Abstract
Predicting and mapping productivity areas allows crop producers to improve their planning of agricultural activities. The primary aims of this work were the identification and mapping of specific management areas allowing coffee bean quality to be predicted from soil attributes and their relationships to relief. The study area was located in the Southeast of the Minas Gerais state, Brazil. A grid containing a total of 145 uniformly spaced nodes 50 m apart was established over an area of 31.7 ha from which samples were collected at depths of 0.00–0.20 m in order to determine physical and chemical attributes of the soil. These data were analysed in conjunction with plant attributes including production, proportion of beans retained by different sieves and drink quality. The results of principal component analysis (PCA) in combination with geostatistical data showed the attributes clay content and available iron to be the best choices for identifying four crop production environments. Environment A, which exhibited high clay and available iron contents, and low pH and base saturation, was that providing the highest yield (30.4l ha−1) and best coffee beverage quality (61 sacks ha−1). Based on the results, we believe that multivariate analysis, geostatistics and the soil–relief relationships contained in the digital elevation model (DEM) can be effectively used in combination for the hybrid mapping of areas of varying suitability for coffee production.
Similar content being viewed by others
References
Alves, M. C. A., Silva, F. M., Moraes, J. C., Pozza, E. A., Oliveira, M. S., Souza, J. C. S., et al. (2011). Geostatistical analysis of the spatial variation of the berry borer and leaf miner in a coffee agroecosystem. Precision Agriculture, 12(1), 18–31.
Assad, E. D., Pinto, H. S., Zullo, J, Jr., & Ávila, A. M. H. (2004). Impacto das mudanças climáticas no zoneamento agroclimático do café no Brasil. Pesquisa Agropecuária Brasileira, 39(11), 1057–1064.
Barbieri, D. M., Marques, J, Jr., Alleoni, L. R. F., Garbuio, F. J., & Camargo, L. A. (2009). Hillslope curvature, clay mineralogy, and phosphorus adsorption in an Alfisol cultivated with sugarcane. Scientia Agricola, 66(6), 819–826.
Bogaert, P., & D’or, D. (2002). Estimating soil properties from thematic soil maps, the bayesian maximum entropy approach. Soil Science Society of America Journal, 66(5), 1492–1500.
Brito, L. F., Marques, J, Jr., Pereira, G. T., & Souza, Z. M. (2009). Soil CO2 emission of sugarcane fields as affected by topography. Scientia Agricola, 66(1), 77–83.
Brunner, A. C., Park, S. J., Ruecker, G. R., Dikau, R., & Vlek, P. L. G. (2004). Catenary soil development influencing erosion susceptibility along a hillslope in Uganda. Catena, 58(1), 1–22.
Bundt, M., Kretzschmar, S., Zech, W., & Wilcke, W. (1997). Seasonal dynamics of nutrients in leaves and xylem sap of coffee plants as related to different soil compartments. Plant and Soil, 197(1), 157–166.
Camargo, L. A., Marques, J, Jr., Pereira, G. T., & Horvat, R. A. (2008). Variabilidade espacial de atributos mineralógicos de um Latossolo sob diferentes formas de relevo. I-Mineralogia da fração argila. Revista Brasileira de Ciência do Solo, 32(6), 2269–2277 (in Portuguese).
Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B., Karlen, D. L., Turco, R. F., et al. (1994). Field scale variability of soil properties in central Iowa soils. Soil Science Society of America Journal, 58(5), 1501–1511.
Caramori, P. H., Caviglione, J. H., Wrege, M. S., Gonçalves, S. L., Faria, R. T., Androcioli Filho, A., et al. (2001). Climatic risk zoning for coffee (Coffea arabica L.) in Paraná state, Brazil. Revista Brasileira de Agrometeorologia, 9(3), 486–494.
