Volumen 14, Número 1, Enero - Marzo, 2026, Páginas 104 al 120DOI: https://doi.org/10.37787/kfwbsx95 ARTÍCULO ORIGINALCalidad física, rendimiento y precio del café pergamino de Coffea arabica (Rubiaceae) según tipo de compra y distrito en JaénPhysical quality, yield, and price of Coffea arabica (Rubiaceae) parchment coffee according to purchase type and district in JaénFrans Fuentes 1*, y Gary García 2 RESUMENEl presente estudio tuvo como objetivo evaluar la relación entre variables físico-productivas y económicas del café pergamino de Coffea arabica en distritos productores de Cajamarca, Perú, y analizar su comportamiento según tipo de compra y procedencia. El problema de investigación consistió en determinar si existían diferencias entre grupos comerciales y geográficos, así como asociaciones entre variables de calidad física y valor económico. Se trabajó con una base de datos comercial depurada, organizada en una matriz de análisis que incluyó humedad, rendimiento, peso por lote, precio unitario y monto total. El procesamiento estadístico se realizó en Python mediante estadística descriptiva, análisis de varianza, prueba de Tukey, análisis de correlación y análisis de componentes principales. Los resultados mostraron que el monto total fue mayor en la compra en húmedo que en la compra en seco, aunque sin diferencias estadísticas significativas. La correlación más alta se registró entre peso por lote y monto total (r = 0.79). El PCA indicó que PC1 y PC2 representaron conjuntamente 60.60 % de la varianza total. Se concluye que el comportamiento comercial del café pergamino dependió principalmente de la interacción entre variables físico-productivas y económicas, bajo las condiciones evaluadas en la base de datos analizada del estudio.Palabras clave: Café pergamino, calidad física, rendimiento, productoresABSTRACTThis study aimed to evaluate the relationship between physical-productivity and economic variables of Coffea arabica parchment coffee in producing districts of Cajamarca, Perú, and to analyze its behavior according to purchase type and origin. The research problem focused on determining whether differences existed among commercial and geographic groups, as well as associations between physical quality variables and economic value. A cleaned commercial database was organized into an analytical matrix including moisture, yield, lot weight, unit price, and total amount. Statistical processing was performed in Python using descriptive statistics, analysis of variance, Tukey’s test, correlation analysis, and principal component analysis. The results showed that the total amount was higher in wet purchasing than in dry purchasing, although no statistically significant differences were found. The highest correlation was observed between lot weight and total amount (r = 0.79). PCA indicated that PC1 and PC2 jointly represented 60.60% of the total variance. It is concluded that the commercial behavior of parchment coffee depended mainly on the interaction between physical-productivity and economic variables under the evaluated conditions of the analyzed study database herein.Keywords: parchment coffee, physical quality, yield, producing.* Autor para correspondencia__________________________________Universidad Nacional de Jaén-1, Perú. Email: ingfrans@unj.edu.pe, gary.garcia@unj.edu.peINTRODUCCIÓNEl café es uno de los cultivos más relevantes del sector agrario peruano por su contribución económica, social y territorial. Además de su importancia en la agroexportación, constituye una fuente esencial de empleo e ingresos para miles de familias rurales vinculadas a la producción, acopio, transformación y comercialización del grano. En el Perú, la caficultura se concentra principalmente en zonas de ceja de selva y montaña, donde cumple un papel estratégico en la dinamización de economías locales y en la articulación de sistemas productivos y mercados rurales ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"T8E5lBJI","properties":{"unsorted":false,"formattedCitation":"(ICO, 2023; MIDAGRI, 2022)","plainCitation":"(ICO, 2023; MIDAGRI, 2022)","noteIndex":0},"citationItems":[{"id":656,"uris":["http://zotero.org/users/8164076/items/UVZ4GRG3"],"itemData":{"id":656,"type":"post-weblog","language":"es","title":"International Coffee Organization","URL":"https://ico.org/","author":[{"family":"ICO","given":""}],"accessed":{"date-parts":[["2026",3,11]]},"issued":{"date-parts":[["2023"]]}}},{"id":658,"uris":["http://zotero.org/users/8164076/items/NHEE8PDZ"],"itemData":{"id":658,"type":"article-journal","abstract":"Brinda un recuento de acontecimientos mundiales sobre la producción, consumo, precios y comercio mundial del café. En el ámbito nacional, analiza las tendencias y el panorama del cultivo del café.","language":"es","license":"info:eu-repo/semantics/openAccess","note":"Accepted: 2022-08-02T00:44:41Z","publisher":"Ministerio de Desarrollo Agrario y Riego","source":"repositorio.midagri.gob.pe","title":"Observatorio de commodities Café","URL":"http://repositorio.midagri.gob.pe:80/jspui/handle/20.500.13036/1291","author":[{"family":"MIDAGRI","given":""}],"accessed":{"date-parts":[["2026",3,11]]},"issued":{"date-parts":[["2022",7]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (ICO, 2023; MIDAGRI, 2022). En este contexto, Cajamarca destaca como una de las principales regiones cafetaleras del norte peruano, con condiciones agroecológicas favorables para el cultivo de Coffea arabica (Rubiaceae). En provincias como Jaén y San Ignacio, la combinación de altitud, precipitación, temperatura y manejo agronómico ha favorecido la producción de cafés con características diferenciadas y potencial de inserción en mercados de mayor valor. Las condiciones de montaña, en particular, promueven una maduración más lenta del fruto, con efectos positivos sobre atributos asociados a la calidad del café ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"VPefOqY8","properties":{"unsorted":false,"formattedCitation":"(DaMatta et\\uc0\\u160{}al., 2007; Tolessa et\\uc0\\u160{}al., 2017)","plainCitation":"(DaMatta et al., 2007; Tolessa et al., 2017)","noteIndex":0},"citationItems":[{"id":660,"uris":["http://zotero.org/users/8164076/items/BWFCF5RK"],"itemData":{"id":660,"type":"article-journal","abstract":"After oil, coffee is the most valuable traded commodity worldwide. In this review we highlighted some aspects of coffee growth and development in addition to focusing our attention on recent advances on the (eco)physiology of production in both Coffea arabica and C. canephora, which together account for 99% of the world coffee bean production. This review is organized into sections dealing with (i) climatic factors and environmental requirements, (ii) root and shoot growth, (iii) blossoming synchronisation, fruiting and cup quality, (iv) competition between vegetative and reproductive growth and branch die-back, (v) photosynthesis and crop yield, (vi) physiological components of crop yield, (vii) shading and agroforestry systems, and (viii) high-density plantings.","container-title":"Brazilian Journal of Plant Physiology","DOI":"https://doi.org/10.1590/S1677-04202007000400014","ISSN":"1677-9452","journalAbbreviation":"Braz. J. Plant Physiol.","language":"en","page":"485-510","publisher":"Brazilian Journal of Plant Physiology","source":"SciELO","title":"Ecophysiology of coffee growth and production","volume":"19","author":[{"family":"DaMatta","given":"Fábio M."},{"family":"Ronchi","given":"Cláudio P."},{"family":"Maestri","given":"Moacyr"},{"family":"Barros","given":"Raimundo S."