Relevance of sink-size estimation for within-field zone delineation in vineyards

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dc.contributor.authorUrretavizcaya Sanz, Inés
dc.contributor.authorRoyo Díaz, José Bernardo
dc.contributor.authorMiranda Jiménez, Carlos
dc.contributor.authorTisseyre, B.
dc.contributor.authorSantesteban García, Gonzaga
dc.contributor.departmentProducción Agrariaes_ES
dc.contributor.departmentNekazaritza Ekoizpenaeu
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua, IIM11879.RI.1es
dc.date.accessioned2020-10-14T10:55:57Z
dc.date.available2020-10-14T10:55:57Z
dc.date.issued2017
dc.description.abstractSource to sink size ratio, i.e.: the relative abundance of photosynthetically active organs (leaves) with regards to photosynthate demanding organs (mainly bunches), is widely known to be one of the main drivers of grape oenological quality. However, due to the difficulty of remote sink size estimation, Precision Viticulture (PV) has been mainly based on within-field zone delineation using vegetation indices. This approach has given only moderately satisfactory results for discriminating zones with differential quality. The aim of this work was to investigate an approach to delineate within-vineyard quality zones that includes an estimator of sink size in the data-set. The study was carried out during two consecutive seasons on a 4.2 ha gobelet-trained cv. 'Tempranillo' vineyard. Zone delineation was performed using Normalized Difference Vegetation Index (NDVI), soil apparent electrical conductivity (ECa) and bunch number (BN) data. These variables were considered separately, in pairs, or the three altogether, using fuzzy k-means cluster analysis for combinations. The zones delineated based on single variables did not allow a sufficient discrimination for grape composition at harvest, NDVI being the only variable that by itself resulted in zones that to some extent differed in grape composition. On the contrary, when two variables were combined, discrimination in terms of grape composition improved remarkably, provided the sink size estimation variable (BN) was included in the combination. Lastly, the combination of the three variables yielded the best discriminating zoning, improving slightly on those provided by NDVI + BN and ECa + BN combinations. Thus, the relevance of including a variable related to sink size (in this case the number of bunches per plant) has been confirmed, which makes its consideration highly advisable for any PV work aiming at zone delineation for grape quality purposes.en
dc.description.sponsorshipThis work was funded by the Dpt. Innovación, Industria & Empleo of the Government of Navarra (MODELVID, Ref: IIM11879.RI.1), by the Centro para el Desarrollo Tecnológico Industrial CDTI (Ref: IDI-20100729, co-funded by the European Union ERDF as part of the Operational Programme I+D+i Technology Fund 2007-2013) and by Fundación Fuentes Dutor. The Spanish Ministry of Education funded I.U. stage in SupAgro, Montpellier (EDU/2719/2011).en
dc.format.extent16 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1007/s11119-016-9450-0
dc.identifier.issn1573-1618
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/38372
dc.language.isoengen
dc.publisherSpringeren
dc.relation.ispartofPrecision Agriculture, 2017, 18, 133-144en
dc.relation.publisherversionhttps://doi.org/10.1007/s11119-016-9450-0
dc.rights© Springer Science+Business Media New York 2016en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectPrecision viticultureen
dc.subjectFuzzy k-meansen
dc.subjectWithin-field variabilityen
dc.subjectFruit loaden
dc.subjectSource sink ratioen
dc.titleRelevance of sink-size estimation for within-field zone delineation in vineyardsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication2f2a813d-61bd-43fe-b8e5-7f36d571dc89
relation.isAuthorOfPublication60380411-f110-4d7d-a476-9197792ff515
relation.isAuthorOfPublicationeb6b4e23-fb4a-4c0a-b436-03324e328c1b
relation.isAuthorOfPublication70e95546-7fe8-4555-b366-74356bdb746e
relation.isAuthorOfPublication.latestForDiscovery2f2a813d-61bd-43fe-b8e5-7f36d571dc89

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