately 15 days), while mechanical drying reduced the drying time to 32 to 48 hours. The cup quality rating of coffee dried by different drying methods revealed that sun-dried robusta parchment coffee scored the highest cup rating. As the drying temperature increased, the cup quality ratings decreased. A similar cup quality rating was also observed with cherry coffee. These results indicate a considerable reduction of drying time when coffee beans are dried in a mechanical dryer. However, there is a need to regulate the drying temperature, which otherwise would negatively impact the quality of coffee. The drying temperature should not exceed 40oC for preserving the innate quality of robusta coffee because the high drying rates provoked by high temperatures can cause damage to the coffee quality due to the damage caused to the cell membranes. Overall, mechanical drying is more advantageous to sun drying in-terms of drying hours (indirectly reduces dependency on manpower) and preservation of innate quality of the coffee.

Development of a novel green tea quality roadmap and the complex sensory-associated characteristics exploration using rapid near-infrared spectroscopy technology

Nondestructive instrumental identification of the green tea quality instead of professional human panel tests is highly desired for industrial application recently. The special flavor is a key quality-trait that influence consumer preference. However, flavonoids, as well as sensory-associated compounds, which play a critical role in the quality-traits profile of green tea samples have been poorly investigated. In this study, we were proposing an objective and accurate near infrared spectroscopy (NIRS) profile to support quality control within the entire green tea sensory evaluation chain, the complexity of green tea samples’ sensory analysis was performed by two complementary methods: the standard calculation and the novel NIRS roadmap coupled with chemometrics. The green tea samples’ physical quality, gustatory index, and nutritional index were measured respectively, which taking into consideration the gustatory evaluation of green tea for five commercially representative overall quality (“very bad”, “bad”, “regular”, “good” and “excellent”). Our findings highlight the underexplored role of NIRS in chemical-to-sensory relationships and its widespread importance and utility in green tea quality improvement. Collectively, the comprehensive characterization of sensory-associated attribution allowed the identification of a wide array of spectrometric features, mostly related to moisture, soluble solids (SS), tea polyphenol (TPP), epigallocatechin gallate (EGCG), epicatechin (EC) and tea polysaccharide (TPS), which can be used as putative biomarkers to rapidly evaluate the green tea flavor variations related to rank differences. Otherwise, the NIRS’ data were split into the calibration (n = 80) and prediction (n = 40) set independently, which showed high correlation coefficient with Rp-values of 0.9024, 0.9020 in physical and total cup quality, respectively. In this research, we demonstrated that NIRS was an easily-generated strategy and able to close the loop to feedback into the process for advanced process control. However, the established models should be improved by more green tea samples from different regions.

Integrated 1H NMR fingerprint with NIR spectroscopy, sensory properties, and quality parameters in a multi-block data analysis using ComDim to evaluate coffee blends

Coffee quality is determined by several factors and, in the chemometric domain, the multi-block data analysis methods are valuable to study multiple information describing the same samples. In this industrial study, the Common Dimension (ComDim) multi-block method was applied to evaluate metabolite fingerprints, near-infrared spectra, sensory properties, and quality parameters of coffee blends of different cup and roasting profiles and to search relationships between these multiple data blocks. Data fusion-based Principal Component Analysis was not effective in exploiting multiple data blocks like ComDim. However, when a multi-block was applied to explore the data sets, it was possible to demonstrate relationships between the methods and techniques investigated and the importance of each block or criterion involved in the industrial quality control of coffee. Coffee blends were distinguished based on their qualities and metabolite composition. Blends with high cup quality and lower roasting degrees were generally differentiated from those with opposite characteristics.

