An alternative method for identification of industrial tomato hybrids using NIRS
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
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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Engenharia na Agricultura |
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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 |
_version_ |
1800211147333304320 |