Pinot Noir wine composition from different vine vigour zones classified by remote imaging technology

Song, Jianqiang; Smart, Richard; Dambergs, Robert G.; Sparrow, Angela M.; Wells, Reuben; Wang, Hua; Qian, Michael C.

doi:10.1016/j.foodchem.2013.12.037

Cited by 37 publications

(31 citation statements)

References 36 publications

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“…This result is partly consistent with the result of maturity coefficients, as Brix is also an indicator reflecting maturation states (Grifoni et al, 2008). Additionally, the total acids increased with decreasing berry height as expected, which was most likely due to the effect of canopy shading (Song et al, 2014).…”

Section: General Compositions Of Grapes and Winessupporting

confidence: 88%

“…In our study, n-decanoic acid differed notably in the various-FZ wines of both cultivars and this could be explained 2.50 ± 0.03c 3.50 ± 0.06b 3.70 ± 0.04a 3.30 ± 0.03C 3.51 ± 0. by the difference of grape-must composition measured above (Schreier & Jennings, 1979) Terpenes Dn the whole, the FZ1wines of both grape cultivars contained the highest concentrations of terpenes compared to the other FZ wines. Increased exposure to sunlight and grape maturity in FZ1 were most likely associated with the high terpene contents of the FZ1 wines (Song et al, 2014). In addition, previous studies have found most terpenes be beneficial to wine aroma and that they can emit floral fragrances; (Noguerol-Pato et al, 2012;Garde-Cerdán et al, 2015) the FZ1 wines were thus most likely to benefit.…”

Section: Fatty Acidsmentioning

confidence: 90%

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Aromatic profiles of young wines from berries at different heights on grapevines

Xie

Song

et al. 2016

Food Sci. Technol

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The differences among young wines from berries at 3 heights (fruit-zone 1 (FZ1): 140-200 cm above the ground; FZ2: 80-140 cm; FZ3: 20-80 cm) on Vitis vinifera L.cv Merlot and Chardonnay were assessed to evaluate the influence of berry-heights on the final wine quality. Stir bar sorptive extraction coupled with gas chromatography-mass spectrometry (SBSE-GC/MS) was used to analyse the characteristics of wine aromas. The results revealed that berry-heights exert significant influence on ethyl octanoate, isoamyl acetate, ethyl hexanoate, and ethyl butanoate in various-FZ Merlot wines and beta-damascenone in the Chardonnay -FZ wines. As a result, FZ1 wines of Merlot are more aromatic than the other FZ wines and had the highest floral and fruity series intensity. For the Chardonnay wines, fruity and sweet series were highly intense in the FZ1 wines. The PCA results demonstrated a high degree of differences in the aroma of various-FZ wines of the 2 grape cultivars, especially the Merlot variety, which indicates a need to separate the berries from the different-FZs. These results suggest that wineries should consider the possibility of separating berries from different-heights to produce wines of distinctive quality. Furthermore, this knowledge about the volatile composition of young wines offers a means of evaluating the aroma potential of wines from berries taking into account their position along the vines.Keywords: berries of different-heights; wine aromatic compounds; Principal Component Analysis (PCA); odour activity values (DAVs).Practical Application: There are significant differences in the aromas of wines produced from berries at various heights on vines, indicating that wineries should consider separating berries from different-heights to produce wines of different quality.

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Section: General Compositions Of Grapes and Winessupporting

confidence: 88%

Section: Fatty Acidsmentioning

confidence: 90%

Aromatic profiles of young wines from berries at different heights on grapevines

Xie

Song

et al. 2016

Food Sci. Technol

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“…Previous studies showed that wines from clay soils (SoilT-3) showed high sugar accumulation and anthocyanin concentration [66], [73], but lower pH [7], than those from sandy soils (SoilT-11/12) [66], while other studies suggest that loamy soils (SoilT-9) may also be favourable to high quality wines [75], [76]. Third, studies have shown that lower vigour vineyards (EVIc-1) are generally expected to produce higher grape and wine quality, with higher total soluble solids, total phenolics and anthocyanins and lower titratable acidity [34], but are commonly associated with lower yield [77], [78]. From the present study results, some considerations can also be made regarding the regional quality attributes.…”

Section: Discussionmentioning

confidence: 99%

Integrated Analysis of Climate, Soil, Topography and Vegetative Growth in Iberian Viticultural Regions

et al. 2014

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The Iberian viticultural regions are convened according to the Denomination of Origin (DO) and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation) were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate.

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“…Therefore, along with the in-field analysis, the different mapping products (like canopy, vigor, maturity, etc.) must take into account and be optimized according to the variety [33][34][35][36][37][38], since the overall management, grape/wine quality potential and respective economic value is variety dependent [39,40]. To this end, apart from the conventional analytical techniques employed to discriminate several vine or other plant varieties, such as ampelometry [41], wet chemistry methods or DNA analysis [42], the exploitation and validation of non-destructive remote sensing tools has not been much studied.…”

Section: Introductionmentioning

confidence: 99%

Vineyard Detection and Vine Variety Discrimination from Very High Resolution Satellite Data

2016

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Abstract:In order to exploit remote sensing data operationally for precision agriculture applications, efficient and automated methods are required for the accurate detection of vegetation, crops and different crop varieties. To this end, we have designed, developed and evaluated an object-based classification framework towards the detection of vineyards, the vine canopy extraction and the vine variety discrimination from very high resolution multispectral data. A novel set of spectral, spatial and textural features, as well as rules, segmentation scales and a set of parameters are proposed based on object-based image analysis. The validation of the developed methodology was carried out on multitemporal WorldView-2 satellite data at four different viticulture regions in Greece. Concurrent in situ canopy reflectance observations were acquired from a portable spectroradiometer during the field campaigns. The performed quantitative evaluation indicated that the developed approach managed in all cases to detect vineyards with high completeness and correctness detection rates, i.e., over 89%. The vine canopy extraction methodology was validated with overall accuracy (OA) rates of above 96%. The quantitative evaluation regarding the vine variety discrimination task, including experiments with up to six different varieties, reached OA rates above 85% at the parcel level. The combined analysis of the experimental results with the spectral signatures from the in situ reflectance data indicated that certain vine varieties (e.g., Merlot) presented distinct spectral patterns across the VNIR spectrum.

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Pinot Noir wine composition from different vine vigour zones classified by remote imaging technology

Cited by 37 publications

References 36 publications

Aromatic profiles of young wines from berries at different heights on grapevines

Aromatic profiles of young wines from berries at different heights on grapevines

Integrated Analysis of Climate, Soil, Topography and Vegetative Growth in Iberian Viticultural Regions

Vineyard Detection and Vine Variety Discrimination from Very High Resolution Satellite Data

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