Sensory Characteristics of Dry Aroma and Cupping Quality of Coffee from Pu’er Producing Area

Sensory Characteristics of Dry Aroma and Cupping Quality of Coffee from Pu’er Producing Area

Lipidomic and metabolomic profiles of Coffea canephora L. beans cultivated in Southwestern Nigeria

Coffee (Coffea spp.) is one of the most popular refreshing beverages globally. Coffee lipid diversity has untapped potential for improving coffee marketability because lipids contribute significantly to both the health benefits and cup quality of coffee. However, in spite of its potential importance, there have not been extensive studies of lipids among C. canephora genotypes. In this study, ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) profiling of lipid molecules was performed for 30 genotypes consisting of 15 cultivated and 15 conserved genotypes of C. canephora in Southwestern Nigeria. We identified nine classes of lipids in the 30 genotypes which belong to the 'Niaouli', 'Kouillou' and 'Java Robusta' group: among these, the most abundant lipid class was the triacylglycerols, followed by the fatty acyls group. Although 'Niaouli' diverged from the 'Kouillou' and 'Java Robusta' genotypes when their lipid profiles were compared, there was greater similarity in their lipid composition by multivariate analysis, compared to that observed when their primary metabolites and especially their secondary metabolite profiles were examined. However, distinctions could be made among genotypes. Members of the fatty acyls group had the greatest power to discriminate among genotypes, however, lipids that were low in abundance e.g. a cholesterol ester (20:3), and phosphotidylethanolamine (34:0) were also helpful to understand the relationships among C. canephora genotypes. The divergent lipid profiles identified among the C. canephora genotypes, correlated with their Single Nucleotide Polymorphism grouping as assessed by genotype-by-sequencing, and will be exploited to improve coffee cup quality.

Unveiling a unique genetic diversity of cultivated Coffea arabica L. in its main domestication center: Yemen

Whilst it is established that almost all cultivated coffee (Coffea arabica L.) varieties originated in Yemen after some coffee seeds were introduced into Yemen from neighboring Ethiopia, the actual coffee genetic diversity in Yemen and its significance to the coffee world had never been explored. We observed five genetic clusters. The first cluster, which we named the Ethiopian-Only (EO) cluster, was made up exclusively of the Ethiopian accessions. This cluster was clearly separated from the Yemen and cultivated varieties clusters, hence confirming the genetic distance between wild Ethiopian accessions and coffee cultivated varieties around the world. The second cluster, which we named the SL-17 cluster, was a small cluster of cultivated worldwide varieties and included no Yemen samples. Two other clusters were made up of worldwide varieties and Yemen samples. We named these the Yemen Typica-Bourbon cluster and the Yemen SL-34 cluster. Finally, we observed one cluster that was unique to Yemen and was not related to any known cultivated varieties and not even to any known Ethiopian accession: we name this cluster the New-Yemen cluster. We discuss the consequences of these findings and their potential to pave the way for further comprehensive genetic improvement projects for the identification of major resilience/adaptation and cup quality genes that have been shaped through the domestication process of C. arabica.

Green bean biochemical attributes of Arabusta coffee hybrids from Kenya using HPLC and soxhlet extraction methods

Robusta coffee yields higher than Arabica coffee. However, it is limited by the inferior cup quality. The biochemical compounds found in coffee interact and determines the final cup quality. The objective of the study was to characterize the biochemical compounds found in Arabusta coffee hybrids. Twenty coffee genotypes including the Arabusta hybrids, backcrosses, Robusta and Arabica coffee were established at KALRO-Alupe (Busia) and Siaya -ATC in the year 2015. Coffee cherry was harvested and processed in the year 2018 and the green beans were analysed for sucrose, oil, trigonelline, caffeine and chlorogenic acids using the HPLC and soxhlet method. There were significant differences amongst the genotypes for these biochemical compounds across the two different environments (Busia and Siaya counties). Robusta recorded higher levels of caffeine and chlorogenic acids while the Arabusta hybrids recorded intermediate levels of the biochemical compounds between the Robusta and Arabica coffee species. The Genotype by Environment (G x E) interaction effect was only significant for chlorogenic acids. Caffeine, sucrose, oil and trigonelline levels were significantly high for genotypes evaluated in Siaya when compared to Busia. Chlorogenic acid had a positive significant association with caffeine, but was negatively correlated with coffee oil and sucrose. Coffee oil indicated a positive significant association with sucrose and Trigonelline. The Principal Component Analysis (PCA) differentiated the genotypes based on the levels of biochemical compounds indicating high genetic variation amongst the genotypes. Arabusta hybrids exceeded Robusta coffee in performance of biochemical compounds which implies that there was a successful introgression of quality genes

Effectiveness of Single Nucleotide Polymorphism Markers in Genotyping Germplasm Collections of Coffea canephora Using KASP Assay.

