Apple Quality Research Articles

The effect of cold plasma treatment on quality attributes and shelf life of apples

The effectiveness of atmospheric air dielectric barrier discharge (DBD) cold plasma was compared with existing decontamination methods for improving the quality and shelf life of apples. The samples were stored in two different storage conditions (ambient, 27 ± 3 °C; and cold, 10 ± 1 °C) to check the effect of storage temperature on their shelf life. The microbial load on the apples was reduced after all the treatments, and samples stored at 10 ℃ showed a higher reduction in microbial load with increased shelf life. The polyphenol oxidase (PPO) and phenylalanine ammonia-lyase (PAL) enzyme activities showed a significant reduction after cold plasma treatment; however, peroxidase (POD) activity showed a lower reduction than PPO and PAL enzymes. Color changes evaluated using L*, a*, and b* values showed higher retention for the red color in the treated samples compared to control samples, and the firmness of all treated samples was maintained throughout the storage period. The total phenolic content (TPC) increased after cold plasma treatment and carotenoid content was retained in the treated samples. In addition, the present study demonstrated that the novel cold plasma decontamination method was more effective in reducing the pesticides (Malathion, Fenthion, and Chlorpyrifos) from the apple surfaces than the conventional methods. Cold plasma can be a better alternative for decontaminating apples; however, other hurdles may be required to increase their shelf life further.

Effects of Different Pre-Harvest Bagging Times on Fruit Quality of Apple.

Pre-harvest bagging can improve fruit color and protects against diseases. However, it was discovered that improper bagging times could lead to peel browning in production. Using the Ruixue apple variety as the research model, a study was conducted to compare the external and internal quality of fruits bagged at seven different timings between 50 and 115 days after full bloom (DAFB). Our findings indicate that delaying the bagging time can reduce the occurrence of peel browning in Ruixue apples. Compared to the control, the special bag reduced the browning index by 22.95%. However, the fruit point index of Ruixue fruits increased by 65.05% at 115 DAFB compared to 50 DAFB when bagging was delayed. The chlorophyll content of Ruixue fruits in special bags generally increased and then decreased, with the highest chlorophyll content of Ruixue fruits in special bags at 90 DAFB, which was 26.02 mg·kg-1. When the bagging process was delayed, the soluble solids, total phenols, and flavonoids content in the fruits increased, while the number of control volatiles decreased by 10. After two years of testing, results show that using special fruit bags at 90 DAFB bagging can significantly improve the fruit quality of Ruixue apple.

Localization of Dielectric Anomalies with Multi-level Outlier Detection through Membership Function and Ensemble Classification Framework

This research presents an innovative method for real-time detection of dielectric anomalies, with a primary focus on evaluating apple quality and ripeness using dielectric tomography. The study involves the development of an advanced tomography system within an anechoic chamber, harnessing electromagnetic wave technology and sophisticated antenna systems for data acquisition. The proposed framework encompasses critical stages, including data collection, range bounds computation, threshold determination, class membership assignment, and ensemble classification. By seamlessly integrating statistical methods, density-based clustering, and ensemble learning, this approach significantly enhances precision and reliability in anomaly detection. The integration of available statistical methods, density-based clustering, and ensemble learning may demand substantial computational resources, limiting the scalability and real-time applicability of the proposed framework. Empirical results demonstrate the superior performance of the method, with an accuracy rate of 98.9%, precision of 0.989, F-measure of 0.989, dielectric anomaly recall rate of 0.99, and a low error rate of 0.18. Overall, this research introduces an advanced approach with the potential to revolutionize apple quality assessment and industrial processes across various sectors.

MdWRKY71 promotes the susceptibility of apple to Glomerella leaf spot by controlling salicylic acid degradation.

Glomerella leaf spot (GLS), a fungal disease caused by Colletotrichum fructicola, severely affects apple (Malus domestica) quality and yield. In this study, we found that the transcription factor MdWRKY71 was significantly induced by C. fructicola infection in the GLS-susceptible apple cultivar Royal Gala. The overexpression of MdWRKY71 in apple leaves resulted in increased susceptibility to C. fructicola, whereas RNA interference of MdWRKY71 in leaves showed the opposite phenotypes. These findings suggest that MdWRKY71 functions as a susceptibility factor for the apple-C. fructicola interaction. Furthermore, MdWRKY71 directly bound to the promoter of the salicylic acid (SA) degradation gene Downy Mildew Resistant 6 (DMR6)-Like Oxygenase 1 (DLO1) and promoted its expression, resulting in a reduced SA level. The sensitivity of 35S:MdWRKY71 leaves to C. fructicola can be effectively alleviated by knocking down MdDLO1 expression, confirming the critical role of MdWRKY71-mediated SA degradation via regulating MdDLO1 expression in GLS susceptibility. In summary, we identified a GLS susceptibility factor, MdWRKY71, that targets the apple SA degradation pathway to promote fungal infection.

