Variabilidade espacial de propriedades de Latossolo e da produção de café em diferentes superfícies geomórficas

Sanchez, Rodrigo Baracat; Júnior, José Marques; Pereira, Gener Tadeu; Souza, Zigomar Menezes de

doi:10.1590/s1415-43662005000400008

Cited by 19 publications

(28 citation statements)

References 18 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This wide data range is due to fertilizer application in rows and for P, due to its low mobility in the soil. Similar results were observed by SANCHEZ et al (2005) andSOUZA et al (2006) in areas cultivated with coffee and sugarcane, respectively.…”

Section: Resultssupporting

confidence: 85%

“…SANCHEZ et al (2005) studied the influence of geomorphic surfaces in the spatial variability of soil properties and found that small variations in the gradient led to different terrain variability in relation to chemical and texture properties, in which the spatial variability was higher in older and flat surfaces, that was reflected in the spatial variability of coffee production areas. The adjusted semivariogram model parameters shown in Table 2 were used to estimate values at unsampled locations by kriging (Figure 2).…”

Section: Resultsmentioning

confidence: 99%

“…Soils subjected to the same management system in places with small terrain variation manifest different spatial variability of its properties. This variability is a function of the position of soils in the landscape (BARBIERI et al, 2008) or in slopes, even when the terrain has little expression (SANCHEZ et al, 2005;SOUZA et al, 2006).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

et al. 2011

Self Cite

View full text Add to dashboard Cite

ABSTRACT:The technique of precision agriculture and soil-landscape allows delimiting areas for localized management, allowing a localized application of agricultural inputs and thereby may contribute to preservation of natural resources. Therefore, the objective of this work was to characterize the spatial variability of chemical properties and clay content in the context of soillandscape relationship in a Latosol (Oxisol) under cultivation of citrus. Soil samples were collected at a depth of 0.0-0.2 m in an area of 83.5 ha planted with citrus, as a 50-m intervals grid, with 129 points in concave terrain and 206 points in flat terrain, totaling 335 points. Values for the variables that express the chemical characteristics and clay content of soil properties were analyzed with descriptive statistics and geostatistical modeling of semivariograms for making maps of kriging. The values of range and kriging maps indicated higher variability in the shape of concave topography (top segment) compared with the shape of flat topography (slope and hillside segments below). The identification of different forms of terrain proved to be efficient in understanding the spatial variability of chemical properties and clay content of soil under cultivation of citrus.KEYWORDS: geostatistics, management zone, oxisol, orange. FORMAS DO RELEVO E VARIABILIDADE ESPACIAL DE PROPRIEDADES DO SOLO EM ÁREA CULTIVADA COM CITROSRESUMO: A técnica de agricultura de precisão e a relação solo-paisagem permitem delimitar áreas para o manejo localizado, o que permite a aplicação localizada de insumos agrícolas e, consequentemente, pode contribuir para a preservação de recursos naturais. Portanto, o objetivo deste trabalho foi caracterizar a variabilidade espacial das propriedades químicas e do teor de argila, no contexto da relação solo-paisagem, em um Latossolo sob cultivo de citros. Amostras de solo foram coletadas na profundidade de 0,0-0,2 m, em uma área de 83,5 ha cultivada com citros, na forma de malha, com intervalos regulares de 50 m, com 129 pontos na forma de relevo côncava e 206 pontos na forma plana, totalizando 335 pontos. Os valores obtidos para as variáveis que expressam as propriedades químicas e para o teor de argila do solo foram submetidos à análise estatística descritiva e geoestatística com a modelagem de semivariogramas para a confecção de mapas de krigagem. Os valores de alcance e mapas de krigagem indicaram maiores variabilidades na forma de relevo côncava (segmento topo), quando comparada com a forma plana (segmentos meia encosta e encosta inferior). A identificação de diferentes formas de relevo mostrou-se eficiente no entendimento da variabilidade espacial das propriedades químicas e do teor de argila do solo sob cultivo de citros.PALAVRAS-CHAVE: geoestatística, zona de manejo, paisagem, latossolo, laranja. INTRODUÇÃO

show abstract

Section: Resultssupporting

confidence: 85%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

et al. 2011

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to the results obtained, in agreement with Souza et al (2003) and Sanchez et al (2005), it is verified that, through the kriging maps, it is possible to obtain information that enable a better understanding of the spatial distribution pattern and a definition of the handling and collection zones of coffee seeds with higher physiologic quality, factors that may interfere in the plantation's production. Knowledge on the spatial variability of soil and plant properties that control crop yields is indispensable in modern agriculture, since minor changes can lead to great yield differences (Silva et al, 2010b).…”

Section: Variablessupporting

confidence: 86%

Spatial distribution of physiological quality of Arábica coffee seeds to cultivate Catuai

