Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
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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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 |
|
_version_ |
1808129046497722368 |