Mapping the mountainous climate in the Matas de Minas region, Brazil which influences the top-quality coffee beverages

Authors

DOI:

https://doi.org/10.33448/rsd-v11i12.33776

Keywords:

Coffee sensory evaluation; Arabica coffee; Specialty coffee; Environmental characteristics; Climate impact; Coffee beverage quality.

Abstract

All the characteristics of the mountainous environment directly influence the coffee crops, and subsequently, on the final coffee note, that reflects the quality of the beverage produced in a region. Despite increasing coffee research, little is known about the influence of the water indices, factors, and the elements of climate on top-quality coffee production potential. Thus, the present study was carried out aiming to analyze the water indices, causes, and aspects of clime, to identify those that most contribute to the potential production of high-quality Arabica coffee beverages in a mountain environment. We considered harvesting the coffee fruits at the cherry stage in 26 municipalities in the Matas de Minas region in the Atlantic Forest Biome in the eastern state of Minas Gerais, and the International Cup of Excellence method was adopted for the sensory evaluation. The principal components analysis and the multiple linear regression (MLR) were used to relate the local environmental variables with the final grade of the coffee beverage. As a result, the Multiple Linear Regression model showed the value of 0.63 for R2. This result means that the joint variability of all the variables considered explained 63% of the changes in coffee beverage quality. And the altitude impact on the grade achieved for the coffee beverage produced in the Matas de Minas region, represented by β, was 0.008068, meaning that for every 100 meters of increase in the altitude, there is an approximate increment of 0.8 points in the final note achieved for the coffee beverage. Among all the environmental characteristics studied, the climatic factor altitude was the main contributor to the coffee top-quality production potential in the Matas de Minas region.

Author Biographies

José Luis dos Santos Rufino, Center of excellence of the cafes of the Matas de Minas region

Graduated in Agronomic Engineering from the Federal University of Viçosa (1974),
Master's in Rural Administration from the Federal University of Lavras (1977)
and PhD in Rural Economics from the Federal University of Viçosa (1993).
He has experience in Economics, with an emphasis on Agrarian Economics,
working mainly on the following topics: coffee economy, commercialization,
competitiveness, coffee agribusiness chains and regional development.

Humberto Paiva Fonseca, Federal University of Viçosa

Graduated in Geography (2018) and Master in Applied Meteorology (2021),
both from the Federal University of Viçosa (UFV).
He is currently a doctoral student at the Graduate Program in Applied Meteorology
at the same institution. He has experience in the areas of remote sensing, geoprocessing
and agricultural and environmental modeling.

Daniel Marçal de Queiroz, Federal University of Viçosa

Graduated in Agricultural Engineering from the State University of Campinas (1980),
Master in Agricultural Engineering from the Federal University of Viçosa (1984) and
PhD in Agricultural and Biological Engineering from Purdue University (1995).
He completed a Post-Doctorate at the University of Florida (2015-2016).
He is currently a professor at the Federal University of Viçosa. He was Coordinator
of the Graduate Program in Agricultural Engineering at UFV from 1996 to 1998
and from 2018 to 2021. He was President Director of Fundação Arthur Bernardes
from 2011 to 2014, President of the Brazilian Association of Agricultural
Engineering from 2009 to 2011 and Technical Director from the National Training
and Storage Center from 2001 to 2012. He was a member of the Agricultural
Engineering Advisory Committee of CNPq from 2007 to 2010 and from 2018 to 2021.
He was a member of the Chamber of Agricultural Sciences of FAPEMIG from 2002 to 2006.
He has experience in Agricultural Engineering, with an emphasis on Precision
Agriculture, Digital Agriculture, Agricultural Machinery Design and Mathematical
Drying Simulation.

Elpídio Inácio Fernandes Filho, Federal University of Viçosa

Graduated in agronomy from the Federal University of Viçosa (1986),
Master's in Agronomy (Soils and Plant Nutrition) from the Federal University of Viçosa (1989)
and PhD in Agronomy (Soils and Plant Nutrition) from the Federal University of Viçosa (1996).
He is currently a Professor at the Federal University of Viçosa. Has experience
in Agronomy, with emphasis on Pedometrics. Acting mainly on the following topics:
Expert systems, Agricultural fitness, Geographical information systems,
software development.

