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resumen

Resumen
There are more than two thousand varieties of olives grown worldwide, most of them native to the Mediterranean Region. However, in Argentina, only a small number of olive varieties are cultivated. In Mendoza Province, there is a collection of olive varieties that includes more than seventy accessions; nevertheless, little is known about the adaptation of the different varieties to the province’s arid conditions. The aims of this work were to evaluate [ver mas...]
dc.contributor.authorBanco, Adriana Pamela
dc.contributor.authorPuertas, Carlos Marcelo
dc.contributor.authorLucero, Vanesa Angelica
dc.contributor.authorGonzalez, Maria Del Carmen
dc.contributor.authorTrentacoste, Eduardo Rafael
dc.coverage.spatialArgentina .......... (nation) (World, South America)es_AR
dc.coverage.spatial7006477es_AR
dc.date.accessioned2023-07-19T14:54:48Z
dc.date.available2023-07-19T14:54:48Z
dc.date.issued2021
dc.identifier.issn1680-7073
dc.identifier.issn2345-3737
dc.identifier.urihttp://hdl.handle.net/20.500.12123/14779
dc.identifier.urihttps://jast.modares.ac.ir/article-23-35670-en.html
dc.description.abstractThere are more than two thousand varieties of olives grown worldwide, most of them native to the Mediterranean Region. However, in Argentina, only a small number of olive varieties are cultivated. In Mendoza Province, there is a collection of olive varieties that includes more than seventy accessions; nevertheless, little is known about the adaptation of the different varieties to the province’s arid conditions. The aims of this work were to evaluate fruit characteristics of agronomic importance in 26 olive accessions of the germplasm collection and to compare the fruit characteristics of local variety ‘Arauco’ in different environments and growing seasons in Mendoza. In addition, an economic, quick, and easy method to estimate fruit oil content was calibrated and validated using a wide range of olive varieties. Varieties and years showed significant (P≤ 0.01) differences for all the evaluated characteristics. Fruit oil content was closely and positively related to pulp dry weight (y= -0.05+0.56x; r= 0.99). The varieties highlighted from the collection for their high fruit oil concentration in fresh base and low moisture were ‘Canino’, ‘Cornezuelo’, ‘Cucci’, ‘Dritta’, ‘Dulzal’, ‘Farga’, ‘Frantoio’, ‘Grappollo’, ‘Nebbio’, ‘Picual’, and ‘Villalonga’. Additionally, all fruit characteristics evaluated in ‘Arauco’ were similar among the studied environments and were significantly (P≤ 0.01) influenced by seasonal conditions. The proposed model, calibrated and validated with independent data, would allow determining the best harvest time simply from pulp dry weight as model input, determining oil content and analyzing several samples in a short period of time.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherTarbiat Modares Universityes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceJournal of Agricultural Science and Technology 23 (3) : 617-629. (2021)es_AR
dc.subjectOlea Europaeaes_AR
dc.subjectGenotiposes_AR
dc.subjectGenotypeseng
dc.subjectContenido de Lípidoses_AR
dc.subjectLipid Contenteng
dc.subjectArgentinaes_AR
dc.subjectVariedadeses_AR
dc.subjectVarietiese
dc.subject.otherOlivoes_AR
dc.subject.otherContenido de Aceitees_AR
dc.subject.otherOil Contenteng
dc.titleFruit Characteristics and a Simple Estimate of Oil Content in Twenty-Six Olive Genotypes in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Junínes_AR
dc.description.filFil: Banco, Adriana Pamela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentinaes_AR
dc.description.filFil: Puertas, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentinaes_AR
dc.description.filFil: Lucero, Vanesa Angelica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentinaes_AR
dc.description.filFil: Gonzalez, Maria Del Carmen. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentinaes_AR
dc.description.filFil: Trentacoste, Eduardo Rafael. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentinaes_AR
dc.subtypecientifico


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