Apple Plants Research Articles

Efficiency of thermotherapy for eliminating apple rubbery wood virus 2 and other viruses from apple plants

Efficiency of thermotherapy for eliminating apple rubbery wood virus 2 and other viruses from apple plants

The Effect of Nitrogen Reduction and Applying Bio-Organic Fertilisers on Soil Nutrients and Apple Fruit Quality and Yield

In this study, we investigated the effect of partially substituting inorganic nitrogen with bio-organic fertiliser on the ‘Tianhong2’ Fuji apple planting in Xinjiang. Bio-organic fertiliser was applied, and nitrogen was reduced by 20% (T2), 40% (T3), and 60% (T4) during the blooming and fruit expansion periods with conventionally fertilised fields used as control (T1); soil nutrient, soil enzyme activity, leaf nutrients, fruit quality, and yield were measured. The total nitrogen (TN), total phosphorus (TP), total potassium (TK), total calcium (TCa), available phosphorus (AP), available potassium (AK), and soil organic matter (SOM) contents, as well as the soil catalase (S-CAT), soil uretrase (S-UE), soil saccharase (S-SC), and soil nitrate reductase (S-NR) activities, significantly increased in the experimental soils compared with those in T1. In addition, TP, TCa, and total magnesium (TMg) content in apples significantly increased. Compared to T1, the T2 and T3 treatments significantly improved the fruit yield and quality, increasing the sugar–acid ratio, soluble protein, soluble sugar, peel carotenoid, and anthocyanin content and reducing peel chlorophyll content. The brightness (L*), red–green axis (a*), yellow–blue axis (b*), colour intensity (C), and tone (h°) values changed. The yield per hectare and nitrogen fertiliser partial productivity values were significantly increased. Overall, the T2 treatment resulted in the best outcome for the Yili area. In conclusion, partially substituting inorganic nitrogen with bio-organic fertiliser can effectively increase soil and leaf nutrient content and improve fruit yield and quality.

Characterization and Pathogenicity of Fungal Species Associated with Dieback of Apple Trees in Northern Italy.

Severe dieback symptoms were recently observed on apple (Malus × domestica) trees in Northern Italy, representing a growing concern for producers. Surveys were conducted over a 3-year period (2019 to 2021), and five apple orchards, from 5 to 12 years old, were monitored. A total of 33 fungal isolates isolated from symptomatic plants was selected for characterization. The species identification was achieved through multilocus phylogenetic analyses performed on sequences of three genomic loci (ITS, tub2, and tef1). Morphological features were assessed, and the average growth rate at different temperatures was determined. Seven species were identified in association with dieback of apple trees: Botryosphaeria dothidea, Cadophora luteo-olivacea, Diaporthe rudis, Diplodia seriata, Eutypa lata, Kalmusia longispora, and Paraconiothyrium brasiliense. All the species were pathogenic when inoculated on healthy apple plants. B. dothidea resulted in the most aggressive infections. This study provides an insight into the fungal species diversity associated with apple dieback and provides basis for further investigations to assess the phytosanitary status of plant materials to recommend and implement effective management strategies.

ПОДБОР ПОДВОЕВ ПРИ СОЗДАНИИ МАТОЧНО-ЧЕРЕНКОВЫХ НАСАЖДЕНИЙ ЯБЛОНИ КАТЕГОРИИ «БАЗИСНЫЕ»

The increase in high-temperature stress in recent years during the summer growing season complicates the realization of the production potential of the apple tree. Therefore, it is very relevant to use scion-rootstock combinations based on rootstocks with high drought resistance in creation mother-cutting orchards of apple trees in the “Basic” category. In the conditions of Krasnodar, the summer months of 2018-2023 became hotter, which is confirmed by data on the excess of the average monthly temperature over long-term values. July was the hottest in 2018, 2020 and 2021. (38.0, 38.0 and 36.3 ºC, respectively). In August, the excess of the long-term norm was greatest in 2018, 2021 and 2023. The trend of increasing temperatures in the autumn months has led to a lengthening of the growing season and a decrease in the resistance of apple plants to unfavorable overwintering conditions, which can negatively affect the quality of cuttings. The purpose of the research was to identify the most adaptive apple tree rootstocks for use in mother-cutting plantings of the «Basic» category. We assessed the drought resistance of the most common introduced apple rootstocks M 9, MM-106 and the rootstock breed by FSBSI NCFSCHVW SK 2U under conditions of high-temperature stress during the summer growing season. Leaf water content in particularly hot years (2020, 2021, 2023) was predominantly higher in the M 9 and SK 2U rootstocks. The best water-holding capacity of leaves was observed in the rootstocks M 9 and SK 2U, the worst – in the rootstock MM-106. Preference should be given to the semi-dwarf rootstock SK 2U when designing mother-cutting apple tree plantings of the “Basic” category. SK 2u will be able to maintain the intensity of growth processes and ensure the production of cuttings of a standard size and the required quality in greater quantities under conditions of summer high-temperature stress than mother trees on a dwarf rootstock M 9 with a smaller crown volume than on SK 2U.