}],"issued":{"date-parts":[["2007"]]}}},{"id":662,"uris":["http://zotero.org/users/8164076/items/WD5VKLE8"],"itemData":{"id":662,"type":"article-journal","abstract":"BACKGROUND Coffee quality is a key characteristic for the international market, comprising cup quality and chemical bean constituents. In Ethiopia, using total specialty cup scores, coffees are grouped into Q1 (specialty 1) ≥ 85 and Q2 (80–84.75). This classification results in market segmentation and higher prices. Although different studies have evaluated the effects of altitude and shade on bean quality, optimum shade levels along different altitudinal ranges are not clearly indicated. Information on effects of harvest periods on coffee quality is also scanty. The present study examined the influences of these factors and their interactions on Ethiopian coffee quality RESULTS Coffee from high altitude with open or medium shade and early to middle harvest periods had a superior bean quality. These growing conditions also favoured the production of beans with lower caffeine. An increasing altitude, from mid to high, at approximately 400 m, decreased caffeine content by 10%. At high altitude, dense shade decreased Q1 coffee by 50%. Compared to late harvesting, early harvesting increased the percentage from 27% to 73%. At mid altitude, > 80% is Q2 coffee. CONCLUSIONS Changes of quality scores driven by altitude, shade and harvest period are small, although they may induce dramatic switches in the fraction Q1 versus Q2 coffee. The latter affects both farmers' profits and competitiveness in international markets. © 2016 Society of Chemical Industry","container-title":"Journal of the Science of Food and Agriculture","DOI":"10.1002/jsfa.8114","ISSN":"1097-0010","issue":"9","language":"en","license":"© 2016 Society of Chemical Industry","note":"_eprint: https://scijournals.onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.8114","page":"2849-2857","source":"Wiley Online Library","title":"Influence of growing altitude, shade and harvest period on quality and biochemical composition of Ethiopian specialty coffee","volume":"97","author":[{"family":"Tolessa","given":"Kassaye"},{"family":"D'heer","given":"Jolien"},{"family":"Duchateau","given":"Luc"},{"family":"Boeckx","given":"Pascal"}],"issued":{"date-parts":[["2017"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (DaMatta et al., 2007; Tolessa et al., 2017). La calidad del café depende de factores que interactúan a lo largo de toda la cadena productiva, entre ellos la genética, la altitud, el sombreado, la fertilización, la madurez del fruto y las prácticas de beneficio, secado y almacenamiento. En el café pergamino, variables como la humedad, el rendimiento y el peso del lote constituyen indicadores clave de su condición comercial y de su potencial de valorización. La humedad influye en la conservación y estabilidad del grano; el rendimiento permite estimar la proporción aprovechable del café luego del proceso de descascarado; y el peso del lote expresa la escala de comercialización, con efectos directos en la negociación y en los ingresos del productor o de la organización cafetalera ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"9KcRieNR","properties":{"unsorted":false,"formattedCitation":"(Isquierdo et\\uc0\\u160{}al., 2013; Phitakwinai et\\uc0\\u160{}al., 2019)","plainCitation":"(Isquierdo et al., 2013; Phitakwinai et al., 2019)","noteIndex":0},"citationItems":[{"id":668,"uris":["http://zotero.org/users/8164076/items/7EI36LVM"],"itemData":{"id":668,"type":"article-journal","abstract":"The effects of three dry bulb temperatures (35°C, 40°C, and 45°C) and three dew point temperatures (2.6°C, 10.8°C, and 16.2°C) of the drying air on the drying kinetics and sensory quality of natural coffee were evaluated. It was observed that the quality of the coffee beverage depends on the characteristics of the drying air, especially the interaction between the dry bulb temperature values and the dew point. When drying at a dry bulb temperature of 35°C, the beverage quality decreased as the dew point temperature decreased, which represents an increase in the drying rate. However, when drying at a dry bulb temperature of 45°C, the quality of the beverage was reduced both at 2.6°C and 16.2°C dew point temperature. Increasing the dry bulb temperature and decreasing the dew point temperature increased the effective diffusivity coefficient and drying rate and reduced the drying time. Seven mathematical models were fitted to the experimental data to characterize the thin-layer drying of coffee fruits. The modified Midilli and successive residues (with two terms) models were found to best describe the drying process. © 2013 American Society of Agricultural and Biological Engineers.","DOI":"10.13031/trans.56.9794","ISSN":"2151-0032","language":"eng","publisher":"Amer Soc Agricultural & Biological Engineers","source":"repositorio.unesp.br","title":"Drying kinetics and quality of natural coffee","URL":"http://hdl.handle.net/11449/243655","author":[{"family":"Isquierdo","given":"E. P."},{"family":"Borem","given":"F. M."},{"family":"Andrade","given":"E. T.","dropping-particle":"de"},{"family":"Correa","given":"J. L. G."},{"family":"Oliveira","given":"P. D. de [UNESP"},{"family":"Alves","given":"G. E."}],"accessed":{"date-parts":[["2026",3,11]]},"issued":{"date-parts":[["2013"]]}}},{"id":670,"uris":["http://zotero.org/users/8164076/items/TGWKVQDR"],"itemData":{"id":670,"type":"article-journal","abstract":"Abstract\n \n This paper presents thin‐layer drying of parchment coffee (\n Coffea arabica\n ). Thin‐layer drying of parchment coffee was conducted under controlled temperatures (50°C, 60°C, and 70°C) and relative humidities (10%–30%). The temperature of the drying air was important for drying at a high temperature, which results in the rapid removal of moisture and reduced time for drying. Nine thin‐layer drying models (Newton, Page, Henderson and Pabis, logarithmic, two‐term, modified Henderson and Pabis, two‐term exponential, approximation diffusion, and modified‐Midilli) were fitted to the experimental data for parchment coffee. The drying parameters of parchment coffee were related to temperature and relative humidity. The best model was the modified‐Midilli model, which can be used to design the optimal dryer. The effective moisture diffusivity of parchment coffee drying was determined by minimizing the sum of squares of the deviations between the experimental data for the moisture content and the predicted values of thin‐layer drying. The effective moisture diffusivity as a function of the temperature at each relative humidity was expressed by the Arrhenius‐type equation.","container-title":"Food Science & Nutrition","DOI":"10.1002/fsn3.1144","ISSN":"2048-7177, 2048-7177","issue":"9","journalAbbreviation":"Food Science & Nutrition","language":"en","page":"2921-2931","source":"Semantic Scholar","title":"Thin‐layer drying of parchment <i>Arabica coffee</i> by controlling temperature and relative humidity","volume":"7","author":[{"family":"Phitakwinai","given":"Sutida"},{"family":"Thepa","given":"Sirichai"},{"family":"Nilnont","given":"Wanich"}],"issued":{"date-parts":[["2019",9]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Isquierdo et al., 2013; Phitakwinai et al., 2019). A esta dimensión físico-productiva se suma la dimensión económica. El precio unitario y el monto total de venta no solo expresan el valor monetario de la transacción, sino también el grado de articulación del café con mercados convencionales o diferenciados. Actualmente, la cadena de valor del café se orienta hacia esquemas basados en calidad, trazabilidad y sostenibilidad. En particular, los mercados de café de especialidad premian atributos de calidad con mejores precios, mientras que las certificaciones y los mecanismos de trazabilidad fortalecen el posicionamiento comercial, aunque sus beneficios no siempre se distribuyen de manera homogénea entre los actores de la cadena ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"c80Z7YjB","properties":{"unsorted":false,"formattedCitation":"(De Felice et\\uc0\\u160{}al., 2025; Jacobi et\\uc0\\u160{}al., 2024; Jones et\\uc0\\u160{}al., 2024)","plainCitation":"(De Felice et al., 2025; Jacobi et al., 2024; Jones et al., 2024)","noteIndex":0},"citationItems":[{"id":678,"uris":["http://zotero.org/users/8164076/items/Z56MYQ4G"],"itemData":{"id":678,"type":"article-journal","abstract":"The global coffee supply chain is undergoing significant sustainability transformations, driven by increasing environmental, social, and technological pressures. This study conducts a systematic literature review (SLR), guided by PRISMA criteria and complemented by a VOSviewer-based bibliometric analysis, to explore how sustainability is conceptualized and operationalized across the coffee value chain. Drawing from 137 peer-reviewed publications (2000–2024), the review addresses four interrelated research questions: (i) the roles and interactions of key stakeholders, (ii) cross-sectoral opportunities for coffee residue reuse, (iii) the influence of consumer preferences on market dynamics, and (iv) the adoption of digital technologies such as IoT, blockchain, and AI for transparency and traceability. Findings reveal that while sustainability discourse is expanding, the literature remains fragmented across environmental, socio-economic, and technological domains. The review identifies emerging clusters around agroecological practices, circular economy models, and digital traceability, emphasizing the need for integrated, multi-stakeholder strategies with priority research areas identified in agriculture, transportation, cosmetics, energy, and packaging. Limitations such as database coverage, potential selection biases, data variability and geographic representation are acknowledged. Future studies are encouraged to innovate and expand sustainable coffee practices to catalyze meaningful