Accurate genotype identification is imperative for effective use of Coffea canephora L. germplasm to breed new varieties with tolerance or resistance to biotic and abiotic stresses (including moisture stress and pest and disease stresses such as coffee berry borer and rust) and for high yield and improved cup quality. The present study validated 192 published single nucleotide polymorphism (SNP) markers and selected a panel of 120 loci to examine parentage and labeling errors, genetic diversity, and population structure in 400 C. canephora accessions assembled from different coffee-producing countries and planted in a field gene bank in Ghana. Of the 400 genotypes analyzed, both synonymous (trees with same SNP profiles but different names, 12.8%) and homonymous (trees with same name but different SNP profiles, 5.8%) mislabeling were identified. Parentage analysis showed that 33.3% of the progenies derived from controlled crossing and 0% of the progenies derived from an open pollinated biclonal seed garden had parentage (both parents) corresponding to breeder records. The results suggest mislabeling of the mother trees used in seed gardens and pollen contamination from unwanted paternal parents. After removing the duplicated accessions, Bayesian clustering analysis partitioned the 270 unique genotypes into two main populations. Analysis of molecular variance (AMOVA) showed that the between-population variation accounts for 41% of the total molecular variation and the genetic divergence was highly significant (Fst = 0.256; P < 0.001). Taken together, our results demonstrate the effectiveness of using the selected SNP panel in gene bank management, varietal identification, seed garden management, nursery verification, and coffee bean authentication for C. canephora breeding programs.

Treasured exceptions: Association of morphoanatomical leaf traits with cup quality of Coffea arabica L. cv. “Catuaí”

The morphoanatomical characteristics of leaves were associated with altitude, hillside, and the cup quality of coffee produced in the Matas de Minas region. Although the small magnitude, there are correlations between cup quality with altitude and morpho-anatomical traits. Despite facing the differences of management inherent to 363 sampling sites, Northwestern hillside had significant lower cup quality, whereas only stomata density (SD) and thickness of the leaf epidermis in the adaxial face (AdET) showed significant differences between hillsides. Altitude, leaf mass per area (LMA) and SD, and to a lesser extent the thickness of the leaf epidermis in the abaxial face (AbET), were correlated (Spearman’s correlation) with cup quality. Interestingly, AbET correlations were negative. Mantel’s test significant correlations were found between coffee cup quality vs. altitude, LMA and petiole phloem area (PPhA). The spatial autocorrelation was significant only with LMA. Also, SD, to a lesser extent, was associated with cup quality. Despite the complexity of the association among the environment, plant growth and development, this is the first report to associate morpho-anatomical features of the leaf with the coffee cup traits. Even with the expectation of genotype/species vs environment interactions, and the influence of other parameters associated with post-harvest, roasting and brewing, the evaluation of LMA, SD, AdET, AbET and the thickness of the palisade parenchyma (PPT) allow a novel approach to access coffee cup quality.

Drying and sortation to improve green beans and cup quality of Wamena coffee

Drying and sortation are the most important steps to improve green coffee beans and cup quality. However, farmers very often neglect these steps. Therefore, a simple technique and soft approach are required to encourage farmers to implement drying and sortation technology. The study aim is to assess suitable drying and sortation technology to improve green coffee beans and cup quality to local culture in Jayawijaya Regency, Papua. The study was conducted using 2 factors; a. Combination of drying floor using a tarp and without sortation (DFWTS), b. Combination of drying tables and with sortation (DTWS). Drying tables were designed as two separate parts. The first part was the permanent tables, and the second part was removable boxes in dimension 80 x 80 cm located on top of the permanent tables. Descriptive analysis was conducted based on SNI 01-2907-2008 by the Indonesian Coffee and Cocoa Research Institute. The results show DTWS produce green coffee beans in compliance with SNI 01-2907-2008 at 4a grade, compared to DFWTS is rejected. Green coffee beans quality is likely to affect cup quality. DTWS obtain cup quality score 83.0 compare to DFWTS is 81.25. In conclusion, DTWS improve green coffee beans and cup quality.

