Red Fuji Research Articles

Optimizing ‘Red Fuji’ apple quality: Auxin-mediated calcium distribution via fruit-stalk in bagging practices

In apples, a bottleneck effect in calcium (Ca) transport within fruit stalk has been observed. To elucidate that how auxin affects Ca forms and distribution in the apple fruit stalk, we investigated the effects of different concentrations of auxin treatment (0, 10, 20, and 30 mg·L−1) on Ca content, forms, distribution, and fruit quality during later stages of fruit expansion. The results showed that auxin treatment led to a dramatic reduction in total Ca content in stalk, while an approximately 30 % increase in fruit. Furthermore, auxin treatment effectively enhanced the functionality of xylem vessels in vascular bundles of the stalk in bagged apples. Finally, TOPSIS method was used to assess fruit quality, with treatments ranked as follows: IAA20 > NAA20 > IAA30 > IAA10 > CK > NPA. The findings lay a foundation for further studies on the bottleneck in Ca transport within stalk, uneven distribution of Ca in fruit, and provide insights into Ca utilization efficiency in bagged apples.

A haplotype-resolved genome assembly of Malus domestica ‘Red Fuji’

The ‘Red Fuji’ apple (Malus domestica), is one of the most important and popular economic crops worldwide in the fruit industry. Using PacBio HiFi long reads and Hi-C reads, we assembled a high-quality haplotype-resolved genome of ‘Red Fuji’, with sizes of 668.7 and 668.8 Mb, and N50 sizes of 34.1 and 31.4 Mb. About 97.2% of sequences were anchored in 34 chromosomes. We annotated both haploid genomes, identifying a total of 95,439 protein-coding genes in the two haplotype genomes, with 98% functional annotation. The haplotype-resolved genome of ‘Red Fuji’ apple stands as a precise benchmark for an array of analyses, such as comparative genomics, transcriptomics, and allelic expression studies. This comprehensive resource is paramount in unraveling variations in allelic expression, advancing quality improvements, and refining breeding efforts.

Effects of chitosan combined with microbes on blue mold of apples

Investigation on the inhibitory effect of chitosan combined with antagonistic bacteria on pathogenic fungi, at different concentrations on Penicillium expansum were studied in vitro and in vivo with Japanese Red Fuji apples. The chitosan solution with the concentration of 2% had the strongest resistance to Penicillium expansum and blue mold decay without affecting the growth of Bacillus amyloliquefaciens BA-16-8. Both the bacterial suspension and cell-free fermentation liquor of Bacillus amyloliquefaciens BA-16-8 could inhibit Penicillium expansum, and the former is superior to the latter in effect. Bacillus amyloliquefaciens BA-16-8 combined with chitosan can inhibit the activity and toxin-producing ability of Penicillium expansum. Bangladesh J. Bot. 53(1): 25-32, 2024 (March)

Nitrogen Application Timing and Levels Affect the Fate and Budget of Fertilizer Nitrogen in the Apple-Soil System.

This study aimed to determine the effects of the nitrogen (N) application period and level on the fate of fertilizer N and the contribution of N absorption and translocation to apple organ N. Two N application periods (labeled by the 15N tracer technique in spring and summer, represented by SP and SU, respectively) and three N levels (N0, MN, and HN) were used to determine the physiological indexes and aboveground, root, and soil 15N content of 4-year-old dwarf ('Red Fuji'/M9T337) and arborized ('Red Fuji'/Malus hupehensis Rehd.) apple trees. The results showed that HN led to shoot overgrowth, which was not conducive to the growth of the apple root system (root length, root tips, root surface area, and root volume) or the improvement of root activity. The contribution of soil N to apple organ N accounted for more than 50%, and the contribution of N application in summer to fruit N was higher than that in spring. Under HN treatment, the proportion of soil N absorbed by trees decreased, while that of fertilizer N increased; however, the highest proportion was still less than 50%, so apple trees were highly dependent on soil N. Under MN treatment, fertilizer N residue was similar to soil N consumption, and soil N fertility maintained a basic balance. Under HN treatment, fertilizer N residue was significantly higher than soil N consumption, indicating that excessive N application increased fertilizer N residue in the soil. Overall, the 15N utilization rate of arborized trees (17.33-22.38%) was higher than that of dwarf trees (12.89-16.91%). A total of 12.89-22.38% of fertilizer 15N was absorbed by trees, 30.37-35.41% of fertilizer 15N remained in the soil, and 44.65-54.46% of fertilizer 15N was lost. The 15N utilization rate and 15N residual rate of summer N application were higher than those of spring N application, and the 15N loss rate was lower than that of spring N application. High microbial biomass N (MBN) may be one of the reasons for the high N utilization rate and the low loss rate of N application in summer.

