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Better prediction of Mediterranean olive production using pollen-based models

dc.contributor.authorOteros-Moreno, José Antonio
dc.contributor.authorOrlandi, Fabio
dc.contributor.authorGarcía-Mozo, Herminia
dc.contributor.authorAguilera-Padilla, Fátima
dc.contributor.authorBen-Dhiab, Alí
dc.contributor.authorBonofiglio, Tommaso
dc.contributor.authorAbichou, Mounir
dc.contributor.authorRuiz-Valenzuela, Luis
dc.contributor.authorTrigo, María del Mar
dc.contributor.authorDíaz de la Guardia, Consuelo
dc.contributor.authorDomínguez-Vilches, Eugenio
dc.contributor.authorMsallem, Monji
dc.contributor.authorFornaciari, Marco
dc.contributor.authorGalán-Soldevilla, Carmen
dc.date.accessioned2025-01-20T23:55:40Z
dc.date.available2025-01-20T23:55:40Z
dc.date.issued2014
dc.description.abstractOlive oil is a major economic resource of the Mediterranean region. Olive crop management can be improved by models that forecast the variable reproductive biology of olive tree. However, the processes controlling olive harvest are complex on large scales. Here, we study the parameters that influence olive fruit production for developing accurate forecasting models. Seventeen aerobiological sampling points have monitored olive pollen grains in Spain, Italy and Tunisia from 1993 to 2012. Six crop models have been developed at two provinces and country scales. The modelling has been done in two steps: (1) typification and (2) modelling by partial least square regression. Results show that higher pollen indexes and water availability during spring are related to an increase of final fruit production in all the studied area. Higher pollen indexes are also positively correlated with air temperature during early spring and autumn. Furthermore, a decrease of fruit production is related with increasing air temperature during winter and summer. To conclude, we have designed accurate models that allow accurate predictions of olive production.es_ES
dc.identifier.citationOteros, J., Orlandi, F., García-Mozo, H. et al. (2014) Better prediction of Mediterranean olive production using pollen-based models. Agron. Sustain. Dev. 34, 685–694. https://doi.org/10.1007/s13593-013-0198-x
dc.identifier.issn1774-0746es_ES
dc.identifier.otherhttps://doi.org/10.1007/s13593-013-0198-xes_ES
dc.identifier.urihttps://hdl.handle.net/10953/4229
dc.language.isoenges_ES
dc.publisherSpringer Francees_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectOlea europaea
dc.subjectCrop
dc.subjectPollen
dc.subjectAerobiology
dc.subjectCrop forecasting
dc.subjectMediterranean
dc.titleBetter prediction of Mediterranean olive production using pollen-based modelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES

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