Effect of Drying Methods on Cup Quality of Selected Cultivars of Arabica Coffee (&amp;lt;i&amp;gt;Coffea arabica L&amp;lt;/i&amp;gt;.) Grown in South West, Ethiopia

Coffee Arabica is an essential commodity to the livelihood of millions of Ethiopians and its quality had critical importance to the coffee industry. A study was conducted to evaluate coffee quality attributes of nine newly released coffee cultivars subjected to open sun (direct sun light) and lath house-drying methods. The experiment was designed in complete randomized design factorial with two factors (cultivars and drying methods). Coffee cultivars were (Gawe, Dessu, 744, 7440, 74148, Gesha, Merdacheriko, Wushwush and Catimor J-19) prepared using wet (washed) processing method during harvesting of 2017/18 cropping season, which were collected from different altitude of south west, Ethiopia. Cup quality was evaluated by a team of certified panelists at Jimma agricultural research center coffee processing and quality analysis laboratory. The highest value in most cup quality attributes were record in cultivars of Gesha and 74148. Similarly, cultivars of 744 and 7440 were highest in all cup quality parameters. Net lath house drying method was better in all cup quality attributes. Effect of drying method was significant difference (P<0.05) on cup quality parameters such as aromatic quality, astringency, bitterness, body and flavor. The interaction effect of cultivar and drying method shown significant difference (P<0.05) on cup quality parameter except aromatic intensity. In the future to improve and maintain coffee quality different drying method should be practiced.

Assessment of the Effectiveness of Coffee De-mucilager and Driers for Physical and Sensorial Coffee Quality

Coffee Arabica is an essential commodity to the livelihood of millions of Ethiopians and its quality has critical importance to the coffee industry. The objective of the present study was to evaluate the effect of newly introduced coffee post- harvest machineries and driers on coffee raw, cup and total quality as compared to the conventional processing methods. Different methods, such as normal fermentation (conventional) and drying in sun, normal fermentation and drying in artificial drier, normal fermentation dried in poly tunnel drier, demucilager pulped and dried in sun, demucilager pulped and dried in artificial drier and demucilager pulped dried in poly tunnel were used for coffee sample preparation. The experiment was conducted during the 2017/18 and 2018/19 cropping season at Limmu Kossa coffee plantation. Both raw and cup quality parameters were evaluated by a team of certified panelists at Jimma Agricultural Research Center (JARC) coffee processing and quality analysis laboratory and analyzed using completely Randomized Design (CRD). Physical coffee quality parameters such as Bean size, Bean shape and make, color and odor showed no statistically significant (P > 0.05) difference for all preparation methods. The highest values of cup quality parameters like Acidity (AC), astringency (AS), bitterness (BI), body (BO), flavor (FL) and overall quality (OAQ) were recorded for coffee samples prepared using demucilager pulper and dried in tunnel drier. Samples pulped by demucilager and dried in poly tunnel drier exhibited the highest values, 35.67, 47.50 and 83.17, for raw, cup and total quality, respectively. It seems important to further study the biochemical composion of samples prepared using in such new introduced demucilager and driers in the future.

Factors Affecting Coffee (&amp;lt;i&amp;gt;Coffea Arabica&amp;lt;/i&amp;gt; L.) Quality in Ethiopia: A Review

Coffee (<i>Coffea arabica L.)</i> is the most significant crop and is consumed all over the world. Twenty-five percent of Ethiopia's population is dependent on the coffee business. Coffee quality can be affected by a variety of factors, including genetic and environmental factors, as well as the level of care given from the field to the bloodletting. On those factors, various studies have been conducted. As a result, this review aims to find out the elements that influence coffee quality in Ethiopia, as well as the analysis gap in coffee quality. Cup quality is also a fancy attribute that is influenced by several elements such as genetics, ecology, cultivation, processing method systems, and storage conditions. One of the most important stages in the preparation of any agricultural product, including coffee, is storage. The quality of coffee is affected by post-harvest operations and the plant's structure. Every stakeholder, including farmers' awareness, has played a part in Ethiopia's intriguing coffee quality.

