Types Of Grapes Research Articles

Development of Tuta absoluta (Meyrick, 1917) (Lepidoptera: Gelechiidae) in tomato genotypes

Tomato plants are the most widely cultivated fruit vegetables globally. The tomato leaf miner (Tuta absoluta) is the leading pest of this crop and can cause up to 100% loss of production. Therefore, the aim was to evaluate the development and resistance of antibiosis and non-preference types (antixenosis) for oviposition and feeding of T. absoluta in commercial tomato hybrids in choice and no-choice tests. For the experiments, an open-pollinated tomato cultivar was used as a control: ‘Santa Clara’ cultivar - susceptible - Italian type, along with eight commercial tomato hybrids were used: ‘Compack’ - salad type, ‘Caniati’ - Italian type, ‘Grazianni’ - Italian type, ‘Sweet Heaven’ - grape type, ‘Cascade’ - cherry type, ‘Ellen’ - salad type, ‘Bento’ - Italian type, and ‘Dominador’ - salad type, all having an indeterminate growth habit. According to the evaluated biological parameters (dendrogram and principal component analysis - PCA), the ‘Sweet Heaven’ hybrid showed a negative effect on the development of T. absoluta, with an increase in the duration of the larval, adult, and total phases, and low larval and total viability. The tomato hybrid ‘Cascade’ exhibited lower attractiveness for T. absoluta oviposition in no-choice tests. The tomato hybrids 'Sweet Heaven', 'Compack', and ‘Cascade’ showed a lower percentage of leaf area consumed. However, ‘Dominador’, ‘Santa Clara’, and ‘Ellen’ were the tomato genotypes that showed higher susceptibility to the development of T. absoluta, encompassing high larval, pupal, and total viability (larva-adult period). Concluding that the ‘Sweet Heaven’ hybrid negatively affected the development cycle of T. absoluta, while the ‘Cascade’ hybrid exhibited lower attractiveness for oviposition.

Exploring the Biological Value of Red Grape Skin: Its Incorporation and Impact on Yogurt Quality.

The study was conducted to study the sustainability and enhanced nutrition gains obtained from incorporating grape skin powder (GSP) extracted from both Fetească Neagră and Rară Neagră grape varieties into yogurt. Grape skins are major leftovers from wineries, having high amounts of phenolic compounds and dietary fiber responsible for their ability to improve the characteristics of food. The research aimed to evaluate the effect of GSP addition at varying concentrations (0.5%, 1.0%, and 1.5%) on the yogurt's physicochemical properties, antioxidant activity, color parameters, and sensory attributes. Analysis revealed that both Fetească Neagră and Rară Neagră GSP increased the total phenolic content and antioxidant activity; however, Fetească Neagră showed greater improvements, with TPC reaching 1.52 mg GAE/100 g and DPPH inhibition up to 26.63%. Although slightly lower, TPC rose to 1.43 mg GAE/100 g and DPPH inhibition increased to 18.93% with Rară Neagră enhancing these parameters conversely. Color changes were observed in fortified yogurts where lightness decreased (L*) and redness increased (a*) due to the pH-dependent anthocyanin stability. Syneresis, indicative of yogurt's water-holding capacity, was reduced at higher concentrations of GSP from both varieties, suggesting improved textural integrity. Sensory evaluation indicated that consumers generally favored yogurts with lower concentrations of GSP. Yogurts fortified with Fetească Neagră GSP received higher overall preference, while those with Rară Neagră GSP were also well-received for their distinct flavor profiles when used at suitable levels. These results show that GSP from both types of grapes improves the nutritional value of yogurt and complies with the principles of sustainable food production through reutilizing agro-industrial waste.

"Tasting" sounds by A.I. Sommelier - Unsupervised machine learning of wine evaluation applied for sound quality evaluation

Wine produced countries in European Union categorize quality of wine as three classes by subjective judgements (called as "Appellation" in French) like taste, land of producer, type of grape seed and so on. In order to evaluate those wine quality, unsupervised machine learning with measured optical and chemical data of wine enables to categorize those 3 subjective classes at high accuracies. With those "A.I. Sommelier" techniques, vacuum cleaner sounds are categorized with psychoacoustic parameters and then modeling by image recognition AI of sFFT images correlate with annoyance rating at high rate. Although unsupervised machine learning technique is uncommon, it shows unsupervised machine learning technique is useful for sound quality evaluation

Seed morphometrics unravels the evolutionary history of grapevine in France.