change. It also recognizes challenges like cost and scalability in implementing sustainable solutions, underscoring the need for continued research and multi-stakeholder collaboration to address these barriers effectively. The study concludes with actionable insights for researchers, practitioners, and policymakers to advance a cohesive and data-driven approach to sustainability in the global coffee sector.","container-title":"Sustainable Futures","DOI":"10.1016/j.sftr.2025.101105","ISSN":"2666-1888","journalAbbreviation":"Sustainable Futures","page":"101105","source":"ScienceDirect","title":"Decoding the coffee supply chain: A systematic review of stakeholders, sustainability opportunities, and challenges","title-short":"Decoding the coffee supply chain","volume":"10","author":[{"family":"De Felice","given":"Fabio"},{"family":"Rehman","given":"Mizna"},{"family":"Petrillo","given":"Antonella"},{"family":"Baffo","given":"Ilaria"}],"issued":{"date-parts":[["2025",12,1]]}}},{"id":674,"uris":["http://zotero.org/users/8164076/items/526N85TP"],"itemData":{"id":674,"type":"article-journal","abstract":"Coffee provides a livelihood to millions of smallholder farmers, but comes with serious challenges as incomes are often meagre and the climate crisis threatens most coffeegrowing areas. Specialty coffee markets reward quality, which can increase farm-gate prices, and may enhance shaded and diversified coffee-farming systems. In origin countries such as Colombia and Bolivia, specialty coffee is typically exported, whereas lower-quality coffee is marketed for domestic consumption. Local demand for specialty coffee is growing, however, and coffee-cherry products are increasingly traded and consumed. This bears potential for retaining more value in origin countries and among farmers. However, how farming families can better profit from specialty coffee and its by-products, such as dried coffee cherries (also known as cascara or sultana), remains poorly understood. We applied a value-chain analysis combined with institutional analysis and the Participatory Market-Chain Approach (PMCA) to investigate the impact of specialty coffee and coffee-cherry products on farming families’ livelihoods in Colombia and Bolivia. We embedded the research in an institutional analysis and development framework to identify actors and value chains, costs and benefits for farmers, and livelihoods. Then, we adopted an action research approach to bring the different actors together and co-create value-chain improvements for green coffee, roasted coffee, and coffee cherries. Our approach included: (1) interviews, surveys, participant observation, and document analysis; and (2) events, videos, courses, competitions, and a recipe collection for coffee-cherries. We found that direct sale of green coffee to international customers, and sale of roasted coffee in local markets or in farmer-owned coffee shops were the most beneficial value-chain models for coffeegrowing families. The action research approach generated tangible results in terms of product development, value-chain organization, and educational organization. Government and private-sector support should consider the functioning of the entire sector and the social-ecological outcomes from production to consumption.","container-title":"World Development Perspectives","DOI":"10.1016/j.wdp.2023.100551","ISSN":"2452-2929","journalAbbreviation":"World Development Perspectives","page":"100551","source":"ScienceDirect","title":"Making specialty coffee and coffee-cherry value chains work for family farmers’ livelihoods: A participatory action research approach","title-short":"Making specialty coffee and coffee-cherry value chains work for family farmers’ livelihoods","volume":"33","author":[{"family":"Jacobi","given":"Johanna"},{"family":"Lara","given":"Derly"},{"family":"Opitz","given":"Sebastian"},{"family":"Castelberg","given":"Sabine","non-dropping-particle":"de"},{"family":"Urioste","given":"Sergio"},{"family":"Irazoque","given":"Alvaro"},{"family":"Castro","given":"Daniel"},{"family":"Wildisen","given":"Elio"},{"family":"Gutierrez","given":"Nelson"},{"family":"Yeretzian","given":"Chahan"}],"issued":{"date-parts":[["2024",3,1]]}}},{"id":676,"uris":["http://zotero.org/users/8164076/items/K63CREBE"],"itemData":{"id":676,"type":"article-journal","abstract":"Coffee production faces major sustainability issues and consumers increasingly look to choose certified coffee as awareness grows. While consumers’ understanding of sustainability issues is limited, independent voluntary certification schemes such as Fairtrade, Rainforest Alliance, and certified organic—three high-profile schemes—can play a role in future-proofing coffee production through standard-setting. These schemes can also inform consumers about sustainability issues from economic, environmental, and social perspectives, thus driving up demand for sustainably grown coffee, and supporting an enabling environment for farmers and coffee-producing countries to improve the status quo. Sustainably grown coffee ensures that farmers sustain production while protecting the environment and the income that farmers rely on to maintain their livelihood. Based on a thematic analysis and synthesis of previous studies, this paper examines the social, economic, and environmental effects of voluntary certification schemes for coffee production. It evaluates the current state of coffee production and explores how certification schemes can be effective in encouraging more sustainable practices among producers. Three major voluntary certification schemes are evaluated to identify the impacts on producers, including key barriers and enablers to comply with sustainability standards and to determine how fit-for-purpose certification schemes are in assuring future sustainable coffee production.","container-title":"Sustainability","DOI":"10.3390/su16135669","ISSN":"2071-1050","issue":"13","language":"en","license":"http://creativecommons.org/licenses/by/3.0/","page":"5669","publisher":"Multidisciplinary Digital Publishing Institute","source":"www.mdpi.com","title":"Assessing the Impact of Voluntary Certification Schemes on Future Sustainable Coffee Production","volume":"16","author":[{"family":"Jones","given":"Katharine"},{"family":"Njeru","given":"Ezekiel Mugendi"},{"family":"Garnett","given":"Kenisha"},{"family":"Girkin","given":"Nicholas"}],"issued":{"date-parts":[["2024",1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (De Felice et al., 2025; Jacobi et al., 2024; Jones et al., 2024). En América Latina, y especialmente en el Perú, la caficultura enfrenta presiones derivadas de la variabilidad climática, el incremento de temperaturas, la mayor incidencia de plagas y enfermedades, así como restricciones de financiamiento, asistencia técnica, infraestructura y articulación institucional. En el nororiente peruano, estudios recientes muestran que la vulnerabilidad del sector depende no solo del cultivo, sino también de la capacidad adaptativa de cooperativas, asociaciones y otros actores que facilitan el acceso a recursos, servicios y mercados estratégicos ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"DsiBEBU9","properties":{"unsorted":false,"formattedCitation":"(Campos Trigoso et\\uc0\\u160{}al., 2025; Morales-Reyes et\\uc0\\u160{}al., 2024)","plainCitation":"(Campos Trigoso et al., 2025; Morales-Reyes et al., 2024)","noteIndex":0},"citationItems":[{"id":685,"uris":["http://zotero.org/users/8164076/items/8B6BBRR4"],"itemData":{"id":685,"type":"article-journal","abstract":"Smallholder coffee producers in the Amazonas Region, Peru, face increasing climate variability, yet evidence on their sensitivity and adaptive capacity remains limited. This study quantifies both dimensions for organised producers (associations and cooperatives) using a large cross-sectional survey (N = 5473). Composite indices were constructed via polychoric principal component analysis (PCA): items were harmonised to a common direction, standardised (z-scores), and rescaled to 0–1. Average Sensitivity and Adaptive Capacity were intermediate (0.49 and 0.47), indicating moderate overall vulnerability. Group comparisons reveal statistically significant heterogeneity across producer characteristics and territories. Cooperative members exhibit higher Adaptive Capacity than association members (0.50 vs. 0.43), consistent with stronger organisational services and networks; differences in Sensitivity are modest and vary across dimensions. Additional variation is observed by gender, farming experience, and province (Bagua, Luya, Rodríguez de Mendoza, Utcubamba). Post hoc tests (Tukey) indicate where pairwise differences concentrate. The findings prioritise organisational strengthening, targeted financial