A fruit growth approach to estimate oil content in olives

Harvest timing in olive orchards has a strong effect on the quality and quantity of oil yield, but many farmers still lack simple and affordable quantitative tools for rationally deciding appropriate harvest dates. This study presents and tests a conceptual model for predicting fruit oil content (Of...

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Autores: López-Bernal, Álvaro, Fernandes Silva, A. A., Vega Macías, Victorino, Hidalgo Moya, Juan Carlos, León, Lorenzo, Testi, Luca, Villalobos, Francisco J.
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2021
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/267724
Acesso em linha:http://hdl.handle.net/10261/267724
Access Level:Acceso aberto
Palavra-chave:Cultivar variability
Fruit growth and development
Crop modelling
Oil accumulation
Olea europaea L.
id ES_bacb5f73d75b4d8091bc7e453e2e0da3
oai_identifier_str oai:digital.csic.es:10261/267724
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv A fruit growth approach to estimate oil content in olives
title A fruit growth approach to estimate oil content in olives
spellingShingle A fruit growth approach to estimate oil content in olives
López-Bernal, Álvaro
Cultivar variability
Fruit growth and development
Crop modelling
Oil accumulation
Olea europaea L.
title_short A fruit growth approach to estimate oil content in olives
title_full A fruit growth approach to estimate oil content in olives
title_fullStr A fruit growth approach to estimate oil content in olives
title_full_unstemmed A fruit growth approach to estimate oil content in olives
title_sort A fruit growth approach to estimate oil content in olives
dc.creator.none.fl_str_mv López-Bernal, Álvaro
Fernandes Silva, A. A.
Vega Macías, Victorino
Hidalgo Moya, Juan Carlos
León, Lorenzo
Testi, Luca
Villalobos, Francisco J.
author López-Bernal, Álvaro
author_facet López-Bernal, Álvaro
Fernandes Silva, A. A.
Vega Macías, Victorino
Hidalgo Moya, Juan Carlos
León, Lorenzo
Testi, Luca
Villalobos, Francisco J.
author_role author
author2 Fernandes Silva, A. A.
Vega Macías, Victorino
Hidalgo Moya, Juan Carlos
León, Lorenzo
Testi, Luca
Villalobos, Francisco J.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Fundação para a Ciência e a Tecnologia (Portugal)
Junta de Andalucía
Ministério da Agricultura, do Desenvolvimento Rural e das Pescas (Portugal)
Consejo Superior de Investigaciones Científicas (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Cultivar variability
Fruit growth and development
Crop modelling
Oil accumulation
Olea europaea L.
topic Cultivar variability
Fruit growth and development
Crop modelling
Oil accumulation
Olea europaea L.
description Harvest timing in olive orchards has a strong effect on the quality and quantity of oil yield, but many farmers still lack simple and affordable quantitative tools for rationally deciding appropriate harvest dates. This study presents and tests a conceptual model for predicting fruit oil content (Of, g oil fruit−1) from inexpensive measurements of fruit dry weight (wf). The model presents two physiologically relevant parameters, the fruit dry weight at the onset of the oil accumulation phase (wf0) and the ratio of accumulated oil per unit of fruit dry weight increase during the oil accumulation period (β), the latter assumed invariable throughout ripening. A compilation of data on wf and Of dynamics collected from four experiments including six olive cultivars and contrasting conditions of water supply and crop load was used to test the model. Our results suggest that β could be fairly independent of crop load or watering regime and, probably, genetically controlled. By contrast, wf0 is clearly affected by both the cultivar and the availability of assimilates for fruit growth preceding oil accumulation, which makes it orchard- and year-specific. According to those premises, once cultivar-specific β values are available wf0 could be easily calibrated by either a single determination of Of and wf at any time during the oil accumulation phase (Approach A) or by directly measuring wf0 if the date for the onset of oil accumulation can be estimated (Approach B). Validation tests with an independently calibrated β showed an excellent performance for reproducing Of patterns from wf data using Approach A. Approach B satisfactory predicted oil accumulation rates, but absolute estimates of Of were less reliable. Regardless of the calibration approach, the model is easy to implement and has a minimal cost, which satisfies the demand for inexpensive tools for monitoring oil accumulation dynamics.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/267724