The cultivation of grapevines has spanned millennia, leading to thousands of varieties through exchanges, mutations, and crosses between genotypes, as well probably as gene flow from wild populations. These varieties are typically categorized by regional origin and primary use, either for wine production or fruit consumption. France, within the Western European group, hosts many of the world's renowned wine grape varieties. However, the historical development of cultivated grapevines in France and in the world remains poorly understood. This study applies morphometry on 19,377 charred and waterlogged archaeological grape pips to investigate the evolutionary history of grapevine in France over the last 10,000 years. The study compares seed outlines and lengths, corrected for taphonomic distortions, with a reference collection of 80 wild and 466 modern domestic grapevine accessions. Findings reveal a shift from wild grapevine exploitation to the expansion of domestic varieties around 600-500 BCE, coinciding with Mediterranean cultural influences and the introduction of eastern grape types. The identification of the East-Table group, a group of varieties of eastern origin for fruit consumption, indicates that grapes were also grown for food, especially in Mediterranean regions and near urban areas, alongside wine production. Early French viticulture featured a notable presence of Western European wine-type grapevines. The abundance of pips with wild-like morphology suggests early cultivation involved plants at an initial domestication stage and gene flow between introduced and wild grapevines. As viticulture spread northward, wild and Eastern morphotypes declined, leading to the dominance of Western European wine types in inner France during the Middle Ages.

Unearthing Grape Heritage: Morphological Relationships between Late Bronze-Iron Age Grape Pips and Modern Cultivars.

The grapevine was one of the earliest domesticated fruit crops and has been cultivated since ancient times. It is considered one of the most important fruit crops worldwide for wine and table grape production. The current grape varieties are the outcome of prolonged selection initiated during the domestication process of their wild relative. Recent genetic studies have shed light on the origins of the modern domestic grapevine in western Europe, suggesting that its origin stems from the introgression between eastern domestic grapes and western wild grapes. However, the origin of ancient grapevines remains largely unexplored. In this study, we conducted an extensive analysis of 2228 well-preserved waterlogged archaeological grape pips from two sites in Sardinia (Italy), dated to the Late Bronze Age (ca. 1300-1100 BC) and the Iron Age (4th and 3rd centuries BC). Using morphometrics and linear discriminant analyses, we compared the archaeological grape pips with modern reference collections to differentiate between wild and domestic grape types and to investigate similarities with 330 modern cultivars. Grape pips from the Late Bronze Age displayed a high percentage of similarity with domesticated grapevines, with a small percentage assigned to wild ones, while the majority of grape pips from the Iron Age were classified as domestic. Discriminant analyses revealed that both white and red grape varieties were cultivated during the Late Bronze and Iron Ages, suggesting a high level of diversification in grape cultivation. Furthermore, a high percentage of archaeological grape pips from both periods showed strong similarities with modern cultivars from the Caucasus and Balkans. This suggests that the great diversity of grapevines present in Sardinia could result from interbreeding between western Asian cultivars and local grapevines that began in the Late Bronze Age. Additionally, a substantial proportion of archaeological grape pips exhibited similar morphometric characteristics to two important Mediterranean grape cultivars: "Muscat à petits grains blancs" and "Garnacha".

From Field to Waste Valorization: A Preliminary Study Exploring the Impact of the Wine Supply Chain on the Phenolic Profile of Three Sardinian Pomace Extracts.

