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Precision Agriculture

, Volume 18, Issue 2, pp 133–144 | Cite as

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

  • I. Urretavizcaya
  • J. B. Royo
  • C. Miranda
  • B. Tisseyre
  • S. Guillaume
  • L. G. Santesteban
Article

Abstract

Source 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.

Keywords

Precision Viticulture Fuzzy k-means Within-field variability Fruit load Source sink ratio 

Notes

Acknowledgments

This 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). The authors also would like to express their gratitude to the owners and staff in Bodegas Luis Cañas, particularly to M. José Aparicio and Olaya Fernandez, and to Rafael Álvarez (Verdtech Nuevo Campo) for their co-operation and interest.

Supplementary material

11119_2016_9450_MOESM1_ESM.pdf (2.8 mb)
Supplementary material 1 (PDF 2837 kb)

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • I. Urretavizcaya
    • 1
  • J. B. Royo
    • 1
  • C. Miranda
    • 1
  • B. Tisseyre
    • 2
  • S. Guillaume
    • 2
  • L. G. Santesteban
    • 1
  1. 1.Departamento de Producción AgrariaUniversidad Pública de NavarraPamplonaSpain
  2. 2.UMR ITAP, IRSTEA/Montpellier SupAgroMontpellierFrance

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