Effect of water application on wine quality and yield in 'Carménère' under the presence of a shallow water table in Central Chile

Jara, Jorge; Holzapfel, Eduardo; Billib, Max; Arumí, José Luis; Lagos, Octavio; Rivera, Diego

doi:10.4067/s0718-58392017000200171

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…Of critical importance is the influence of weather parameters, such as temperature [61][62][63][64], and water availability from veraison onwards in red cultivars, which is determinant to the final wine quality and aroma profiles. Several studies have focused on the pre and post veraison phenological stages for irrigation treatments to increase berry and wine quality traits, especially in red cultivars [65][66][67][68][69].…”

Section: Discussionmentioning

confidence: 99%

Modeling Pinot Noir Aroma Profiles Based on Weather and Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence

Fuentes

Tongson

Torrico

et al. 2019

Foods

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Wine aroma profiles are determinant for the specific style and quality characteristics of final wines. These are dependent on the seasonality, mainly weather conditions, such as solar exposure and temperatures and water management strategies from veraison to harvest. This paper presents machine learning modeling strategies using weather and water management information from a Pinot noir vineyard from 2008 to 2016 vintages as inputs and aroma profiles from wines from the same vintages assessed using gas chromatography and chemometric analyses of wines as targets. The results showed that artificial neural network (ANN) models rendered the high accuracy in the prediction of aroma profiles (Model 1; R = 0.99) and chemometric wine parameters (Model 2; R = 0.94) with no indication of overfitting. These models could offer powerful tools to winemakers to assess the aroma profiles of wines before winemaking, which could help adjust some techniques to maintain/increase the quality of wines or wine styles that are characteristic of specific vineyards or regions. These models can be modified for different cultivars and regions by including more data from vertical vintages to implement artificial intelligence in winemaking.

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Section: Discussionmentioning

confidence: 99%

Modeling Pinot Noir Aroma Profiles Based on Weather and Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence

Fuentes

Tongson

Torrico

et al. 2019

Foods

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“…In the present study, we assessed the xylem morphoanatomic properties from three grapevine varieties important for the Chilean red wine industry: Cabernet Sauvignon, Syrah, and Carménère, comparing their theoretical and actual hydraulic efficiency properties, in relation to their vulnerability to cavitation. 'Cabernet Sauvignon' has been reported as a near isohydric variety and, on the contrary, 'Syrah' is recognized as near anisohydric (Schultz, 2003;Hochberg et al, 2013;Tramontini et al, 2014;Jara et al, 2017). According to observations relating stomatal conductance upon water supply in 'Carménère', this variety seems to behave rather as near-isohydric (Pastenes et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Xylem structure and function in three grapevine varieties

Quintana-Pulido

Villalobos-González

Muñoz

et al. 2018

Chil. j. agric. res.

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Xylem vessels are responsible for conducting water, in a metastable state, to the transpiring leaves. As tension increases, hydraulic failure may occur. At any given tension, the resistance of the xylem vessels to cavitation depends on their morphology, of which vessels diameter has been pointed out as relevant. Grapevines (Vitis vinifera L.) are often cultivated in Mediterranean climates and mostly under controlled water deficit conditions. Besides, a high variability in the stomatal sensitivity exists in different varieties. 'Cabernet Sauvignon' (CS) is recognized as isohydric, 'Syrah' (S) as anisohydric, and no clear information exist for 'Carménère' (C), an important grapevine variety for the Chilean wine industry. In the present study, xylem morpho-anatomical traits from stems in CS, S, and C, growing in a single vineyard, were analyzed, inferring their specific theoretical hydraulic conductivity. Also, the maximal hydraulic conductivity and vulnerability to cavitation, the latter expressed as the xylem water potential reducing a 50% loss in hydraulic conductivity (PLC50) were assessed in stems collected from the field. Higher vessels diameter was found in S and C, followed by CS, in general ranging from 21 to 120 μm, resulting in an expected proportional theoretical hydraulic conductivity of nearly 40 to 43 kg s-1 m-1 MPa-1 in C and S, and merely 23 kg s-1 m-1 MPa-1 in C. This values were similar-but not proportionally-to maximal actual hydraulic conductivity measured in stems with median values, in average, of 28, 17, and 13 kg s-1 m-1 MPa-1 in S, C, and CS, respectively. Even though wider xylem vessels have been correlated with higher xylem vulnerability to cavitation, PLC50 was significantly higher in S (-2.3 MPa) compared to C (-1.1 MPa), and even though xylem vessels diameter were similar between S and C, C was as vulnerable as CS. We found no such tradeoff between hydraulic efficiency and vulnerability.

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Climatic Analysis, Soil Site Suitability Evaluation and Soil Organic Carbon Stock Studies on Major Grape-Growing Soils in the Southern Karnataka, India

Harsha,

Anil Kumar,

Nandeesha

et al. 2023

Communications in Soil Science and Plant Analysis

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Effect of water application on wine quality and yield in 'Carménère' under the presence of a shallow water table in Central Chile

Cited by 5 publications

References 20 publications

Modeling Pinot Noir Aroma Profiles Based on Weather and Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence

Modeling Pinot Noir Aroma Profiles Based on Weather and Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence

Xylem structure and function in three grapevine varieties

Climatic Analysis, Soil Site Suitability Evaluation and Soil Organic Carbon Stock Studies on Major Grape-Growing Soils in the Southern Karnataka, India

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