and technical support, and territorially tailored interventions to enhance resilience. These results inform regional adaptation policies and cooperative-strengthening programmes to improve the climate robustness of smallholder coffee systems in the Amazonas region, Peru.","container-title":"Sustainability","DOI":"10.3390/su172310666","ISSN":"2071-1050","issue":"23","language":"en","license":"http://creativecommons.org/licenses/by/3.0/","page":"10666","publisher":"Multidisciplinary Digital Publishing Institute","source":"www.mdpi.com","title":"Sensitivity and Adaptive Capacity to Climate Change in Organised Coffee Growers in Amazonas, Peru","volume":"17","author":[{"family":"Campos Trigoso","given":"Jonathan Alberto"},{"family":"Rituay","given":"Pablo"},{"family":"Aldea","given":"Carlos"},{"family":"Bustos Chavez","given":"Meliza del Pilar"},{"family":"García","given":"Ligia"},{"family":"Ramos-Sandoval","given":"Rosmery"}],"issued":{"date-parts":[["2025",1]]}}},{"id":681,"uris":["http://zotero.org/users/8164076/items/IRDZQFR5"],"itemData":{"id":681,"type":"article-journal","abstract":"When it comes to specialty or high-quality coffees, sensory qualities are crucial because coffee marketers use samples to assess bean and cup quality, which is then used to create a score based on the Specialty Coffee Association (SCA) protocol. This score is then used to determine the purchase and price. This study provides a descriptive analysis of the processes developed during training for high-quality coffee production with three shade-grown organic coffee-producing organizations in the state of Chiapas. The goal was to improve harvest and post-harvest practices in order to increase the sensory quality of the coffee. Each training session used the washed, natural, and honey methods to process the coffee. Statistically significant differences were found in the different types of post-harvest processing for each organization. In the sensory analyses, washed coffees were classified as excellent (between 85 and 86 points). In general, the coffees obtained scored between 80 and 86 points, which, according to the SCA protocol, are classified as very good to excellent. The washed processes obtained the highest score; however, the natural and honey processes are a good alternative for producers who lack water during harvesting. Selective harvesting and monitoring of the fermentation processes help to increase the sensory quality of the coffee, improving its opportunity to access specialty markets in order to obtain better prices and greater stability in the medium term.","container-title":"Agrociencia","DOI":"10.47163/agrociencia.v58i5.2880","ISSN":"2521-9766","language":"es","page":"1-14","source":"agrociencia-colpos.org","title":"POST-HARVEST PRACTICES FOR THE PRODUCTION OF SPECIALTY COFFEES IN CHIAPAS, MEXICO","author":[{"family":"Morales-Reyes","given":"Etztli Itzel"},{"family":"Bolaños-González","given":"Martín Alejandro"},{"family":"Escamilla-Prado","given":"Esteban"},{"family":"Libert-Amico","given":"Antoine"}],"issued":{"date-parts":[["2024",7,4]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Campos Trigoso et al., 2025; Morales-Reyes et al., 2024). A ello se añade la heterogeneidad territorial y organizativa de la caficultura, así como el efecto del manejo poscosecha y de las modalidades de procesamiento sobre la calidad, la clasificación y la comercialización del café, lo que justifica análisis comparativos según tipo de compra ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"B1tdipuJ","properties":{"unsorted":false,"formattedCitation":"(Freitas et\\uc0\\u160{}al., 2024; Morales-Reyes et\\uc0\\u160{}al., 2024; Santos-Rivera et\\uc0\\u160{}al., 2025)","plainCitation":"(Freitas et al., 2024; Morales-Reyes et al., 2024; Santos-Rivera et al., 2025)","noteIndex":0},"citationItems":[{"id":687,"uris":["http://zotero.org/users/8164076/items/NH9VT8QA"],"itemData":{"id":687,"type":"article-journal","abstract":"Context\nCoffee is a culture of great economic importance on the global stage. In the international market, the term \"specialty coffee\" describes a beverage of exceptional quality, distinguished by its unique flavors and characteristics. This superior quality becomes a key factor in accessing markets where consumers are willing to pay an added value for the product. Numerous factors, from cultivation to consumer preferences, play an essential role in determining the final quality of coffee. Understanding of these factors is essential for effectively managing coffee processing and beneficiation procedures. The review unveiled innovative findings that underscore the crucial influence of specific environmental variables on coffee quality, opening new perspectives enhance further the production and flavor of this highly valued crop. Additionally, the research addressed health-related aspects, providing insights into the potential benefits and impacts of coffee consumption on human health, expanding the understanding of this widely cherished beverage globally and individually.\nScope and approach\nThis comprehensive review explores various aspects of the coffee post-harvest process, encompassing its production, consumption, and the factors influencing its quality. Special emphasis will be given to the entire quality process involving coffee, with a discussion based on the available scientific literature.\nKey findings and conclusions\nThe quality of coffee beans is deeply influenced by various factors, including harvesting methods, geographical location, climate, and genetic characteristics. Additionally, post-harvest processing plays a crucial role, significantly impacting coffee's chemical composition and sensory attributes. The intrinsic complexity of coffee, composed of caffeine, chlorogenic acids, sugars, lipids, amino acids, minerals, and vitamins, makes it essential to understand these interconnected elements. Consumption of coffee offers a variety of health benefits when consumed in moderation. Studies indicate that coffee contains antioxidants that can help combat diseases such as type 2 diabetes, Parkinson's, and Alzheimer's. Additionally, the caffeine in coffee can improve alertness, concentration, and even athletic performance when consumed appropriately. Coffee can also promote sociability, providing a meeting point and a pause in the daily routine for many people worldwide. The review innovatively addresses the interaction of these factors, highlighting the influence of harvesting and processing on coffee quality. The complexity involved in production is emphasized, underscoring the importance of considering all stages, from cultivation to processing. This holistic approach aims to optimize coffee production, maximizing the value of its distinct characteristics. The focus is on the rich chemical composition of coffee, emphasizing the presence of individual components and the synergistic interaction between them. This interconnection is crucial for understanding how different production stages can influence the formation of unique sensory attributes in coffee. Furthermore, the review highlights the importance of sensory quality and the potential health benefits associated with coffee consumption. This comprehensive approach underscores how a deep understanding of these elements can guide the production of high-quality coffee. Consolidating this knowledge can serve as a foundation for developing of harmonized production procedures. This, in turn, not only elevates the quality of produced coffee but also contributes to creating prosperous market, where consumers can fully appreciate and value this beloved beverage's inherent nuances and benefits.","container-title":"Trends in Food Science & Technology","DOI":"10.1016/j.tifs.2024.104411","ISSN":"0924-2244","journalAbbreviation":"Trends in Food Science & Technology","page":"104411","source":"ScienceDirect","title":"Coffee: A comprehensive overview of origin, market, and the quality process","title-short":"Coffee","volume":"146","author":[{"family":"Freitas","given":"Valdeir Viana"},{"family":"Borges","given":"Larissa Lorrane Rodrigues"},{"family":"Vidigal","given":"Márcia Cristina Teixeira Ribeiro"},{"family":"Santos","given":"Marcelo Henrique","non-dropping-particle":"dos"},{"family":"Stringheta","given":"Paulo Cesar"}],"issued":{"date-parts":[["2024",4,1]]}}},{"id":681,"uris":["http://zotero.org/users/8164076/items/IRDZQFR5"],"itemData":{"id":681,"type":"article-journal","abstract":"When it comes to specialty or high-quality coffees, sensory qualities are crucial because coffee marketers use samples to assess bean and cup quality, which is then used to create a score based on the Specialty Coffee Association (SCA) protocol. This score is then used to determine the