Spatio-temporal variability of leaf macronutrients in a conilon coffee crop

Autores

  • Diego Capucho Cezana Universidade Federal do Espírito Santo, UFES, Brasil
  • Ivoney Gontijo Universidade Federal do Espírito Santo, CEUNES - Centro Universitário Norte do Espírito Santo. https://orcid.org/0000-0002-4251-4689
  • André Cayô Cavalcanti MULTIVIX https://orcid.org/0000-0003-4993-8377
  • Marcelo Barreto da Silva Universidade Federal do Espírito Santo, CEUNES - Centro Universitário Norte do Espírito Santo.
  • Eduardo Oliveira de Jesus Santos Universidade Federal do Espírito Santo, UFES, Brasil
  • Fábio Luiz Partelli Universidade Federal do Espírito Santo, CEUNES - Centro Universitário Norte do Espírito Santo. https://orcid.org/0000-0002-8830-0846

DOI:

https://doi.org/10.47456/bjpe.v10i1.42755

Palavras-chave:

Semivariogram, kriging, precision agriculture, Coffea canephora

Resumo

Studies focusing the understanding of spatio-temporal variability of soil and plant attributes may contribute to the rational use of agricultural inputs, enabling economic and environmental profits. The objective of this work was to determine the spatial and temporal variability of the foliar macronutrients in a Coffea canephora (Conilon coffee) plantation, in two sampling periods (pre-harvest and fruit growth). The study was performed in a Conilon coffee plantation with double spacing of 3.0 x 2.0 x 1.0m (4.000 plat ha-1) under drip irrigation system, in the county of São Mateus, Espírito Santo - Brazil. An irregular mesh with approximately 1.37 ha with 100 points, at a minimum distance of 2 m with each other, was installed. On each sampling point foliar tissue samples were collected in two distinctive periods, during pre-harvest and fruit growth and the levels of foliar macronutrients were determined. Results were submitted to descriptive analysis and geostatistics. A moderate spatial dependence structure was observed and verified for foliar contents of nitrogen, phosphorus, potassium and calcium in both sampling periods.

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Referências

Action development core team. (2012). Action 2.3: ESTATCAMP. São Carlos.

Amado, T. J. C. et al. (2007). Variabilidade espacial e temporal da produtividade de culturas sob sistema de plantio direto. Pesquisa Agropecuária Brasileira, Brasília, 42(8), 1101-1110. DOI: https://doi.org/10.1590/S0100-204X2007000800006

Alvares, C. A. Et al. (2013). Koppen’s climate classification map for Brazil. Meteorologische Zeitschrift, Stuttgart, 22(6), 711-728. DOI: https://doi.org/10.1127/0941-2948/2013/0507

Alves, M. C. et al. (2009). Geostatistical analysis of the spatial variation of the berry borer and leaf miner in a coffee agroecosystem. Precision Agriculture, Dordrecht, 10(12), 1-14. DOI: https://doi.org/10.1007/s11119-009-9151-z

Armindo, R. A. et al. Spatial variability of leaf nutrient contents in a drip irrigated citrus orchard. Engenharia Agrícola, Jaboticabal, 32(3), 479-489. DOI: https://doi.org/10.1590/S0100-69162012000300007

Bardin-Camparotto, L., camargo, M. B. P., & Moraes, J. F. L. (2012) Época provável de maturação para diferentes cultivares de café arábica para o Estado de São Paulo. Ciência Rural, Santa Maria, 42(4),.594-599. DOI: https://doi.org/10.1590/S0103-84782012000400003

Cambardella, C. A. et al (1994). Field-scale variability of soil properties in Central Iowa Soils. Soil Science Society of America Journal, Madison, 58(5), 1501-1511 DOI: https://doi.org/10.2136/sssaj1994.03615995005800050033x

Corá, J. E. et al. (2004) Variabilidade espacial de atributos do solo para adoção do sistema de agricultura de precisão na cultura de cana-de-açúcar. Revista Brasileira de Ciência do Solo, Viçosa, 28(6), 1013-1021. DOI: https://doi.org/10.1590/S0100-06832004000600010

Covre, A. M., Partelli, F. L., Bonomo, R., Braun, H., & Ronchi, C. P. (2016). Vegetative growth of Conilon coffee plants under two water conditions in the Atlantic region of Bahia State, Brazil. Acta Scientiarum. Agronomy, 38(4), 535-545. DOI: https://doi.org/10.4025/actasciagron.v38i4.30627

