Estimation of soil phosphorus availability via visible and near-infrared spectroscopy

ABSTRACT: Spectroscopic techniques have great potential to evaluate soil properties. However, there are still questions regarding the applicability of spectroscopy to analyze soil phosphorous (P) availability, especially in tropical soils with low nutrient contents. Therefore, this study evaluated the possibility to estimate P availability in soil and its pools (labile, moderately labile and non-labile) via Vis-NIR spectroscopy based on intra-field calibration. We used soils from two different locations, a plot experiment that received application of phosphate fertilizers (Field-A) and a cultivated field where a grid soil sampling was performed (Field-B). We used the technique of diffuse reflectance in the visible and near-infrared (Vis-NIR) to obtain the spectra of soil samples. Predictive modeling for P availability and labile, moderately labile and non-labile pools of P in soil were obtained via partial least squares (PLS) regression; classification modeling was performed via Soft Independent Modeling of Class Analogy (SIMCA) on three P availability levels in order to overcome the limitation on quantifying P via Vis-NIR spectroscopy. We found that isolating P contents as the only variable (Field-A), Vis-NIR spectroscopy does not allow estimating P pools in the soil. In addition, quantification of P available in the soil via predictive modeling has limitations in tropical soils. On the other hand, estimating P content in soil through classes of availability is a feasible and promising alternative.

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Main Authors: Souza,Micael Felipe de, Franco,Henrique Coutinho Junqueira, Amaral,Lucas Rios do
Format: Digital revista
Language:English
Published: Escola Superior de Agricultura "Luiz de Queiroz" 2020
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501601
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spelling oai:scielo:S0103-901620200005016012019-12-12Estimation of soil phosphorus availability via visible and near-infrared spectroscopySouza,Micael Felipe deFranco,Henrique Coutinho JunqueiraAmaral,Lucas Rios do predictive modeling classification model precision agriculture fractionation of phosphorus soil fertility ABSTRACT: Spectroscopic techniques have great potential to evaluate soil properties. However, there are still questions regarding the applicability of spectroscopy to analyze soil phosphorous (P) availability, especially in tropical soils with low nutrient contents. Therefore, this study evaluated the possibility to estimate P availability in soil and its pools (labile, moderately labile and non-labile) via Vis-NIR spectroscopy based on intra-field calibration. We used soils from two different locations, a plot experiment that received application of phosphate fertilizers (Field-A) and a cultivated field where a grid soil sampling was performed (Field-B). We used the technique of diffuse reflectance in the visible and near-infrared (Vis-NIR) to obtain the spectra of soil samples. Predictive modeling for P availability and labile, moderately labile and non-labile pools of P in soil were obtained via partial least squares (PLS) regression; classification modeling was performed via Soft Independent Modeling of Class Analogy (SIMCA) on three P availability levels in order to overcome the limitation on quantifying P via Vis-NIR spectroscopy. We found that isolating P contents as the only variable (Field-A), Vis-NIR spectroscopy does not allow estimating P pools in the soil. In addition, quantification of P available in the soil via predictive modeling has limitations in tropical soils. On the other hand, estimating P content in soil through classes of availability is a feasible and promising alternative.info:eu-repo/semantics/openAccessEscola Superior de Agricultura "Luiz de Queiroz"Scientia Agricola v.77 n.5 20202020-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501601en10.1590/1678-992x-2018-0295
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Souza,Micael Felipe de
Franco,Henrique Coutinho Junqueira
Amaral,Lucas Rios do
spellingShingle Souza,Micael Felipe de
Franco,Henrique Coutinho Junqueira
Amaral,Lucas Rios do
Estimation of soil phosphorus availability via visible and near-infrared spectroscopy
author_facet Souza,Micael Felipe de
Franco,Henrique Coutinho Junqueira
Amaral,Lucas Rios do
author_sort Souza,Micael Felipe de
title Estimation of soil phosphorus availability via visible and near-infrared spectroscopy
title_short Estimation of soil phosphorus availability via visible and near-infrared spectroscopy
title_full Estimation of soil phosphorus availability via visible and near-infrared spectroscopy
title_fullStr Estimation of soil phosphorus availability via visible and near-infrared spectroscopy
title_full_unstemmed Estimation of soil phosphorus availability via visible and near-infrared spectroscopy
title_sort estimation of soil phosphorus availability via visible and near-infrared spectroscopy
description ABSTRACT: Spectroscopic techniques have great potential to evaluate soil properties. However, there are still questions regarding the applicability of spectroscopy to analyze soil phosphorous (P) availability, especially in tropical soils with low nutrient contents. Therefore, this study evaluated the possibility to estimate P availability in soil and its pools (labile, moderately labile and non-labile) via Vis-NIR spectroscopy based on intra-field calibration. We used soils from two different locations, a plot experiment that received application of phosphate fertilizers (Field-A) and a cultivated field where a grid soil sampling was performed (Field-B). We used the technique of diffuse reflectance in the visible and near-infrared (Vis-NIR) to obtain the spectra of soil samples. Predictive modeling for P availability and labile, moderately labile and non-labile pools of P in soil were obtained via partial least squares (PLS) regression; classification modeling was performed via Soft Independent Modeling of Class Analogy (SIMCA) on three P availability levels in order to overcome the limitation on quantifying P via Vis-NIR spectroscopy. We found that isolating P contents as the only variable (Field-A), Vis-NIR spectroscopy does not allow estimating P pools in the soil. In addition, quantification of P available in the soil via predictive modeling has limitations in tropical soils. On the other hand, estimating P content in soil through classes of availability is a feasible and promising alternative.
publisher Escola Superior de Agricultura "Luiz de Queiroz"
publishDate 2020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501601
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