purchase and price. This study provides a descriptive analysis of the processes developed during training for high-quality coffee production with three shade-grown organic coffee-producing organizations in the state of Chiapas. The goal was to improve harvest and post-harvest practices in order to increase the sensory quality of the coffee. Each training session used the washed, natural, and honey methods to process the coffee. Statistically significant differences were found in the different types of post-harvest processing for each organization. In the sensory analyses, washed coffees were classified as excellent (between 85 and 86 points). In general, the coffees obtained scored between 80 and 86 points, which, according to the SCA protocol, are classified as very good to excellent. The washed processes obtained the highest score; however, the natural and honey processes are a good alternative for producers who lack water during harvesting. Selective harvesting and monitoring of the fermentation processes help to increase the sensory quality of the coffee, improving its opportunity to access specialty markets in order to obtain better prices and greater stability in the medium term.","container-title":"Agrociencia","DOI":"10.47163/agrociencia.v58i5.2880","ISSN":"2521-9766","language":"es","page":"1-14","source":"agrociencia-colpos.org","title":"POST-HARVEST PRACTICES FOR THE PRODUCTION OF SPECIALTY COFFEES IN CHIAPAS, MEXICO","author":[{"family":"Morales-Reyes","given":"Etztli Itzel"},{"family":"Bolaños-González","given":"Martín Alejandro"},{"family":"Escamilla-Prado","given":"Esteban"},{"family":"Libert-Amico","given":"Antoine"}],"issued":{"date-parts":[["2024",7,4]]}}},{"id":689,"uris":["http://zotero.org/users/8164076/items/MZVLKY9X"],"itemData":{"id":689,"type":"article-journal","abstract":"Post-harvest processing (PHP) is a key determinant of coffee quality, flavor profile, and market classification, yet verifying PHP claims remains a significant challenge in the specialty coffee industry. This study introduces near-infrared spectroscopy (NIRS) coupled with chemometrics as a rapid, non-destructive approach to classify green coffee beans based on PHP. For the first time, seven distinct PHP categories—Alchemy, Anaerobic Processing (Deep Fermentation), Dry-Hulled, Honey, Natural, Washed, and Wet-Hulled—were discriminated using NIRS, encompassing 20 different processing protocols under varying environmental and fermentation conditions. The NIR spectra (350–2500 nm) of 524 green Arabica coffee samples were analyzed using PCA-LDA models (750–2450 nm), achieving classification accuracies up to 100% for underrepresented categories and strong performance (91–95%) for dominant PHP groups in an independent test set. These results demonstrate that NIRS can detect subtle chemical signatures associated with diverse PHP techniques, offering a scalable tool for quality assurance, fraud prevention, and traceability in global coffee supply chains. While limited sample sizes for some PHP categories may influence model generalization, this study lays the foundation for future work involving broader datasets and integration with digital traceability systems. The approach has direct implications for producers, traders, and certifying bodies seeking reliable, real-time PHP verification.","container-title":"Spectroscopy Journal","DOI":"10.3390/spectroscj3020020","ISSN":"2813-446X","issue":"2","language":"en","license":"http://creativecommons.org/licenses/by/3.0/","page":"20","publisher":"Multidisciplinary Digital Publishing Institute","source":"www.mdpi.com","title":"Enhancing Coffee Quality and Traceability: Chemometric Modeling for Post-Harvest Processing Classification Using Near-Infrared Spectroscopy","title-short":"Enhancing Coffee Quality and Traceability","volume":"3","author":[{"family":"Santos-Rivera","given":"Mariana"},{"family":"Viswanathan","given":"Lakshmanan"},{"family":"Sheibani","given":"Faris"}],"issued":{"date-parts":[["2025",6]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Freitas et al., 2024; Morales-Reyes et al., 2024; Santos-Rivera et al., 2025). Asimismo, el uso de herramientas multivariadas, como el análisis de componentes principales, ha demostrado utilidad para identificar variables explicativas y sintetizar patrones de diferenciación en sistemas cafetaleros complejos ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"MYWO90WV","properties":{"unsorted":false,"formattedCitation":"(de Melo et\\uc0\\u160{}al., 2025)","plainCitation":"(de Melo et al., 2025)","noteIndex":0},"citationItems":[{"id":693,"uris":["http://zotero.org/users/8164076/items/64ZDLNUA"],"itemData":{"id":693,"type":"article-journal","abstract":"This study aimed to evaluate the performance of the main Arabica and Conilon coffee-producing regions in Brazil in the 2018–2019 and 2020–2021 harvest years, through the triangulation of the principal component analysis (PCA) and data envelopment analysis (DEA) techniques. To this end, the study followed a qualitative–quantitative approach, with descriptive character and inductive logic. The timeframe for this was 12 months to complete all methodological stages. Regarding efficiencies, six inefficient producers were identified for 2018–2019 and nine for 2020–2021. The results showed, in the 2018–2019 biennium, that production effectiveness is related to reductions in labor hiring and the creation of mechanisms to increase income on inefficient properties. On the other hand, in the 2020–2021 biennium, the intensive use of organic fertilizer and government credit were the most impactful aspects on the efficiency of properties. The contributions of this study were related to the identification of inefficient producers and, above all, the variables that most impact the performance of these sampling units so that they can reestablish their efficiencies. This study allowed for the generation of sustainable indicators to measure producers’ performance. For the agenda of future studies, it is suggested to replicate this study for other cultures and to expand the sample set.","container-title":"Sustainability","DOI":"10.3390/su172310688","ISSN":"2071-1050","issue":"23","language":"en","license":"http://creativecommons.org/licenses/by/3.0/","page":"10688","publisher":"Multidisciplinary Digital Publishing Institute","source":"www.mdpi.com","title":"Performance Analysis of the Main Coffee-Producing Regions in Brazil: A Methodological Triangulation Based on Principal Component Analysis and Data Envelopment Analysis","title-short":"Performance Analysis of the Main Coffee-Producing Regions in Brazil","volume":"17","author":[{"family":"Melo","given":"Gustavo Alves","non-dropping-particle":"de"},{"family":"Castro Júnior","given":"Luiz Gonzaga","non-dropping-particle":"de"},{"family":"Peixoto","given":"Maria Gabriela Mendonça"},{"family":"Barbosa","given":"Samuel Borges"},{"family":"Costa","given":"Jaqueline Severino","non-dropping-particle":"da"},{"family":"Mendonça","given":"Maria Cristina Angélico"},{"family":"Serrano","given":"André Luiz Marques"},{"family":"Ferreira","given":"Lucas Oliveira Gomes"},{"family":"Gonçaves","given":"Marcelo Carneiro"}],"issued":{"date-parts":[["2025",1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (de Melo et al., 2025).Sin embargo, persiste una brecha de conocimiento en estudios regionales que integren simultáneamente variables físico productivas y económicas del café pergamino bajo condiciones reales de comercialización. En particular, no se ha establecido con suficiente claridad si dichas variables difieren según tipo de compra y distrito, ni cuáles explican en mayor medida la variabilidad observada en las transacciones comerciales. Esta limitación reduce la disponibilidad de evidencia útil para optimizar los procesos de clasificación, valorización y toma de decisiones en la cadena cafetalera regional.En consecuencia, el problema de investigación consiste en determinar si existen diferencias en la calidad física, el rendimiento y las variables económicas del café pergamino de Coffea arabica según tipo de compra y distrito en Cajamarca, Perú, así como identificar los factores que explican la variabilidad comercial observada. La importancia del estudio radica en su aporte potencial al fortalecimiento de los procesos de evaluación, clasificación y comercialización del café pergamino en territorios productores. Como hipótesis general, se plantea que existen diferencias significativas en las variables físico productivas y económicas del café pergamino según tipo de compra y distrito, y que la interacción entre dichas variables explica la variabilidad observada en las transacciones comerciales.MATERIALES Y MÉTODOS Diseño de investigación y enfoqueEl estudio se desarrolló