Holy Grail possibly made from clay.

The main goal of the work was to find biochemical protein markers specific for grapes and wine in ancient amphorae shards and fermentation pools. Grape-specific proteins are more reliable markers than tartaric acid and other small organic acids (tartaric acid natural source are not only grape but also apple, mango, and other plants). The Yavne winery (located in the Central District of Israel) is stated to be the largest known wine production complex from the Byzantine period (ca. 1500 years ago). The site has been excavated recently, and a number of wine jar have been recovered. We have applied our ethylene vinyl acetate (EVA) (EVA studded with strong cation and anion exchangers) diskettes to the inner surface of a number of jars, thus capturing residual grape proteins therein. Via mass spectrometry analyses, we have been able to identify four grape and three yeast proteins. This has been possible because the EVA films, applied to such surfaces, are able to harvest and concentrate any trace species, rendering them amenable to instrumental analysis. Our analysis makes it possible to propose an explanation for the Holy Grail phenomenon as a dish in which wine or water begins to smell pleasant. We attribute this to the slow release of terpenes, aldehydes, and ketones from the clay walls of pottery. After digital modeling, we identified that "scallop-shaped" niches in winery were used for the condensation of high percentage alcohol by passive evaporation from fermentation tanks.

Valsa mali PR1-like protein modulates an apple valine-glutamine protein to suppress JA signaling-mediated immunity.

Apple Valsa canker (AVC) is a devastating disease of apple (Malus × domestica), caused by Valsa mali (Vm). The Cysteine-rich secretory protein, Antigen 5, and Pathogenesis-related protein 1 (CAP) superfamily protein PATHOGENESIS-RELATED PROTEIN 1-LIKE PROTEIN c (VmPR1c) plays an important role in the pathogenicity of Vm. However, the mechanisms through which it exerts its virulence function in Vm-apple interactions remain unclear. In this study, we identified an apple valine-glutamine (VQ)-motif-containing protein, MdVQ29, as a VmPR1c target protein. MdVQ29-overexpressing transgenic apple plants showed substantially enhanced AVC resistance as compared with the wild type. MdVQ29 interacted with the transcription factor MdWRKY23, which was further shown to bind to the promoter of the jasmonic acid (JA) signaling-related gene CORONATINE INSENSITIVE 1 (MdCOI1) and activate its expression to activate the JA signaling pathway. Disease evaluation in lesion areas on infected leaves showed that MdVQ29 positively modulated apple resistance in a MdWRKY23-dependent manner. Furthermore, MdVQ29 promoted the transcriptional activity of MdWRKY23 toward MdCOI1. In addition, VmPR1c suppressed the MdVQ29-enhanced transcriptional activation activity of MdWRKY23 by promoting the degradation of MdVQ29 and inhibiting MdVQ29 expression and the MdVQ29-MdWRKY23 interaction, thereby interfering with the JA signaling pathway and facilitating Vm infection. Overall, our results demonstrate that VmPR1c targets MdVQ29 to manipulate the JA signaling pathway to regulate immunity. Thus, this study provides an important theoretical basis and guidance for mining and utilizing disease-resistance genetic resources for genetically improving apples.

Melatonin alleviates cadmium toxicity by regulating root endophytic bacteria community structure and metabolite composition in apple.

