Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs

Detalhes bibliográficos
Autor(a) principal: González-Fernández, Antonio
Data de Publicação: 2023
Outros Autores: Rallo, Pilar, Peres, António M., Pereira, J.A., Morales-Sillero, Ana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/29510
Resumo: Bactrocera oleae (Rossi), the olive fly, represent an important biotic factor in olive groves (Olea europaea L.) causing significant production losses. Ensuring effective management of this pest is of paramount importance to safeguard and uphold the quality and quantity of table olive production. The University of Seville’s (US) table olive breeding program has focused its attention on finding new cultivars that exhibit reduced susceptibility to the olive fly. This study attempted to develop predictive models to enable the selection of new genotypes that are less susceptible to the olive fly based on fresh fruit traits. An extensive analysis of fruit physical (weight, size, symmetry, color, and texture) and chemical traits (moisture, oil content, and phenolic compounds) was conducted to evaluate the fly’s preference in oviposition bioassays (multiple choice and no choice) among four genotypes (US-06-1388, US-06-194, ‘Hojiblanca’, and ‘Kalamon’), under controlled conditions. The oviposition bioassays revealed the higher susceptibility of genotype US-06-194 and the lower susceptibility of ‘Kalamon’. The predictive models incorporated physical traits such as, fruit weight, longitudinal diameter, symmetry, CIELAB color attributes (L*, a*, and b*), and compression hardness, as well as chemical traits such as moisture, and the contents of demethyloleuropein, oleuropein, rutin, and verbascoside. These traits consistently predicted the preference of B. oleae for certain fruits.
id RCAP_1305529c29422291bc83c5b87546256b
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/29510
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programsOlive fruitSelection toolsOlive flyOviposition preferenceBioassayBactrocera oleae (Rossi), the olive fly, represent an important biotic factor in olive groves (Olea europaea L.) causing significant production losses. Ensuring effective management of this pest is of paramount importance to safeguard and uphold the quality and quantity of table olive production. The University of Seville’s (US) table olive breeding program has focused its attention on finding new cultivars that exhibit reduced susceptibility to the olive fly. This study attempted to develop predictive models to enable the selection of new genotypes that are less susceptible to the olive fly based on fresh fruit traits. An extensive analysis of fruit physical (weight, size, symmetry, color, and texture) and chemical traits (moisture, oil content, and phenolic compounds) was conducted to evaluate the fly’s preference in oviposition bioassays (multiple choice and no choice) among four genotypes (US-06-1388, US-06-194, ‘Hojiblanca’, and ‘Kalamon’), under controlled conditions. The oviposition bioassays revealed the higher susceptibility of genotype US-06-194 and the lower susceptibility of ‘Kalamon’. The predictive models incorporated physical traits such as, fruit weight, longitudinal diameter, symmetry, CIELAB color attributes (L*, a*, and b*), and compression hardness, as well as chemical traits such as moisture, and the contents of demethyloleuropein, oleuropein, rutin, and verbascoside. These traits consistently predicted the preference of B. oleae for certain fruits.The authors would like to acknowledge the technical support received from Felipe Ignacio Rojas, Jose Manuel Rodríguez, Luis Felipe Pérez. We also thank the Foundation for Science and Technology (FCT, Portugal) for their financial support to CIMO (UIDB/00690/2020) and SusTEC (LA/P/0007/2020) through national funds FCT/MCTES.MDPIBiblioteca Digital do IPBGonzález-Fernández, AntonioRallo, PilarPeres, António M.Pereira, J.A.Morales-Sillero, Ana2024-02-16T15:09:31Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/29510engGonzález-Fernández, Antonio; Rallo, Pilar; Peres, António M.; Pereira, J.A.; Morales-Sillero, Ana (2023). Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs. Agronomy. ISSN 2073-4395. 13:12, p. 1-132073-439510.3390/agronomy13123050info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-21T01:19:31Zoai:bibliotecadigital.ipb.pt:10198/29510Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:39:17.112720Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
title Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
spellingShingle Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
González-Fernández, Antonio
Olive fruit
Selection tools
Olive fly
Oviposition preference
Bioassay
title_short Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
title_full Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
title_fullStr Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
title_full_unstemmed Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
title_sort Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs
author González-Fernández, Antonio
author_facet González-Fernández, Antonio
Rallo, Pilar
Peres, António M.
Pereira, J.A.
Morales-Sillero, Ana
author_role author
author2 Rallo, Pilar
Peres, António M.
Pereira, J.A.
Morales-Sillero, Ana
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv González-Fernández, Antonio
Rallo, Pilar
Peres, António M.
Pereira, J.A.
Morales-Sillero, Ana
dc.subject.por.fl_str_mv Olive fruit
Selection tools
Olive fly
Oviposition preference
Bioassay
topic Olive fruit
Selection tools
Olive fly
Oviposition preference
Bioassay
description Bactrocera oleae (Rossi), the olive fly, represent an important biotic factor in olive groves (Olea europaea L.) causing significant production losses. Ensuring effective management of this pest is of paramount importance to safeguard and uphold the quality and quantity of table olive production. The University of Seville’s (US) table olive breeding program has focused its attention on finding new cultivars that exhibit reduced susceptibility to the olive fly. This study attempted to develop predictive models to enable the selection of new genotypes that are less susceptible to the olive fly based on fresh fruit traits. An extensive analysis of fruit physical (weight, size, symmetry, color, and texture) and chemical traits (moisture, oil content, and phenolic compounds) was conducted to evaluate the fly’s preference in oviposition bioassays (multiple choice and no choice) among four genotypes (US-06-1388, US-06-194, ‘Hojiblanca’, and ‘Kalamon’), under controlled conditions. The oviposition bioassays revealed the higher susceptibility of genotype US-06-194 and the lower susceptibility of ‘Kalamon’. The predictive models incorporated physical traits such as, fruit weight, longitudinal diameter, symmetry, CIELAB color attributes (L*, a*, and b*), and compression hardness, as well as chemical traits such as moisture, and the contents of demethyloleuropein, oleuropein, rutin, and verbascoside. These traits consistently predicted the preference of B. oleae for certain fruits.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
2024-02-16T15:09:31Z
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://hdl.handle.net/10198/29510
url http://hdl.handle.net/10198/29510
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv González-Fernández, Antonio; Rallo, Pilar; Peres, António M.; Pereira, J.A.; Morales-Sillero, Ana (2023). Developing predictive models under controlled conditions for the selection of new genotypes that are less susceptible to Bactrocera oleae (Rossi) in table olive (Olea europaea L.) breeding programs. Agronomy. ISSN 2073-4395. 13:12, p. 1-13
2073-4395
10.3390/agronomy13123050
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137442807152640