The winemaking process generates an annual global production of about 10 million tons of waste consisting of stalks, skin, and seeds. The possible reutilization of wine pomace is strictly linked to its chemical composition. In this preliminary study, three different Sardinian white grapes (Malvasia, Vermentino and Nasco) grown in the same area were evaluated through a whole wine production chain. To reduce environmental impact, all the grapes were treated following the integrated production practice (IPP) strategies. The adopted agronomic methods and the main physico-chemical parameters of the fresh fruits and musts were evaluated. A fully qualitative and quantitative characterization of the phenolic fraction of the pomace extracts was performed by HPLC-DAD after a post-winemaking process. Water and ethanol were utilized as green solvents in the extraction process. Additionally, the entire pomace post-winemaking process was carried out within the winery facilities to reduce energy loss and road transportation. The findings demonstrated that large amounts of beneficial polyphenols are present in pomace extracts, and that the type of grape used, agronomic practices, and winemaking method all influence the quantity and quality of the extracts. The polyphenol concentrations in the Vermentino (28,391.5 ± 7.0 mg/kg) and Malvasia pomace (11,316.3 ± 6.5 mg/kg) were found to be the highest and lowest, respectively.

Comparative Analysis of the Evolution of Green Leaf Volatiles and Aroma in Six Vitis vinifera L. Cultivars during Berry Maturation in the Chinese Loess Plateau Region.

Green leaf volatiles (GLVs) are important in giving grape a fresh and green aroma. But the changes in GLVs during the phenological development of grapevines are not well known. This study analyzed the GLVs and transcription levels of associated biosynthetic genes in six grape species from the Loess Plateau region at five stages of maturation. Thirteen GLVs were detected, showing unique patterns for each grape type at various growth phases. The primary components in six grapes were (E)-2-hexenal, (E)-2-hexen-1-ol, and hexanal. With the exception of Cabernet Franc in 2019, the overall GLV contents of the six types generally increased during growth and development, peaking or stabilizing at harvest. And Sauvignon Blanc, Cabernet Gernischt, and Cabernet Sauvignon exhibited higher total contents among the varieties. PLS-DA analysis revealed 3-hexenal's high VIP scores across two years, underscoring its critical role in grape variety classification. Correlation analysis revealed a strong positive correlation between the levels of hexanal, 1-hexanol, (E)-2-hexen-1-ol, (Z)-3-hexenyl acetate, nonanal, and (E, E)-2,6-nonadienal and the expression of VvHPL and VvAAT genes in the LOX-HPL pathway. Specifically, VvHPL emerges as a potential candidate gene responsible for species-specific differences in GLV compounds. Comprehending the changing patterns in the biosynthesis and accumulation of GLVs offers viticulturists and enologists the opportunity to devise targeted strategies for improving the aromatic profile of grapes and wines.

Diversity of fruit fly species in agricultural area Chott Zahrez Chergui (Djel-fa): First record of Trupanea amoena (Diptera: Tephritidae) in Algeria

Fruit flies (Diptera: Tephritidae) are cosmopolitan, species-rich, and yet poorly studied in Algeria, particularly in the agro area of Djelfa. We sampled fruit flies in orchard containing three types of trees apricot, fig and grapes at each site, using the yellow traps. Results show that the orchard differed significantly in species richness, abundance, diversity and evenness. A total of 956 individuals distributed by nine species of Diptera, including four species of fruit flies are collected. The results revealed that most abundant species are Drosophila melanogaster at the apricot fruit site (RA%=28.32%), Zaprionus indianus at fig fruit site (RA%=34.74 %) and Tephritis praecox at the grapes fruit site with (RA%= 51.61 %). The orchard selected a greater number of species and individuals, and higher diversity indices H′=2.40 bits; 2.32 bits and 2.02 bits. Statistically, the result of stepwise multiple regressions revealed a very strong correlation between the number of fruit fly species and the temperatures with (r=93.1%) and (Sig .000**). Thus, fruit flies appear to have rather arrow with the host plant requirements and their phenology was correlated with environmental differences. Our study highlighted for; the first time; the presence of Trupanea amoena in Algeria. This important and substantial preliminary work on this new species in Algeria provides a solid basis for future research and extension of the study in particular for monitoring and control of this dreaded agricultural pest.

