Variability of Soil Analysis in Commercial Laboratories: Implications for Lime and Fertilizer Recommendations

Cantarella, Heitor; Quaggio, J. A.; Raij, Bernardo van; Abreu, Mônica Ferreira de

doi:10.1080/00103620600817523

Cited by 31 publications

(21 citation statements)

References 6 publications

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“…The standard error was low, around 2. Cantarella et al [56] studied variations between laboratory analyses and concluded that a range of 20% would be acceptable. Demattê et al [57] used this type of comparison between laboratory and spectroscopy measurements and concluded that most results were within the indicated range.…”

Section: Prediction Models Of Soil Attributesmentioning

confidence: 99%

Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification

et al. 2016

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Abstract:The search for sustainable land use has increased in Brazil due to the important role that agriculture plays in the country. Soil detailed classification is related with texture attribute. How can one discriminate the same soil class with different textures using proximal soil sensing, as to reach surveys, land use planning and increase crop productivity? This study aims to evaluate soil texture using a regional spectral library and its usefulness on classification. We collected 3750 soil samples covering 3 million ha within strong soil class variations in São Paulo State. The spectral analyses of soil samples from topsoil and subsoil were measured in laboratory (400-2500 nm). The potential of a regional soil spectral library was evaluated on the discrimination of soil texture. We considered two types of soil texture systems, one related with soil classification and another with soil managements. The soil line technique was used to assess differentiation between soil textural groups. Soil spectra were summarized by principal component analysis (PCA) to select relevant information on the spectra. Partial least squares regression (PLSR) was used to predict texture. Spectral curves indicated different shapes according to soil texture and discriminated particle size classes from clayey to sandy soils. In the visible region, differences were small because of the organic matter, while the short wave infrared (SWIR) region showed more differences; thus, soil texture variation could be differentiated by quartz. Angulation differences are on a spectral curve from NIR to SWIR. The statistical models predicted clay and sand levels with R 2 = 0.93 and 0.96, respectively. Indeed, we achieved a difference of 1.2% between laboratory and spectroscopy measurement for clay. The spectral information was useful to classify Ferralsols with different texture classification. In addition, the spectra differentiated Lixisols from Ferralsols and Arenosols. This work can help the development of computer programs that allow soil texture classification and subsequent digital soil mapping at detailed scales. In addition, it complies with requirements for sustainable land use and soil management.

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Section: Prediction Models Of Soil Attributesmentioning

confidence: 99%

Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification

et al. 2016

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“…In Brazil, there are frequent misunderstandings laboratory, reaching ranges of 3-26% error in chemical analysis for determining macronutrients and 15-32% for analysis of grain size (CANTARELLA et al, 2006). It was found in the determination of hematite in sugarcane area, through the average particle diameter and density, that the MS was added 13.3% can explain the content of the hematite more than when it was performed regression without MS.…”

Section: Resultsmentioning

confidence: 98%

Magnetic susceptibility in the prediction of soil attributes in two sugarcane harvesting management systems