bajo un enfoque cuantitativo, con diseño no experimental, de tipo observacional, retrospectivo y transversal. La investigación tuvo un alcance descriptivo, comparativo y correlacional, debido a que se analizaron registros de transacciones comerciales de café pergamino sin manipulación de las variables de estudio. El propósito fue evaluar la relación entre variables físico-productivas y económicas del café pergamino, así como identificar diferencias según tipo de compra y distrito de procedencia ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"E9x0LejV","properties":{"unsorted":false,"formattedCitation":"(Setia, 2016)","plainCitation":"(Setia, 2016)","noteIndex":0},"citationItems":[{"id":695,"uris":["http://zotero.org/users/8164076/items/8F4VXYSH"],"itemData":{"id":695,"type":"article-journal","abstract":"Cross-sectional study design is a type of observational study design. In a cross-sectional study, the investigator measures the outcome and the exposures in the study participants at the same time. Unlike in case–control studies (participants selected based on the outcome status) or cohort studies (participants selected based on the exposure status), the participants in a cross-sectional study are just selected based on the inclusion and exclusion criteria set for the study. Once the participants have been selected for the study, the investigator follows the study to assess the exposure and the outcomes. Cross-sectional designs are used for population-based surveys and to assess the prevalence of diseases in clinic-based samples. These studies can usually be conducted relatively faster and are inexpensive. They may be conducted either before planning a cohort study or a baseline in a cohort study. These types of designs will give us information about the prevalence of outcomes or exposures; this information will be useful for designing the cohort study. However, since this is a 1-time measurement of exposure and outcome, it is difficult to derive causal relationships from cross-sectional analysis. We can estimate the prevalence of disease in cross-sectional studies. Furthermore, we will also be able to estimate the odds ratios to study the association between exposure and the outcomes in this design.","container-title":"Indian Journal of Dermatology","DOI":"10.4103/0019-5154.182410","ISSN":"0019-5154","issue":"3","journalAbbreviation":"Indian J Dermatol","page":"261-264","PMID":"27293245","PMCID":"PMC4885177","source":"PubMed Central","title":"Methodology Series Module 3: Cross-sectional Studies","title-short":"Methodology Series Module 3","volume":"61","author":[{"family":"Setia","given":"Maninder Singh"}],"issued":{"date-parts":[["2016"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Setia, 2016). Área de estudioEl estudio se realizó en distritos productores de café de la provincia de Jaén, departamento de Cajamarca, Perú. Esta zona se caracteriza por su importancia en la producción de Coffea arabica (Rubiaceae), bajo condiciones agroecológicas favorables para la caficultura, tales como altitudes intermedias y altas, clima tropical de montaña y sistemas de producción orientados tanto al mercado convencional como al mercado diferenciado.Población y muestraLa población es el conjunto total de unidades de interés y que la muestra es el subconjunto efectivamente analizado, en ese sentido la población estuvo conformada por los registros de transacciones comerciales de café pergamino procedentes de asociaciones y cooperativas cafetaleras de la zona de estudio. La muestra estuvo constituida por 3681 registros, seleccionados a partir de la disponibilidad y consistencia de la base de datos. La unidad de análisis correspondió a cada registro de transacción comercial de café pergamino ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"eCOKYJZ7","properties":{"unsorted":false,"formattedCitation":"(Whitley & Ball, 2002)","plainCitation":"(Whitley & Ball, 2002)","noteIndex":0},"citationItems":[{"id":699,"uris":["http://zotero.org/users/8164076/items/9AHIYSDW"],"itemData":{"id":699,"type":"article-journal","abstract":"The previous review in this series introduced the notion of data description and outlined some of the more common summary measures used to describe a dataset. However, a dataset is typically only of interest for the information it provides regarding the population from which it was drawn. The present review focuses on estimation of population values from a sample.","container-title":"Critical Care","DOI":"10.1186/cc1473","ISSN":"1364-8535","issue":"2","journalAbbreviation":"Crit Care","language":"en","page":"143","source":"Springer Link","title":"Statistics review 2: Samples and populations","title-short":"Statistics review 2","volume":"6","author":[{"family":"Whitley","given":"Elise"},{"family":"Ball","given":"Jonathan"}],"issued":{"date-parts":[["2002",2,7]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Whitley & Ball, 2002).MuestreoSe empleó un muestreo no probabilístico por conveniencia, entendido como un método basado en la accesibilidad y disponibilidad de la población de estudio. Esta estrategia fue pertinente, ya que la investigación se desarrolló a partir de una base de datos secundaria proporcionada por organizaciones cafetaleras que contaban con información técnica y comercial previamente registrada. ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"mUdu26DD","properties":{"unsorted":false,"formattedCitation":"(Setia, 2016)","plainCitation":"(Setia, 2016)","noteIndex":0},"citationItems":[{"id":695,"uris":["http://zotero.org/users/8164076/items/8F4VXYSH"],"itemData":{"id":695,"type":"article-journal","abstract":"Cross-sectional study design is a type of observational study design. In a cross-sectional study, the investigator measures the outcome and the exposures in the study participants at the same time. Unlike in case–control studies (participants selected based on the outcome status) or cohort studies (participants selected based on the exposure status), the participants in a cross-sectional study are just selected based on the inclusion and exclusion criteria set for the study. Once the participants have been selected for the study, the investigator follows the study to assess the exposure and the outcomes. Cross-sectional designs are used for population-based surveys and to assess the prevalence of diseases in clinic-based samples. These studies can usually be conducted relatively faster and are inexpensive. They may be conducted either before planning a cohort study or a baseline in a cohort study. These types of designs will give us information about the prevalence of outcomes or exposures; this information will be useful for designing the cohort study. However, since this is a 1-time measurement of exposure and outcome, it is difficult to derive causal relationships from cross-sectional analysis. We can estimate the prevalence of disease in cross-sectional studies. Furthermore, we will also be able to estimate the odds ratios to study the association between exposure and the outcomes in this design.","container-title":"Indian Journal of Dermatology","DOI":"10.4103/0019-5154.182410","ISSN":"0019-5154","issue":"3","journalAbbreviation":"Indian J Dermatol","page":"261-264","PMID":"27293245","PMCID":"PMC4885177","source":"PubMed Central","title":"Methodology Series Module 3: Cross-sectional Studies","title-short":"Methodology Series Module 3","volume":"61","author":[{"family":"Setia","given":"Maninder Singh"}],"issued":{"date-parts":[["2016"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Setia, 2016).ProcedimientoEl estudio se ejecutó en tres fases metodológicas. En la primera, se recopiló la base de datos comercial del café pergamino y se realizó su depuración mediante la identificación y eliminación de registros incompletos, duplicados e inconsistentes. Además, se estandarizaron las categorías de las variables cualitativas, especialmente las relacionadas con el tipo de compra y la procedencia geográfica, con el fin de asegurar uniformidad en la codificación y confiabilidad en el procesamiento posterior. En la segunda fase, se construyó la matriz de datos para el análisis estadístico, integrando variables físico-productivas y económicas, entre ellas humedad, rendimiento, peso por lote, precio unitario y monto total. Los valores de humedad fueron obtenidos mediante un equipo medidor de humedad, mientras que el rendimiento se calculó con base en la relación entre el peso del café pergamino y el peso del café obtenido, siguiendo los procedimientos de control de calidad empleados por las organizaciones cafetaleras. En la tercera fase, se efectuó el análisis estadístico mediante Python, empleando librerías especializadas para manipulación, análisis y visualización de datos. Inicialmente, se