The level of cadmium (Cd) accumulation in orchard soils is increasing, and excess Cd will cause serious damage to plants. Melatonin is a potent natural antioxidant and has a potential role in alleviating Cd stress. This study aimed to investigate the effects of exogenous melatonin on a root endophyte bacteria community and metabolite composition under Cd stress. The results showed that melatonin significantly scavenged the reactive oxygen species and restored the photosynthetic system (manifested by the improved photosynthetic parameters, total chlorophyll content and the chlorophyll fluorescence parameters (Fv/Fm)), increased the activity of antioxidant enzymes (the activities of catalase, superoxide dismutase, peroxidase and ascorbate oxidase) and reduced the concentration of Cd in the roots and leaves of apple plants. High-throughput sequencing showed that melatonin increased the endophytic bacterial community richness significantly and changed the community structure under Cd stress. The abundance of some potentially beneficial endophytic bacteria (Ohtaekwangia, Streptomyces, Tabrizicola and Azovibrio) increased significantly, indicating that the plants may absorb potentially beneficial microorganisms to resist Cd stress. The metabolomics results showed that melatonin significantly changed the composition of root metabolites, and the relative abundance of some metabolites decreased, suggesting that melatonin may resist Cd stress by depleting root metabolites. In addition, co-occurrence network analysis indicated that some potentially beneficial endophytes may be influenced by specific metabolites. These results provide a theoretical basis for studying the effects of melatonin on the endophytic bacterial community and metabolic composition in apple plants.

Glucose uptake from the rhizosphere mediated by MdDOF3-MdHT1.2 regulates drought resistance in apple.

In plants under drought stress, sugar content in roots increases, which is important for drought resistance. However, the molecular mechanisms for controlling the sugar content in roots during response to drought remain elusive. Here, we found that the MdDOF3-MdHT1.2 module-mediated glucose influx into the root is essential for drought resistance in apple (Malus × domestica). Drought induced glucose uptake from the rhizosphere and up-regulated the transcription of hexose transporter MdHT1.2. Compared with the wild-type plants, overexpression of MdHT1.2 promoted glucose uptake from the rhizosphere, thereby facilitating sugar accumulation in root and enhancing drought resistance, whereas silenced plants showed the opposite phenotype. Furthermore, ATAC-seq, RNA-seq and biochemical analysis demonstrated that MdDOF3 directly bound to the promoter of MdHT1.2 and was strongly up-regulated under drought. Overexpression of MdDOF3 in roots improved MdHT1.2-mediated glucose transport capacity and enhanced plant resistance to drought, but MdDOF3-RNAihr apple plants showed the opposite phenotype. Moreover, overexpression of MdDOF3 in roots did not attenuate drought sensitivity in MdHT1.2-RNAi plants, which was correlated with a lower glucose uptake capacity and glucose content in root. Collectively, our findings deciphered the molecular mechanism through which glucose uptake from the rhizosphere is mediated by MdDOF3-MdHT1.2, which acts to modulate sugar content in root and promote drought resistance.

Kutu Sisik pada Tanaman Apel di Kecamatan Bumiaji, Kota Batu

Scale lice have attacked apple fields in 8 villages in Bumiaji District, Batu City, namely Giripurno, Tulungrejo, Pandanrejo, Sumbergondo, Bulukerto, Punten, Gunungsari, and Bumiaji villages since 2005. Knowledge of the biological aspects of this pest can be done using sticky bands. This is aimed at controlling pests. Determination of sample plants was carried out systematically as many as 18 sample plants on manalagi apple (Malus sylvestris). The sample plants were apple plants that were attacked by scale lice. The type of adhesive treatment was adjusted to the variation of position (east, west, central) and research height (1m and 1.5m). The results obtained were that the pest found was Diaspidiotus perniciosus and the natural enemy found was Encarsia strenua. The part that has the most attacks is the stem/twig. The eastern branch with a height of 1.5 m has a higher even distribution of scale lice than the other parts. The highest dominance index (C) of scale lice of 0.29 was obtained by the middle-adhesive treatment of height 1m or rootstock. The pattern of population distribution based on sticky bands is random and tends to be individualistic.
 Keywords: apple plant, diaspididae, scale lice

Formulated hydroxy fatty acids from fruit pomaces reduce apple scab development caused by Venturia inaequalis through a dual mode of action.