Covre, A. M. Partelli, F. L. Bonomo, R., & Gontijo, I. (2018). Micronutrients in the fruits and leaves of irrigated and non-irrigated coffee plants. Journal of Plant Nutrition, (41). 1-11. DOI: https://doi.org/10.1080/01904167.2018.1431665

Covre, A. M., Rodrigues, W. P., Vieira, H. D., Braun, H., Ramalho, J. C. & Partelli, F. L. (2016). Nutrient accumulation in bean and fruit from irrigated and non-irrigated Coffea canephora cv. Conilon. Emirates Journal of Food and Agriculture, 28(6): 402-409. https://doi.org/10.9755/ejfa.2016-04-341 DOI: https://doi.org/10.9755/ejfa.2016-04-341

Empresa Brasileira de Pesquisa Agropecuária. Sistema brasileiro de classificação de solos. 3.ed. rev. ampl. Rio de Janeiro: Embrapa Solos, 2013. 353 p.

Esri Corp (2014). ArcGIS 10.2.2. Available from http://www.esri.com/software/arcgis

Farnezi, M. M. M. et al. Levantamento da qualidade da bebida do café e avaliação do estado nutricional dos cafeeiros do Alto Jequitinhonha, Minas Gerais, através do DRIS. Ciência e Agrotecnologia, (2010). Lavras,34(5), 1191-1198 DOI: https://doi.org/10.1590/S1413-70542010000500016

Fonseca, A. S. et al. (2015). Spatial variability of the productivity and the nutritional condition of Coffee canephora. Coffee Science, Lavras, 10(4), 420-428.

Gamma Design Software (2004). Geoestatistics for the environmental science. Version 7.0. Michigan. 1CD-ROM.

Gomes, W.R.; Rodrigues, W.P.; Vieira, H.D.; Oliveira, M.G.; Dias, J.R.M.; Partelli, F.L. Genetic diversity of standard leaf nutrients in Coffea canephora genotypes during phenological phases. Genetics and Molecular Research, 15(4). https://doi.org/p. gmr.15048839 DOI: https://doi.org/10.4238/gmr.15048839

Guimarães, E. C.(2000) Variabilidade espacial de atributos de um Latossolo Vermelho-escuro textura argilosa da região do cerrado, submetido ao plantio direto e ao plantio convencional [tese]. Campinas: Universidade Estadual de Campinas.

ICO - International Coffee Organization. (2022). Trade Statistics. Available from http://www.ico.org/trade_statistics.asp

Laviola, B. G. et al. (2008). Acúmulo em frutos e variação na concentração foliar de NPK em cafeeiro cultivado em quatro altitudes. Bioscience Journal, Uberlândia, 24(1), 19-31.

Laviola, B. G. et al. (2007). Acúmulo de nutrientes em frutos de cafeeiro em quatro altitudes de cultivo: cálcio, magnésio e enxofre. Revista Brasileira de Ciência do Solo, Viçosa, 31(6), p.1451-1462. DOI: https://doi.org/10.1590/S0100-06832007000600022

MAPA - Ministério da Agricultura, Pecuária e Abastecimento. (2018). Registro Nacional de Cultivares - RNC. Available from http://sistemas.agricultura.gov.br/snpc/cultivarweb/cultivares_registradas.php

Marré, W. B., Partelli, F. L., Espindula, M. C., Dias, J. R. M., Gontijo, I., & Vieira, H. D. (2015). Micronutrient accumulation in conilon coffee berries with different maturation cycles. Revista Brasileira de Ciência do Solo, (39), 1456-1462. DOI: https://doi.org/10.1590/01000683rbcs20140649

Oliveira, R. B. et al. (2010). Spatial variability of the nutritional condition of canephora coffee aiming specific management. Coffee Science, Lavras, 5(3), 190-196.