Apple Perfection: Assessing Apple Quality with Waterwheel Plant Algorithm for Feature Selection and Logistic Regression for Classification

Apple Perfection: Assessing Apple Quality with Waterwheel Plant Algorithm for Feature Selection and Logistic Regression for Classification

基于改进 YOLOv7 的苹果叶病害目标检测

Apple leaf diseases significantly threaten the yield and quality of apples. In order to detect apple leaf diseases in a timely and accurate manner, this study proposed a detection method for apple leaf diseases based on an improved YOLOv7 model. The method integrated a Similarity-based Attention Mechanism(SimAM) into the traditional YOLOv7 model. Additionally, the regression loss function is modified from Complete Intersection over Union (CIoU) to Structured Intersection over Union (SIoU). Experimental results demonstrates that the improved model exhibits an overall recognition precision of 92%, a recall rate of 99%, and a mean average precision (mAP) of 96.1%. These metrics show a respective improvement of 14.4%, 38.85%, and 18.69% compared to the preimproved YOLOv7. When compared with seven other target detection models in comparative experiments, the improved YOLOv7 model achieves higher accuracy, lower rates of missed and false detections in disease target detection. The model excels in detecting disease categories in complex environments and identifying small targets at early disease stages. It can provide technical support for effective detection of apple leaf diseases.

NIR technology for non-destructive monitoring of apple quality during storage

NIR technology for non-destructive monitoring of apple quality during storage

Optimizing deficit drip irrigation to improve yield,quality, and water productivity of apple in Loess Plateau of China

ContextDeficit drip irrigation is an advanced agricultural technology widely promoted and applied around the world to maintain/increase yield and quality while simultaneously minimizing water consumption. However, there is still a lack of comprehensive research on the effects of deficit drip irrigation at different stages on apple yield, water productivity, and quality. ObjectiveThe aim was to investigate the effects of deficit drip irrigation treatments (DDITs) on apple yield, quality, and water productivity (WP), and optimize the deficit drip irrigation strategy for apples in the Loess Plateau of China. Methodsa two-year field experiment was conducted with 17 irrigation treatments, including a control treatment (CK, full irrigation (FI)) and four DDITs (D15%, D30%, D45%, D60%) during the bud burst to leafing stage (I), flowering to fruit set stage (II), fruit expansion stage (III), and fruit maturation stage (IV). The optimal irrigation management was determined using the fuzzy Borda combined model, which was based on four different single evaluation models of the TOPSIS method, principal component analysis (PCA), grey correlation analysis (GCA), and membership function analysis (MFA). ResultsThe DDITs at stage IV decreased midday leaf water potential (Ψs) by 2.57–20.00% compared with CK, and the difference of Ψs between IV-D30%, IV-D45%, IV-D60%, and CK were significant in two years (P<0.05). DDITs at stages I, II, and IV improved fruit weight (FW), fruit shape index (FSI), and fruit firmness (FN), but did not significantly affect fruit water content (FWC). The DDITs at stages III and IV significantly enhanced total soluble solids (TSS), soluble sugars (SS), and vitamin C (Vc) in 2021 and 2022, but a notable decrease in titratable acidity (TA) was observed. ConclusionsDDITs at stage IV exhibited the highest comprehensive benefit of apple, followed by DDITs at stages I and II, and DDITs at stage III had the lowest values. The DDITs of D15%, D30%, CK, and D15% at stages I, II, III, and IV were identified as the optimal irrigation strategy to improve apple yield, quality, and WP. ImplicationsOur findings can guide the development of appropriate irrigation strategies for apple cultivation in Loess Plateau of China, promoting efficient and sustainable apple production.

