Nutritional diagnosis and spatial variability of leaf nutrients in teak field in the Eastern Amazon

References

• Alvarado, A. 2006. Nutrition and fertilization of teak. In Agronomic information, ed. J. Spinoza, 1–8. Canadá: INPOFOS.
   Google Scholar
• Alvarado, A. 2012. Nutrición y fetilización de Tectona grandis. In Nutrition and forest fertilization in tropical regions, ed. A. Alvarado and J. Raigosa, 317–44, 1st ed. San José, CR: Costa Rican Association of Science of Suelo.
   Google Scholar
• Alvarez, V. V. H., R. F. Novais, N. F. Barros, R. B. Cantarutti, and A. S. Lopes. 1999. Interpretation of soil analysis results. In Recommendations for the use of correctives and fertilizers in Minas Gerais: 5a approximation, ed. A. C. Ribeiro, P. T. G. Guimarães, and V. V. H. Alvarez, 25–32. Viçosa, MG: Soil Fertility Commission of the Minas Gerais State.
   Google Scholar
• Behling, M. 2009. Nutrition, biomass partitioning and growth of teak stands in Tangará da Serra-MT. 176 f. Thesis. Doctorate in Soil Science—Federal University of Viçosa, Viçosa, 2009.
   Google Scholar
• Brandão, A. D. S., L. S. F. Dionísio, P. R. S. Farias, G. Schwartz, and J. O. P. Carvalho. 2018. Spatial distribution pattern of Euxylophora paraensis Huber in a natural managed forest in the Eastern Amazon. Revista Brasileira de Ciências Agrárias – Brazilian Journal of Agricultural Sciences 13 (3):1–9. doi: https://doi.org/10.5039/agraria.v13i3a5545.
   Google Scholar
• Cambardella, C. A., T. B. Moorman, J. M. Novak, T. B. Parkin, D. L. Karlen, R. F. Turco, and A. E. Konopka. 1994. Field-scale variability of soil properties in Central Iowa Soils. Soil Science Society of America Journal 58 (5):1501–11. doi: https://doi.org/10.2136/sssaj1994.03615995005800050033x.
   Web of Science ®Google Scholar
• Dionisio, L. F. S., A. C. S. Lima, E. G. F. Morais, R. G. Correia, A. V. F. Santos, and C. K. S. Ximenes. 2015. Spatial distribution of Metamasius hemipterus (Coleoptera: Curculionidae) in oil palm plantation (Elaeis guineensis Jacq) in Roraima. Revista Agro@Mbiente on-LINE 9 (3):327–36. doi: https://doi.org/10.18227/1982-8470ragro.v9i3.2517.
   Google Scholar
• Downing, J. A. 1986. Spatial heterogeneity: Evolved behavior or mathematical artifact? Nature 323 (6085):255–7. doi: https://doi.org/10.1038/323255a0.
   Web of Science ®Google Scholar
• EMBRAPA. 2017. EMBRAPA—Empresa Brasileira de Pesquisa Agropecuária. Soil analysis methods manual, vol. 3. Brasília, DF: Embrapa.
   Google Scholar
• Fernández-Moya, J., A. Alvarado, A. S. Miguel-Ayanz, and M. Marchamalo-Sacristán. 2014. Forest nutrition and fertilization in teak (Tectona grandis L.f.) plantations in Central America. New Zealand Journal of Forestry Science 44 (Suppl 1):S6–S8. doi: https://doi.org/10.1186/1179-5395-44-S1-S6.
   Google Scholar
• Fernández-Moya, J., R. Murillo, E. Portuguez, J. L. Fallas, V. Rios, F. Kottman, J. M. Verjans, R. Mata, and A. Alvarado. 2013. Nutrient concentration age dynamics of teak (Tectona grandis L.f.) plantations in Central America. Forest Systems 22 (1):123–33. doi: https://doi.org/10.5424/fs/2013221-03386.
   Web of Science ®Google Scholar
• Figueiredo, E. O., L. C. Oliveira, and L. K. F. Barbosa. 2005. Teca (Tectona grandis L.f.): Top questions for the future forestry entrepreneur, 89. Rio Branco, AC: Embrapa Acre (Embrapa Acre, Documents, 97).
   Google Scholar
• Gazola, R. N., L. H. Lovera, T. S. Celestrino, R. P. Dinalli, R. Montanari, and H. A. Queiroz. 2017. Spatial variability of soybean leaf nutrient concentrations correlated with chemical attributes of a dystroferric Oxisol. Revista Ceres 64 (4):441–9. doi: https://doi.org/10.1590/0034-737x201764040014.
   Google Scholar
• Gil, R. L., L. R. Lanssanova, L. A. Chig, A. T. Almeida Garrett, R. V. Oliveira, P. C. Oliveira Filho, and K. R. Ferreira. 2018. Modelling spatial variability of soil chemical attributes in tectona grandis stands in central-west brazil. Journal of Tropical Forest Science 30 (3):376–83. doi: https://doi.org/10.26525/jtfs2018.30.3.376383.