The outermost hydrophobic layer of plants, i.e. the cuticle, is mainly composed of cutin, a polyester of hydroxy fatty acids with reported eliciting and/or antimicrobial activities for some of them. By-products of the fruit processing industry (fruit pomaces), often strongly enriched in cuticular material, are therefore a potential source of bioactive compounds for crop protection against pathogen attack. We investigated the utilization of tomato and apple pomaces in the development of a cutin-based biocontrol solution against apple scab, a major apple disease caused by Venturia inaequalis. Several cutin monomer extracts obtained through different strategies of depolymerization and purification were first compared for their ability to induce a targeted set of defense genes in apple seedlings after foliar application. After a step of formulation, some extracts were chosen for further investigation in planta and in vitro. Our results show that formulated cutin monomers could trigger a significant transcriptome reprogramming in apple plants and exhibit an antifungal effect on V. inaequalis. Cutin monomers-treated apple seedlings were significantly protected against infection by the apple scab agent. Altogether, our findings suggest that water-dispersed cutin monomers extracted from pomaces are potential new bio-based solutions for the control of apple scab.

Exploration of a multifunctional biocontrol agent Streptomyces sp. JCK-8055 for the management of apple fire blight.

Apple fire blight, caused by the bacterium Erwinia amylovora, is a devastating disease of apple and pear trees. Biological control methods have attracted much attention from researchers to manage plant diseases as they are eco-friendly and viable alternatives to synthetic pesticides. Herein, we isolated Streptomyces sp. JCK-8055 from the root of pepper and investigated its mechanisms of action against E. amylovora. Streptomyces sp. JCK-8055 produced aureothricin and thiolutin, which antagonistically affect E. amylovora. JCK-8055 and its two active metabolites have a broad-spectrum in vitro activity against various phytopathogenic bacteria and fungi. They also effectively suppressed tomato bacterial wilt and apple fire blight in in vivo experiments. Interestingly, JCK-8055 colonizes roots as a tomato seed coating and induces apple leaf shedding at the abscission zone, ultimately halting the growth of pathogenic bacteria. Additionally, JCK-8055 can produce the plant growth regulation hormone indole-3-acetic acid (IAA) and hydrolytic enzymes, including protease, gelatinase, and cellulase. JCK-8055 treatment also triggered the expression of salicylate (SA) and jasmonate (JA) signaling pathway marker genes, such as PR1, PR2, and PR3. Overall, our findings demonstrate that Streptomyces sp. JCK-8055 can control a wide range of plant diseases, particularly apple fire blight, through a combination of mechanisms such as antibiosis and induced resistance, highlighting its excellent potential as a biocontrol agent. KEY POINTS: • JCK-8055 produces the systemic antimicrobial metabolites, aureothricin, and thiolutin. • JCK-8055 treatment upregulates PR gene expression in apple plants against E. amylovora. • JCK-8055 controls plant diseases with antibiotics and induced resistance.

CONTRIBUTIONS TO THE KNOWLEDGE OF COCCINELID SPECIES (COLEOPTERA - COCCINELIDAE) FROM APPLE, CORN AND CABBAGE CROPS

The observations were made in 2020 in cabbage and corn crops as well as in some apple plantations in two stationary. In the Ezareni stationary belonging to the Didactic Station of USV Iasi, the experimental plots were selected for the corn culture, and in the Vasile Adamachi farm belonging to the Iasi Didactic Station, traps were placed in the cabbage crop as well as in the apple orchard.To collect the biological material, the soil traps- type Barber, were used the wet type traps in which was used a 20% NaCl solution.From the collected material, the species of coccinellids were selected and determined with the help of Reitter, Gâdei P., etc. determinants book , or source of internet sites.The most frequently collected coccinelid species were: Coccinella septempunctata, Propylea quatardecimquttata, Harmonia axyridis, Hippodamia variegata.