Study on interaction effect between root and soil of apple tree

As an important organ for plant absorption, channelling, synthesis, storage, secretion, regulation, fixation and support, root system plays an important role in plant growth and development. The root system is particularly important for perennial tree trees, it is the base and center of the overall development of the tree. Although people are well aware of the interrelationship between above and below ground growth, especially under adverse soil conditions, they encounter various problems involving water, nutrients and ecology, which affect the development state of apple tree roots, and thus restrict the effectiveness of apple tree production. However, under the conditions of field production, the root system of apple trees is affected by soil physicochemical properties, biological ecological factors and their trees The combined influence of the other parts of the body shows the extreme complexity of the biological space-time effect, and The root system is distributed underground, perennial, with complex structure and huge system, which makes the observation and research more difficult It is difficult, so people's research on it is far less in-depth, systematic and comprehensive than that on the ground. Soil management measures in agricultural production work through the root system, which directly determines the development state and production level of apple trees. Therefore, this paper provides theoretical basis and technical support for the healthy and sustainable development of apple industry and fundamental guarantee for the healthy and sustainable development of apple by summarizing the research progress of the root-soil effect of apple trees. Apple trees are an important part of agriculture. With the adjustment of rural industrial structure and the opening of agricultural products market, planting apple trees according to local conditions has brought considerable economic benefits to farmers. Apple trees have strong adaptability, not only can be planted in plain areas, but also can grow in hills, deserts and other areas. Apple trees can not only increase income, but also prevent soil erosion, increase green space coverage, and regulate microclimate. In addition, the apple contains a variety of essential nutrients for human growth and development, and the apple itself and its seeds also have medicinal effects. With the development of social economy and the improvement of people's living standards, the demand for apple is increasing, and the quality of apple is also put forward higher requirements. Nutrients, water and temperature are the main factors affecting apple quality, but soil management, pruning and ecological factors also directly or indirectly affect apple quality. Among them, roots are the only bridge between apple trees and the interaction of water, fertilizer, gas and heat in the soil. The water and nutrients required for the growth and development of apple trees and various physiological active substances synthesized are completed by roots. The distribution form of roots can reflect the utilization and productivity of substances and energy in the soil by apple trees, and the root system also has the potential to improve apple quality.

Farmers’ Perceptions of the impact of climate change on apple production in lower Mustang, Nepal

Undoubtedly, climate change is becoming a worldwide concern due to its great sensitivity and detrimental effects on livelihood. The government, policymakers, and other relevant stakeholders are striving to come up with novel and innovative approaches to combat the effects of climate change. Nevertheless, understanding and perceptions of the issue among local farmers are more crucial before making mitigation or adaptation plans. It’s them who are actually more exposed to these environmental works and who are on the frontlines of climate change. So, the study was conducted in 2022 at Lower Mustang to understand how farmers perceive climate change, how it has impacted apple production, and to find discrepancies between their perceptions and the actual change in climatic variability recorded by the Department of Hydrology and Meteorology (DHM). Temperature and precipitation were two climatic variables that were taken into account to investigate the significant effects they have on the rate of apple production. Altogether, 60 households from Lower Mustang were selected randomly for the study. Pre-tested interviews, focus group discussions, key informant interviews, as well as secondary data from DHM, the Ministry of Agriculture and Livestock Development (MoALD), etc. were used to collect the required information. The majority of farmers observed an increase in temperature (83.30%) and an unpredictable increase in rainfall (98%), which are consistent with the actual change in temperature and precipitation recorded between 1991 and 2021. Findings show that the average annual temperature and mean annual precipitation are increasing at a rate of 0.012°C per year and 0.4146 mm per year, respectively. This has resulted in the outbreak of significant amounts of diseases and insect pest infestations that have a direct impact on the quality and quantity of apples. The majority of farmers acknowledged that rainfall was the most significant climatic hazards that negatively impacted apple production, followed with hailstones having an impact on apples during flowering and fruiting. Farmers in the study area are limited to intercropping practices, mostly as an adaptation strategy to combat the impacts of climate change. The study concluded that farmers perceived climate change; they are aware of the term ‘Climate Change’ but haven’t taken any significant adaptation measures towards it. So, there is an immediate need for effective adaptation mechanisms, taking into account farmers' perspectives, to make Lower Mustang self-sufficient in apple production.

Optimization of irrigation and fertilization of apples under magnetoelectric water irrigation in extremely arid areas.

