Variabilidade espacial de cálcio, magnésio, fósforo, potássio no solo e produtividade da pimenta-do-reino

Santos, Eduardo Oliveira de Jesus; Gontijo, Ivoney; Nicole, Lucas Rodrigues

doi:10.1590/s1415-43662012001000005

Cited by 4 publications

(6 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The high CVs observed for aluminum can be explained by the non-normal distribution of the data. Similar results were found for H + Al and V in a humic Yellow-Red Latosol , for H + Al and Al in typical dystrophic Red-Yellow Latosol (Santos et al, 2014) and for the productivity of a black pepper crop (Santos et al, 2012 The spatial dependence index was classified as moderate (SDI between 25 and 75%) for the pH, H + Al, T and LN parameters and was classified as strong (SDI < 25%) for Al, V and black pepper productivity. The lower the ratio of the nugget effect relative to the semivariogram sill was, the higher the spatial dependence presented by the studied parameters.…”

Section: Gsupporting

confidence: 75%

“…Precision agriculture is widely implemented, particularly for soil fertility management. The correlation between productivity maps and soil attributes has allowed for more precise and strategic crop management decisions (Zucoloto et al, 2011) and may decrease the environmental impacts (Gontijo et al, 2012). Therefore, geostatistics is an important tool for analyzing the spatial distribution of soil characteristics.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determination of homogeneous zones for liming recommendations of black pepper using geostatistics

Gontijo

Santos

Partelli

et al. 2016

Rev. bras. eng. agríc. ambient.

Self Cite

View full text Add to dashboard Cite

A B S T R A C TStudies aimed at determining homogeneous zones and the spatial variability of soil characteristics may improve the efficiency of agricultural input applications. The purpose of this study was to determine homogeneous zones for liming applications and to characterize the spatial variability of characteristics related to soil acidity and productivity in an Oxisol cultivated with black pepper (Piper nigrum L.). This study was carried out in São Mateus, state of Espírito Santo, Brazil. The experimental site was 100 x 120 m. A grid with 126 sampling points was established. Three soil sub-samples were collected at each sampling point in the black pepper canopy areas, at a 0-0.20 m depth. Crop productivity was estimated by harvesting the three plants neighboring each sampling point. Descriptive statistics and geostatistical analyses were performed. Homogeneous management zones were defined based on map of liming needs. Mathematical models adjusted to semivariograms indicated that all of the studied variables exhibited spatial dependency. An analysis of the spatial variability together with the definition of homogeneous zones can be used to increase the efficiency of soil liming.Zonas homogêneas para recomendação de calagem para pimenta-do-reino utilizando a geoestatística R E S U M O Objetivou-se, no presente estudo, caracterizar a variabilidade espacial dos atributos relacionados à acidez do solo, a necessidade de calagem e a produtividade de pimenta-doreino sob um Latossolo Amarelo. O estudo foi realizado em uma lavoura de pimenta-doreino, no município de São Mateus, ES. A área experimental possui dimensões de 100 x 120 m na qual demarcou-se uma malha com 126 pontos. Em cada ponto amostral foram coletadas três subamostras de solo na projeção da copa da pimenteira-do-reino compondo uma amostra na profundidade de 0-0,20 m. A produtividade da lavoura foi estimada por meio da colheita das três plantas circunvizinhas a cada ponto amostral. Os resultados obtidos foram submetidos à análise da estatística descritiva e à análise geoestatística. O mapa da necessidade de calagem possibilitou a delimitação das zonas homogêneas de taxas de calcário a serem aplicadas ao solo. Os modelos matemáticos ajustados aos semivariogramas demonstraram que todas as variáveis em estudo apresentaram estrutura de dependência espacial. O conhecimento da variabilidade espacial associada à definição de zonas homogêneas pode ser usado para aumentar a eficiência de aplicação de calcário.

show abstract

Section: Gsupporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Determination of homogeneous zones for liming recommendations of black pepper using geostatistics

Gontijo

Santos

Partelli

et al. 2016

Rev. bras. eng. agríc. ambient.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The differences found indicate that the use of different doses of soil amendments, sub-dividing the area into management units, optimizes the use of agricultural inputs and, consequently, increases the crop yield. The definition of soil management units, which represent homogeneous regions regarding soil attributes that affect plant development, is one of the most challenging stages in precision agriculture (Santos et al, 2012). The developed maps denoted, in general, favorable conditions for plant development.…”

Section: Resultsmentioning

confidence: 99%

“…Geostatistical studies using semivariograms have shown spatial dependence of soil micronutrients. Kriging is an adequate method to evaluate spatial distribution of the nutrients through mapping, as used by Gontijo et al (2012).…”

Section: Introductionmentioning

confidence: 99%

Variability and spatial correlation of soil micronutrients and organic matter with macadamia nut production

Paris

Gontijo

Partelli

et al. 2020

Rev. bras. eng. agríc. ambient.

