Variabilidade espacial de propriedades químicas do solo e da produtividade de citros na Amazônia Oriental

Oliveira, Paulo César de; Farias, Paulo Roberto Silva; Lima, Herdjânia Veras de; Fernandes, Antônio Rodrigues; Oliveira, F. A. de; Pita, Javier Dias

doi:10.1590/s1415-43662009000600007

Cited by 23 publications

(19 citation statements)

References 7 publications

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“…Para avaliação da variabilidade espacial dos atributos químicos foram feitas análises variográficas cujos dados foram ajustados aos modelos esférico, gaussiano e exponencial (Oliveira et al, 2009). Após obtenção dos semivariogramas e constatação da dependência espacial, mapas de isolinhas foram gerados utilizando-se, como interpolador (preditor) o método da Krigagem por meio do programa Surfer 8.0 (Golden Software Inc., 1999).…”

Section: Figura 1 Compartimentação Do Microrrelevo E Transporte Supeunclassified

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

Artur

Oliveira

Costa

et al. 2014

Rev. bras. eng. agríc. ambient.

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R E S U M OA variabilidade dos atributos químicos do solo é influenciada por complexas interações entre os fatores e os processos de formação do solo. Este trabalho partiu da hipótese de que os atributos químicos do solo variam com o microrrelevo a ponto de alterar as recomendações de manejo para uso agrícola. Com isto, o relevo foi separado em compartimentos e as superfícies estudadas com o objetivo de se determinar os atributos químicos do solo, avaliar a distribuição e a dependência espacial desses atributos. A grade amostral compreendeu uma área de 102 ha da Fazenda Agrícola Famosa, localizada na Chapada do Apodi, CE. O solo da área apresenta origem calcária e as amostras foram coletadas em 92 pontos distanciados 200 m na linha e 100 m entre linhas, nas profundidades de 0-20 e 20-40 cm. Com os dados, gerou-se um modelo de elevação do terreno e, com base nas formas de relevo identificadas, dividiu-se o local de estudo em superfícies. Os dados foram avaliados por estatística descritiva e análise de variabilidade espacial, com base no ajuste de semivariogramas e mapas de krigagem. Os atributos químicos do solo apresentaram variabilidade espacial nos microrrelevos convexo, retilíneo e côncavo, intensificada pelo fluxo de água nas profundidades. Spatial variability of soil chemical attributes associated with microrelief A B S T R A C TThe variability of soil chemical attributes is influenced by complex interactions between factors and processes of soil formation. This study hypothesized that soil chemical attribute varies with microrelief to change management recommendations for agricultural use. The relief was separated in compartments and surfaces were studied with the objective to determine the soil chemical properties and to evaluate the spatial dependence of these attributes. Sampling grid was established in an area of 102 ha at Agricultural Farm Famosa localized in Plateau of Apodi, CE. The soil was derived from limestone and was collected at 92 points spaced at 200 by 100 m and in 0-20 and 20-40 cm depths. With the topographic data a terrain modeling was generated and based on the identified microrelief, the study site was divided into surfaces. Data were analysed using descriptive statistics and spatial variability analysis, with the semivariograms adjustments and kriging maps. Soil chemical attributes showed spatial variability at the convex, concave and rectilinear microrelief, being intensified by water flow at the depths.

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Section: Figura 1 Compartimentação Do Microrrelevo E Transporte Supeunclassified

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

Artur

Oliveira

Costa

et al. 2014

Rev. bras. eng. agríc. ambient.

