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Article

Predicting Berry Quality Attributes on Cv. Xarel·lo Rain-Fed Vineyards Using Narrow-Band Reflectance-Based Indices

Cristina González-Flor, Lydia Serrano Porta, Gil Gorchs Altarriba
Am J Enol Vitic.  2012  : ajev.2012.11124  ; DOI: 10.5344/ajev.2012.11124
Cristina González-Flor
1Assistant Professor, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
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  • For correspondence: cristina.gonzalez-flor{at}upc.edu
Lydia Serrano Porta
2Lecturer, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
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Gil Gorchs Altarriba
2Lecturer, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
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Abstract

In rain-fed vineyards, water availability strongly influences vegetative and reproductive growth and, thus, berry quality. Narrow-band spectral indices might provide information on vine structure and physiological status and might be a useful tool for predicting berry quality. In the present study, the feasibility of the indices Normalized Difference Vegetation Index (NDVI) and Photochemical Reflectance Index (PRI) at assessing berry quality was tested. The study was carried out on five commercial vineyards (cv. Xarel lo) in 2009 and 2010. Measurements of predawn water potential (Ψpd), canopy to air temperature difference (ΔTm), fractional intercepted photosynthetic active radiation (fIPAR), exposed leaf area (ELA) and canopy reflectance were taken at veraison. Berry weight (BW), total soluble solids (TSS) and titratable acidity (TA) were determined at harvest. Values of Ψpd indicated mild to moderate water deficits. In our study, NDVI characterized the effects of water availability on vine vigor (fIPAR) while PRI was found to be related to water status (Ψpd). The extent of water deficits was found to be a key factor in determining the aptitude of spectral indices at estimating berry quality attributes. Thus, consistent with the influence of vine vigor and water status on berry quality attributes, NDVI was related to both TA (r2 = 0.46) and IMAD (TSS/TA; r2 = 0.27) whereas PRI was related to both TSS and IMAD (r2 = 0.23 and r2 = 0.34, respectively). In addition, PRI was positively related to berry weight (r2 = 0.68). The results obtained suggest the potential of hyperspectral reflectance indices of canopy vigor (i.e., NDVI) and photosynthetic functioning (i.e., PRI) at estimating berry quality attributes in vineyards experiencing mild to moderate water deficits.

  • Vitis vinifera
  • berry quality attributes
  • narrow-band spectral reflectance
  • water status
  • vine vigor
  • ©2012 by the American Society for Enology and Viticulture

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You have accessRestricted access
Predicting Berry Quality Attributes on Cv. Xarel·lo Rain-Fed Vineyards Using Narrow-Band Reflectance-Based Indices
Cristina González-Flor, Lydia Serrano Porta, Gil Gorchs Altarriba
Am J Enol Vitic.  2012  ajev.2012.11124  ; DOI: 10.5344/ajev.2012.11124
Cristina González-Flor
1Assistant Professor, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
  • Find this author on Google Scholar
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  • For correspondence: cristina.gonzalez-flor{at}upc.edu
Lydia Serrano Porta
2Lecturer, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
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Gil Gorchs Altarriba
2Lecturer, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
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Predicting Berry Quality Attributes on Cv. Xarel·lo Rain-Fed Vineyards Using Narrow-Band Reflectance-Based Indices
Cristina González-Flor, Lydia Serrano Porta, Gil Gorchs Altarriba
Am J Enol Vitic.  2012  ajev.2012.11124  ; DOI: 10.5344/ajev.2012.11124
Cristina González-Flor
1Assistant Professor, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
  • Find this author on Google Scholar
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  • Search for this author on this site
  • For correspondence: cristina.gonzalez-flor{at}upc.edu
Lydia Serrano Porta
2Lecturer, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
  • Find this author on Google Scholar
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Gil Gorchs Altarriba
2Lecturer, Departament d’Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, c/ Esteve Terradas 8, 08860 Castelldefels (Barcelona, Spain).
  • Find this author on Google Scholar
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  • Search for this author on this site
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