Marcelo de Freitas Ribeiro, Company of Agricultural Research of Minas Gerais State

Graduated in Agronomy from the Escola Superior de Agricultura e Ciências de Machado (1985),
Master’s in Phytotechnics (Vegetable Production) from the Federal University of Viçosa (1992)
and a PhD in Phytotechnics (Vegetable Production) from the Federal University of
Viçosa (2013). He is currently a researcher at the Minas Gerais Agricultural Research
Corporation and General Chief of Epamig Sudeste. Has experience in Agronomy, with emphasis
on Management and Cultural Treatments of the coffee crop, working mainly on the following
topics: pruning, soil cover, crop management, densification and seed technology.

Cecília de Fátima Souza Ferreira, Federal University of Viçosa

Graduated in Agricultural Engineering from UFLA, she has a master's degree in Agricultural
Engineering from UFV, in ​​Rural Constructions and Ambience, a PhD in Animal Science/Animal
Production, with a concentration in Management and Treatment of Agroindustrial Waste,
from UNESP in Jaboticabal and concluded in 2010 postgraduate studies. PhD in ​​Structures
for Waste Management and Treatment to mitigate greenhouse gas emissions, at the University
of Kentucky. She is currently accredited as a master's and doctoral advisor in the
graduate program in Agricultural Engineering at UFV, where she is an Associate Professor.
It focused its teaching and research work on the planning and design of the entire
infrastructure, referring to the facilities necessary for the production processes,
including those for handling and treating waste resulting from animal production.
Member of the American Society of Agricultural and Biological Engineers.
She was on maternity leave in 1995 and 1997.

References

Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Scientific data, 5, 170191. http://dx.doi.org/10.1038/sdata.2017.191

Ahmed, S., Brinkley, S., Smith, E., Sela, A., Theisen, M., Thibodeau, C., ... & Cash, S. B. (2021). Climate Change and Coffee Quality: Systematic Review on the Effects of Environmental and Management Variation on Secondary Metabolites and Sensory Attributes of Coffea arabica and Coffea canephora. Frontiers in plant science, 2120. https://doi.org/10.3389/fpls.2021.708013

Barra, G. M. J. (2020). The Coffee Quality Program in Brazil. In Coffee Consumption and Industry Strategies in Brazil (pp. 65-90). Woodhead Publishing. https://doi.org/10.1016/B978-0-12-814721-4.00013-5

BRAZIL SPECIALTY COFFEE ASSOCIATION - BSCA. Cafés especiais. 2021. Retrieved from https://bsca.com.br/region/list

Camargo, Â.P.D.; Camargo, M.B.P.D. (2001). Definition and layout of phenological phases of Arabica coffee in tropical conditions in Brazil. Bragantia, 60(1), 65-68. http://dx.doi.org/10.1590/S0006-87052001000100008

Conselho dos Exportadores de Café do Brasil - CECAFE. Relatório mensal outubro 2018. http://www.sapc.embrapa.br/arquivos/consorcio/informe_estatistico/CECAFE_Relatorio_Mensal_Outubro_2018.pdf

Fernandes, M. I. dos S., Assis, G. A. de, Nascimento, L. G. do, Cunha, B. A. da, Airão, A. L. C., & Gallet, D. da S. (2020). Parâmetros produtivos e de qualidade de cultivares de cafeeiros na região do Alto Paranaíba, Minas Gerais, Brasil. Research, Society and Development, 9(9), e147996681. https://doi.org/10.33448/rsd-v9i9.6681.

Ferreira, W. P., Queiroz, D. M., Silvac, S. A., Tomaz, R. S., & Corrêa, P. C. (2016). Effects of the orientation of the mountainside, altitude and varieties on the quality of the coffee beverage from the" Matas de Minas" region, brazilian Southeast. American Journal of Plant Sciences, 7, 1291-1303. http://dx.doi.org/10.4236/ajps.2016.78124

Ferreira, W. P., Ribeiro, M. D. F., Fernandes Filho, E. I., Souza, C. D. F., & Castro, C. C. R. D. (2012). As características térmicas das faces noruega e soalheira como fatores determinantes do clima para a cafeicultura de montanha. https://www.embrapa.br/busca-de-publicacoes/-/publicacao/963026/as-caracteristicas-termicas-das-faces-noruega-e-soalheira-como-fatores-determinantes-do-clima-para-a-cafeicultura-de-montanha

Ferreira, W.P., Ribeiro Júnior, J.I. & Souza, C. F. (2019). Climate change does not impact on Coffea arabica yield in Brazil. Journal of the Science of Food and Agriculture, 99(12), 5270-5282. https://doi.org/10.1002/jsfa.8465

