An alternative method for identification of industrial tomato hybrids using NIRS

Detalhes bibliográficos
Autor(a) principal: Santana , Igor Galvão
Data de Publicação: 2022
Outros Autores: Brito, Annelisa Arruda de, Aguiar, Fernanda Campos de Oliveira, Campos, Luiz Fernandes Cardoso, Corrêa , Gilmarcos de Carvalho, Nascimento, Abadia dos Reis, Cunha Junior, Luís Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/13333
Resumo: The use of high productive-potential hybrids was one of the reasons for the increase in productivity in the agricultural segment of tomatoes for industrial processing. Thus, among the cultivars available on the market, in general, those that combine greater productivity with quality and that satisfy the needs of industries are chosen. In this context, the objective of this work was to evaluate the best time to implement near-infrared spectroscopy (NIRS) as an alternative method for identifying industrial tomato hybrids. Seeds from the hybrids: CRV8126, H9553, HMX4890, TPX28699 were used and 10 spectra were collected from a set of 20 seeds, from cotyledonary leaves of ten seedlings at 15 days after sowing (DAS) and from the true leaf of ten seedlings at 30 DAS. The results showed that the technique of spectroscopy in the near-infrared range, associated with multivariate analysis, allowed the discrimination of the studied hybrids. The phase in which the best results were obtained in the identification of each hybrid was in the seed, obtaining accuracy values above 90.00% and sensitivity of 100.00%, which proves the use of this instrumental technique on a portable scale for tomato hybrids with a high assertiveness rate.
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spelling An alternative method for identification of industrial tomato hybrids using NIRSAn alternative method for identification of industrial tomato hybrids using NIRSSpectroscopyPC-LDAPLS-DASolanum lycopersicum LNIRS, hybrid identification, PC-LDA, PLS-DA.The use of high productive-potential hybrids was one of the reasons for the increase in productivity in the agricultural segment of tomatoes for industrial processing. Thus, among the cultivars available on the market, in general, those that combine greater productivity with quality and that satisfy the needs of industries are chosen. In this context, the objective of this work was to evaluate the best time to implement near-infrared spectroscopy (NIRS) as an alternative method for identifying industrial tomato hybrids. Seeds from the hybrids: CRV8126, H9553, HMX4890, TPX28699 were used and 10 spectra were collected from a set of 20 seeds, from cotyledonary leaves of ten seedlings at 15 days after sowing (DAS) and from the true leaf of ten seedlings at 30 DAS. The results showed that the technique of spectroscopy in the near-infrared range, associated with multivariate analysis, allowed the discrimination of the studied hybrids. The phase in which the best results were obtained in the identification of each hybrid was in the seed, obtaining accuracy values above 90.00% and sensitivity of 100.00%, which proves the use of this instrumental technique on a portable scale for tomato hybrids with a high assertiveness rate.The use of high productive-potential hybrids was one of the reasons for the increase in productivity in the agricultural segment of tomatoes for industrial processing. Thus, among the cultivars available on the market, in general, those that combine greater productivity with quality and that satisfy the needs of industries are chosen. In this context, the objective of this work was to evaluate the best time to implement near-infrared spectroscopy (NIRS) as an alternative method for identifying industrial tomato hybrids. Seeds from the hybrids: CRV8126, H9553, HMX4890, TPX28699 were used and 10 spectra were collected from a set of 20 seeds, from cotyledonary leaves of ten seedlings at 15 days after sowing (DAS) and from the true leaf of ten seedlings at 30 DAS. The results showed that the technique of spectroscopy in the near-infrared range, associated with multivariate analysis, allowed the discrimination of the studied hybrids. The phase in which the best results were obtained in the identification of each hybrid was in the seed, obtaining accuracy values above 90.00% and sensitivity of 100.00%, which proves the use of this instrumental technique on a portable scale for tomato hybrids with a high assertiveness rate.Universidade Federal de Viçosa - UFV2022-06-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/1333310.13083/reveng.v30i1.13333Engineering in Agriculture; Vol. 30 No. Contínua (2022); 175-194Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 175-1942175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/13333/7371Copyright (c) 2022 Revista Engenharia na Agricultura - REVENGhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSantana , Igor GalvãoBrito, Annelisa Arruda de Aguiar, Fernanda Campos de Oliveira Campos, Luiz Fernandes CardosoCorrêa , Gilmarcos de Carvalho Nascimento, Abadia dos Reis Cunha Junior, Luís Carlos 2023-01-23T14:06:10Zoai:ojs.periodicos.ufv.br:article/13333Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-23T14:06:10Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv An alternative method for identification of industrial tomato hybrids using NIRS
An alternative method for identification of industrial tomato hybrids using NIRS
title An alternative method for identification of industrial tomato hybrids using NIRS
spellingShingle An alternative method for identification of industrial tomato hybrids using NIRS
Santana , Igor Galvão
Spectroscopy
PC-LDA
PLS-DA
Solanum lycopersicum L
NIRS, hybrid identification, PC-LDA, PLS-DA.