Coffee cell walls—composition, influence on cup quality and opportunities for coffee improvements

AbstractThe coffee beverage is the second most consumed drink worldwide after water. In coffee beans, cell wall storage polysaccharides (CWSPs) represent around 50 per cent of the seed dry mass, mainly consisting of galactomannans and arabinogalactans. These highly abundant structural components largely influence the organoleptic properties of the coffee beverage, mainly due to the complex changes they undergo during the roasting process. From a nutritional point of view, coffee CWSPs are soluble dietary fibers shown to provide numerous health benefits in reducing the risk of human diseases. Due to their influence on coffee quality and their health-promoting benefits, CWSPs have been attracting significant research attention. The importance of cell walls to the coffee industry is not restricted to beans used for beverage production, as several coffee by-products also present high concentrations of cell wall components. These by-products include cherry husks, cherry pulps, parchment skin, silver skin, and spent coffee grounds, which are currently used or have the potential to be utilized either as food ingredients or additives, or for the generation of downstream products such as enzymes, pharmaceuticals, and bioethanol. In addition to their functions during plant development, cell walls also play a role in the plant’s resistance to stresses. Here, we review several aspects of coffee cell walls, including chemical composition, biosynthesis, their function in coffee’s responses to stresses, and their influence on coffee quality. We also propose some potential cell wall–related biotechnological strategies envisaged for coffee improvements.

Factors related to coffee quality, based on the “Cup of Excellence” contest in Mexico

Coffee farming in Mexico is an activity of great economic, social, cultural, and environmental importance. One of the strategies for obtaining better prices is so-called "specialty coffees", whose quality is evaluated through the "cup of excellence" contest. The aim of this work was to identify if there are factors related to the quality of coffee, based on the data provided by this contest. Information was obtained for the period 2012 to 2019 (since the event was suspended in 2020), but given the heterogeneity in the data, exclusion, and inclusion criteria were applied, examining only the years 2017 to 2019. Descriptive analyses show that, in Mexico, the coffee producing states of Veracruz and Chiapas predominate the highest scores, possibly because they are regions with the highest presence of biodiversity, which favors the quality of the coffee. A simple linear regression model also noted that quantitative variables (altitude, temperature, and precipitation) do not affect cup quality. Finally, a square chi analysis showed that the factors that affect the score are the process and mixing of varieties, which establish differences in the sensory characteristics of coffee, observing dependence between the two. It is concluded that the latter influence the score, where the washing process is best suited for coffees with an extraordinary quality profile, as well as the use of one or three varieties (particularly Arabica type) and that environmental and site components do not have a decisive effect on coffee cup quality. Keywords: Coffea arabica; coffee quality; score “cup of excellence” contest.

The Characterization and Quality of 14 Accessions of Robusta Coffee

To produce superior varieties, gene sources of high diversity are needed. The study was intended to reveal the diversity of qualitative and quantitative characters and the quality of Robusta coffee germplasm. The study conducted at Pakuwon Experimental Garden, Sukabumi Indonesia, used 14 accessions of Robusta coffee grown by a single stem system. The observed characteristics were qualitative and quantitative characteristics, caffeine content, and cup quality. The data were analyzed descriptively and grouped by cluster analysis using the PBSTAT program. The results revealed variations in the angle of insertion of primary branches, stipule shape, immature leaf color, leaf shape, leaf apex shape, young shoot color, mature leaf color, ripe fruit color, and fruit shape. The number of bunches/branch is the characteristic of the highest variation coefficient. Eleven accessions had cupping scores between 80 and 86 with a caffeine content of 1.39 - 2.06%. The accession B4-17-1 had the lowest yield, but its final cupping test score was the highest. At the dissimilarity coefficient of 0.25, 14 accessions of Robusta coffee are divided into two large groups, while at the dissimilarity coefficient of 0.15 they consist of four groups.