url http://hdl.handle.net/10261/267724
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO//FJCI-2015-24109
info:eu-repo/grantAgreement/MINECO//AGL2015-69822-R
http://dx.doi.org/10.1016/j.eja.2020.126206
Sí
dc.rights.none.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 Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling A fruit growth approach to estimate oil content in olivesLópez-Bernal, ÁlvaroFernandes Silva, A. A.Vega Macías, VictorinoHidalgo Moya, Juan CarlosLeón, LorenzoTesti, LucaVillalobos, Francisco J.Cultivar variabilityFruit growth and developmentCrop modellingOil accumulationOlea europaea L.Harvest timing in olive orchards has a strong effect on the quality and quantity of oil yield, but many farmers still lack simple and affordable quantitative tools for rationally deciding appropriate harvest dates. This study presents and tests a conceptual model for predicting fruit oil content (Of, g oil fruit−1) from inexpensive measurements of fruit dry weight (wf). The model presents two physiologically relevant parameters, the fruit dry weight at the onset of the oil accumulation phase (wf0) and the ratio of accumulated oil per unit of fruit dry weight increase during the oil accumulation period (β), the latter assumed invariable throughout ripening. A compilation of data on wf and Of dynamics collected from four experiments including six olive cultivars and contrasting conditions of water supply and crop load was used to test the model. Our results suggest that β could be fairly independent of crop load or watering regime and, probably, genetically controlled. By contrast, wf0 is clearly affected by both the cultivar and the availability of assimilates for fruit growth preceding oil accumulation, which makes it orchard- and year-specific. According to those premises, once cultivar-specific β values are available wf0 could be easily calibrated by either a single determination of Of and wf at any time during the oil accumulation phase (Approach A) or by directly measuring wf0 if the date for the onset of oil accumulation can be estimated (Approach B). Validation tests with an independently calibrated β showed an excellent performance for reproducing Of patterns from wf data using Approach A. Approach B satisfactory predicted oil accumulation rates, but absolute estimates of Of were less reliable. Regardless of the calibration approach, the model is easy to implement and has a minimal cost, which satisfies the demand for inexpensive tools for monitoring oil accumulation dynamics.This work was supported by the Spanish Ministry of Economy and Competitiveness [project AGL-2015-69822] and also by National Funds by FCT - Portuguese Foundation for Science and Technology [project UIDB/04033/2020]. The former project provided the funding for setting up Experiment I. Experiment II was performed under the framework of a project [P10-AGR-6456] funded by the Andalusian Regional Government. Experiment III was supported by the PRODER program of the Portuguese Ministry of Agriculture [project PA-44662-IF0019]. Experiment IV was funded by the AGRO-INIA program of the Portuguese Ministry of Agriculture [project AGRO175] and by the PhD fellowship [SFRH/BD/18441/2004] awarded to AF-S by the Foundation for Science and Technology of the Portuguese Ministry of Science, Technology and Education. AL-B enjoyed a JAE-Pre PhD scholarship during Experiment II (funded by CSIC) and a ‘Juan de la Cierva-Formación’ postdoctoral fellowship (funded by the Spanish Ministry of Economy and Competitiveness, grant number [FJCI-2015-24109]) during the execution of Experiment I.Peer reviewedElsevierMinisterio de Economía y Competitividad (España)Fundação para a Ciência e a Tecnologia (Portugal)Junta de AndalucíaMinistério da Agricultura, do Desenvolvimento Rural e das Pescas (Portugal)Consejo Superior de Investigaciones Científicas (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220212022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/10261/267724reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO//FJCI-2015-24109info:eu-repo/grantAgreement/MINECO//AGL2015-69822-Rhttp://dx.doi.org/10.1016/j.eja.2020.126206Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2677242026-05-22T06:33:51Z
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