Research of ordinal model fusion based apple grading

Near infrared spectrum has been applied for the rapid non-destructive prediction and classification of the internal soluble solids content (SSC) of apples, due to its rapid, non-destructive and non-polluting nature. However, current apple grading methods do not make full use of the orderliness relationship existing in the apple grading labels. Therefore, ordinal model is introduced in the issue of apples grading based on the internal SSC. In details, the orderliness in the classification model is considered and ordinal regression is combined with apple classification model to establish ordered partition neural network and ordinal regression extreme learning machine, respectively. Meanwhile, to address the problems of poor applicability of single prediction model and the grading uncertainty associated with compulsory segmentation of grading boundaries, a Gaussian mass function generating method is proposed based on the distance between the predicted ordinal class labels and the real grading boundaries, and the multiple models can be fused through the Dempster combination rule, making a fuller description of the uncertainty problem on ordinal class labels prediction, providing a research basis for online non destructive testing grading of apples. Finally, the multiple model fusion process is fully demonstrated by simulation examples, the grading accuracy of Yantai Red Fuji apples is also improved than single ordinal model.

Exploring the variability and heterogeneity of apple firmness using visible and near-infrared hyperspectral imaging

In this work, the variability and heterogeneity of apple firmness and their effects on the prediction performances of developed models based on hyperspectral imaging (HSI) at 380–1010 nm were explored. Both the inter-variability of cultivars and the intra-variability of single apples presented intensive changes of firmness. A large heterogeneity of firmness inside single apples was located at the equator of ‘Red Fuji’, the calyx of ‘Cream Fuji’ and the stem of ‘Huaniu’, with the variation coefficient of 15.6%, 15.4% and 17.5%, respectively. Besides, the least square support vector machines (LS-SVM) models based on the HSI spectra from different cultivars and spatial regions had the best prediction performances of firmness, with the Rc2, Rp2 of 0.85 and 0.81, respectively. This study indicated the modelling calibration of apple firmness should particularly consider both apple variability and heterogeneity at the stem, equator and calyx regions to obtain accurate HSI determinations of firmness. Furthermore, the development of a multi-cultivar model for apple fruit is significant, for improving the performance of the firmness model.

Pan-genome analysis of 13 Malus accessions reveals structural and sequence variations associated with fruit traits

Structural variations (SVs) and copy number variations (CNVs) contribute to trait variations in fleshy-fruited species. Here, we assemble 10 genomes of genetically diverse Malus accessions, including the ever-green cultivar ‘Granny Smith’ and the widely cultivated cultivar ‘Red Fuji’. Combining with three previously reported genomes, we assemble the pan-genome of Malus species and identify 20,220 CNVs and 317,393 SVs. We also observe CNVs that are positively correlated with expression levels of the genes they are associated with. Furthermore, we show that the noncoding RNA generated from a 209 bp insertion in the intron of mitogen-activated protein kinase homology encoding gene, MMK2, regulates the gene expression and affects fruit coloration. Moreover, we identify overlapping SVs associated with fruit quality and biotic resistance. This pan-genome uncovers possible contributions of CNVs to gene expression and highlights the role of SVs in apple domestication and economically important traits.