Influence of Plasma-Activated Water on Foliar and Fruit Micronutrient Content and Plant Protection Efficiency

Foliar fertilizing is very important to supply apple plants with calcium and micronutrients. The most cost-effective approach to this is the application of the fertilizers in tank mixtures with plant protection chemicals. Plasma-activated water (PAW) has great potential for the use in the agriculture. We used two type of PAWs, PAW1 (made using underwater electrical discharge in an aqueous KNO3 solution and includes reactive nitrogen species and platinum nanoparticles) and PAW2 (made using a plasma torch with nitrogen gas makeup and contains reactive nitrogen species but not metals). We studied the impact of two PAW types on the contents of Ca, B, Mn, Fe, and Co in leaves and Ca, Mn, Fe, Zn, and Mo in fruits sprayed with tank mixtures containing the fertilizers. We also tested the efficiency of PAW in the control of apple scab when applied as tank mixtures with plant protection chemicals. The application of the PAWs significantly increased foliar Ca when the PAW was mixed with Ca-containing formulations (spraying PAW1 containing Ca increased leaf Ca by up to 21%, and PAW2 up by to 9% compared to Ca spraying without PAW). The largest fruit Ca increase was in the variant treated with PAW1 with a micronutrient spraying program (up to 143%). The PAW treatments enhanced the baseline mineral contents of the plants even when they were not sprayed with the nutrients. PAW1 mainly increased the nutrient contents of the apple fruits. PAWs have proven to be efficient for the control of apple scab, thereby reducing the demand for fungicides. The scab damage to the leaves and fruits was similar in plants treated with PAWs without fungicides (1.7–1.9% on the leaves and 1.6–1.8% on the fruits) compared to the conventional chemical scab control (0.9% leaves and 0.6% fruits) and was significantly lower than in the untreated control (9.3% on leaves and 11.9 on fruits).

Disease suppression, growth promotion and colonization attributes of resident endophytic bacteria against white root rot (Dematophora necatrix Hartig) of apple.

The inherent potential of apple plants was investigated to explore bacterial endophytes and their role in suppressing Dematophora necatrix,the causative pathogen of white root rot disease. Resultantly 34 endophytic bacteria isolated from healthy apple plants, and subsequently 6 most efficient isolates viz., Bacillus megaterium strain EA3, Enterobacter sp. strain EA7, Bacillus megaterium strain EK2, Stenotrophomonas maltophilia strain EK6, Acinetobacter nosocomialis strain ES2 and Pseudomonas aeruginosa strain ES8 depicting anti-pathogen interactions through preliminary screening were assessed further under in vitro, glasshouse and field conditions against white root rot pathogen/disease. Maximum mycelial growth inhibition (80.37%) was obtained with S. maltophilia strain EK6 encouraging for its seed treatment and soil application thereby providing significant effective control (87.91%) of white root rot under glasshouse conditions to other five bacterial endophytes evaluated simultaneously, followed by field efficacy of 83.70%. In addition, it has significantly enhanced the growth parameters of apple trees under both glasshouse and field conditions. The inoculated healthy plants were assessed for endophytic colonization which revealed maximum endosphere colonialism by S. maltophilia strain EK6. Additionally, confocal microscopic images of transverse sections of root cells colonized by bacterial endophytes as compared to untreated control implied their persistence and establishment in endosphere of apple seedlings. The study provides the first report on interaction between apple associated bacterial root endophytes and D. necatrix. The obtained endophytic strains could be employed as alternative for mitigating white root rot disease in future.

Sistem Pakar Untuk Mengidentifikasi Hama Dan Penyakit Pada Tanaman Apel Menggunakan Metode Dempster Shafer

In this study, the identification of pest and disease attack on apple plant on with case study in Balitjestro. The problem faced is the difficulty of determining the information of pests or diseases that attack on apple plants that must meet an expert directly, it takes a long time and cost. The purpose of this study is to accelerate the information obtained from the identification of pests and diseases of the apple plant and its solution without having to meet an expert. Types of pests and diseases that is in pests are Green Lice, Mites, Trips, Leaf Cats, Leaf Sucking Insects, Black Leaf Caterpillars and Fruit Flies. In the disease there are Flour Powder, Leaf Spot, Upas Mushroom, Cancer and Rotten Fruit. From pest and disease data, all symptom data is 38 data. To get the information, made Expert System. Expert system in this study to determine the results of identification using Dempster Shafer calculation method. Demster Shafer is one of the mathematical theories used to perform a proof that is based on the function of trust and also logic makes sense. At the test stage yields an accuracy value of 100%. However there is one test of the expert only producing one and the results of the system show more than one. But one of the results given by the system is the same as the result given by an expert, then it is justified.

MdASMT9-mediated melatonin biosynthesis enhances basal thermotolerance in apple plants.

