Soil management of limed areas cultivated with banana identified by magnetic susceptibility
Palavras-chave:
limestone, precision agriculture, correlation, geostatisticsResumo
The geostatistics technique is widely used to identify the variability of soil attributes, although being expensive due to the large number of samples that it requires. In this sense, magnetic susceptibility has been an alternative to assess landscape variation, a fact that can assist in sampling planning. This study aimed to evaluate the potential of magnetic susceptibility in identifying specific soil management zones and its relationship with soil attributes that can assist in the management of correction and fertilization in an area cultivated with banana with limestone application modes. In a banana orchard, 42 soil samples were collected at a depth of 0.00 to 0.20 m, with a 30 x 35 m sampling grid. The attributes evaluated were magnetic susceptibility, pH, organic matter, aluminum, H + Al, base saturation and cation exchange capacity, clay, sand, and silt. A descriptive and geostatistical analysis of the data was performed. Spearman correlation analysis was used to identify which attributes are associated with magnetic susceptibility. Magnetic susceptibility correlates with chemical and granulometric attributes in the Entisols. Magnetic susceptibility proved to be an efficient attribute in identifying specific management zones, assisting in the sampling planning of soils cultivated with banana.
Referências
Bernardi ADC, Bueno JDA, Laurenti N, Santos KEL & Alves TC (2018) Efeito da calagem e fertilizantes aplicados à taxa variável nos atributos químicos do solo e custos de produção de pastagem de capim Tanzânia manejadas intensivamente. Revista Brasileira de Engenharia de Biossistemas, 12:368-382.
Cambardella CA, Moorman TB, Parkin TB, Karlen DL, Novak JM, Turco RF & Konopka AE (1994) Field-scale variability of soil properties in Central Iowa Soils. Soil Science Society American Journal, 58:1501-1511.
Cervi EC, Maher B, Poliseli PC, Souza Junior IG & Costa ACS (2019) Magnetic susceptibility as a pedogenic proxy for grouping of geochemical transects in landscapes. Journal of Applied Geophysics, 169:109-117.
Dearing JA (1999) Environmental magnetic susceptibility: using the Bartington MS2 system. 2o ed. Kenilworth, Chi Publishing. 54p.
Freitas JRB, Moitinho MR, Teixeira DB, Bicalho ES, Silva Júnior JF da, Siqueira DS, Barbosa BFF, Soares PLM & Pereira GT (2017) Soil factors influencing nematode spatial variability in soybean. Agronomy Journal, 109:610.
Grison H, Petrovsky E, Kapicka A & Stejskalova S (2016) Magnetic and chemical parameters of andic soils and their relation to selected pedogenesis factors. Catena, 139:179-190.
Jordanova N (2016) Soil magnetism: Applications in pedology, environmental science and agriculture. Cambridge, Academic Press. 445p.
Lourenço AM, Sequeira E, Sant’Ovaia H & Gomes CR (2014) Magnetic, geochemical and pedological characterisation of soil profiles from different environments and geological backgrounds near Coimbra, Portugal. Geoderma, 213:408-418.
Machado J, Fátima Padilha MR de, Lira FP de, Oliveira JG de, Silva RS da & Caetano MBC (2018) Agricultura de Precisão e abertura de novas fronteiras no Brasil. Revista Geama, 4:49-53.
Magiera T, Lukasik A, Zawadzki J & Rösler W (2019) Magnetic susceptibility as indicator of anthropogenic disturbances in forest topsoil: A review of magnetic studies carried out in Central European forests. Ecological Indicators, 106:105518.
Matias SSR, Baptistel AC, Nóbrega JCA, Andrade FR & Silva JBL (2015) Variabilidade espacial dos atributos do solo em duas áreas de manejo convencional no Cerrado piauiense. Amazonian Journal of Agricultural and Environmental Sciences, 58:217-227.
Matias SSR, Marques Júnior J, Siqueira DS & Pereira GT (2013) Modelos de paisagem e susceptibilidade magnética na identificação e caracterização do solo. Pesquisa Agropecuária Tropical, 43:93-103.
Santos HL, Marques Júnior J, Matias SSR, Siqueira DS & Pereira GT (2011) Suscetibilidade magnética na identificação de compartimentos da paisagem em uma vertente. Revista Brasileira de Ciências Agrárias, 6:710-716.
Seidel EJ & Marcelo SA (2016) Classification for a geostatistical index of spatial dependence. Revista Brasileira de Ciência do Solo, 40:e0160007.
Silva Neto SP, Santos AC, Leite RLL, Dim VP, Cruz RS, Pedrico A & Neves Neto DN (2011) Análise espacial de parâmetros da fertilidade do solo em região de ecótono sob diferentes usos e manejos. Semina: Ciências Agrárias, 32:541-552.
Soares MDR, Campos MCC, Souza ZM, Brito WBM, Franciscon U & Castione GA (2015) Variabilidade espacial dos atributos físicos do solo em área de Terra Preta Arqueológica sob pastagem em Manicoré, AM. Amazonian Journal of Agricultural and Environmental Sciences, 58:434-441.
Song YQ, Zhu AX, Cui XS, Liu YL, Hu YM & Li B (2019) Spatial variability of selected metals using auxiliary variables in agricultural soils. Catena, 174:499-513.
Souza ZM, Souza GS, Marques Júnior J & Pereira GT (2014) Número de amostras na análise geoestatística e na krigagem de mapas de atributos do solo. Ciência Rural, 44:261-268.
Teixeira PC, Donagemma GK, Fontana A & Teixeira WG (2017) Manual de métodos de análise de solos. 3a ed. Rio de Janeiro, Embrapa Solos. 573p.
Warrick AW & Nielsen DR (1980) Spatial variability of soil physical properties in the field. In: Hillel D (Ed.) Applications of soil physics. New York, Academic. p.319-344.
Zhen J, Pei T & Xie S (2019) Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil. Science of The Total Environment, 659:363-371.
Zonta JH, Brandão ZN, Medeiros JC, Sana RS & Sofiatti V (2014) Variabilidade espacial da fertilidade do solo em área cultivada com algodoeiro no Cerrado do Brasil. Revista Brasileira de Engenharia Agrícola e Ambiental, 18:595-602.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