Advancements in deep learning for accurate classification of grape leaves and diagnosis of grape diseases

AbstractPlant diseases cause significant agricultural losses, demanding accurate detection methods. Traditional approaches relying on expert knowledge may be biased, but advancements in computing, particularly deep learning, offer non-experts effective tools. This study focuses on fine-tuning cutting-edge pre-trained CNN and vision transformer models to classify grape leaves and diagnose grape leaf diseases through digital images. Our research examined a PlantVillage dataset, which comprises 4062 leaf images distributed across four categories. Additionally, we utilized the Grapevine dataset, consisting of 500 leaf images. This dataset is organized into five distinct groups, with each group containing 100 images corresponding to one of the five grape types. The PlantVillage dataset focuses on four classes related to grape diseases, namely Black Rot, Leaf Blight, Healthy, and Esca leaves. On the other hand, the Grapevine dataset includes five classes for leaf recognition, specifically Ak, Alaidris, Buzgulu, Dimnit, and Nazli. In experiments with 14 CNN and 17 vision transformer models, deep learning demonstrated high accuracy in distinguishing grape diseases and recognizing leaves. Notably, four models achieved 100% accuracy on PlantVillage and Grapevine datasets, with Swinv2-Base standing out. This approach holds promise for enhancing crop productivity through early disease detection and providing insights into grape variety characterization in agriculture.

Anti-cancer potential of sea grape (Caulerpa racemosa) extract by altering epithelial-mesenchymal transition and pro-apoptosis proteins expression in MCF-7 breast cancer cells

Breast cancer is a neoplasm that is increasing globally based on its prevalence. Caulerpa racemosa is a type of sea grape that has anti-cancer activity based on previous studies. We aim to determine the anti-cancer activity of C. racemosa extract on Michigan cancer foundation-7 (MCF-7) breast cancer cells through the mechanism of apoptosis by observing cell viability and caspase-3 expression, also as an anti-metastatic agent on expression of Snail and Vimentin. A true experimental study was carried out using a randomized post-test-only control group design. MCF-7 cells were used as subjects with the intervention of C. racemosa extract at varying doses. Cell apoptotic was assessed by flow cytometry and cell viability test, while anti-metastatic activity was assessed by wound healing assay. Immunofluorescence staining was used to assess the expression level of caspase-3, Snail, and Vimentin. The results showed an increased activity of cell apoptosis, according to flow cytometry and cell viability tests. Furthermore, expression of caspase-3 was found to be significantly higher in the 400 g/ml dose group and MCF-7 cell migration inhibition by decreasing Snail and Vimentin protein expression. These results indicate a “novel mechanism” of C. racemosa in the MCF-7 model as an anti-cancer and anti-metastatic agent to inhibit breast cancer progression.

CULTIVATION OF SEAWEED Caulerpa racemosa USING DIFFERENT SUBSTRATES ON A LABORATORY SCALE

Caulepa racemosa is a type of sea grape from the group of green algae (Chlorophyceae) that can be found in Indonesian waters. Coastal communities use this species as a source of daily food. Besides being a food ingredient, C. racemosa can be used for medical purposes because it contains antioxidants. The distribution of C. racemosa and its density in waters depends on the type of substrate and season. The substrate in the cultivation container is an essential factor in cultivating C. racemosa. Various substrates have different characteristics and influence the growth of C. racemosa. This research aims to analyze the best substrate for the survival of seaweed on a laboratory scale. This research used an experimental method using a Completely Randomized Design (CRD) consisting of 4 treatments, namely different substrates of sand, coral, volcanic rock, and coral sand. The results of this research are that different types of substrates have a real influence on the survival rate of C. racemosa cultivated on a laboratory scale. Sand substrate gave the best results: a survival rate of 112.83%, a final weight of 22.56 g, and the highest antioxidant content on volcanic rock substrate of 83.19%. This research concludes that differences in substrate directly influence the survival rate and final weight of C.racemosa. The substrate that provided the best survival rate of 112.83% was sand substrate

