Cokrigagem na estimativa dos teores de Ca e Mg em um Latossolo Vermelho distroférrico

Bottega, Eduardo Leonel; Silva, Samuel de Assis; Costa, Marcelo Marques; Bottega, Simone Priscila

doi:10.1590/s1806-66902011000400001

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…Similar results were obtained by Bottega et al (2011), who estimated the levels of Ca 2+ and Mg 2+ as a function of pH using cokriging in a Red Latosol. The authors found a strong spatial dependence between pH and Ca (DSD = 16.1%) and between pH and Mg (DSD = 15.8%), indicating the possibility of using pH to estimate Ca 2+ and Mg 2+ in unsampled sites in the study area, reducing the costs of sampling and laboratory measurements.…”

Section: Discussionsupporting

confidence: 84%

Spatial dependency and correlation of properties of soil cultivated with oil palm, Elaeis guineensis, in agroforestry systems in the eastern Brazilian Amazon

et al. 2018

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Geostatistics is a tool that can be used to produce maps with the distribution of nutrients essential for the development of plants. Therefore, the present study aimed to analyze the spatial variation in chemical attributes of soils under oil palm cultivation in agroforestry systems in the eastern Brazilian Amazon, and their spatial dependence pattern. Sixty spatially standardized and georeferenced soil samples were collected at each of three sampling sites (DU1, DU2, and DU3) at 0-20 cm depth. Evaluated soil chemical attributes were pH, Al3+, H+Al, K+, Ca2+, Mg2+, cation exchange capacity (CEC), P, and organic matter (OM). The spatial dependence of these variables was evaluated with a semivariogram analysis, adjusting three theoretical models (spherical, exponential, and Gaussian). Following analysis for spatial dependence structure, ordinary kriging was used to estimate the value of each attribute at non-sampled sites. Spatial correlation among the attributes was tested using cokriging of data spatial distribution. All variables showed spatial dependence, with the exception of pH, in one sampling site (DU3). Highest K+, Ca2+, Mg2+, and OM levels were found in the lower region of two sampling sites (DU1 and DU2). Highest levels of Al3+ and H+Al levels were observed in the lower region of sampling site DU3. Some variables were correlated, therefore cokriging proved to be efficient in estimating primary variables as a function of secondary variables. The evaluated attributes showed spatial dependence and correlation, indicating that geostatistics may contribute to the effective management of agroforestry systems with oil palm in the Amazon region.

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Section: Discussionsupporting

confidence: 84%

Spatial dependency and correlation of properties of soil cultivated with oil palm, Elaeis guineensis, in agroforestry systems in the eastern Brazilian Amazon

et al. 2018

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“…The cross-variograms showed intermediate range values, however in all analyzed situations the values were higher than those of the main variable, in the case of foliar P. This behavior was most evident for the species conilon, where the range increased by 61 m. These results corroborate those found by Bottega et al (2011) and Silva et al (2010), who claimed that the cross-variogram range values tend to rise in circumstances where the spatial continuity of the auxiliary variable is greater than the main variable. Table 4 shows the distribution classes of foliar P contents and the concentration of P-rem in the soils under study.…”

Section: Resultssupporting

confidence: 88%

Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties

Silva

Lima

2014

Rev. Bras. Ciênc. Solo

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SUMMARYInformation underlying analyses of coffee fertilization systems should consider both the soil and the nutritional status of plants. This study investigated the spatial relationship between phosphorus (P) levels in coffee plant tissues and soil chemical and physical properties. The study was performed using two arabica and one canephora coffee variety. Sampling grids were established in the areas, and the points georeferenced. The assessed properties of the soil were levels of available phosphorus (P-Mehlich), remaining phosphorus (P-rem) and particle size, and of the plant tissue, phosphorus levels (foliar P). The data were subjected to descriptive statistical analysis, correlation analysis, cluster analysis, and probability tests. Geostatistical and trend analyses were only performed for pairs of variables with significant linear correlation. The spatial variability for foliar P content was high for the variety Catuai and medium for the other evaluated plants. Unlike P-Mehlich, the variability in P-rem of the soil indicated the nutritional status of this nutrient in the plant.Index terms: coffee, remaining P, cokriging, geostatistics. RESUMO: ESTIMATIVA ESPACIAL DO FÓSFORO FOLIAR EM DIFERENTES ESPÉCIES DO GÊNERO COFFEA, COM BASE NAS PROPRIEDADES DO SOLOA análise dos sistemas de fertilização do cafeeiro deve envolver informações conjuntas de solo e do estado nutricional das plantas. Este trabalho objetivou estudar a relação espacial entre os teores de P do tecido vegetal de cafeeiros e os atributos químicos e físicos do solo. Este estudo foi realizado com duas variedades de café arábica e uma variedade de café conilon. Foram construídas grades amostrais nas áreas, sendo os pontos georreferenciados. Avaliaramse, do solo, os teores de P disponível (P-Mehlich) e de P remanescente (P-rem) e a granulometria, enquanto do tecido vegetal, os teores de P (P foliar). Os dados foram submetidos a: análise estatística descritiva, de correlação, análise de agrupamentos e testes de probabilidade. As análises de tendência e as geoestatísticas foram realizadas apenas para os pares de variáveis que apresentaram correlação linear significativa. A variabilidade espacial dos teores foliares de P é alta para a variedade Catuaí, sendo média para os demais cultivares avaliados. A variabilidade do P-rem do solo refletiu o estado nutricional quanto a esse nutriente na planta, o que não ocorreu com o P-Mehlich.Termos de indexação: café, P remanescente, cokrigagem, geoestatística.

