A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species

Detalhes bibliográficos
Autor(a) principal: Massignani, Caroline
Data de Publicação: 2021
Outros Autores: Vandresen, Bruna Búrigo, Marques, Júlia Vargas, Kazama, Ricardo, Osmari, Milene Puntel, Silva-Kazama, Daniele Cristina da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/18990
Resumo: Near-infrared spectroscopy (NIRS) is an efficient and chemical-free technique for quickly assessing forage quality. However, calibration curves are usually validated for the forage of a single species, while few studies have reported on the forage of multiple species. Therefore, this work aimed to develop a broad system of calibrating curves by NIRS to predict neutral detergent fiber (NDF), acid detergent fiber (ADF) and crude protein (CP) values from single and mixed forage. To accomplish this, single and mixed forage (32 forage species) were sampled over six years (2013 to 2019) from different regions of Santa Catarina state in southern Brazil. Forage samples were chemically analyzed for NDF, ADF and CP levels, followed by performing spectroscopy. Next, calibration curves were calculated as Second Derivative for NDF, First Derivative + Multiplicative Scattering Correction for ADF, and, Multiplicative Scattering Correction for CP. Approximately 200 sample forage, resulted in determination coefficient (R2) values of 0.94, 0.95, and 0.98 and validation values of 0.94, 0.95, and 0.97 for NDF, ADF, and CP, respectively. Thus, calibration curves were properly developed for quality assessment of single or mixed forage for multiple species, resulting in a chemical-free and time-saving tool for routine laboratory use.
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spelling A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple speciesCalibración única en espectroscopia de infrarrojo cercano para determinar la calidad de múltiples especies de forraje Calibração única em espectroscopia de infravermelho próximo para determinar a qualidade de múltiplas espécies de forragensFibraPastagemProteína brutaQuimiometriaRuminantes.ChemometricsCrude proteinFiberPastureRuminants.FibraPasturasProteína crudaQuimiometríaRumiantes.Near-infrared spectroscopy (NIRS) is an efficient and chemical-free technique for quickly assessing forage quality. However, calibration curves are usually validated for the forage of a single species, while few studies have reported on the forage of multiple species. Therefore, this work aimed to develop a broad system of calibrating curves by NIRS to predict neutral detergent fiber (NDF), acid detergent fiber (ADF) and crude protein (CP) values from single and mixed forage. To accomplish this, single and mixed forage (32 forage species) were sampled over six years (2013 to 2019) from different regions of Santa Catarina state in southern Brazil. Forage samples were chemically analyzed for NDF, ADF and CP levels, followed by performing spectroscopy. Next, calibration curves were calculated as Second Derivative for NDF, First Derivative + Multiplicative Scattering Correction for ADF, and, Multiplicative Scattering Correction for CP. Approximately 200 sample forage, resulted in determination coefficient (R2) values of 0.94, 0.95, and 0.98 and validation values of 0.94, 0.95, and 0.97 for NDF, ADF, and CP, respectively. Thus, calibration curves were properly developed for quality assessment of single or mixed forage for multiple species, resulting in a chemical-free and time-saving tool for routine laboratory use.La espectroscopia de infrarrojo cercano (NIRS) es una técnica eficiente y libre de químicos para la evaluación rápida de la calidad del forraje. Sin embargo, las curvas de calibración generalmente se validan para una sola especie forrajera y existen pocos estudios para forraje de múltiples especies. Así, el objetivo de este trabajo fue desarrollar una amplia curva de calibración utilizando la técnica NIRS para predecir los valores de fibra detergente neutra (FDN), fibra detergente ácida (FDA) y proteína cruda (PC) de forrajes simples e mixtas. Así, se muestrearon forrajes simples e mixtas (32 especies forrajeras) durante seis años (2013 a 2019) en diferentes regiones del estado de Santa Catarina, sur de Brasil. Las muestras de forraje se analizaron químicamente para determinar los niveles de FDN, FDA y PC y luego se leyeron los espectros en el espectrómetro. Para la calibración se utilizaron los tratamientos matemáticos Second derivative (FDN), First derivative + Multiplicative Scattering Correction (FDA), e Multiplicative scattering correction (PC). Con aproximadamente 200 muestras de pastos fue posible alcanzar valores de coeficiente de determinación (R2) para la calibración de 0.94%, 0.95% y 0.98% y para la validación de 0.94%, 0.95% y 0.97% para los parámetros FDN, FDA y PC, respectivamente. Las curvas de calibración se han desarrollado adecuadamente para evaluar la calidad de forrajes de múltiples especies (individuales o mixtas) y se pueden utilizar de forma rutinaria en el laboratorio sin productos químicos y como una herramienta de determinación rápida.A espectroscopia no infravermelho próximo (NIRS) é uma técnica eficiente e livre de produtos químicos para avaliação rápida da qualidade da forragem. Porém, as curvas de calibração geralmente são validadas para uma única espécie de forragem e, há poucos estudos para forragens de múltiplas espécies. Assim, o objetivo deste trabalho foi desenvolver uma curva ampla de calibração pela técnica NIRS para predizer os valores de fibra em detergente neutro (FDN), fibra em detergente ácido (FDA) e proteína bruta (PB) de forragens simples e consorciadas. Assim, forragens simples e consorciadas (32 espécies de forrageiras) foram amostradas ao longo de seis anos (2013 a 2019) em diferentes regiões do estado de Santa Catarina, sul do Brasil. Amostras das forragens foram analisadas quimicamente quanto aos níveis de FDN, FDA e PB e, em seguida, os espectros foram lidos no espectrômetro. Para a calibração foram utilizados os tratamentos matemáticos Second derivative (FDN), First derivative + Multiplicative Scattering Correction (FDA), e Multiplicative scattering correction (PB). Com aproximadamente 200 amostras de forragens foi possível se alcançar valores de coeficiente de determinação (R2) para a calibração de 0,94%, 0,95%, e 0,98% e para a validação de 0,94%, 0,95%, e 0,97% para os parâmetros FDN, FDA e PB, respectivamente. As curvas de calibração foram desenvolvidas adequadamente para avaliação da qualidade de forragens de múltiplas espécies (solteiras ou consorciadas) e podem ser usadas na rotina do laboratório sem produtos químicos e como uma ferramenta de rápida determinação.Research, Society and Development2021-08-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1899010.33448/rsd-v10i10.18990Research, Society and Development; Vol. 10 No. 10; e548101018990Research, Society and Development; Vol. 10 Núm. 10; e548101018990Research, Society and Development; v. 10 n. 10; e5481010189902525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/18990/17136Copyright (c) 2021 Caroline Massignani; Bruna Búrigo Vandresen; Júlia Vargas Marques; Ricardo Kazama; Milene Puntel Osmari; Daniele Cristina da Silva-Kazamahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMassignani, Caroline Vandresen, Bruna BúrigoMarques, Júlia Vargas Kazama, RicardoOsmari, Milene PuntelSilva-Kazama, Daniele Cristina da2021-10-02T21:49:16Zoai:ojs.pkp.sfu.ca:article/18990Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:38:59.484363Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
Calibración única en espectroscopia de infrarrojo cercano para determinar la calidad de múltiples especies de forraje
Calibração única em espectroscopia de infravermelho próximo para determinar a qualidade de múltiplas espécies de forragens
title A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
spellingShingle A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
Massignani, Caroline
Fibra
Pastagem
Proteína bruta
Quimiometria
Ruminantes.
Chemometrics
Crude protein
Fiber
Pasture
Ruminants.
Fibra
Pasturas
Proteína cruda
Quimiometría
Rumiantes.
title_short A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
title_full A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
title_fullStr A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
title_full_unstemmed A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
title_sort A single calibration of near-infrared spectroscopy to determine the quality of forage for multiple species
author Massignani, Caroline
author_facet Massignani, Caroline
Vandresen, Bruna Búrigo
Marques, Júlia Vargas
Kazama, Ricardo
Osmari, Milene Puntel
Silva-Kazama, Daniele Cristina da
author_role author
author2 Vandresen, Bruna Búrigo
Marques, Júlia Vargas
Kazama, Ricardo
Osmari, Milene Puntel
Silva-Kazama, Daniele Cristina da
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Massignani, Caroline
Vandresen, Bruna Búrigo
Marques, Júlia Vargas
Kazama, Ricardo
Osmari, Milene Puntel
Silva-Kazama, Daniele Cristina da
dc.subject.por.fl_str_mv Fibra
Pastagem
Proteína bruta
Quimiometria
Ruminantes.
Chemometrics
Crude protein
Fiber
Pasture
Ruminants.
Fibra
Pasturas
Proteína cruda
Quimiometría
Rumiantes.
topic Fibra
Pastagem
Proteína bruta
Quimiometria
Ruminantes.
Chemometrics
Crude protein
Fiber
Pasture
Ruminants.
Fibra
Pasturas
Proteína cruda
Quimiometría
Rumiantes.
description Near-infrared spectroscopy (NIRS) is an efficient and chemical-free technique for quickly assessing forage quality. However, calibration curves are usually validated for the forage of a single species, while few studies have reported on the forage of multiple species. Therefore, this work aimed to develop a broad system of calibrating curves by NIRS to predict neutral detergent fiber (NDF), acid detergent fiber (ADF) and crude protein (CP) values from single and mixed forage. To accomplish this, single and mixed forage (32 forage species) were sampled over six years (2013 to 2019) from different regions of Santa Catarina state in southern Brazil. Forage samples were chemically analyzed for NDF, ADF and CP levels, followed by performing spectroscopy. Next, calibration curves were calculated as Second Derivative for NDF, First Derivative + Multiplicative Scattering Correction for ADF, and, Multiplicative Scattering Correction for CP. Approximately 200 sample forage, resulted in determination coefficient (R2) values of 0.94, 0.95, and 0.98 and validation values of 0.94, 0.95, and 0.97 for NDF, ADF, and CP, respectively. Thus, calibration curves were properly developed for quality assessment of single or mixed forage for multiple species, resulting in a chemical-free and time-saving tool for routine laboratory use.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-18
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/18990
10.33448/rsd-v10i10.18990
url https://rsdjournal.org/index.php/rsd/article/view/18990
identifier_str_mv 10.33448/rsd-v10i10.18990
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/18990/17136
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 10; e548101018990
Research, Society and Development; Vol. 10 Núm. 10; e548101018990
Research, Society and Development; v. 10 n. 10; e548101018990
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052686245298176

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