Publication
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
| dc.contributor.author | González-Fernández, Antonio | |
| dc.contributor.author | Rallo, Pilar | |
| dc.contributor.author | Peres, António M. | |
| dc.contributor.author | Pereira, J.A. | |
| dc.contributor.author | Morales-Sillero, Ana | |
| dc.date.accessioned | 2024-02-16T15:09:31Z | |
| dc.date.available | 2024-02-16T15:09:31Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | 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. | pt_PT |
| dc.description.sponsorship | 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. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | 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 | pt_PT |
| dc.identifier.doi | 10.3390/agronomy13123050 | pt_PT |
| dc.identifier.issn | 2073-4395 | |
| dc.identifier.uri | http://hdl.handle.net/10198/29510 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | Mountain Research Center | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Olive fruit | pt_PT |
| dc.subject | Selection tools | pt_PT |
| dc.subject | Olive fly | pt_PT |
| dc.subject | Oviposition preference | pt_PT |
| dc.subject | Bioassay | pt_PT |
| dc.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 | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 13 | pt_PT |
| oaire.citation.issue | 12 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | Agronomy | pt_PT |
| oaire.citation.volume | 13 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Peres | |
| person.familyName | Pereira | |
| person.givenName | António M. | |
| person.givenName | José Alberto | |
| person.identifier | 107333 | |
| person.identifier.ciencia-id | CF16-5443-F420 | |
| person.identifier.ciencia-id | 611F-80B2-A7C1 | |
| person.identifier.orcid | 0000-0001-6595-9165 | |
| person.identifier.orcid | 0000-0002-2260-0600 | |
| person.identifier.rid | I-8470-2012 | |
| person.identifier.rid | L-6798-2014 | |
| person.identifier.scopus-author-id | 7102331969 | |
| person.identifier.scopus-author-id | 57204366348 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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