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“…De acordo com o critério proposto por Warrick e Nielsen (1980), o coeficiente de variação (CV) apresentou-se médio para Ca, Mg e K, e apresentou-se alto para P. Resultados semelhantes foram encontrados por Bottega et al (2013) para todos atributos químicos e Oliveira et al (2009) para Ca, Mg e K. Com relação ao alto valor de CV verificado para a variável P, esse fato…”

Section: Resultsunclassified

Spatial variability of macronutrients in a crop of conilon coffee in the north of Espírito Santo

Santos

Gontijo

Silva

et al. 2015

Revista Ciência Agronômica

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RESUMO -Os solos do Estado do Espírito Santo apresentam baixa fertilidade natural, que frequentemente limita a produção das lavouras devido às deficiências de alguns elementos. No entanto, os mesmos apresentam alto potencial de produção agrícola quando são sanadas as limitações químicas presentes. Objetivou-se no presente estudo descrever a variabilidade espacial dos macronutrientes cálcio (Ca), magnésio (Mg), fósforo (P) e potássio (K) em uma lavoura de café conilon (Coffea canephora Pierre) localizada na área rural do município de São Mateus, ES. O experimento foi conduzido em uma lavoura, plantada com espaçamento 1,8 x 1,0 m (5.555 plantas ha ABSTRACT -The soils in the state of Espírito Santo, Brazil (ES) display low natural fertility, which often limits the production of the crops due to the deficiency of some elements. However, they have a high potential for agricultural production when the chemical limitations which are present are overcome. The aim of this study was to describe the spatial variability of the macronutrients calcium (Ca), magnesium (Mg), phosphorus (P) and potassium (K) in a crop of conilon coffee (Coffea canephora Pierre) located in the rural area of the city of São Mateus, ES. The experiment was carried out on a crop, planted at a spacing of 1.8 x 1.0 m (5,555 plants ha -1 ). A rectangular grid of 61.6 x 20.0 m (1,232 m 2 ) was considered, with 60 sampling points, spaced 5.6 m apart between rows and 5.0 m within each crop row. At each point in the sampling grid, soil samples were collected at a depth of 0.00-0.20 m. All the macronutrients under study displayed a strong spatial dependence. The greatest range of spatial dependence was observed for Mg (32.4 m) and the smallest for Ca (8.1 m). Study of the spatial variability of the chemical properties of the soil by geostatistics, using kriging, proved to be an important tool in understanding the spatial distribution of macronutrients in the soil, and may be crucial in aiding the decision making that helps to attend the nutritional requirements of the conilon coffee crop.

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“…The yield maps represent the spatial variability of the orchard, growth and yield of plants showing complete information about the orchard (Oliveira et al, 2009). Therefore, the predominance of values in yield maps was observed, as ranging from 14 to 17 kg.quadrant -1 in all quadrants studied.…”

Section: Spatial Distributionmentioning

confidence: 96%

Spatial variability of the yield and physical properties of orange (Citros sinensis [L.] Osbeck cv. Monte Parnaso) fruits

Nicolau¹,

Mercante²,

Maggi³

et al. 2017

Aust J Crop Sci

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Precision agriculture (PA) is used as a tool in the citrus industry and aims to increase production reduce costs and search for answers to explain the spatial variability of yield. The aim of this study was to model the spatial variability of yield and physical properties of fruits of orange trees in relation to the geographic quadrant where the fruits are on the trees. The experiment was carried out in a 1 ha commercial orchard of orange trees cv. Monte Parnaso. A GPS receiver and a total station were used to georeference the experimental area and the position of each sampled tree in the area, as well as the location of the geographic quadrant where the fruits sampled were on the trees. Twelve fruits were collected from each of the 13 sampled trees, resulting 39 fruits per quadrant, totalling 156 fruits each crop-year (2011 and 2012). Yield was estimated after the harvest (kg.quadrant -1 ). Physical analyses were performed for each fruit, measuring the following physical properties: equatorial diameter, total mass and juice yield. We conducted analysis of descriptive statistics and spatial variability in the data through techniques related to geostatistics. The results showed the highest spatial variability between the quarters for the juice yield and yield, and the verified juice yield was within the acceptable standard by regulatory bodies.

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Variabilidade espacial de propriedades químicas do solo e da produtividade de citros na Amazônia Oriental

Cited by 23 publications

References 7 publications

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

Spatial variability of macronutrients in a crop of conilon coffee in the north of Espírito Santo

Spatial variability of the yield and physical properties of orange (Citros sinensis [L.] Osbeck cv. Monte Parnaso) fruits

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