Mechanisms of the response of apple fruit to postharvest compression damage analyzed by integrated transcriptome and metabolome

Apple fruit is susceptible to compression damage within the postharvest supply chain given its thin peels and brittle texture, which can result in decay and deterioration and have a substantial impact on its marketability and competitiveness. Thorough bioinformatics investigations are lacking on postharvest compression damage stress-induced alterations in genes and metabolic regulatory networks in fruits. In the present study, a comprehensive analysis of both the transcriptome and metabolome was conducted on 'Red Fuji' apples experiencing compression-induced damage. During the storage after damage has occurred, the gene expression of MdOFUT19, MdWRKY48, MdCBP60E, MdCYP450 and MdSM-like of the damaged apples was consistently higher than that of the control group. The damaged apples also had higher contents of some metabolites such as procyanidin A1, Dl-2-Aminooctanoic acid, 5-O-p-Coumaroyl shikimic acid and 5,7-Dihydroxy-3′,4′,5′-trimethoxyflavone. Analysis of genes and metabolites with distinct expressions on the common annotation pathway suggested that the fruit may respond to compression stress by promoting volatile ester and lignin synthesis. The above results can deepen the comprehension of the response mechanisms in apple fruits undergoing compression-induced damage.

Profile-based diffuse reflectance corrections for improved optical property measurement of spherical fruit with spatial frequency domain imaging

Diffuse reflectance (Rd), demodulated from spatial frequency domain imaging (SFDI), is strongly influenced by the surface profile of target sample, and the optical properties (absorption coefficient μa and reduced scattering coefficient μ's) extracted from the Rd are prone to large estimation errors caused by curved surface of the fruit. This study proposes a profile-based Rd correction method, aiming to improve the accuracy of optical property measurement for spherical fruit, such as apples, as well as enhance fruit bruise detection through improved optical properties. Firstly, the surface height of the test object was obtained by performing the phase-measuring profilometry (PMP) in SFDI. Secondly, the object surface reflection angle was calculated using the proposed angle calculation method for spherical samples. The Modified Lambertian Correction (MLC) method was then refined to minimize the effect of the incident angle on the Rd correction. The performance of the Rd correction method was validated using standard reflector and Teflon spheres. The results showed that the average error of the PMP measurement with the height range of 0–50 mm was within 1 mm, the relative error of the corrected Rd was within 2 %, and the standard deviation of the Rd for the Teflon sphere was reduced by about 60 % after correction. Finally, the proposed Rd correction method was applied to measure the optical properties of four spherical fruit (‘Golden Delicious’, ‘Red Fuji’ apples, lemons, and oranges). The results revealed that the standard deviations of the measured μa and μ's of the spherical fruit were greatly reduced by about 70 % and 40 % after correction. The improved optical property mappings enhanced the early bruise detection of apples due to the fact that the optical property contrast between the non-bruised and bruised tissues were significantly increased.

Visualized pattern recognition optimization for apple mechanical damage by laser relaxation spectroscopy

ABSTRACT This study aims to enhance the efficiency and accuracy of nondestructive testing (NDT) for identifying mechanical damage in apples. Current methods have limitations in detection efficiency and require significant human resources. We conducted a study using laser relaxation spectroscopy and developed a single-wavelength system to collect spectral data from damaged and undamaged Red Fuji apples. The data was pretreated using the Min-Max standardization algorithm and analyzed using pattern recognition models including the depth extreme learning machine (DELM), SSA-DELM (optimized by the sparrow search algorithm), and backpropagation (BP) neural networks. We introduced neural network visualization to improve accuracy during BP neural network analysis. The BP neural networks achieved the highest accuracy of 94.74% among the models tested. To further enhance accuracy, we proposed an optimized multicount measurement classification recognition (MMCR) model, which improved accuracy to 97.5% with ultrahigh detection speed. The proposed method offers advantages such as ease of operation, affordability, and fast detection, providing a novel approach to rapid fruit quality assessment.