High temperatures negatively impact the yield and quality of fruit crops. Exogenous melatonin (MT) application has been shown to enhance heat tolerance, but the response of endogenous MT to heat stress, particularly in perennial fruit trees, remains unclear. The present study investigated the effects of high temperatures on transgenic apple plants overexpressing the MT biosynthesis gene N-acetylserotonin methyltransferase 9 (MdASMT9). Endogenous MT protectedtransgenic plants from heat stress by increasing antioxidant enzyme activity and scavenging reactive oxygen species (ROS), and protecting the chloroplasts from damage. Application of MT and overexpression of MdASMT9 also reduced abscisic acid accumulation through promoting MdWRKY33-mediated transcriptional inhibition of MdNCED1 and MdNCED3, thus inducing stomatal opening for better heat dissipation. Furthermore, MT-enhanced autophagic activity through promoting MdWRKY33-mediated transcriptional enhancement of MdATG18a under heat stress. These findings provide new insights into the regulation of endogenous MT and its role in improving basal thermotolerance in perennial fruit trees.

УСТОЙЧИВОСТЬ ЯБЛОНИ К ВЫСОКОТЕМПЕРАТУРНОМУ СТРЕССУ

Under unstable climatic conditions, the resistance of apple trees to high temperatures is an important varietal trait. The aim of the research is to identify heat resistance indicators of different apple varieties in a heat chamber for dry air treatment. The heat treatment of the varieties Antonovka Obyknovennaya, Lobo, Rozhdestvenskoe, Bolotovskoe, Kandil Orlovskiy, Imrus was carried out in a heat chamber at the temperature of +38°С and air humidity of 40% for 90 days. For the heat treatment, 2-year-old apple plants were used. Higher heat resistance was observed in the Lobo variety compared to the other varieties studied. The apple varieties were characterized by medium (Lobo, Rozhdestvenskoe) and high (Bolotovskoe, Imrus, Antonovka Obyknovennaya, Kandil Orlovskiy) water content, high water losses after a simulated heat shock, increased (Kandil Orlovskiy) and high (Bolotovskoe, Imrus, Antonovka Obyknovennaya, Lobo, Rozhdestvenskoe) wa- ter deficit, high degree of restoration of leaf water content. The proposed heat resistance coefficient was characterized by a strong degree of association with water loss (r = –0.97) and a moderate degree of association with water content restoration (r = 0.65). Apple plants had a high survival rate after thermotherapy, which was 92.3%.

A mosaic pattern of apple orchards and farmland affects the distribution of soil water and nutrients in their adjacent areas on the Chinese Loess Plateau

With the vigorous promotion of apple tree planting on the Chinese Loess Plateau (CLP), a mosaic pattern of apple orchards and traditional farmland has emerged in the region. However, the interaction between adjacent farmland and apple orchards in terms of soil water and nutrient migration remains unclear. This study aimed to investigate the spatial distribution of the soil water content (SWC) and soil nutrients, as well as their interactions, in 0–10 m soil layers of apple orchards of different stand ages and adjacent farmland under the orchard-farmland land use pattern. The results revealed a significant decrease in average-depth SWC in the orchards in the 0–10 m soil profile (R2 = 0.90) with increasing orchard age, accompanied by a significant increase in soil water deficit (SWD, R2 = 0.94). The annual growth rate of SWD was found to be as high as 5.94 mm·m−1·y−1. Deep soil and surrounding farmland were identified as important sources of soil water for apple tree growth, particularly in older orchards; a 25-year-old orchard absorbed approximately 10.8 % of soil water towards farmland with a horizontal distance of 7 m. The distribution of soil organic carbon (SOC) and total nitrogen (TN) in the 0–10 m soil profile exhibited a similar pattern, decreasing and then stabilizing with increasing depth. However, the peak depth and accumulation of soil nitrate (NO3–-N) significantly increased with orchard age. The migration and accumulation of NO3–-N in the soil provided a scientific basis for the transport of soil water, with NO3–-N accumulation (405.32 mg kg−1) observed in the deep soil (3–6 m) of farmland located 5 m away from a 30-year-old orchard, confirming the exchange of soil water and nutrients between the orchard and the farmland. The stand age of the orchards was identified as the main environmental factor influencing soil water transport under the orchard-farmland land use pattern. Overall, our findings provide valuable insights into the interaction between apple orchards and farmland under the mosaic pattern, which can contribute to a more rational layout of apple orchards and farmland in the future, promoting the efficient utilization of soil water and nutrients on the CLP.

