Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning

Detalhes bibliográficos
Autor(a) principal: Fernandes, Thiago Feliph Silva [UNESP]
Data de Publicação: 2022
Outros Autores: Silva, Raíssa Vanessa de Oliveira, Freitas, Daniel Lucas Dantas de, Sanches, Alex Guimarães [UNESP], Silva, Maryelle Barros da [UNESP], Cunha Júnior, Luis Carlos, Lima, Kássio Gomes de, Teixeira, Gustavo Henrique de Almeida [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.compag.2021.106674
http://hdl.handle.net/11449/223178
Resumo: Papaya trees (Carica papaya L.) can bear female, hermaphrodite, and male flowers. However, only the hermaphrodite type produces elongate fruit required and appreciated by the consumer market. Sex type determination is carried out based on the plant phenotype after planting the seedlings, increasing the production costs. In this regard, the objective of this study was to verify the feasibility of using near infrared spectroscopy (NIR) as a non-destructive method for sexing papaya trees. The NIR spectra were collected using seeds and leaves of the respective seedlings of the cultivars ‘T2′, ‘Formosa’, and ‘Calimosa’ (Formosa group), and ‘THB’ and ‘Ouro’ (Solo group). By using the seeds, it was possible to obtain a F-score value of 0.81 for the external validation set applying the principal component analysis and quadratic discriminant analysis (PCA-QDA). By using the leaves, the F-score values was slightly lower (0.79) applying PCA and linear discriminant analysis (PCA-LDA). It was possible to use NIR spectroscopy associated with multivariate techniques as a non-destructive method to determine the sex types in papaya trees using both seeds and leaves of the seedlings.
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spelling Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learningCarica papaya LChemometricsPCA-LDAPCA-QDASexingPapaya trees (Carica papaya L.) can bear female, hermaphrodite, and male flowers. However, only the hermaphrodite type produces elongate fruit required and appreciated by the consumer market. Sex type determination is carried out based on the plant phenotype after planting the seedlings, increasing the production costs. In this regard, the objective of this study was to verify the feasibility of using near infrared spectroscopy (NIR) as a non-destructive method for sexing papaya trees. The NIR spectra were collected using seeds and leaves of the respective seedlings of the cultivars ‘T2′, ‘Formosa’, and ‘Calimosa’ (Formosa group), and ‘THB’ and ‘Ouro’ (Solo group). By using the seeds, it was possible to obtain a F-score value of 0.81 for the external validation set applying the principal component analysis and quadratic discriminant analysis (PCA-QDA). By using the leaves, the F-score values was slightly lower (0.79) applying PCA and linear discriminant analysis (PCA-LDA). It was possible to use NIR spectroscopy associated with multivariate techniques as a non-destructive method to determine the sex types in papaya trees using both seeds and leaves of the seedlings.Universidade Estadual Paulista (UNESP) Faculdade de Ciências Agrárias e Veterinárias (FCAV) Campus de Jaboticabal Departamento de Ciências da Produção Agrícola Via de Acesso Prof. Paulo Donato Castellane s/nUniversidade Federal do Rio Grande do Norte Instituto de Química Química Biológica e Quimiometria Departamento de Química, Lagoa NovaUniversidade Federal de Goiás (UFG) Escola de Agronomia Campus Samambaia. Departamento de horticultura. Av. Esperança s/nUniversidade Estadual Paulista (UNESP) Faculdade de Ciências Agrárias e Veterinárias (FCAV) Campus de Jaboticabal Departamento de Ciências da Produção Agrícola Via de Acesso Prof. Paulo Donato Castellane s/nUniversidade Estadual Paulista (UNESP)Química Biológica e QuimiometriaUniversidade Federal de Goiás (UFG)Fernandes, Thiago Feliph Silva [UNESP]Silva, Raíssa Vanessa de OliveiraFreitas, Daniel Lucas Dantas deSanches, Alex Guimarães [UNESP]Silva, Maryelle Barros da [UNESP]Cunha Júnior, Luis CarlosLima, Kássio Gomes deTeixeira, Gustavo Henrique de Almeida [UNESP]2022-04-28T19:49:04Z2022-04-28T19:49:04Z2022-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.compag.2021.106674Computers and Electronics in Agriculture, v. 193.0168-1699http://hdl.handle.net/11449/22317810.1016/j.compag.2021.1066742-s2.0-85122320370Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputers and Electronics in Agricultureinfo:eu-repo/semantics/openAccess2022-04-28T19:49:04Zoai:repositorio.unesp.br:11449/223178Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:17:15.668137Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
title Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
spellingShingle Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
Fernandes, Thiago Feliph Silva [UNESP]
Carica papaya L
Chemometrics
PCA-LDA
PCA-QDA
Sexing
title_short Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
title_full Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
title_fullStr Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
title_full_unstemmed Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
title_sort Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
author Fernandes, Thiago Feliph Silva [UNESP]
author_facet Fernandes, Thiago Feliph Silva [UNESP]
Silva, Raíssa Vanessa de Oliveira
Freitas, Daniel Lucas Dantas de
Sanches, Alex Guimarães [UNESP]
Silva, Maryelle Barros da [UNESP]
Cunha Júnior, Luis Carlos
Lima, Kássio Gomes de
Teixeira, Gustavo Henrique de Almeida [UNESP]
author_role author
author2 Silva, Raíssa Vanessa de Oliveira
Freitas, Daniel Lucas Dantas de
Sanches, Alex Guimarães [UNESP]
Silva, Maryelle Barros da [UNESP]
Cunha Júnior, Luis Carlos
Lima, Kássio Gomes de
Teixeira, Gustavo Henrique de Almeida [UNESP]
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Química Biológica e Quimiometria
Universidade Federal de Goiás (UFG)
dc.contributor.author.fl_str_mv Fernandes, Thiago Feliph Silva [UNESP]
Silva, Raíssa Vanessa de Oliveira
Freitas, Daniel Lucas Dantas de
Sanches, Alex Guimarães [UNESP]
Silva, Maryelle Barros da [UNESP]
Cunha Júnior, Luis Carlos
Lima, Kássio Gomes de
Teixeira, Gustavo Henrique de Almeida [UNESP]
dc.subject.por.fl_str_mv Carica papaya L
Chemometrics
PCA-LDA
PCA-QDA
Sexing
topic Carica papaya L
Chemometrics
PCA-LDA
PCA-QDA
Sexing
description Papaya trees (Carica papaya L.) can bear female, hermaphrodite, and male flowers. However, only the hermaphrodite type produces elongate fruit required and appreciated by the consumer market. Sex type determination is carried out based on the plant phenotype after planting the seedlings, increasing the production costs. In this regard, the objective of this study was to verify the feasibility of using near infrared spectroscopy (NIR) as a non-destructive method for sexing papaya trees. The NIR spectra were collected using seeds and leaves of the respective seedlings of the cultivars ‘T2′, ‘Formosa’, and ‘Calimosa’ (Formosa group), and ‘THB’ and ‘Ouro’ (Solo group). By using the seeds, it was possible to obtain a F-score value of 0.81 for the external validation set applying the principal component analysis and quadratic discriminant analysis (PCA-QDA). By using the leaves, the F-score values was slightly lower (0.79) applying PCA and linear discriminant analysis (PCA-LDA). It was possible to use NIR spectroscopy associated with multivariate techniques as a non-destructive method to determine the sex types in papaya trees using both seeds and leaves of the seedlings.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28T19:49:04Z
2022-04-28T19:49:04Z
2022-02-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.compag.2021.106674
Computers and Electronics in Agriculture, v. 193.
0168-1699
http://hdl.handle.net/11449/223178
10.1016/j.compag.2021.106674
2-s2.0-85122320370
url http://dx.doi.org/10.1016/j.compag.2021.106674
http://hdl.handle.net/11449/223178
identifier_str_mv Computers and Electronics in Agriculture, v. 193.
0168-1699
10.1016/j.compag.2021.106674
2-s2.0-85122320370
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers and Electronics in Agriculture
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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