Assessment of the Current and Projected Conditions of Water Availability in the Sevastopol Region for Grape Growing

Vyshkvarkova, Elena; Rybalko, Evgeniy Aleksandrovich; Marchukova, O.V.; Баранова, Н. В.

doi:10.3390/agronomy11081665

Cited by 8 publications

(3 citation statements)

References 62 publications

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“…In the South of European part of Russia, there is a tendency towards a decrease in precipitation and, as a result, an increase in aridity over the period of 2001-2019 [11]. On the Crimean Peninsula territory, tendencies towards an increase in extreme air temperatures and precipitation anomalies were observed [3,12].…”

Section: Introductionmentioning

confidence: 99%

Quality assessment of grapes and wines of the Alminskiy terroir (Crimean Western-Coastal Piedmont viticultural and winemaking region)

Cherviak,

Anikina,

Rybalko

et al. 2023

E3S Web of Conf.

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Climatic conditions significantly impact the technology of grape cultivation, starting with selecting of varieties, choosing a place to establish a vineyard, and finishing with determining the harvesting time. The study of the effect of abiotic environmental factors on the quality characteristics of grapes and their products of processing is a hot topic. Assessment of the Crimean western-coastal piedmont viticulture and winemaking region was carried out in accordance with the climatic factors. Their impact on the carbohydrate-acid complex of grape varieties ‘Aligote’, ‘Rkatsiteli’, ‘Cabernet-Sauvignon’ and ‘Merlot’, as well as wines from these varieties, was studied. The sum of active temperatures in the region varied in the range of 3100°C - 3650°C. The hydrothermal coefficient was 0.35-0.76, which characterized the region as arid. Grapes cultivated in this region reach technical ripeness, mass concentration of sugars ranges from 186 to 260 g/L. An inverse correlation between the mass concentration of titratable acids in grapes and precipitation amount during the growing season (r= -0.63) was established. The wines prepared were characterized by distinctive varietal characteristics.

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Section: Introductionmentioning

confidence: 99%

Quality assessment of grapes and wines of the Alminskiy terroir (Crimean Western-Coastal Piedmont viticultural and winemaking region)

Cherviak,

Anikina,

Rybalko

et al. 2023

E3S Web of Conf.

Self Cite

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“…They are contained in equal amounts in grapes. The sugar levels and composition change during grape maturing and can be affected by a moderate water deficit, low temperatures (below 30 °C), and UV-B radiation [ 3 , 4 , 5 , 6 ]. During wine fermentation, glucose and fructose are transformed by yeasts (e.g., Saccharomyces cerevisiae) in carbon dioxide, ethanol, glycerol, etc.…”

Section: Introductionmentioning

confidence: 99%

Validation of an Eco-Friendly Automated Method for the Determination of Glucose and Fructose in Wines

Dini,

Tuccillo,

Coppola

et al. 2023

Molecules

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Fermentable sugar dosage helps oenologists to establish a harvest’s moment and control the fermentation process of the musts. The official analyses recommended for their determination are long, laborious, and must be carried out by specialized personnel. On the contrary, instrumental analysis automation limits human errors, increases precision, and reduces the time and cost of the analyses. In the food production sector, to use methods other than those recommended by supranational bodies in official reports, it is necessary to validate the analytical processes to establish the conformity of the results between the new methods and the reference ones. This work validated an automated enzymatic apparatus to determine the sum of glucose and fructose levels in wine samples. The validation was carried out on wine samples (dry red wine, dry white wine, moderately sweet wine, and sweet wine) containing different sugar concentrations by comparing data obtained using the OIV-MA-AS311-02 method performed by a specialized operator (reference method) and the same method performed by an automated apparatus. The difference between the results’ means obtained with the two procedures was significant. Nevertheless, the automated procedure was considered suitable for the intended use since the differences between the averages were lower than the measurement uncertainty at the same concentration, and the repeatability results were better for the automated procedure than the reference method.

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“…A new technique for evaluating regional climate scenarios based on the statistical region model STAR has been developed. The approach improves applicability and reliability in viticultural elements and focuses on evaluating adaption measurements rather than predictions [6]. Multiple regression approach was used to develop an agro-climate grape yield (ACGY) model using climatic parameters and the developed model had been statistically tested for its predictive ability.…”

Section: Introductionmentioning

confidence: 99%

Studying on Crop Response Model for Grapes under Climate Change Scenario: Statistical Study Approach

Eswari

Saravanakumar

2022

IJECC

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Grapes vine originally a temperate fruit crop and it’s also grown successfully under tropical conditions. Grape is one of the economically important fruit crops grown in India. As Theni district is the leading producer of grape in Tamil Nadu, followed by Coimbatore and Dindigul, this study is centred on the Theni-Kambum block area. In this region, Muskat Humbug is a well-liked cultivar that yields more than other varieties. In this study, this cultivar was employed. In this study, an artificial neural network (ANN), multiple linear regression (MLR), and elastic net (ELNET) regression methods were used to construct a yield prediction model (ANN) using twelve years secondary data. Additionally, we evaluate our model over a two-year period using field-level data from GRS and neighbouring farms. Finding the best-fit model for predicting grape yield and PDI using meteorological parameters in the Theni district is the goal of this communication. The model is chosen according to many performance indicators including RMSE, MAPE, MAE, and R2. Among the three techniques developed in the study, the Artificial Neural Network is found to be best for prediction of grape yield based on weather and disease incidence for the available data in the studied region.

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Assessment of the Current and Projected Conditions of Water Availability in the Sevastopol Region for Grape Growing

Cited by 8 publications

References 62 publications

Quality assessment of grapes and wines of the Alminskiy terroir (Crimean Western-Coastal Piedmont viticultural and winemaking region)

Quality assessment of grapes and wines of the Alminskiy terroir (Crimean Western-Coastal Piedmont viticultural and winemaking region)

Validation of an Eco-Friendly Automated Method for the Determination of Glucose and Fructose in Wines

Studying on Crop Response Model for Grapes under Climate Change Scenario: Statistical Study Approach

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