Effect of Salinity on the Growth and Yield of Grapes: A review

The presence of salt in the soil is a major environmental factor that might reduce grapevine productivity. Excessive salt in the soil causes soil salinity, which in turn causes osmotic stress and toxicity to the grapevine’s root system. This can lead to stunted grapevine development, decreased harvests, and inferior fruit quality. Salinity can alter the physical characteristics of soil, making it less porous and less able to absorb water. This can amplify the negative impacts of salinity on grapevine development and harvest success. Numerous factors influence the severity of salinity’s impact on grapevines. The age and rootstock of the vine, as well as the grape variety, are other important factors. The effects of salinity on grapevine development and production vary with the grapevine’s developmental stage. The salinity of the environment can have a greater effect on the vegetative growth stage than the reproductive growth stage. The reproductive phase is brief and relatively immune to salt stress. Grapevines are especially vulnerable to the negative effects of salt stress during the vegetative growth stage, when the plant’s tissues are still developing. These factors can have a negative impact on grapevine health, leading to poorer yields. Grapevine production is less sensitive to salinity when the plants are in the reproductive phase. Salinity, which decreases sugar concentration, increases acidity, and alters flavor, can still have an impact on fruit quality. Growers can take many measures to reduce the negative effects of salt on grapevines. Choose salt-tolerant grape types and rootstocks, enhance drainage to cut down on salt buildup, and use irrigation methods that minimize salt leaching. In conclusion, salinity can significantly affect grapevine development and harvest success.

Preparation and evaluation of smart food packaging films with anthocyanin Sardasht black grape based on Astragalus gummifer and chitosan nanoparticles

A new and green development in the field of food packaging is the use of colorimetric films containing anthocyanins, which not only can respond to food spoilage but also have no environmental risk and help the environment full of unacceptable and polluted substances created by humans. In this research, a completely natural film (GCNG) was made using natural materials including tragacanth gummifer (G), chitosan nanoparticles (C), and an extract containing anthocyanins of a type of wild grape called Sardasht black (G) with Alumina nanoparticles (N) for use in food packaging. This biodegradable film (GCNG) presented relatively wide color differences from red to blue in different buffer solutions (pH 2–12), which was clearly observed by the naked eye. Sardasht black grape extract contains large amounts of anthocyanins and antioxidants that can be extracted and used in the preparation of packaging films. The properties of prepared films, including mechanical properties, permeability to water vapor, solubility, swelling, as well as antimicrobial properties were checked by measuring the diameter of the diffusion area by agar disk test. GCNG films showed strong antioxidant activity and good antibacterial activity against E. coli and S. aureus. The results suggested this film has promising potential as an active and smart packaging material for applications in the food industry.

A replication and extension of wine retail consumer purchase patterns: double jeopardy and duplication of purchase laws

PurposeThis study aims to understand the degree of predictability and value in analyzing consumer purchase patterns in the US wine retail market. The study considers whether brands in US wine retailing follow the well-established Duplication of Purchase Law and Double Jeopardy Law.Design/methodology/approachOver 20,000 customer panel wine purchases were analyzed from a number of locations within a supermarket chain based on the West Coast of the USA. Cross-purchasing behavior for the top 20 wine brands by market penetration was analyzed to assess whether the well-established Duplication of Purchase Law and Double Jeopardy Law hold up in this wine retail setting in the USA. The degree of predictability and the existence of anomalies in expected cross-purchasing behavior were identified in the analysis.FindingsResults confirmed a Double Jeopardy pattern and that wine cross-purchasing patterns for the most part followed the Duplication of Purchase Law. However, exceptions to these patterns were found, which indicated areas in need of managerial attention due to the potential to remedy, develop or monitor the most prominent variations between predicted and realized cross-purchasing behavior. Repeated identification of variations has been identified in other product categories, known as market partitions.Originality/valueAlthough it is commonly believed that wine is a unique product category, the results of this study demonstrate that consumer behavior toward wine is similar to other fast-moving consumer goods. The exceptions suggest that while similar consumer purchase patterns are evident, consumers are more likely to cross purchase wine brands and grape types more than would be expected given Duplication of Purchase Law benchmarks.