Apple (Malus pumila Mill.) is one of the important economic crops in the arid areas of Xinjiang, China. For a long time, there has been a problem of high consumption but low yield in water and fertilizer management, prevent improvements in apple quality and yield. In this study, 5-year-old 'Royal Gala' apple trees in extremely arid areas of Xinjiang were used as experimental materials to carry out field experiments. considering 5 irrigation levels (W1, 30 mm; W2, 425 mm; W3, 550 mm; W4, 675 mm; W5, 800 mm) and 5 fertilization levels (F1, 280 kg·ha-1; F2, 360 kg·ha-1; F3, 440 kg·ha-1; F4, 520 kg·ha-1; F5, 600 kg·ha-1) under magnetoelectric water irrigation conditions. The results demonstrated that magnetoelectric water combined with the application of 675 mm irrigation amount and 520 kg·ha-1 fertilization amount was the most effective combination. These results occurred by increasing net photosynthetic rate of apple leaves, improved the quality of apples, increased apple yield, and promoted the improvement of water and fertilizer use efficiency. Additionally, the quadratic regression model was used to fit the response process of yield, IWUE and PFP to irrigation amount and fertilization amount, and the accuracy was greater than 0.8, indicating good fitting effects. The synergistic effect of water and fertilizer has a positive effect on optimizing apple water and fertilizer management. Principal component analysis showed that the magnetoelectric treatment combined water and fertilizer mainly affected apple yield, water and fertilizer use efficiency and vitamin C content related to quality. This study provides valuable guidance for improving water and fertilizer productivity, crop yield and quality in extreme arid areas of Xinjiang by using Magnetoelectric water irrigation.

Nondestructive determination of edible quality and watercore degree of apples by portable Vis/NIR transmittance system combined with CARS-CNN

Nondestructive determination of edible quality and watercore degree of apples by portable Vis/NIR transmittance system combined with CARS-CNN

Effect of plant bio stimulant application on plant health, growth, fruit yield and quality of apple (Malus x domestica) under temperate conditions of Jammu and Kashmir, India

Effect of plant bio stimulant application on plant health, growth, fruit yield and quality of apple (Malus x domestica) under temperate conditions of Jammu and Kashmir, India

Research on the upgrade and maintenance method of apple soluble solids content models

AbstractIn this paper, 3 years (2020, 2021, and 2022) of Bingtangxin apples were used to study the upgrade and maintenance method of apple soluble solids content (SSC) model using near infrared (NIR) spectroscopy. Modeling by partial least squares (PLS) and one‐dimensional convolutional neural network (1D‐CNN) algorithm. The “base model” is built with apples in 2020 and then upgrade and maintain it. The upgraded model is used to predict the sample in 2021 and 2022. Three methods were used to upgrade and maintenance the model, which are based on updated data, direct correction‐based method, and similar band‐based method. Among the three upgrade methods, the model maintenance method using updated data had the greatest improvement in prediction correlation coefficients (Rp) in both years, and both obtained good predictions. The use of direct correction resulted in the greatest reduction in the root mean square error of prediction (RMSEP) in both years. However, the Rp of the model is not improved much by using the direct correction method. The model maintenance method using similar bands combined with different modeling methods also gives good prediction results. Finally, after comparison, the model maintenance method of selecting similar bands is preferred. In the case of limited improvement in the effect of using the similar band method, the model is maintained using the method of adding updated data. The investigation of model upgrade and maintenance methods can reduce human and material consumption and make apple SSC models more versatile.Practical applicationsNIR technology is the first choice for online fruit quality inspection, but its inspection process requires constant upgrading and maintenance with models. The quality of apples varies from year to year, and the model built with samples from a single year does not work well in predicting samples from other years, resulting in the need to upgrade and maintain the fruit quality detection model. However, sometimes, although a large amount of experimental material is lost, it still results in a generic calibration model that is too cumbersome and leads to poor prediction results. At this time, finding an effective model upgrade and maintenance method can both reduce the sample consumption and make the model prediction accuracy improve, and also reduce the model complexity and make the maintained model more robust.

Effect of Coating and Coated Paperboard Packaging on the Quality of Grapes and Apple during Storage

Edible coatings and active packaging have become more prevalent in response to changing consumption patterns and market trends to enhance the quality and safety of fresh products. In this work, we investigated the effect of aloe vera gel (AVG) coating and paraffin wax-coated paperboard (PWB) packaging on the postharvest quality attributes of both grapes and apples during storage. The fruits were coated with 50% AVG concentrations, and the inner wall of the corrugated paperboard was coated with paraffin wax emulsion. The grapes and apples were stored for 12 and 35 days, respectively, at ambient conditions (25 ± 3°C and 80–85% relative humidity). The physicochemical properties, microbiological attributes, and decay incidence of the fruits were analyzed at intervals during storage. Both fruits treated with AVG and PWB packaging retained better qualities than the control at the final day of the storage period. Particularly, PWB packaging provided considerably superior quality from the control sample in terms of weight loss (≈54% and 32%), firmness (≈48% and 68%), and color difference (≈30% and 28%) for both grapes and apples. These findings would introduce a novel approach for preserving the quality attributes of both climacteric and nonclimacteric fruits for a prolonged storage period at ambient temperature by PWB packaging and AVG coating.