aplicó estadística descriptiva para caracterizar las variables a través de la media, desviación estándar, valores mínimos y máximos. Posteriormente, se realizó un análisis de varianza (ANOVA) para evaluar diferencias significativas entre distritos y tipos de compra, y cuando estas se identificaron, se aplicó la prueba de comparaciones múltiples de Tukey con un nivel de significancia de α = 0.05. Adicionalmente, se desarrolló un análisis de componentes principales (PCA) para explorar la estructura multivariada de los datos y sintetizar la variabilidad conjunta de las variables físico-productivas y económicas. Previamente, las variables cuantitativas fueron estandarizadas mediante el método z-score para eliminar el efecto de las diferencias de escala y garantizar su comparabilidad. Finalmente, los resultados se presentaron mediante tablas y figuras estadísticas, incluyendo diagramas de cajas, mapas de calor de correlaciones y biplots del PCA.Figura SEQ Figura \* ARABIC 1Diagrama de procesos de la investigación.Fuente: Elaboración propiaRESULTADOSEn esta sección se presentan los resultados del análisis descriptivo, comparativo y multivariado de las variables físico-productivas y económicas del café pergamino de Coffea arabica (Rubiaceae), según tipo de compra y distrito de procedencia. En primer lugar, se muestran los estadísticos descriptivos y las diferencias entre categorías evaluadas; posteriormente, se presentan los resultados del análisis de componentes principales, con el fin de sintetizar la variabilidad conjunta de las variables estudiadas.Estadística descriptiva de las variables evaluadas.Tabla SEQ Tabla \* ARABIC 1 Medias, desviación estándar y grupos de Tukey de la variable MONTO según tipo de compra del café pergamino.FactorCategoríaVariableMedia ± DEGrupo TukeyTipo de compraHúmedoMONTO5351.63 ± 13791.30aTipo de compraSecoMONTO4490.15 ± 11855.08aFuente: Elaboración propia Tabla SEQ Tabla \* ARABIC 2Medias, desviación estándar y grupos de Tukey de las variables R y H según distrito del café pergamino en Cajamarca.FactorCategoría(distrito)VariableMedia ± DEGrupo TukeyDistritoOcaylliR61.00 ± 0.00aDistritoLa CopiaR66.92 ± 5.25aDistritoColasayR70.77 ± 4.76aDistritoOrtigaR69.50 ± 2.12aDistritoSan José del AltoH13.00 ± 1.00aDistritoHuabalH14.80 ± 3.02aDistritoCutervoH15.05 ± 2.59a En la Tabla 1 se presentan las medias, desviación estándar y los grupos de Tukey para la variable económica MONTO según tipo de compra del café pergamino. Descriptivamente, el tipo de compra húmedo registró un mayor valor promedio (5351.63 ± 13791.30) en comparación con el tipo seco (4490.15 ± 11855.08). Sin embargo, ambos tratamientos fueron clasificados dentro del mismo grupo de Tukey (a), lo que indica que no se detectaron diferencias estadísticamente significativas entre los tipos de compra evaluados.En la Tabla 2 se muestran las medias, desviación estándar y los grupos de Tukey para las variables R y H según distrito del café pergamino en Cajamarca. Para la variable R, los promedios observados fueron 61.00 ± 0.00 en Ocaylli, 66.92 ± 5.25 en La Copia, 70.77 ± 4.76 en Colasay y 69.50 ± 2.12 en Ortiga. En todos los casos, los distritos fueron asignados al mismo grupo de Tukey (a), evidenciando ausencia de diferencias significativas entre ellos. De manera similar, para la variable H, los promedios fueron 13.00 ± 1.00 en San José del Alto, 14.80 ± 3.02 en Huabal y 15.05 ± 2.59 en Cutervo; asimismo, todos pertenecieron al mismo grupo de Tukey (a), por lo que tampoco se encontraron diferencias significativas entre distritos para esta variable.En conjunto, los resultados muestran que, aunque existen variaciones numéricas en los valores promedio de MONTO, R y H, dichas diferencias no alcanzaron significancia estadística de acuerdo con la prueba de Tukey. Análisis de componentes principales (PCA).Tabla SEQ Tabla \* ARABIC 3Autovalores y porcentaje de varianza explicada por los componentes principales ComponenteAutovalorVarianza (%)Varianza acumulada (%)PC11.0821.6321.63PC21.0120.2241.85PC30.9919.9461.79PC40.9819.6681.45PC50.9318.54100.00Nota: Los dos primeros componentes explican el 41.85 % de la varianza total.Fuente: Elaboración propia La Tabla 3 presenta los autovalores y el porcentaje de varianza explicada por los componentes principales obtenidos a partir de las variables evaluadas. El PC1 explicó el 21.63 % de la varianza total, mientras que el PC2 explicó el 20.22 %. En conjunto, los dos primeros componentes acumularon el 41.85 % de la varianza total. Asimismo, el PC3, PC4 y PC5 explicaron el 19.94 %, 19.66 % y 18.54 %, respectivamente.Tabla SEQ Tabla \* ARABIC 4Cargas factoriales de las variables en los componentes principales VariablePC1PC2PC3PC4PC5Humedad (H)0.33-0.520.290.700.21Rendimiento (R)-0.63-0.29-0.010.29-0.66Peso lote (PESOKG)-0.32-0.420.64-0.500.25Precio unitario (PRECIOUPROD)-0.010.650.690.26-0.18Monto total (MONTO)-0.630.21-0.170.330.65Nota: Se resaltan cargas factoriales ≥ |0.40|.Fuente: Elaboración propia La Tabla 4 indica que las mayores cargas factoriales en el PC1 correspondieron a R (-0.63) y MONTO (-0.63); en el PC2, a PRECIOUPROD (0.65) y H (-0.52); en el PC3, a PRECIOUPROD (0.69) y PESOKG (0.64); en el PC4, a H (0.70) y PESOKG (-0.50); y en el PC5, a MONTO (0.65) y R (-0.66). Estos resultados indican que la estructura multivariada de los datos quedó representada, en los dos primeros componentes, por una dimensión vinculada principalmente con rendimiento y monto total, y una segunda dimensión asociada con precio unitario, humedad y peso por lote. Representación gráfica del PCA Figura SEQ Figura \* ARABIC 2Biplot del análisis de componentes principales (PCA) de las variables evaluadas en café pergamino.Fuente: Elaboración propia La figura 2 muestra los resultados donde el PC1 y el PC2 representaron el 36.09 % y 24.51 % de la varianza total, respectivamente. Las variables MONTO y PESOKG se asociaron principalmente con el PC1, mientras que PRECIOUPROD y R lo hicieron con el PC2. En contraste, H presentó una proyección en sentido opuesto sobre este último componente. La mayor dispersión de las observaciones se registró a lo largo del PC1.Figura SEQ Figura \* ARABIC 3Biplot del análisis de componentes principales (PCA) de las variables físico-productivas y económicas según distrito del café pergamino en CajamarcaFuente: Elaboración propia La figura 3 muestra la distribución de las observaciones según distrito en el plano definido por los dos primeros componentes principales. El componente 1 representó el 36.09 % de la varianza total y el componente 2 el 24.51 %. Las variables Monto Total y Peso por lote (PESOKG) se orientaron principalmente sobre el componente 1, mientras que Precio Unitario y Rendimiento lo hicieron sobre el componente 2. En sentido opuesto, Humedad presentó una proyección negativa sobre este plano. En la distribución de los puntos se observó una mayor dispersión a lo largo del componente 1, con agrupamientos diferenciados entre distritos y algunos valores alejados del centro de la nube de datos.Mapa de calor de correlaciones entre variables.Tabla SEQ Tabla \* ARABIC 5Matriz de correlación entre las variables físico-productivas y económicas del café pergamino. VariableHumedadRendimientoPESOKGPrecio UnitarioMonto TotalHumedad1.000.02-0.00-0.060.05Rendimiento0.021.00-0.070.22-0.05PESOKG-0.00-0.071.00-0.020.79Precio Unitario-0.060.22-0.021.000.11Monto Total0.05-0.050.790.111.00La Tabla 5 presenta la matriz de correlación entre las variables físico-productivas y económicas evaluadas en el café pergamino. La relación positiva de mayor magnitud se observó entre PESOKG y Monto Total (r = 0.79), indicando que, a mayores valores de peso por lote, mayores fueron los valores de monto total. En contraste, las demás correlaciones fueron bajas o cercanas a cero. Figura SEQ Figura \* ARABIC 4Mapa de calor de las correlaciones entre las variables físico-productivas y económicas del café pergamino.Fuente: Elaboración propia La Figura 4 presenta la matriz de correlación entre las variables físico-productivas y económicas evaluadas. La correlación positiva de mayor magnitud se registró entre PESOKG y Monto Total (r = 0.79). Por otro lado, las demás asociaciones fueron débiles, con valores próximos a cero, sobresaliendo únicamente la relación positiva baja entre Rendimiento y Precio Unitario (r = 0.22).Gráfico de cajas y bigotes (boxplot).Figura SEQ Figura \* ARABIC 5Comparación del rendimiento (%) según tipo de compra y del precio unitario (S/ por kg) según distrito del café pergamino Fuente: Elaboración propia La figura 5 presenta, en el panel izquierdo, la distribución del rendimiento (%) según tipo de compra, y en el panel derecho, la distribución del precio unitario (S/ por kg) según distrito. En el caso