title_short An alternative method for identification of industrial tomato hybrids using NIRS
title_full An alternative method for identification of industrial tomato hybrids using NIRS
title_fullStr An alternative method for identification of industrial tomato hybrids using NIRS
title_full_unstemmed An alternative method for identification of industrial tomato hybrids using NIRS
title_sort An alternative method for identification of industrial tomato hybrids using NIRS
author Santana , Igor Galvão
author_facet Santana , Igor Galvão
Brito, Annelisa Arruda de
Aguiar, Fernanda Campos de Oliveira
Campos, Luiz Fernandes Cardoso
Corrêa , Gilmarcos de Carvalho
Nascimento, Abadia dos Reis
Cunha Junior, Luís Carlos
author_role author
author2 Brito, Annelisa Arruda de
Aguiar, Fernanda Campos de Oliveira
Campos, Luiz Fernandes Cardoso
Corrêa , Gilmarcos de Carvalho
Nascimento, Abadia dos Reis
Cunha Junior, Luís Carlos
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santana , Igor Galvão
Brito, Annelisa Arruda de
Aguiar, Fernanda Campos de Oliveira
Campos, Luiz Fernandes Cardoso
Corrêa , Gilmarcos de Carvalho
Nascimento, Abadia dos Reis
Cunha Junior, Luís Carlos
dc.subject.por.fl_str_mv Spectroscopy
PC-LDA
PLS-DA
Solanum lycopersicum L
NIRS, hybrid identification, PC-LDA, PLS-DA.
topic Spectroscopy
PC-LDA
PLS-DA
Solanum lycopersicum L
NIRS, hybrid identification, PC-LDA, PLS-DA.
description The use of high productive-potential hybrids was one of the reasons for the increase in productivity in the agricultural segment of tomatoes for industrial processing. Thus, among the cultivars available on the market, in general, those that combine greater productivity with quality and that satisfy the needs of industries are chosen. In this context, the objective of this work was to evaluate the best time to implement near-infrared spectroscopy (NIRS) as an alternative method for identifying industrial tomato hybrids. Seeds from the hybrids: CRV8126, H9553, HMX4890, TPX28699 were used and 10 spectra were collected from a set of 20 seeds, from cotyledonary leaves of ten seedlings at 15 days after sowing (DAS) and from the true leaf of ten seedlings at 30 DAS. The results showed that the technique of spectroscopy in the near-infrared range, associated with multivariate analysis, allowed the discrimination of the studied hybrids. The phase in which the best results were obtained in the identification of each hybrid was in the seed, obtaining accuracy values above 90.00% and sensitivity of 100.00%, which proves the use of this instrumental technique on a portable scale for tomato hybrids with a high assertiveness rate.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-23
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://periodicos.ufv.br/reveng/article/view/13333
10.13083/reveng.v30i1.13333
url https://periodicos.ufv.br/reveng/article/view/13333
identifier_str_mv 10.13083/reveng.v30i1.13333
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/13333/7371
dc.rights.driver.fl_str_mv Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 30 No. Contínua (2022); 175-194
Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 175-194
2175-6813
1414-3984
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
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