Self Cite

View full text Add to dashboard Cite

Soil fertility is the key to agricultural production. The spatial correlation and location of nutrients may significantly affect the yields. The objective of this work was to evaluate the variability and spatial correlation of iron (Fe), copper (Cu), manganese (Mn), zinc (Zn), and organic matter (OM) with macadamia nut yield. The study was conducted in an Oxisol cultivated for 20 years with macadamia nut in São Mateus, state of Espírito Santo, Brazil. A 100 point grid was used comprising an area of 144 × 140 m with a minimum distance between points of 5 m, in which a single composite soil sample was collected from 0-0.20 m layer for chemical analysis of Fe, Cu, Mn, Zn and OM. Nuts under the canopy’s projection were harvested from February to June, 2015. The data were evaluated by geostatistical analysis using semivariograms, and kriging was used to map spatial distributions of nutrients and nut yield. All evaluated attributes showed strong or moderate spatial dependence structure. The OM was correlated positively with micronutrients, but only Zn was positively correlated with nut yield. Crossed semivariograms adequately explained the maps of Zn and Mn; and Fe showed opposite tendency for macadamia nut yield.

show abstract

“…Nesse sentido, a caracterização do solo por meio de seus atributos químicos e físicos apresenta inúmeras aplicações e são estudados com diferentes abordagens, tais como avaliação do efeito da curvatura do terreno sobre a variabilidade espacial de atributos físicos (CAMARGO; MARQUES JÚNIOR; PEREIRA, 2010), variabilidade espacial e planejamento de planos de amostragem (ZANÃO JÚNIOR et al, 2010), relação entre atributos físicos do solo e produtividade de culturas (CHIODEROLI et al, 2012;RODRIGUES et al, 2012;WEIRICH NETO et al, 2006), estudos sobre perda de solo em bacias hidrográficas (SILVA et al, 2008) O uso da Geoestatística implica na definição de um plano de amostragem, para o qual define-se número e espaçamento dos pontos onde as amostras serão coletadas. Na literatura essa definição varia muito, conforme estudos de Alves et al (2011), Santos et al (2012a, Santos et al (2012b), Oliveira Junior et al (2011) e Bottega et al (2013, que usaram 28; 36; 126; 135 e 181 pontos, respectivamente, no estudo de diversos atributos físicos e químicos do solo, tais como: condutividade hidráulica, densidade do solo, porosidade, textura, frações granulométricas areia, argila e silte, teores de cálcio, magnésio e fósforo.…”

Section: Introductionunclassified

Spatial variability of the physical attributes of soil under pasture

Guimarães

Gripp

Marques

et al. 2016

Revista Ciência Agronômica

View full text Add to dashboard Cite

RESUMO -O objetivo desse trabalho foi avaliar a variabilidade espacial de atributos físicos do solo para áreas de Latossolo, Argissolo e Cambissolo ocupadas por pastagens. O conhecimento dessa variabilidade é importante, pois ela influencia a qualidade das pastagens e a recarga de água subterrânea. Foram coletadas 154 amostras georreferenciadas para cada área de estudo. Para analisar os dados foi usada a estatística descritiva e a geoestatística. A dependência espacial ocorreu para a maioria dos atributos físicos: condutividade hidráulica em solo saturado e densidade do solo para as três classes de solos; microporosidade, macroporosidade e porosidade total para as áreas de Cambissolo e Latossolo. Os resultados da estatística descritiva e o fato do padrão da dependência espacial não ter se mantido constante indicam que as classes de solo, juntamente com a declividade e o uso da terra influenciaram a variabilidade espacial dos atributos físicos do solo analisadas e que a média não é suficiente para representar a distribuição espacial das variáveis analisadas. A malha de amostragem usada é adequada, pois permitiu captar a dependência espacial da maioria das variáveis analisadas.Palavras-chave: Física do solo. Uso da terra. Geoestatística. ABSTRACT -The aim of this work was to evaluate the spatial variability of the physical attributes of the soil in areas of a Latosol, Argisol and Cambisol under pasture. Knowledge of such variability is important, as it influences the quality of the pasture and groundwater recharge. For each study area, 154 georeferenced samples were collected. To analyse the data both descriptive statistics and geostatistics were used. Spatial dependence was seen for most of the physical attributes; saturated hydraulic conductivity and bulk density for the three soil classes; and microporosity, macroporosity and total porosity in the areas of Cambisol and Latosol. The results of the descriptive statistics, and the fact that the pattern of spatial dependence did not remain constant, show that the class of soil, together with the slope and land use, influenced the spatial variability of the physical attributes of the soil being analysed, and that an average value is not enough to represent the spatial distribution of the analysed variables. The sample grid that was used is adequate, making it possible to capture the spatial dependence of most of the variables being analysed.

show abstract

Variabilidade espacial de cálcio, magnésio, fósforo, potássio no solo e produtividade da pimenta-do-reino

Cited by 4 publications

References 16 publications

Determination of homogeneous zones for liming recommendations of black pepper using geostatistics

Determination of homogeneous zones for liming recommendations of black pepper using geostatistics

Variability and spatial correlation of soil micronutrients and organic matter with macadamia nut production

Spatial variability of the physical attributes of soil under pasture

Contact Info

Product

Resources

About