MORPHOLOGICAL CHARACTERISTIC OF VIERUL LOCAL GRAPE (Vitis spp.) CUTTING SEEDS ON PODZOLIC SOIL USING VARIOUS CONCENTRATION OF AUXIN SOAK

The development of grapes (Vitis vinifera) has obstacle among others are limited optimal land and difficult nurseries. Suboptimal land use for grape cuttings can use red yellow podzolic soil (ultisol). Podzolic soil has an acidic pH and low macro and micro nutrient uptake but can still be used as a growing medium. Vierul local grapes are a type of grape that has begun to be developed as root stock in nurseries but needs to be improved for its root success using a synthetic phytohormones bath of napthaline acetic acid (NAA). The purpose of this study was to determine the morphological character of vierul local grape cuttings at various concentrations of NAAsoaking in podzolic soil growing medium. This research has been carried out in a screen house from August to December 2021. This study used a non-factorial completely randomized design (CRD) with 3 treatments and 3 replications as block consisting of F0, F1, F2, F4 following by 0, 2, 4, 6 g L-1 respectively. The morphological characteristics observed is number of bud break, time of leaves appear, number of leaves, tendril length and percentage of live cuttings. The results of the study were analyzed using ANOVA at the 5% level and continued using the DMRT at the 5% level. The result showed that soaking of NAA at a concentration of 0 g L-1 (F0) had the best result for the variable number of bud break and number of leaves. Concentration of 6 g L-1 (F3) had the best result for variable length of the tendril while for the variable when the leaves appear, NAA soaking has no significant effect. The percentage of live cuttings is still low because it is influenced by the quality (material) of cuttings, the age of woodstock, growing media and water availability.

Klasifikasi Jenis Anggur Berdasarkan Bentuk Daun Menggunakan Convolutional Neural Network Dan K-Nearest Neighbor

. Grapes belong to the Vitacaee family group whose vines grow and produce dense fruit on their branches, grapes have health benefits for the body's metabolism. Wine has different types of variants, in this study there were 11 types of grape variants used consisting of Auxerrois grapes, Cabernet Franc, Cabernet Sauvignon, Chardonnay, Merlot, Muller Thurgau, Pinot Noir, Resling, Sauvignon Blanc, Syrah and Tempranillo. There are several ways to distinguish the types of grapes, one of which is by looking at the shape of the leaves of the tree. Grape leaves can be observed with the naked eye if people know and understand grape leaves, but if people who don't know or are still beginners don't understand grape leaves, the accuracy is not perfect because there are shapes of grape leaves that have a resemblance. To overcome this problem, an application is needed that makes it easier for the public to classify types of grapes automatically through a series of processing processes for the taste of grape leaves by recognizing the characteristics of the leaves such as the shape of the leaves. This study aims to classify types of grapes based on the shape of the leaves using the convolutional neural network (CNN) and K-nearest neighbor (KNN) methods to determine the types of grapes planted based on the shape of the leaves. The test results for the CNN and KNN methods were measured using a confusion matrix and obtained a result of 99% for CNN and 53% for KNN.

Uji Aktivitas Sitotoksik Ekstrak Etanol Anggur Laut (Caulerpa racemosa) dengan Metode BSLT (Brine Shrimp Lethality Test)

Indonesia, especially in the Riau Islands has abundant marine biological natural resources. So that it can be used as the basic ingredient of a search for medicinal or medicinal materials. One of them is the caulerpa racemosa sea grape type from the green algae group which contains a variety of secondary metabolites with bioactive compounds that are cytotoxic to kill cancer cells. This study aims to determine the cytotoxic activity of sea grape ethanol extract originating from Terih Village, Nongsa Beach, Riau Islands. The method had been used the BSLT method with Artemia Salina Leach larvae as the test animal. The results showed that the ethanol extract of terih beach sea grape, Nongsa contains alkaloid compounds, flavonoids, saponins and phenolics. The results of the cytotoxic test of sea grape ethanol extract showed results with an LC50 value of 2,154 ppm. From this study, it can be concluded that the ethanol extract of sea grapes is not cytotoxic with a value of LC50 > 1000 ppm so it does not have the potential to be a basic ingredient for anticancer testing.

