CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)

ABSTRACT The quantification of nutrient concentration in soils is important for the implementation of adequate fertilization strategies, and also to improve agricultural productivity. In recent decades, new instrumental methods have been developed, including the use of near infrared spectroscopy (NI...

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Autores principales: Ortega,Iris Lobos, Valenzuela,Marta Alfaro, Lagos,Josué Martínez, Andrades,Paula Pavez
Lenguaje:English
Publicado: Universidad de Concepción. Facultad de Agronomía, Facultad de Ingeniería Agricola y Facultad de Ciencias Veterinarias 2021
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-38902021000100032
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spelling oai:scielo:S0719-389020210001000322021-05-16CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)Ortega,Iris LobosValenzuela,Marta AlfaroLagos,Josué MartínezAndrades,Paula Pavez volcanic soil calibration model FT-NIRS mineral composition ABSTRACT The quantification of nutrient concentration in soils is important for the implementation of adequate fertilization strategies, and also to improve agricultural productivity. In recent decades, new instrumental methods have been developed, including the use of near infrared spectroscopy (NIRS). Although its potential has been recognized by soil scientists for a few decades, the use of NIRS for routine soil analysis has been, to the best of our knowledge, poorly developed in Chile. Calibration models were developed by partial least squares regression (PLSR). The objective of this study was to assess the use of NIRS for the determination of concentrations of Calcium, Magnesium, Phosphorus, Potassium, pH (water), organic matter, Sodium, exchangeable aluminum, ammonium and nitrate in volcanic soils of southern Chile. The coefficient of determination in the calibration obtained ranged from 0.79 to 0.95 and 0.79 to 0.89 in Andisols and Ultisols, respectively. The residual prediction deviation (RPD) values varied between 2.1 and 4.4 in Andisols, and between 2.2 and 3.1 in Ultisols. It was not possible to generate robust calibration models for Al Exch, Na and NH4 + in Andisols and Al Exch, Mg, NO3 - and Na in Ultisols. Although some of the models developed presented high R2, this methodology requires further validation, including a greater number of samples from a wider spatial distribution, covering a variety of climatic and agricultural conditions.info:eu-repo/semantics/openAccessUniversidad de Concepción. Facultad de Agronomía, Facultad de Ingeniería Agricola y Facultad de Ciencias VeterinariasChilean journal of agricultural & animal sciences v.37 n.1 20212021-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-38902021000100032en10.29393/chjaas37-4ccil40004
institution Scielo Chile
collection Scielo Chile
language English
topic volcanic soil
calibration model
FT-NIRS
mineral composition
spellingShingle volcanic soil
calibration model
FT-NIRS
mineral composition
Ortega,Iris Lobos
Valenzuela,Marta Alfaro
Lagos,Josué Martínez
Andrades,Paula Pavez
CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)
description ABSTRACT The quantification of nutrient concentration in soils is important for the implementation of adequate fertilization strategies, and also to improve agricultural productivity. In recent decades, new instrumental methods have been developed, including the use of near infrared spectroscopy (NIRS). Although its potential has been recognized by soil scientists for a few decades, the use of NIRS for routine soil analysis has been, to the best of our knowledge, poorly developed in Chile. Calibration models were developed by partial least squares regression (PLSR). The objective of this study was to assess the use of NIRS for the determination of concentrations of Calcium, Magnesium, Phosphorus, Potassium, pH (water), organic matter, Sodium, exchangeable aluminum, ammonium and nitrate in volcanic soils of southern Chile. The coefficient of determination in the calibration obtained ranged from 0.79 to 0.95 and 0.79 to 0.89 in Andisols and Ultisols, respectively. The residual prediction deviation (RPD) values varied between 2.1 and 4.4 in Andisols, and between 2.2 and 3.1 in Ultisols. It was not possible to generate robust calibration models for Al Exch, Na and NH4 + in Andisols and Al Exch, Mg, NO3 - and Na in Ultisols. Although some of the models developed presented high R2, this methodology requires further validation, including a greater number of samples from a wider spatial distribution, covering a variety of climatic and agricultural conditions.
author Ortega,Iris Lobos
Valenzuela,Marta Alfaro
Lagos,Josué Martínez
Andrades,Paula Pavez
author_facet Ortega,Iris Lobos
Valenzuela,Marta Alfaro
Lagos,Josué Martínez
Andrades,Paula Pavez
author_sort Ortega,Iris Lobos
title CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)
title_short CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)
title_full CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)
title_fullStr CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)
title_full_unstemmed CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)
title_sort chemical characterization of volcanic soils using near infrared spectroscopy (nirs)
publisher Universidad de Concepción. Facultad de Agronomía, Facultad de Ingeniería Agricola y Facultad de Ciencias Veterinarias
publishDate 2021
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-38902021000100032
work_keys_str_mv AT ortegairislobos chemicalcharacterizationofvolcanicsoilsusingnearinfraredspectroscopynirs
AT valenzuelamartaalfaro chemicalcharacterizationofvolcanicsoilsusingnearinfraredspectroscopynirs
AT lagosjosuemartinez chemicalcharacterizationofvolcanicsoilsusingnearinfraredspectroscopynirs
AT andradespaulapavez chemicalcharacterizationofvolcanicsoilsusingnearinfraredspectroscopynirs
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