Partelli, F. L., Espindula, M. C., Marré, W. B., & Vieira, H. D. (2014) Dry matter and macronutrient accumulation in fruits of conilon coffee with different ripening cycles. Revista Brasileira de Ciência do Solo, v. 38(1) 214-222. DOI: https://doi.org/10.1590/S0100-06832014000100021

Mota, F. M., Partelli. F. L., Santos, A. R., Ferrari, J. L., & Peluzio, J. B. E. (2020). Relação entre variáveis meteorológicas e Índices de Vegetação em lavouras cafeeiras. Brazilian Journal of Animal and Environmental Research, (3). 4287-4209. DOI: https://doi.org/10.34188/bjaerv3n4-125

Partelli, F. L., Vieira, H. D., Carvalho, V. B., de, & Mourão Filho, F. de A. A. (2007). Diagnosis and recommendation integrated system norms, sufficiency range, and nutritional evaluation of Arabian coffee in two sampling periods. Journal of Plant Nutrition, (30) 1651-1667. DOI: https://doi.org/10.1080/01904160701615525

Santos, M M., Silva, C. A., Oza, E. F., Gontijo, I., Amaral, J. F. T., & Partelli, F. L. (2021). Concentration of Nutrients in Leaves, Flowers, and Fruits of Genotypes of Coffea canephora. Plants, (10), 2661-2680. DOI: https://doi.org/10.3390/plants10122661

Santos, E. O. J., Gontijo, I., Silva, M. B., & Partelli, F. L. (2017). Sampling design of soil physical properties in a conilon coffee field. Revista Brasileira de Ciência do Solo, Viçosa, (41). https://doi.org/10.1590/18069657rbcs20160426 DOI: https://doi.org/10.1590/18069657rbcs20160426

Silva, S. A. et al (2010). Variabilidade espacial de atributos químicos de um Latossolo Vermelho-amarelo húmico cultivado com café. Revista Brasileira de Ciência do Solo, Viçosa, 34(1), 15-22. DOI: https://doi.org/10.1590/S0100-06832010000100002

Silva, S. A., Lima, J. S. S., & Bottega, E. L. (2013). Yield mapping of arabic coffee and their relationship with plant nutritional status. Journal of Soil Science and Plant Nutrition, 13(3), 556-564. DOI: https://doi.org/10.4067/S0718-95162013005000044

Silva, S. A., Lima, J. S. S., & Queiroz, D. M. (2011). Spatial variability in nutritional status of arabic coffee based on dris index. Revista Ceres, Viçosa, 58(2) 256-261. DOI: https://doi.org/10.1590/S0034-737X2011000200019

Silva, S. A., Lima, J. S. S., & Teixeira, M. M. (2009). Variabilidade espacial da produtividade e teores de macronutrientes nas folhas de duas variedades de café arábica. Engenharia na agricultura, Viçosa, 17(5) 337-345 DOI: https://doi.org/10.13083/1414-3984.v17n05a01

Silva, S. A. & Lima, J. S. S. (2014). Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties. Revista Brasileira de Ciência do Solo, 38(5), 1439-1447. DOI: https://doi.org/10.1590/S0100-06832014000500009

Silva, M. B., Partelli. F. L., Gontijo, I., & Caldas, M. M. (2020). Nutritional balance and its relationship to yield in a coffee field: Inferences from geospatial analysis. Revista Brasileira de Engenharia Agricola e Ambiental, (24)1, 834-839. DOI: https://doi.org/10.1590/1807-1929/agriambi.v24n12p834-839

Van der Vossen, H. (2016) Narrowing the yield gap of smallholder coffee production as sustainable strategy to meet rising demand for quality coffees. The 26th International Conference on Coffee Science. Kunming (2).

Vieira, S. R. et al. (1983). Geostatistical theory and application to variability of some agronomical properties. Hilgardia, Berkeley, 51(1), 1-15. DOI: https://doi.org/10.3733/hilg.v51n03p075

Vieira, S. R. et al. (1997). Scaling of semivariograms and the kriging estimation of field-measured properties. Revista Brasileira de Ciência do Solo, Viçosa, 21(4). 525-533. DOI: https://doi.org/10.1590/S0100-06831997000400001

Warrick, A.W., Nielsen, D.R (1980). Spatial variability of soil physical properties in the field. In: HILLEL, D., ed. Applications of soil physics. New York, Academic, (1)1,.319-344 DOI: https://doi.org/10.1016/B978-0-12-348580-9.50018-3

Publicado

19.03.2024

Como Citar

Cezana, D. C., Gontijo, I., Cavalcanti, A. C., Silva, M. B. da, Santos, E. O. de J., & Partelli, F. L. (2024). Spatio-temporal variability of leaf macronutrients in a conilon coffee crop. Brazilian Journal of Production Engineering, 10(1), 178–187. https://doi.org/10.47456/bjpe.v10i1.42755

Edição

Seção

ENGENHARIA AGRÍCOLA