Investigation of pectolytic and PR genes expression, quality and phytochemical contents in organic and non-organic table grapes at harvest and during storage

The demand for organic table grapes is increasing worldwide. However, comprehensive information of quality parameters and phytochemical compounds in organically grown fruit remain unclear. Furthermore, table grapes are perishable and postharvest quality retention and waste prevention is very important. In this study we have compared the differences between organic and non-organic table grapes in terms of phytochemical compounds and quality parameters as well as the changes in the expression levels of pathogen related and lytic genes during storage. Organic fruit showed higher levels of phenolics, flavonoids, caffeic acid, hydrogen peroxide, protein content, antioxidant and anti-stress enzymes and total antioxidant activities at harvest and during storage. Although, the expression levels of polygalactronases, pectin methyl esterase, chitinase and glucanase genes was lower in organically grown table grapes at harvest, but the expression of all these genes was significantly increased during cold storage. After 60 days of cold storage the expression levels of pectin methyl esterase, chitinase and glucanase genes was significantly higher than the conventionally grown grape berries in organic ones. The highest expression of polygalacturonase was recorded in organic samples after 30 days of storage. There was no significant difference between the two types of table grapes for decay extension and tissue deterioration rate. The results of this study indicate that due to higher levels of phytochemicals and antioxidant compounds the organic table grapes have a higher nutritional quality. Furthermore, the increase in PR and pectolytic genes expression levels is enough for decreasing the fruit susceptibility to decay pathogens and enhancing the postharvest life of organic grapes.

The intra-laboratory study of EIM-IRMS® (Ethanol Isotope Measurement–Isotope Ratio Mass Spectrometry) method performance with CS-qNMR (Cumulative Screening–quantitative NMR)

In our earlier publications we proposed the possibility of using new EIM–IRMS® instrumental technique and analytical parameter δDn wine ethanol, which represents δ2H value of non-exchangeable hydrogen stable isotope ratio in ethanol, to improve detection of illegal wine production practices such as addition of sugar and/or water to grape must prior to alcoholic fermentation. This article shows a comparative performance study between EIM-IRMS® and CS-qNMR methods in order to evaluate potential and demonstrate the precision of two isotopic concepts and their degree of detection of illegal wine production practices. Three batches of laboratory wine samples were prepared from three different types of grapes (N=24 samples). Sample results obtained from both methods are compared and a statistical data processing was carried out. Based on the results obtained using the EIM-IRMS® method we detected 11 out of 21 of previously adulterated wine samples which represents a success rate of 52.4% detection of illegal practices (beet sugar, water or beet sugar syrup additions). In addition, wines from the Republic of Serbia (90 samples) were examined as well using the EIM-IRMS® method and appropriate equipment to confirm their authenticity.

СОВЕРШЕНСТВОВАНИЕ СОВРЕМЕННОГО ВИНОГРАДАРСТВА

The article conducts fundamental research on improving modern viticulture. Current and organizational issues of modernization and improvement of the assortment with a tendency to increase attractiveness, profitability, and comprehensive security to negative factors (drought, temperature), etc. are considered. Risks associated with a slowdown in investment attractiveness, competitive advantage and dependence on the global economic context have been identified. Currently, there are a number of problems associated with the development of significantly relevant varieties of grapes that have high-quality characteristics, the industrial development of which will make it possible to get rid of grafted and covering crops and eliminate the use of chemicals from the care procedure, which will significantly reduce the costs of cultivating grapes and enhance environmental protection. Modern types of grapes must be differentiated by the greatest efficiency and excellent characteristics, be able to grow and guarantee abundant harvests in a variety of climatic conditions, and be acceptable to industrial agricultural technology. Equally important is their large-scale testing and prompt launch into production. A significant place is devoted to the cultivation of high-quality seedling material, modeling and modernization of methods for growing grafted and root-capable seedlings, intensive agricultural techniques for breeding seedlings of unique modern and acclimatized grape varieties. A key factor in the dynamics of improvement of all areas of activity of the agro-industrial complex, among which viticulture is a stable, high-yield economy, regardless of climate, and saturated irrigation has a significant impact in solving this problem. During the study, statistical analysis and normative methods were used. The information base for the study was data from Rosstat and its regional services, Rosreestr and the Ministry of Agriculture of Russia.