Comparative study of expression patterns of aquaporin (AQP) genes in apple fruits with contrasting ripening behavior

This research compared expression patterns of aquaporin (AQP) genes in two apple cultivars that exhibit contrasting ripening behavior. Commercially-mature apple fruits of cultivars ‘Golden Delicious’ and ‘Red Fuji’ were chosen as materials. The results showed that compared with ‘Red Fuji’, ‘Golden Delicious’ generally had higher rate of respiration, ethylene production, weight loss, dry matter concentration (DMC), titratable acidity (TA), total soluble solids (TSS) and soluble sugar contents during ripening. At 35 d, cells in ‘Golden Delicious’ were loosely arranged with larger intercellular space, while in ‘Red Fuji’, cells were still densely packed. A total of 20 AQPs were detected in both cultivars. Expression of these identified genes was in a tissue- and cultivar-specific manner during ripening. Generally, expression of MdAQPs was differentially induced at climacteric stage in peel and flesh tissues of ‘Golden Delicious’. In contrast, expression of most MdAQPs was differentially up-regulated at preclimacteric stage in peel and flesh tissues of ‘Red Fuji’. These results will be useful for further study the relationships between MdAQPs and storability of different apple cultivars.

Identification of Fungal Species Associated with Apple Canker in Tarim Basin, China.

Apple canker has decreased yields of the economically important apple (Malus domestica) crop in China in recent years. Pathogen identity is highly challenging and the disease is poorly understood. Specimens of 339 fungi were isolated from apple trees in the primary apple-producing region in the Tarim Basin during the current study. In total, nine species of Cytospora and five species of the family Botryosphaeriaceae were identified by morphological observation and multilocus phylogenetic analyses: internal transcribed spacer (ITS), actin, translation elongation factor (TEF), and β-tubulin (TUB) gene regions for Cytospora and ITS, TEF, and TUB for Botryosphaeriaceae. Cytospora pyri from the Cytospora genus was the dominant species causing apple canker in the Tarim Basin. C. melnikii, C. tritici, C. euonymina, Diplodia seriata, and Botryosphaeria dothidea have been described as the cause of apple canker in China. Apple (Red Fuji) branches were utilized to assess the pathogenicity of 24 representative fungal isolates from the 14 species, and branches from seven distinct woody plants (Korla pear, walnut, Chinese date, Xinjiang poplar, sand jujube, Populus euphratica, and willow) were utilized to analyze the host range. The main pathogenic fungal species of apple canker around the Tarim Basin were identified and biological characteristics explored. Pathogen diversity and regional source diversity were assessed with host range and pathogenicity. The aim was to provide a theoretical foundation for the prevention and treatment of apple canker.

Soil water depletion patterns in rainfed apple orchards and wheat fields.

Agricultural production in the Weibei rainfed highland, Northwest China, is challenged by severe drought and water shortages. While the land use pattern has shifted gradually from crop production to orchard farming in Weibei, little is known about the influence of fruit industry development on regional water resources and the rationality of planting orchards. Here, we characterized soil water depletion patterns in rainfed orchards and farmlands to evaluate the occurrence of soil desiccation under land use conversion from farmlands to orchards in Weibei. Soil moisture dynamics were monitored in the 0-150cm soil profiles of different aged Red Fuji apple orchards (young: 7 years, mature: 13 years, old: 22 years) and long-term cultivated winter wheat fields. We measured soil moisture content by oven-drying method in the middle of each month during the growing season of apple trees (March-September 2019). The over-depletion and depletion of soil water were analyzed to evaluate water stress and differential water depletion by distinct vegetation, respectively. The soil desiccation index was used to determine the occurrence of dry soil layers. Water stress was only observed at the 0-70-cm soil depths in the old orchards (mid-June) and farmlands (mid-May-mid-July). Water depletion took place at deeper depths for longer periods in the older orchards than in the younger orchards. Soil desiccation was absent in the young orchards, with mild desiccation at the 0-80-cm soil depths in the mature and old orchards in mid-June. The desiccation intensity was mild at the 0-60-cm soil depths in mid-April-mid-May, intense at the 0-150-cm soil depths in mid-June, and moderate at the 20-150-cm soil depths in mid-July. Results of this study demonstrate the mitigation of water stress and soil desiccation following conversion from wheat fields to apple orchards, which verifies the rationality of planting orchards in the rainfed highland area. Our findings provide strong support for developing a novel model of agro-industrial development, ecological construction, and sustainable economy in the vast arid and semi-arid areas of Northwest China.