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“…Pode-se, também, efetuar a interpolação por co-krigagem, a partir de estimativas de duas variáveis que se correlacionam (primária e secundária). Os dois processos podem ser descritos como métodos que minimizam a variância estimada por meio de análise de regressão, levando-se em conta a dependência entre os dados distribuídos no espaço (Trangmar et al, 1985;Bottega et al, 2011). Na tentativa de se estabelecer um indicador da qualidade química do solo, que venha a elucidar as possíveis causas de degradação das pastagens de Brachiaria decumbens, para o local estudado, a partir dos atributos da planta e do solo, este trabalho objetivou: a) analisar a variabilidade desses atributos e b) definir as correlações lineares e espaciais entre os atributos da planta e do solo.…”

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Produção de matéria seca da braquiária de acordo com os atributos químicos de um Latossolo em Selvíria, Mato Grosso do Sul

et al. 2013

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Dry matter production of braquiaria due to the chemical properties of an oxisol in Selvíria, Mato Grosso do Sul, BrazilRustic forages as the signal-grass are predominant in areas of Cerrado in extensive livestock systems that favor soil degradation. However, with time, not even these forages can have a good development in those areas. The objective of this study was to analyze the variability of plant and soil attributes; to define the linear and spatial correlations between signal-grass yield and the chemical attributes of the studied soil, and to evaluate, among the chemical attributes of the soil, which one that best explain the variability in this forage yield. The experiment was conducted in an area that had been under pasture for more than 30 years, belonging to UNESP -Ilha Solteira Campus, located in Selvíria -MS. A geostatistical grid was installed in an oxisol, for soil and plant data collection, with 121 sampling stations, consisted of eleven transections with 160 m width in the direction of the Cartesian axes. The dry mass yield Forrageiras rústicas, como as braquiárias, são predominantes na região do Cerrado, no sistema de pecuária extensiva, que favorece a degradação do solo. Entretanto, com o tempo, nem mesmo essas forrageiras conseguem bom desenvolvimento nessas áreas. O objetivo deste trabalho foi analisar a variabilidade dos atributos estudados da planta e do solo; definir as correlações lineares e espaciais entre a produtividade do capim-braquiária com os atributos químicos do solo pesquisado, e pesquisar, dentre os atributos químicos do solo, aquele que melhor se apresente para explicar a variabilidade da produtividade dessa forrageira. A pesquisa foi desenvolvida em uma área manejada com pastagem há 30 anos, na Fazenda de Ensino, Pesquisa e Extensão (FEPE) da Faculdade de Engenharia de Ilha Solteira -UNESP, em Selvíria -MS. Foi instalada a malha geoestatística num Latossolo Vermelho aluminoférrico, para a coleta de dados do solo e da planta, contendo 121 pontos amostrais, constituídos de 11 transeções, com 160 m de largura, na direção dos eixos cartesianos. A produção de massa de matéria seca de capim-braquiária foi baixa, apresentando alta variação. Os atributos MSr, N, PB, MO1, MO2, pHa1, pHa2, pHk1 e pHk2 não variaram aleatoriamente e apresentaram variabilidade dos dados entre baixa e alta, e seguiram padrões espaciais bem definidos, com alcances entre 17,7 e 162,9 m. Houve correlação linear significativa a 1% entre a MSr e o N, e entre MSr e a PB. A existência dos semivariogramas cruzados MSr=f(N) e MSr=f(PB) atestou que essa matéria seca pode ser estimada a partir dos dados do teor de nitrogênio foliar e proteína bruta dessa forrageira.Palavras-chave: fertilidade do solo, teor de N foliar, proteína bruta, agricultura de precisão, krigagem, Brachiaria decumbens.

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Cokrigagem na estimativa dos teores de Ca e Mg em um Latossolo Vermelho distroférrico

Cited by 9 publications

References 13 publications

Spatial dependency and correlation of properties of soil cultivated with oil palm, Elaeis guineensis, in agroforestry systems in the eastern Brazilian Amazon

Spatial dependency and correlation of properties of soil cultivated with oil palm, Elaeis guineensis, in agroforestry systems in the eastern Brazilian Amazon

Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties

Produção de matéria seca da braquiária de acordo com os atributos químicos de um Latossolo em Selvíria, Mato Grosso do Sul

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