et al. 2013

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This study aimed to investigate the potential use of magnetic susceptibility (MS) as pedotransfer function to predict soil attributes under two sugarcane harvesting management systems. For each area of 1 ha (one with green sugarcane mechanized harvesting and other one with burnt sugarcane manual harvesting), 126 soil samples were collected and subjected to laboratory analysis to determine soil physical, chemical and mineralogical attributes and for measuring of MS. Data were submitted to descriptive statistics by calculating the mean and coefficient of variation. In order to compare the means in the different harvesting management systems it was carried out the Tukey test at a significance level of 5%. In order to investigate the correlation of the MS with other soil properties it was made the correlation test and aiming to assess how the MS contributes to the prediction of soil complex attributes it was made the multiple linear regressions. The results demonstrate that MS showed, in both sugarcane harvesting management systems, statistical correlation with chemical, physical and mineralogical soil attributes and it also showed potential to be used as pedotransfer function to predict attributes of the studied oxisol.KEYWORDS: pedotransfer, indirect quantification, oxisol. SUSCETIBILIDADE MAGNÉTICA NA PREDIÇÃO DE ATRIBUTOS DO SOLO EM DOIS SISTEMAS DE MANEJO NA COLHEITA DE CANA DE AÇÚCARRESUMO: O presente trabalho teve como objetivo investigar o potencial de uso da suscetibilidade magnética (SM) como componente da função de pedotransferência para predição de atributos do solo, sob dois sistemas de manejo na colheita de cana-de-açúcar. Para cada uma das duas áreas de 1 ha (uma com colheita mecanizada de cana crua e outra com colheita manual de cana queimada), foram coletadas 126 amostras de solo que foram submetidas às análises de laboratório, para determinação dos atributos físicos, químicos e mineralógicos do solo e para medição da SM. Os dados foram submetidos à estatística descritiva, calculando-se a média e o coeficiente de variação. Para comparar as médias nos diferentes sistemas de manejo, foi realizado o teste de Tukey, ao nível de significância de 5%. Foram realizados o teste de correlação simples para averiguar a correlação da SM com outros atributos do solo e a regressão múltipla linear a fim de avaliar o quanto a SM contribui para a predição de atributos complexos do solo. Os resultados demonstram que a SM apresentou, em ambos os sistemas de manejo de colheita da cana-de-açúcar, correlação estatística com atributos químicos, físicos e mineralógicos do solo e apresentou potencial para ser utilizada como componente da função de pedotransferência para predição de atributos do Latossolo estudado. PALAVRAS-CHAVE:pedotransferência, quantificação indireta, Latossolo.

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“…En la figura 5 se evidencia que los mapas elaborados con los grupos de 200 y 500 muestras presentan mayor semejanza al mapa de datos medidos para el contenido de arcilla en ambos horizontes. Cantarella et al (2006) afirman que la diferencia entre mapas para la determinación de una misma propiedad puede estar asociada a errores de muestreo, que son generalmente mayores que los errores derivados del análisis de suelos.…”

Section: Colombia Forestalunclassified

Evaluación De Textura Del Suelo Con Espectroscopía De Infrarrojo Cercano en Un Oxisol De Colombia

et al. 2016

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Técnicas como la espectroscopía de infrarrojo cercano (NIR) se pueden utilizar para identificarlas clases y propiedades de los suelos con buena precisión. El objetivo de este estudio fue calibrar modelos para predecir el contenido de arcilla, limo y arena de un Typic Hapludox por espectroscopia NIR. El estudio se realizó en la Estación Experimental de Carimagua situado en el municipio de Puerto Gaitán, Meta, Colombia. Se utilizó un diseño de red rígida, se tomaron 1200 muestras en una superficie aproximada de 5100 ha. La elaboración de los modelos se hizo mediante regresión por mínimos cuadrados parciales. Se obtuvieron modelos con baja representatividad para contenidos de arena y limo, con valores de R2 (0.41 y 0.34, respectivamente). El modelo para el contenido de arcilla mostró un alto R2 (0.76). Para la arcilla fue posible la elaboración de mapas digitales y espectro-digitales similares. Los resultados encontrados para el contenido de arcilla indican que los análisis de laboratorio se pueden sustituir, en gran parte, por los modelos espectrales. En el caso de la arena y el limo, sería conveniente mejorar el modelo para que, en el futuro, los análisis de laboratorio puedan ser sustituidos para esta clase de suelo.

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Variability of Soil Analysis in Commercial Laboratories: Implications for Lime and Fertilizer Recommendations

Cited by 31 publications

References 6 publications

Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification

Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification

Magnetic susceptibility in the prediction of soil attributes in two sugarcane harvesting management systems

Evaluación De Textura Del Suelo Con Espectroscopía De Infrarrojo Cercano en Un Oxisol De Colombia

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