Biochemical composition of fruit must from small-fruit apple varieties grown in the Southern Baikal Region

Most climatic zones of the Russian Federation include vast apple plantations that serve as the primary source of raw materials for the production of cider and fruit alcoholic beverages. The technological potential of new apple varieties in the production of fruit alcoholic beverages is understudied. The present study aims to examine the chemical composition (including the fractional composition of sugars and organic acids) of fruit must from small-fruit apple varieties grown in the Southern Baikal region and to identify the most suitable varieties for cider production.The biochemical composition of must was determined via conventional methods as per state standards. Smallfruit semi-cultivars grown in the Southern Baikal Region are characterized by variability in the content of extractive substances. In different years, the fruit of the same variety accumulates different amounts of dissolved solids (12.5–14.5%), primarily sugars (109.3–135.3 g/dm3). Among sugars, fructose is the most abundant (over 50%), followed by glucose. The proportion of disaccharides in the composition of sugars in the fruits of different varieties ranges from 9.1 to 21.5%. The concentration of organic acids in the studied varieties ranges from 7.2 to 13.0 g/dm3. The detected organic acids include malic acid (up to 83.4%), citric acid (up to 6.7%), lactic acid (up to 6.4%), succinic acid (up to 2.5%), as well as trace amounts of tartaric and acetic acids. The amount of phenolic compounds in the specimens varies from 522.5 to 1704.6 mg/dm3. The studied semi-cultivars were classified as sharp and bittersharp cider apple varieties.

A System for Identifying Deficiency Elements in Apple Leaf Disease Based on Deep Learning

Background: Plant diseases and pests were natural disasters that seriously threaten agricultural production. Leaf diseases posed a significant threat to the overall productivity and quality of apple orchards. Currently, the diagnosis of plant diseases in apple orchards mainly relied on manual labor, which was both time-consuming and costly. It took a considerable amount of time to train an expert capable of accurately identifying apple diseases and pests, and different crop diseases vary. However, with the use of AI technology, training could be completed in just a few hours to a day, transforming computers into experts in disease and pest identification. Although China became a major apple cultivation nation, the development data from 2021 revealed that traditional advantageous production areas were undergoing dynamic adjustments due to optimization of industrial structure, leading to a decrease in cultivated land. Conversely, the demand for apples in the Chinese market continued to rise, even as the country's population structure gradually trended towards an aging population. This situation underscored the urgent need to replace the laborious and high-cost task of identifying apple foliar diseases in the cultivation process with intelligent agricultural technological solutions. Taking into account the aforementioned factors of the natural environment and socio-cultural considerations and addressing the issue of reduced apple yields due to the high impact of foliar diseases, we initiated study on disease prevention and control during the cultivation process. Methods: To overcome the objective impact of environmental factors, the system extracted images and performed operations such as enhancement and segmentation. Subsequently, a convolutional neural network was employed to process the enhanced images, extracting features such as color, shape, and texture of apple foliar lesions, which were then summarized into histograms using mathematical methods. These histograms served as the primary reference for distinguishing various diseases. Python was chosen as the programming language for the system, and the recognition system was operated by integrating frontend technologies, backend database design, and other relevant techniques. Results: Based on a substantial number of experimental results, the apple leaf disease and nutrient deficiency recognition system could accurately and with extremely high precision identifying major diseases commonly occurring in apple plants, including apple scab, leaf spot disease, rust disease, gray mold disease, and brown spot disease. Moreover, the system was capable of proposing remedies tailored to the specific pain points of each disease. It not only detected apple leaf diseases but also performs nutrient deficiency detection. This holds significant importance in enhancing both the yield and quality of apples. Conclusion: For the commonly occurring foliar diseases in cultivation, the system exhibited the capability to autonomously recognize and provide decision feedback. In contrast to the less efficient and more costly traditional approach of consulting experts, the more accessible apple foliar disease recognition system was poised to replace it as a primary tool for prevention and control assistance. This system will serve as a guiding companion, safeguarding the robust growth of apple plants.