Effects of TrPLDs on the pathogenicity of Trichothecium roseum infected apple fruit

Phospholipase D plays a critical regulatory role in the pathogenicity of filamentous fungi. However, the molecular mechanism of PLD regulating the pathogenicity of filamentous fungi has not been reported. In this research, the previously constructed TrPLD1 and TrPLD2 (TrPLDs) mutants were used as test strains. Firstly, the function of TrPLDs in Trichothecium roseum was studied. Then, the effects of TrPLDs on the pathogenicity of T. roseum and the quality of the inoculated apples were verified. The results suggested that the deletion of TrPLD1 delayed the spore germination of ΔTrPLD1 and inhibited germ tube elongation by down-regulating the expressions of TrbrlA, TrabaA and TrwetA. By down-regulating the extracellular enzyme-coding gene expressions, ΔTrPLD1 inhibited the degradation of apple fruit cell wall and the change of fatty acid content during infection, reduced the cell membrane permeability and malondialdehyde (MDA) content of apple fruit, thereby maintaining the integrity of fruit cell membrane, and reduced the pathogenicity of ΔTrPLD1 to apple and kept the quality of apple. However, ΔTrPLD2 did not have a significant effect on the infection process of apple fruit by the pathogen.

Effects of Organic Substitution on the Yield and Quality of Apples and Residual Nitrate-N Leaching in Soil

The substitution of chemical nitrogen (N) fertilizer with organic fertilizer (organic substitution, OS) is increasingly applied in crop production, due to its environmentally friendly characteristics, low price, and high crop and soil improvement efficacies. Here, we studied the effects of chemical N fertilizer with organic fertilizer treatment at different proportions (no organic substitution (NOS), 20% (OS-20), 40% (OS-40), 60% (OS-60), 100% (OS-100), and 200% (OS-200, double the organic fertilizer application amount of OS-100) on the yield and quality of apples in the Shanxi Province of China. The results revealed that, compared to the NOS, the total apple yields of OS treatments, especially the OS-60 and OS-100 treatments, decreased. However, all OS treatments, except OS-200, increased the yield of large-sized fruits (transverse diameter ≥ 85 mm) and the mean mass of apple fruits, and significantly decreased yield of small-sized fruits (transverse diameter &lt; 75 mm). All OS treatments, especially OS-40, promoted the total sugar and vitamin C (Vc) contents and fruit hardness of apples, and OS-40, OS-60, and OS-200 resulted in significantly decreased titratable acid contents in apples. The influence of organic substitutions on soil quality was further investigated in a two-year field experiment. The results showed that the influence of organic substitution on soil chemical properties differed between the two years. Notably, 40% OS increased the soil organic carbon (SOC) content and the C/N ratio in the upper 20 cm of the soil in both years. Additionally, OS treatments reduced the residual nitrate (NO3−)-N (RN) content in deep soil layers, suggesting that OS has the potential to alleviate N leaching. Moreover, redundancy analysis (RDA) of the soil, fruit yield, and fruit quality parameters revealed that the SOC content in the 0–20 cm soil layer and the RN content in the 0–100 cm soil layer had the greatest impact on the fruit quality and yield variables, respectively. This study showed that the proper substitution (40%) of chemical N fertilizer with organic fertilizer could improve the yield of large-sized fruits, the mean mass and fruit quality of apples, and soil chemical properties. Our study will provide a basis for rational organic substitution in apple orchards.

Multi-locational study on plant growth regulators to minimize pre-mature fruit drop and maximize postharvest quality of apples

Multi-locational study on plant growth regulators to minimize pre-mature fruit drop and maximize postharvest quality of apples

Effect of foliar application of Ambition: A biostimulant on yield and quality of apple

Effect of foliar application of Ambition: A biostimulant on yield and quality of apple

Relationship of leaf nutrient concentrations on fruit yield and quality of apple

Relationship of leaf nutrient concentrations on fruit yield and quality of apple