Carvalho, W, Jr., Schaefer, C. E. G. R., Chagas, C. S. Y., & Fernandes Filho, E. I. (2008). Análise multivariada de Argissolos da faixa atlântica brasileira. Revista Brasileira de Ciência do Solo, 32(1), 2081–2090 (in Portuguese).
Carvalho, L. G., Sediyama, G. C., Cecon, P. R., & Alves, H. M. R. (2004). Modelo de regressão para a previsão de produdividade de cafeeiros no Estado de Minas Gerais. Revista Brasileira de Engenharia Agrícola e Ambiental, 8(2–3), 204–211 (in Portuguese).
Cooley, W. W., & Lohnes, P. R. (1971). Multivariate data analysis. New York: Wiley.
Embrapa—Empresa Brasileira de Pesquisa Agropecuária. Centro Nacional de Pesquisa de Solos. (1999). Sistema Brasileiro de Classificação de Solos. Rio de Janeiro, p. 412 (i.e. in Portuguese).
Evangelista, A. W. P., Carvalho, L. G., & Sediyama, G. C. (2002). Zoneamento climático associado ao potencial produtivo da cultura do café no Estado de Minas Gerais. Revista Brasileira de Engenharia Agrícola e Ambiental, 6(3), 445–452 (in Portuguese).
Islam, K., Mcbratney, A., & Singh, B. (2005). Rapid estimation of soil variability from the convex hull biplot area of topsoil ultra-violet, visible and near-infrared diffuse reflectance spectra. Geoderma, 128(3–4), 249–257.
Johnson, R. A., & Wichern, D. W. (2002). Applied multivariate analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall.
Leão, M. G. A., Marques, J, Jr., Souza, Z. M., Siqueira, D. S., & Pereira, G. T. (2010). O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros. Revista Brasileira de Engenharia Agricola e Ambiental, 14(11), 1152–1159 (in Portuguese).
Legros, J. P. (2006). Mapping of the soil. Translated from French by Sarma, V. A. K. Enfield: New Hampshire. Science Publishers, 411p.
Martín, N. F., Bollero, G. A., & Bullock, D. G. (2005). Associations between field characteristics and soybean plant performance using canonical correlation analysis. Plant and Soil, 273(1–2), 39–55.
Maule, R. F., Mazza, J. A., & Martha, G. B., Jr. (2001). Productivity of sugarcane cultivars in different soils and harvesting periods. Scientia Agrícola, 58(2), 295–301 (i.e. in Portuguese).
McBratney, A. B., Odeh, I. O. A., Bishop, T. F. A., Dunbar, M. S., & Shatar, T. M. (2000). An overview of pedometric techniques for use in soil survey. Geoderma, 97(3–4), 293–327.
Mcbratney, A. B., & Webster, R. (1986). Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates. Soil Science Society of America Journal, 37(4), 617–639.
Montanari, R., Souza, G. S. A., Pereira, G. T., Marques, J, Jr., Siqueira, D. S., & Siqueira, G. M. (2012). The use of scaled semivariograms to plan soil sampling in sugarcane fields. Precision Agriculture, 13(5), 542–552.
Montgomery, D. R. (2003). Predicting landscape scale erosion rates using digital elevation models. Comptes Rendus Geoscience, 335(16), 1121–1130.
Nix, H. (1968). The assessment of biological productivity. In, Land Evaluation, Papers on a SCIRO Symposium G. A. Stewart, Ed., Macmillan of Australia, pp. 77–87.
Odeh, I. O. A., Chittleborough, D. J., & Mcbratney, A. B. (1991). Elucidation of soil–landform interrelationships by canonical ordination analysis. Geoderma, 49(1–2), 1–32.
Odlare, M., Svensson, K., & Pellb, M. (2005). Near infrared reflectance spectroscopy for assessment of spatial soil variation in an agricultural field. Geoderma, 126(3–4), 193–202.
