Spectrophotometric color measurement in situ in well drained sandy soils

Barrett, Linda R.

doi:10.1016/s0016-7061(02)00121-0

Cited by 51 publications

(29 citation statements)

References 52 publications

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“…Once the samples are packed and ready for analysis, color measurement takes less than 1 min per sample with a duplicate measurement. However, transparent materials such as a protective cover and a plastic cell placed between the sensor of the colorimeter and a sample may affect the color measurements (Barrett 2002). So the possible error originating from using different transparent materials during calibration and sample measurement was evaluated.…”

Section: Establishment Of Procedures For Soil Color Analysis By Spad-503mentioning

confidence: 99%

Soil color analysis for statistically estimating total carbon, total nitrogen and active iron contents in Japanese agricultural soils

Moritsuka

Matsuoka

Katsura

et al. 2014

Soil Science and Plant Nutrition

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Soil color originates mainly from organic matter, iron mineralogy and moisture content. We aimed to find a suitable method to measure soil color sensitively and to evaluate the extent to which the color parameters can be useful for statistically estimating total carbon (C), total nitrogen (N) and active iron (Fe) contents in Japanese agricultural soils. A soil color reader (SPAD-503) was applied to two sample sets: (1) 100 surface soils collected throughout a 0.5-ha paddy field (field scale) and (2) 147 surface soils collected from agricultural fields in Japan (national scale). For analysis with this instrument, about 2 g of air-dried, finely-ground samples were packed firmly in a plastic cell, and their colors as they appeared on windows in both sides of the cell were measured. A CIE 1976 (L*, a*, b*) color space was used for color description. For the field-scale samples, the values of the coefficient of variation were around 15% for total C, total N and acid oxalate extractable iron (Fe o ). The L* value (lightness) was negatively correlated with the content of total C and total N (R 2 = 0.18** and 0.26**, respectively), and the b* value (yellowness) was positively correlated with the Fe o content (R 2 = 0.59**). For the national-scale samples, the values of the coefficient of variation were around 60% for total C, total N and Fe o . The L* value was negatively correlated with the content of total C and total N (R 2 = 0.70** and 0.59**, respectively), but the b* value was not correlated with the content of Fe o (R 2 = 0.00). When the analysis was limited to 65 samples frequently used for paddy fields, the b* value was positively correlated with the Fe o content (R 2 = 0.52**). In conclusion, the proposed method enabled us to measure soil color sensitively with a small sample size. The L* and b* values obtained can be useful for rapid estimation of total C, total N and Fe o contents in agricultural surface soils in Japan.

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Section: Establishment Of Procedures For Soil Color Analysis By Spad-503mentioning

confidence: 99%

Soil color analysis for statistically estimating total carbon, total nitrogen and active iron contents in Japanese agricultural soils

Moritsuka

Matsuoka

Katsura

et al. 2014

Soil Science and Plant Nutrition

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“…total phosphorus (Olsen method), organic carbon (Walkley-Black method), and Iron content (Dithionite citrate method). The sample preparation was carried out in order to remove uncertainty effects in lightness measurements due to water content and particle size of the samples (Barrett 2002;Sánchez-Marañón et al 2007;Torrent & Barrón 1993). The air-dried, crushed and sieved samples were transferred into measurement containers taking up all the available space before luminance measurements were executed.…”

Section: Methodsmentioning

confidence: 99%

Significance of Soil Lightness Versus Physicochemical Soil Properties in Semiarid Areas

Moreno-Ramón

Marqués-Mateu

Ibáñez-Asensio

2014

Arid Land Research and Management

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Modern agriculture aims to encompass all soil attributes to optimize soil use and minimize environmental impacts. One of those attributes is soil color, which allows determining important soil variables for crop management and soil conservation. In this study, the relationships between lightness and several pedologic, topographic and soil management variables were determined. One hundred and ten topsoil points were sampled in an area where the Mediterranean climate is the only homogeneous soil forming factor. Soil samples were air dried, crushed and sieved and lightness measurements were made using a trichromatic colorimeter. The relationships between lightness and soil-related parameters were carried out by means of bivariate linear correlation, and Mann-Witney and Kruskal-Wallis tests. Texture (sand and silt), electrical conductivity and carbonates were statistically significant (P<0.001) and exhibited moderate correlation coefficients (0.32-0.45). Topographic variables (slope and aspect), soil organic carbon, iron, nitrogen, pH and parent material (marls) exhibited lower effect on lightness. The response of lightness to clay content was highly conditioned by iron content. Stoniness, phosphorous, elevation and soil management variables (irrigation and land

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“…Color is one of the most apparent and most significant characteristics of soil, consistently used as a definitive criterion in the identification, classification and separation of soil (Sanchez-Maranon et al, 2004;Bhavanarayana, 2001). Because color is easily perceived in the field and is related to other soil properties, it has often been used as a rapid assessment indicator of such thing as drainage class, soil classification, and soil organic carbon which is affected to usage of variable rate fertilizer, pesticides application (Konen et al, 2003;Barrett, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…However, this method is semi quantitative, because it allows a subjective match of soil samples to the Munsell color chips (Konen et al, 2003;Barrett, 2002). Newer color systems, like those created by the Commission Internationale d'Enclairage (CIE) may be better suited to represent a uniform color space, that is, a color space where the Euclidean differences between colors are equivalent to the human perceptions of those differences (Melville and Atkinson, 1985;Scheinost and Schwertmann, 1999).…”

Section: Introductionmentioning

confidence: 99%

“…Newer color systems, like those created by the Commission Internationale d'Enclairage (CIE) may be better suited to represent a uniform color space, that is, a color space where the Euclidean differences between colors are equivalent to the human perceptions of those differences (Melville and Atkinson, 1985;Scheinost and Schwertmann, 1999). Barrett (2002) used spectrophotometer to quantify soil color in situ and reported that spectrophotometer provided a higher degree of precision. Some researcher used soil CIELAB color parameter to represent soil color and reported relationships between soil color parameter and soil properties (Sánchez-Marañón, 1997;Konen et al, 2003;Gunal et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Spatial variability of soil color parameters and soil properties in an alluvial soil

Akbaş¹

2014

Afr. J. Agric. Res.

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Spectrophotometric color measurement in situ in well drained sandy soils

Cited by 51 publications

References 52 publications

Soil color analysis for statistically estimating total carbon, total nitrogen and active iron contents in Japanese agricultural soils

Soil color analysis for statistically estimating total carbon, total nitrogen and active iron contents in Japanese agricultural soils

Significance of Soil Lightness Versus Physicochemical Soil Properties in Semiarid Areas

Spatial variability of soil color parameters and soil properties in an alluvial soil

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