Magnesium improved fruit quality by regulating photosynthetic nitrogen use efficiency, carbon-nitrogen metabolism, and anthocyanin biosynthesis in 'Red Fuji' apple.

Both nitrogen (N) and magnesium (Mg) play important roles in biochemical and physiological processes in plants. However, the application of excessive N and insufficient Mg may be the factor leading to low nitrogen utilization rate (NUE) and fruit quality degradation in apple production. In this study, we analyzed the effects of different application rates of Mg (0, 50, 100, 150, 200 kg/ha) on the photosynthetic nitrogen use efficiency (PNUE), the accumulation and distribution of carbon (C), N metabolism, anthocyanin biosynthesis and fruit quality of the 'Red Fuji' apple in 2018 and 2019. The results showed that the application of Mg significantly increased the 15NUE and increased the allocation rate of 15N in the leaves whereas the 15N allocation rate in the perennial organs and fruits was decreased. With the increase in Mg supply, the activities of N metabolism enzymes (NiR, GS, and GOGAT) were significantly promoted and the content of intermediate products in N metabolism ( , , and free amino acid) was significantly decreased. Furthermore, an appropriate rate of Mg significantly promoted the net photosynthetic rate (Pn) and photosynthetic nitrogen use efficiency (PNUE), enhanced the enzyme activities of C metabolism (SS, SPS, S6PDH), and increased the contents of sorbitol and sucrose in leaves. In addition, Mg upregulated the gene expression of sugar transporters (MdSOT1, MdSOT3, MdSUT1, and MdSUT4) in fruit stalk and fruit fresh; 13C isotope tracer technology also showed that Mg significantly increased the 13C allocation in the fruits. Mg also significantly increased the expression of anthocyanin biosynthesis genes (MdCHS and MdF3H) and transcription factors (MdMYB1 and MdbZIP44) and the content of anthocyanin in apple peel. The comprehensive analysis showed that the appropriate application of Mg (150 kg/ha) promoted PNUE, C-N metabolism, and anthocyanin biosynthesis in apple trees.

A single QTL harboring multiple genetic variations leads to complicated phenotypic segregation in apple flesh firmness and crispness.

Within a QTL, the genetic recombination and interactions among five and two functional variations at MdbHLH25 and MdWDR5A caused much complicated phenotype segregation in apple FFR and FCR. The storability of climacteric fruit like apple is a quantitative trait. We previously identified 62 quantitative trait loci (QTLs) associating flesh firmness retainability (FFR) and flesh crispness retainability (FCR), but only a few functional genetic variations were identified and validated. The genetic variation network controlling fruit storability is far to be understood and diagnostic markers are needed for molecular breeding. We previously identified overlapped QTLs F16.1/H16.2 for FFR and FCR using an F1 population derived from 'Zisai Pearl' × 'Red Fuji'. In this study, five and two single-nucleotide polymorphisms (SNPs) were identified on the candidate genes MdbHLH25 and MdWDR5A within the QTL region. The SNP1 A allele at MdbHLH25 promoter reduced the expression and SNP2 T allele and/or SNP4/5 GT alleles at the exons attenuated the function of MdbHLH25 by downregulating the expression of the target genes MdACS1, which in turn led to a reduction in ethylene production and maintenance of higher flesh crispness. The SNPs did not alter the protein-protein interaction between MdbHLH25 and MdWDR5A. The joint effect of SNP genotype combinations by the SNPs on MdbHLH25 (SNP1, SNP2, and SNP4) and MdWDR5A (SNPi and SNPii) led to a much broad spectrum of phenotypic segregation in FFR and FCR. Together, the dissection of these genetic variations contributes to understanding the complicated effects of a QTL and provides good potential for marker development in molecular breeding.

