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
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
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. |
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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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