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 t...
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| Format: | Article |
| Language: | English |
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Universidade de São Paulo
2019-12-01
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| Series: | Scientia Agricola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501601&tlng=en |
| _version_ | 1798015698801262592 |
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| author | Micael Felipe de Souza Henrique Coutinho Junqueira Franco Lucas Rios do Amaral |
| author_facet | Micael Felipe de Souza Henrique Coutinho Junqueira Franco Lucas Rios do Amaral |
| author_sort | Micael Felipe de Souza |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T15:38:56Z |
| format | Article |
| id | doaj.art-298f97812f504f48a708bb741f3b6648 |
| institution | Directory Open Access Journal |
| issn | 1678-992X |
| language | English |
| last_indexed | 2024-04-11T15:38:56Z |
| publishDate | 2019-12-01 |
| publisher | Universidade de São Paulo |
| record_format | Article |
| series | Scientia Agricola |
| spelling | doaj.art-298f97812f504f48a708bb741f3b66482022-12-22T04:15:53ZengUniversidade de São PauloScientia Agricola1678-992X2019-12-0177510.1590/1678-992x-2018-0295Estimation of soil phosphorus availability via visible and near-infrared spectroscopyMicael Felipe de Souzahttps://orcid.org/0000-0002-9089-6749Henrique Coutinho Junqueira Francohttps://orcid.org/0000-0002-1218-7533Lucas Rios do Amaralhttps://orcid.org/0000-0001-8071-4449ABSTRACT: 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501601&tlng=enpredictive modelingclassification modelprecision agriculturefractionation of phosphorussoil fertility |
| spellingShingle | Micael Felipe de Souza Henrique Coutinho Junqueira Franco Lucas Rios do Amaral Estimation of soil phosphorus availability via visible and near-infrared spectroscopy Scientia Agricola predictive modeling classification model precision agriculture fractionation of phosphorus soil fertility |
| title | 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_short | Estimation of soil phosphorus availability via visible and near-infrared spectroscopy |
| title_sort | estimation of soil phosphorus availability via visible and near infrared spectroscopy |
| topic | predictive modeling classification model precision agriculture fractionation of phosphorus soil fertility |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501601&tlng=en |
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