Lopes¹,

Trigo²,

Lima³

et al. 2014

Idesia

View full text Add to dashboard Cite

Brazil stands as the largest coffee producer in the world. However one of the factors capable of undermining the potential of this species is the poor quality of seeds. One tool that is being proposed for use in agriculture is the Geostatistics analysis to verify the existence and quantify the degree of spatial dependence of variables. The seeds were collected in a field with five years of age in an area of 0.8 ha, 50 sampling points. In the laboratory we used a completely randomized design (CRD) with four replicates of 25 seeds per point materialized with the aid of a total station. After removal of the scrolls, the seeds were treated with Captan (Orth Cide) to 0.1% for five minutes and subjected to the following determinations: moisture, germination first count of germination, root length and shoot length. Then the seeds were placed to develop in an incubator at temperature 20-30 °C for 60 days. In the results there was spatial dependence of the quality variables of physiological Catuaí. The lowest range for the variable length of shoot (CPA) and greater range for the variable fresh weight (MFPA).Key words: precision coffee, germination, geostatistical, vigor. RESUMEN

show abstract

“…As informações obtidas por meio do mapeamento da variabilidade dos atributos dos solos são utilizadas no planejamento das práticas de manejo para conservação do solo e da água (Mello et al, 2006;Silva et al, 2008;Sanchez et al, 2009;Vaezi et al, 2010), produção de culturas agrícolas (Sanchez et al, 2005;Siqueira et al, 2010b;Mann et al, 2010), estudos relacionados à gênese (Camargo et al, 2008a), otimização amostral (Montanari et al, 2005), emissão de CO 2 (Panosso et al, 2009;La Scala Júnior et al, 2010;Brito et al, 2010;Mendonça et al, 2011;Merbold et al, 2011). Pode-se identificar, por meio deste mapeamento, áreas com maior homogeneidade dos atributos dos solos.…”

Section: Introductionunclassified

Classificação numérica e modelo digital de elevação na caracterização espacial de atributos dos solos

Silva

Siqueira

Marques

et al. 2012

Rev. bras. eng. agríc. ambient.

Self Cite

View full text Add to dashboard Cite

R ESU M OUma das necessidades da agricultura moderna é a predição da variabilidade espacial dos atributos dos solos em escalas mais detalhadas, visando o gerenciamento sustentável e a otimização das práticas de manejo dos solos. Associada ao conhecimento da variabilidade dos atributos do solo e ao mapeamento das formas do relevo, a modelagem matemática tem auxiliado no planejamento agrícola. Objetivou-se então, no presente trabalho, caracterizar a variabilidade espacial de atributos físicos e químicos de Latossolo e Argissolo utilizando-se a classificação numérica e o modelo digital de elevação em duas áreas, identificadas por duas pedoformas distintas: pela convexa, para o Latossolo (158 ha) e por meio da linear, para o Argissolo (172 ha). Foram retiradas 53 amostras no Latossolo e 57 amostras no Argissolo e realizada análise multivariada de agrupamentos dos atributos estudados a partir de suas distâncias euclidianas. Esta análise caracterizou, por meio de dendogramas e juntamente com os modelos digitais de elevação para os diferentes solos, grupos mais homogêneos em Argissolo e menos homogêneos para o Latossolo em pedoforma convexa. Esses métodos quantitativos mostraram que as pedoformas condicionaram o padrão espacial dos atributos dos solos.Palavras-chave: análise multivariada, agricultura precisão, mapeamento híbrido, relação solo-paisagem Numerical classification and digital elevation model to spatial characterization of soil attributes A B ST R A C T One of needs of modern agriculture is the prediction of spatial variability of soil properties at more detailed scales for sustainable management and optimization of management practices. The mathematical model associated with knowledge of variability of soil attributes and mapping of relief forms has helped in agricultural planning. In this regard the aim of this study was to characterize the spatial variability of physical and chemical properties of Oxisols and Ultisols using numerical classification and the digital elevation model. Two distinct landforms: convex for the Oxisol (158 ha) and linear for the Ultisol (172 ha). 53 samples from the Oxisol and 57 samples from the Ultisol were taken. Multivariate analysis of clusters of attributes studied from their euclidean distances was performed. This analysis by dendograms along with digital elevation models for different soils characterized was more homogeneous in Ultisol groups, and less homogeneous for the Oxisol in convex landform. These quantitative methods showed that the landforms conditioned the spatial pattern of soil attributes.

show abstract

Variabilidade espacial de propriedades de Latossolo e da produção de café em diferentes superfícies geomórficas

Cited by 19 publications

References 18 publications

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

Spatial distribution of physiological quality of Arábica coffee seeds to cultivate Catuai

Classificação numérica e modelo digital de elevação na caracterização espacial de atributos dos solos

Contact Info

Product

Resources

About