Officer, S. J., Kravchenko, A., Bollero, G. A., Sudduth, K. A., Kitchen, N. R., Wiebold, W. J., et al. (2007). Caracterização geofísica do solo para uso em agricultura de precisão. Revista Brasileira de Geofisica, 25(3), 340.
Panosso, A. R., Marques, J, Jr., Pereira, G. T., Jr, & La Scala, N. (2009). Spatial and temporal variability of soil CO2 emission in a sugarcane area under green and slash-and-burn managements. Soil and Tillage Research, 105(2), 275–282.
Pennock, D. J. (2003). Terrain attributes, landform segmentation, and soil redistribution. Soil and Tillage Research, 69(1–2), 15–26.
Römheld, V., & Marschner, H. (1983). Mechanism of iron uptake by peanut plants. I. Fe(III) reduction, chelate splitting, and release of phenolics. Plant Physiology, 71(4), 949–954.
Sanchez, R. B., Marques, J, Jr., Pereira, G. T., & Souza, Z. M. (2005). Variabilidade espacial de propriedades de Latossolo e da produção de café em diferentes superfícies geomórficas. Revista Brasileira de Engenharia Agrícola e Ambiental, 9(4), 489–495 (in Portuguese).
Sanchez, R. B., Marques, J, Jr., Pereira, G. T., Souza, Z. M., & Martins Filho, M. V. (2009). Variabilidade espacial de atributos do solo e de fatores de erosão em diferentes pedoformas. Bragantia, 68(4), 873–884 (in Portuguese).
Schwertmann, U. (1991). Solubility and dissolution of iron oxides. Plant and Soil, 130(1–2), 1–25.
Silva, F. M., Menezes, Z., Pereira, C. A., Vieira, L. H., & Oliveira, E. (2008). Spatial variability of chemical attributes and coffee productivity in two harvests. Ciência Agrotecnica, 32, 231–241.
Siqueira, D. S., Marques, J, Jr., Matias, S. S. R., Barrón, V., Torrent, J., Baffa, O., et al. (2010a). Correlation of properties of Brazilian Haplustalfs with magnetic susceptibility measurements. Soil Use and Management, 26(4), 425–431.
Siqueira, D. S., Marques, J, Jr., & Pereira, G. T. (2010b). The use of landforms to predict the variability of soil and orange attributes. Geoderma, 155(1–2), 55–66.
Specialty Coffee Association of America. (2009). Cupping Protocols. http://www.coffeeinstitute.org/resources/scaa-standards-and-protocols. Accessed Oct 18 2012.
Uchimiya, M., & Stone, A. T. (2006). Redox reactions between iron and quinines: Thermodynamic constraints. Geochimica et Cosmochimica Acta, 70(6), 1388–1401.
Vieira, S. R., Hatfield, J. L., Nielsen, D. R., & Biggar, J. W. (1983). Geostatistical theory and application to variability of some agronomical properties. Hilgardia, 51(3), 1–75.
Vitharana, U. W. A., Van Meirvenne, M., Cockx, L., & Bourgeois, J. (2006). Identifying potential management zones in a layered soil using several sources of ancillary information. Soil Use and Management, 22(4), 405–413.
Weill, M. A. M., Arruda, F. B., Oliveira, J. B., Donzeli, P. L., & Van Raij, B. (1999). Avaliação de fatores edafoclimáticos e do manejo na produção de cafeeiros (Coffea arabica L.) no oeste Paulista. Revista Brasileira de Ciência do Solo, 23(4), 891–901 (in Portuguese).
Zhang, H., & Zhang, G. L. (2005). Landscape-scale soil quality change under different farming systems of a tropical farm in Hainan China. Soil Use and Management, 21(1), 58–64.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sanchez, M.G.B., Marques, J., Siqueira, D.S. et al. Delineation of specific management areas for coffee cultivation based on the soil–relief relationship and numerical classification. Precision Agric 14, 201–214 (2013). https://doi.org/10.1007/s11119-012-9288-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11119-012-9288-z