Jolliffe, I. T. (1972). Discarding variables in a principal component analysis. I: Artificial data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 21(2), 160-173. https://doi.org/10.2307/2346488

Meireles, E. J. L., de CAMARGO, M. B. P., FAHI, J., Thomaziello, R. A., Pezzopane, J. R. M., NACIF, A. D. P., & Bardin, L. (2004). Fenologia do cafeeiro: condições agrometeorológicas e balanço hídrico-ano agrícola 2002-2003. Embrapa Café. Documentos 2. http://www.infoteca.cnptia.embrapa.br/bitstream/doc/885992/1/Fenologiadocafeeiro20022003.pdf

Moreira, R. V., Corrêa, J. L. G., Macedo, L. L., Araújo, C. da S., Vimercati, W. C., Souza, A. U. de, Petri Júnior, I., & Junqueira, J. R. de J. (2021). Qualidade sensorial do café em pergaminho submetido à secagem em diferentes temperaturas do ar e umidades relativas. Research, Society and Development, 10(10), e541101019351. https://doi.org/10.33448/rsd-v10i10.19351

Morrison, D. F. (Eds.) (1976). Multivariate statistical methods: McGraw-Hill series in probability and statistics. (2nd ed.). New York, NY: McGraw-Hill.

Nathan, R. J., & McMahon, T. A. (1990). Identification of homogeneous regions for the purposes of regionalisation. Journal of Hydrology, 121(1-4), 217-238. https://doi.org/10.1016/0022-1694(90)90233-N

Oliveira Aparecido, L. E., Rolim, G. D. S., Moraes, J. R. D. S. C. D., Valeriano, T. T. B., & Lense, G. H. E. (2018). Maturation periods for Coffea arabica cultivars and their implications for yield and quality in Brazil. Journal of the Science of Food and Agriculture, 98(10), 3880-3891. https://doi.org/10.1002/jsfa.8905

Ortolani, A. A., Cortez, J. G., Pedro, M. J., Camargo, M. B. P. D., Thomaziello, R. A., Alfonsi, R. R., & Sarraipa, L. A. D. S. (2000). Clima e qualidade natural de bebida do café arábica no Estado de São Paulo. Retrieved from http://www.sbicafe.ufv.br/handle/123456789/860

R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/

Silva, S. D. A., de Queiroz, D. M., Ferreira, W. P. M., Corrêa, P. C., & Rufino, J. L. D. S. (2016). Mapping the potential beverage quality of coffee produced in the Zona da Mata, Minas Gerais, Brazil. Journal of the Science of Food and Agriculture, 96(9), 3098-3108. https://doi.org/10.1002/jsfa.7485

Silveira, A. D. S., Pinheiro, A. C. T., Ferreira, W. P. M., Silva, L. J. D., Rufino, J. L. D. S., & Sakiyama, N. S. (2016). 'Sensory analysis of specialty coffee from different environmental conditions in the region of Matas de Minas, Minas Gerais, Brazil. Revista Ceres, 63(4), 436-443. https://doi.org/10.1590/0034-737X201663040002

Staub, C. (1995). Agtron/SCAA roast classification. Color disk system. Chicago: Specialty Coffee Association of America. https://scholar.google.com/scholar?q=AgtronSCAA%20roast%20classification.%20Color%20disk%20system

Zaidan, Ú. R., Corrêa, P. C., Ferreira, W. P. M., & Cecon, P. R. (2017). Ambiente e variedades influenciam a qualidade de cafés das Matas de Minas. Coffee Science, 12, 240-247. https://doi.org/10.25186/cs.v12i2.1256

Downloads

Published

13/09/2022

How to Cite

FERREIRA, W. P. M. .; RUFINO, J. L. dos S. .; FONSECA, H. P. .; QUEIROZ, D. M. de .; FERNANDES FILHO, E. I.; RIBEIRO, M. de F.; FERREIRA, C. de F. S. . Mapping the mountainous climate in the Matas de Minas region, Brazil which influences the top-quality coffee beverages. Research, Society and Development, [S. l.], v. 11, n. 12, p. e261111233776, 2022. DOI: 10.33448/rsd-v11i12.33776. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/33776. Acesso em: 16 nov. 2024.

Issue

Section

Agrarian and Biological Sciences