   Web of Science ®Google Scholar
• IBGE. 2018. IBGE—Instituto Brasileiro de Geografia e Estatística. Territorial Meshes. Rio de Janeiro: IBGE. Disponível em: https://www.ibge.gov.br/geociencias/downloads-geociencias.html. Acesso em: 20 Jan. 2020.
   Google Scholar
• Keogh, R. M., 2013. Teak and its economic importance worldwide. In Teak plantations in Latin America: Myths and realities, ed. R. Camino and J. P. Morales, 8–28. Turrialba: CATIE.
   Google Scholar
• Lima, J. S. S., D. I. Alves, R. I. Coelho, W. P. Sturião, and S. A. Silva. 2016. Spatial variability in the diagnosis of nutritional status in the papaya. Agricultural Science Magazine. Fortaleza 47 (2):264–74. doi: https://doi.org/10.5935/1806-6690.20160031.
   Google Scholar
• Malavolta, E., G. C. Vitti, and S. A. D. Oliveira. 1997. Assessment of the Nutritional Status of Plants: Principles and applications, 319, 2nd ed. Piracicaba: Brazilian Association for Potassium and Phosphate Research.
   Google Scholar
• Marschner, P. 2012. Mineral nutrition of higher plants, 3rd ed. New York, NY: Academic Press.
   Google Scholar
• Matos, G. S. B. D., A. R. Fernandes, and P. G. S. Wadt. 2016. Critical levels and nutrient sufficiency ranges derived from methods for assessing the nutritional status of oil palm. Brazilian Agricultural Research, Brasília 51 (9):1557–67. vnset. doi: https://doi.org/10.1590/S0100-204X2016000900055.
   Google Scholar
• Molin, J. P., L. R. Amaral, and A. F. Colaço. 2015. Precision agriculture, 238, 1st ed. São Paulo: Text Workshop.
   Google Scholar
• Pelissari, A. L., S. F. Caldeira, V. S. Santos, and J. O. P. Santos. 2012. Special correlation of soil chemical attributes with teak development in Mato Grosso. Brazilian Forest Research, Colombo 32 (n. 71):247–56. doi: https://doi.org/10.4336/2012.pfb.32.71.247.
   Google Scholar
• Pita, J. D. 2012. Spatial variability of soil chemical and dendrometric attributes in teak plantation (Tectona grandis L. f. Lamiaceae) in Abaetetuba-PA. 2012. 94f. Dissertation. Masters in Forest Science—Federal Rural University of the Amazon, Belém.
   Google Scholar
• Raij, V. B. 2017. Soil fertility and nutrient management, 420, 2nd ed. Piracicaba: IPNI.
   Google Scholar
• Santos, H. G., P. K. T. Jacomine, L. H. C. d. Anjos, V. A. d. Oliveira, J. F. Lumbreras, M. R. Coelho, J. A. d. Almeida, J. C. d. Araujo Filho, J. B. d. Oliveira, and T. J. F. Cunha. 2018. Brazilian system of soil classification, vol. 5, no. 1. Brasilia: Embrapa.
   Google Scholar
• Serra, A. P., M. E. Marchetti, E. P. Rojas, and A. C. T. Vitorino. 2012. Beaufils ranges to assess the cotton nutrient status in the southern region of Mato Grosso. Revista Brasileira de Ciência Do Solo 36 (1):171–82. doi: https://doi.org/10.1590/S0100-06832012000100018.
   Web of Science ®Google Scholar
• Serra, A. P., M. E. Marchetti, A. C. T. Vitorino, J. O. Novelino, and M. A. Camacho. 2010. Determination of normal ranges of nutrients in cotton using the CHM, CND and DRIS methods. Brazilian Journal of Soil Science 34:105–13. doi: https://doi.org/10.1590/S0100-06832010000100011.
   Google Scholar
• Souza, R. M. S., A. Q. Almeida, A. Ribeiro, E. S. Souza, and F. P. Leite. 2015. Evaluation of the spatial dependence of dendrometric characteristics for an Eucalyptus plantation. Acta Scientiarum. Agronomy 37 (4):483–8. doi: https://doi.org/10.4025/actasciagron.v37i4.19676.
   Web of Science ®Google Scholar
• Vieira, S. R., O. G. Filho, M. K. Chiba, E. V. Mellis, S. C. F. Dechen, and I. C. Maria. 2010. Spatial variability of leaf nutrient content and soybean yield in two years of cultivation in a red oxisol. Brazilian Journal of Soil Science 34:1503–14.
   Google Scholar
• Vieira, S. R., j l Hatfield, D. R. Nielsen, and J. W. Biggar. 1983. Geostatistical theory and application to variability of some agronomical properties. Hilgardia 51 (3):1–75. doi: https://doi.org/10.3733/hilg.v51n03p075.
   Google Scholar
• Yamamoto, J. K., and P. M. B. Landim. 2013. Geostatistics: Concepts and applications, 216, 1 ed. Text Workshop, São Paulo.
   Google Scholar
• Zonta, J. H., Z. N. Brandão, J. C. Medeiros, R. S. Sana, and V. Sofiatti. 2014. Spatial variability of soil fertility in an area cultivated with cotton in the Cerrado of Brazil. Brazilian Journal of Agricultural and Environmental Engineering, Campina Grande 18 (6):595–602.
   Google Scholar