Fabio Junior de Oliveira
@portal.ufra.edu.br
Docente da Universidade Federal Rural da Amazônia Campus Capitao Poco
Universidade Federal Rural da Amazonia
RESEARCH, TEACHING, or OTHER INTERESTS
Agronomy and Crop Science, Plant Science, Agricultural and Biological Sciences, Insect Science
Scopus Publications
Scopus Publications
Luiz Antonio Soares Cardoso, Paulo Roberto Silva Farias, João Almiro Corrêa Soares, Carlos Rodrigo Tanajura Caldeira, and Fábio Júnior de Oliveira
Elsevier BV
L. A. S. Cardoso, P. R. S. Farias, J. A. C. Soares, C. R. T. Caldeira, and F. J. de Oliveira
Springer Science and Business Media LLC
Jamile do Nascimento Santos, Izadora de Cássia Mesquita da Cunha, Odailson Rodrigues do Nascimento, Flavio Henrique Santos Rodrigues, Luiz Antonio Soares Cardoso, and Fábio Júnior de Oliveira
Springer Science and Business Media LLC
Luiz Antonio Soares Cardoso, Paulo Roberto Silva Farias, João Almiro Corrêa Soares, and Fábio Júnior de Oliveira
Springer Science and Business Media LLC
Edna Santos de Souza, Antonio Rodrigues Fernandes, Anderson Martins De Souza Braz, Fábio Júnior de Oliveira, Luís Reynaldo Ferracciú Alleoni, and Milton César Costa Campos
Copernicus GmbH
Abstract. Amazonian soils are heterogeneous. However, few studies have been carried out in the Amazon, mainly because of its considerable size, which complicates the collection of data and the ability to plan for the sustainable use of natural resources. In this study, the physical, chemical, and mineralogical attributes of soils in the state of Pará, Brazil, were characterized by examining the particle size, fertility, silicon extracted by sodium hydroxide, iron, and aluminum, and manganese extracted by sulfuric acid, sodium citrate-bicarbonate-dithionite, and ammonium oxalate + oxalic acid. A descriptive analysis, multivariate principal component analysis, and cluster analysis were performed. The soils had low concentrations of bioavailable P, Ca2+, Mg2+, and K and had high concentrations of Al3+, Si, and Al oxide in the Cambisols. Concentrations of Fe and Mn oxides were higher in both the Cambisols and Nitosols, which are rich in oxidic minerals. The multivariate analysis indicated an association between the organic carbon content and pH, P, Ca, Mg, and K concentrations. An additional association was observed between clay, potential acidity, and the Fe and Al oxide concentrations.
Edna Santos de Souza, Renato Alves Texeira, Hercília Samara Cardoso da Costa, Fábio Júnior Oliveira, Leônidas Carrijo Azevedo Melo, Kelson do Carmo Freitas Faial, and Antonio Rodrigues Fernandes
Elsevier BV
RAIMUNDO DIONÍZIO PINTO BRITO, PAULO ROBERTO DA SILVA FARIAS, NARA ELISA LOBATO RODRIGUES, FABIO JÚNIOR DE OLIVEIRA, and RENATO ALVES TEXEIRA
FapUNIFESP (SciELO)
ABSTRACT The production of biofuels from native Amazonian palm trees, belonging to the family of Arecaceae, like Attalea maripa (Aubl) Mart. (Maripa palm), are objects of studies of alternative energy sources for the biofuels production. Thus, the aim of this research was to evaluate the spatial dynamics of agronomic variables of Maripa palm crop production associated with the characteristics of the sampling sites in a spontaneous growth area in the Low Tocantins region. 100 palms of A. maripa were selected, of spontaneous growth and in production phase, on a 10 ha area in the municipality of Cametá / PA, in which the morpho-agronomical variables were collected (MIN, FIN, ABN, LN, DBH, AWAB and AFW), from January 2014 to June 2014. The semivariograms were produced for each variable, which presented a spatial dependence range of 75 meters to MIN, FIN, AWAB and AFW, 80 meters to LN and DBH and 98 meters to ABN. The area of reach found was 17,671.5 m² for MIN, FIN, AWAB and AFW variables, 20,106.2 m² for LN and DBH and 30,171.9 m² for ABN. The data of the variables were adjusted to the spherical model presenting determination coefficient (R²) that ranged from 0.57 to 0.99. The spatial dependence index (SDI) for MIN and FIN variables was 0.49 and 0.31, respectively, indicating moderate spatial dependence. For ABN, LN, DBH and AWAB variables ranged from 0.17 to 0.22, resulting in poor spatial dependence. The AFW variable presented SDI of 0.77. For the visual analysis of the spatial distribution of the studied variables, kriging maps were created.
José Nilton da Silva, Paulo Roberto Silva Farias, Anderson Gonçalves da Silva, Fábio Júnior de Oliveira, and Ricardo Salles Tinôco
Universidade Estadual de Londrina
This work studied the spatial dispersion of cases of fatal yellowing (FY) in an oil palm plantation in Acará, Pará State, Brazil. Data were collected monthly from two areas, divided in 16 quadrants each, for a 24 month period (2012-2013). In each quadrant, 138 plants were evaluated. The number of diseased plants was counted in twenty planting lines, and the spatial pattern of the disease was analyzed. The following spatial analysis techniques were used: common sequences of “runs”, “doublets” and quadrants. We also determined the levels of disease aggregation in the sectors. Plants with FY had a spatial distribution aggregated in a lower line number when using the “run” analysis than when using the “doublets” method. Aggregation of FY cases was observed in 30% of the evaluated lines. The quadrant analysis confirmed the existence of case aggregation, with vertical and horizontal distribution. The existence of disease forming foci suggests that FY probably has biotic origin. Additional studies are required to confirm this hypothesis.
Fábio Júnior de Oliveira, Paulo Roberto Silva Farias, Anderson Gonçalves da Silva, Karjoene Cassimiro Vilar Rodrigues, and Francisca das Chagas Bezerra de Araújo
GN1 Genesis Network
O objetivo deste trabalho foi avaliar a distribuicao espacial da leprose dos citros em dois pomares na regiao citricola do Nordeste Paraense/Amazonia Oriental. Realizaram-se avaliacoes com intervalo mensal no periodo de dezembro de 2011 a novembro de 2012, verificando-se plantas com sintomas caracteristicos da leprose dos citros, anotando-se 1 para presenca e 0 para ausencia. Foi aplicada a geoestatistica para a analise espacial da doenca, modelagem dos semivariogramas e confeccao dos mapas de krigagem. O modelo que melhor se ajustou a distribuicao espacial da doenca foi o esferico, pois apresentou maior valor do coeficiente de determinacao, com variacao no alcance de 18 a 29 m na area A, e de 9 a 30 m na area B. O Indice de Dependencia Espacial (IDE) apresentou-se moderado para todas as avaliacoes da area A, ficando no intervalo de 0,25 a 0,75, e na area B com excecao dos meses de dezembro de 2011, junho e setembro de 2012, que apresentaram o IDE moderado, todos apresentaram o IDE fraco com valores abaixo de 0,25. A geoestatistica mostrou-se uma ferramenta propicia para a avaliacao da distribuicao espacial do Citrus leprosis virus (CiLV).