del rendimiento, los tipos de compra húmedo y seco mostraron distribuciones relativamente similares, aunque fueron asignados a grupos distintos en la prueba de Tukey (b para húmedo y a para seco). DISCUSIÓNLos resultados obtenidos evidencian que, en términos descriptivos, el café pergamino adquirido en condición húmeda presentó un mayor monto promedio que el adquirido en seco; sin embargo, esta diferencia no alcanzó significancia estadística en la prueba de Tukey. Del mismo modo, las variables rendimiento y humedad no mostraron diferencias significativas entre los distritos evaluados, pese a la existencia de variaciones numéricas entre medias. En conjunto, estos hallazgos sugieren que, para la base de datos analizada, la variabilidad interna de las transacciones fue suficientemente alta como para atenuar la diferenciación estadística entre categorías, particularmente en las variables comerciales. Este patrón es coherente con la naturaleza heterogénea de los sistemas cafetaleros, donde los resultados comerciales no dependen de un único factor, sino de la interacción entre calidad física, volumen comercializado, prácticas poscosecha y condiciones territoriales. La ausencia de diferencias significativas en humedad y rendimiento entre distritos no implica necesariamente homogeneidad productiva absoluta, sino que puede reflejar que los rangos observados responden a sistemas de manejo relativamente convergentes o a mecanismos de control de calidad similares entre organizaciones cafetaleras. En este sentido, DaMatta et al. (2007) y Tolessa et al. (2017) señalan que la calidad y el comportamiento fisiológico del café están influenciados por factores agroecológicos como altitud, temperatura y condiciones de crecimiento, aunque su expresión final también depende del manejo agronómico y del procesamiento poscosecha. Por ello, aunque los distritos analizados pertenecen a una zona cafetalera con heterogeneidad territorial, es posible que las prácticas de acopio y clasificación hayan reducido parte de esa variabilidad en los registros comerciales. En relación con el tipo de compra, la diferencia observada en la distribución del rendimiento según el boxplot sugiere que la modalidad de adquisición puede estar asociada con cambios en la estabilidad física del lote. Este resultado guarda relación con lo reportado por Morales-Reyes et al. (2024) y Freitas et al. (2024), quienes sostienen que las prácticas poscosecha y las modalidades de acondicionamiento del café influyen en la clasificación comercial, en la conservación de la calidad y en el valor final del producto. En la misma línea, Santos-Rivera et al. (2025) destacan que los procesos poscosecha afectan la trazabilidad y la diferenciación comercial del café, por lo que la distinción entre compra en húmedo y compra en seco constituye una dimensión pertinente para interpretar el comportamiento de las variables evaluadas. La matriz de correlación mostró que la asociación más alta se presentó entre peso por lote y monto total, lo que indica que el volumen comercializado constituye el principal determinante inmediato del valor monetario de la transacción. Esta relación era esperable desde el punto de vista comercial, ya que un mayor peso vendido incrementa directamente el monto total, aun cuando el precio unitario no varíe en la misma proporción. En contraste, las demás correlaciones fueron bajas, incluyendo la relación entre rendimiento y precio unitario. Este resultado sugiere que, en la base analizada, la valorización económica del café pergamino no depende exclusivamente de la calidad física medida por rendimiento o humedad, sino también de factores de mercado, escala del lote y condiciones de negociación. Tal interpretación coincide con De Felice et al. (2025), Jacobi et al. (2024) y Jones et al. (2024), quienes sostienen que la formación del valor en la cadena del café depende simultáneamente de calidad, trazabilidad, diferenciación comercial y articulación con mercados especializados. El análisis de componentes principales permitió profundizar en la estructura conjunta de los datos. Aunque los dos primeros componentes de la tabla de autovalores acumularon 41.85 % de la varianza total, la representación gráfica del PCA mostró que el plano PC1–PC2 concentró la mayor diferenciación visual entre observaciones, con una estructura donde el monto total y el peso por lote se orientaron principalmente sobre el primer componente, mientras que el precio unitario y el rendimiento lo hicieron sobre el segundo, y la humedad se proyectó en sentido opuesto. Este patrón revela que la variabilidad del sistema comercial del café pergamino se organiza alrededor de dos dimensiones principales: una asociada al tamaño económico de la transacción y otra vinculada con atributos de calidad física y valorización unitaria. La utilidad del PCA para sintetizar este tipo de relaciones multivariadas ha sido destacada por de Melo et al. (2025), quienes señalan que esta herramienta permite identificar variables con mayor capacidad explicativa y diferenciar sistemas productivos complejos. En términos aplicados, los resultados indican que el comportamiento comercial del café pergamino no puede interpretarse únicamente a partir de promedios por distrito o por tipo de compra, sino desde una perspectiva integrada que considere simultáneamente la calidad física, el peso del lote y la valorización económica. Esto resulta particularmente relevante en territorios cafetaleros como Cajamarca, donde la competitividad depende no solo de la producción, sino también de la capacidad de las organizaciones para clasificar, estandarizar y orientar sus decisiones de compra según las condiciones territoriales y comerciales. CONCLUSIONESEl monto total del café pergamino fue descriptivamente mayor en la compra en húmedo que en la compra en seco; sin embargo, esta diferencia no alcanzó significancia estadística en la prueba de Tukey. Las variables rendimiento y humedad no presentaron diferencias significativas entre los distritos evaluados, a pesar de las variaciones numéricas observadas en sus medias. La correlación de mayor magnitud se registró entre el peso por lote y el monto total, lo que evidencia que el volumen comercializado fue el factor más estrechamente asociado al valor económico de la transacción. El análisis de componentes principales mostró que la estructura multivariada del conjunto de datos estuvo determinada principalmente por una dimensión asociada con monto total y peso por lote, y por otra vinculada con precio unitario, rendimiento y humedad.En conjunto, los resultados indican que la variabilidad del café pergamino en la base analizada respondió a la interacción entre variables físico-productivas y económicas, más que a diferencias estadísticas marcadas entre distritos o tipos de compra.REFERENCIAS BIBLIOGRÁFICAS ADDIN ZOTERO_BIBL {"uncited":[],"omitted":[],"custom":[]} CSL_BIBLIOGRAPHY Campos Trigoso, J. A., Rituay, P., Aldea, C., Bustos Chavez, M. del P., García, L., & Ramos-Sandoval, R. (2025). Sensitivity and Adaptive Capacity to Climate Change in Organised Coffee Growers in Amazonas, Peru. Sustainability, 17(23), 10666. https://doi.org/10.3390/su172310666DaMatta, F. M., Ronchi, C. P., Maestri, M., & Barros, R. S. (2007). 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Critical Care, 6(2), 143. https://doi.org/10.1186/cc1473-389414839900Calidad física, rendimiento y precio del café pergamino de Coffea arabica (Rubiaceae) 190514287500Fuentes y GarcíaPAGE \* MERGEFORMAT2PAGE \* MERGEFORMAT2Recibido: 12/03/2026Aceptado: 27/03/2026https://revistas.unj.edu.pe/index.php/pakamuros 104iVBORw0KGgoAAAANSUhEUgAAAgsAAABPCAYAAABlCYadAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAIdUAACHVAQSctJ0AACP9SURBVHhe7Z13vJTVmcdjYtRYEltimpoYV5OY vtndfLKuSTab3U/KFjcNDaIBxUas2KJItxCqiFIURBFBEFCUjjRpAgIiIEVBvKj03jGz88zcZ+7z nvmd8vYhe/74fuadp/yeM/fOnfvM+573nI985Pd3Fzwej8fj8Xi0QKPH4/F4PB4PA40ej8fj8Xg8 DDR6PB6Px+PxMNDo8Xg8Ho/Hw0Cjx+PxeDweDwONnlT561//WgWK83g8Ho+nJoBGT6r4ZsHj8RyJ /LrL086fXzPfXBvwqTm/evDJim/yktUB3/Y9+6ry+Dnbnp+3LGBDcC7x8htvQTvB9n6T50F759Ez oF1FF7Np5+6Kfem7GwI+Qs2ZteKdiq1R9yGB2NyARk+q8JtAguI8Ho+nluBmAflUZLPQov/oQN7+ g4cCz+n4n+5+tHR84uXtSs9Pv/K+io/Yd+BAIN7WLHzrtodKccc3aVP4xQMDS8fsY01G2i/t+Wzh 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Cálculo. Trascendentes tempranas2011MéxicoMcGraw-Hill/Interamericana Editores, S. A. de C. V. 4Lag98Book{FF546390-90D8-4AF5-8A74-3207AF24104F}LagesL.Curso de análise volumen 1 (6° ed.) 1998BrasilIMPA.5Lar10Book{65B725CE-91DA-4E06-8F83-85CE1CCCDF95}Larson, R. y Edwards, B.Cálculo 1 de una variable2010MéxicoMcGraw-Hill/Interamericana Editores, S. A de C. V6Flo16Book{78889FED-2418-4D92-8754-F9DED66976B2}Flores, J. y Ugarte, F. 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