First report of apple root rot caused by Phytopythium vexans in China.

Apple production is of great economic importance in the fruit industry of China, where Yunnan Province is considered as a major producing area. A survey was conducted to identify apple trees that were problematic from March to November 2020 in Yunnan Province. Symptoms included smaller yellowing leaves, fewer sprouts per branch, browning and necrosis of the roots and lower parts of the stem bark, and wilting. 20% to 45% of apple trees were found infected and randomly scattered in the surveyed orchards. A total of 110 soil samples were collected from the root area of symptomatic apple trees in Tuanjie Town of Kunming City, Zhaotong City, and Malong District of Qujing City in Yunnan Province. Two grams of each soil sample was suspended in 400 ml of sterile water for three days and each soil extract was baited with two apple leaves (Red Fuji's). Following the baiting, those leaves were cut into 10 pieces (5mm×5mm), surface-sterilized with 70% ethanol for 30 seconds, rinsed three times with sterile water, and then air-dried. Each leaf piece was placed in a Petri dish with the oatmeal agar medium containing PCNB 20 mg/ml, rifampicin 20 mg/ml, and then incubated at 25℃ in the dark for 3 days. A mycelial agar plug was picked from the edge of the colonies and transferred to a fresh Potato Dexrose Agar (PDA) plate. Seventy colonies with similar growing characteristics were isolated from the 110 soil samples. Three isolates were retained for further analysis and named XLD8-1, SD1, and YF2. After being cultivated on PDA plates and incubated at 25℃ in the dark for 4 days, their colonies were rose petal-type and white with dense aerial hyphae (Fig 1, A). In ten days of incubation, oogonium measuring 24.55 ± 1.9μm × 20.27 ± 2.3μm and sporangia measuring 21.65 ± 1.3μm × 19.35 ± 1μm were observed (Fig 1, C, D). The total DNA of the isolates was extracted and amplified using three pairs of primers, ITS1/ITS4 (White et al. 1990), LROR/LR7 (LSU) (Vilgalys R, et al. 1990), and FM58/FM66 (COXⅡ) (Martin F N. 2000). The sequences were uploaded to GenBank (Accession No. OL960234, OK037658, OK052604 for ITS, OL960388, OM838413, OM838314 for LSU, and OM962847, OM962848, OM962849 for COXⅡ). ITS sequences of the three isolates (XLD8-1, SD1, YF2) showed 99.87%,99.87%, 99.87% similar to Pp. vexans (Accession No. AB468784, AB468784, and AM701801). LSU sequences of the three isolates showed 99.92%, 99.72%, 100% similar to Pp. vexans (Accession No. EF426541, MT729990, and EF426541). COXⅡ sequences of the three isolates showed 100%, 99.81%, 99.81% similar to Pp. vexans (Accession No. GU133560). Based on the sequence similarity and morphology, the isolates were identified as Phytopythium vexans. Koch's postulates were conducted by wounding the bases of 3 apple seedlings (1-year-old Red Fuji's) with a cork borer. A plug of mycelium of the isolate XLD8-1 grown on PDA plates was placed on each wound (Fig 1, B). Controls were set up to use sterile agar plugs as an inoculum. Seedlings have incubated an incubator at 23-26°C under the alternating light and dark intervals, 12-hours of each. In 15 days, after were inoculated with XLD8-1 the roots and lower part of the stem bark of those seedlings became brownish and necrotic, and their epidermis was easily sloughed off (Fig 1, E-G). The pathogen isolated from the necrotic root tissues were identical to the isolate XLD8-1. Symptoms of apple growth decline caused by Pp. vexans were reported in Morocco (Jabiri Salma, et al. 2021). This experiment verified that Pp. vexans causes root rot of apple. In China, Fusarium sp. is usually considered the main pathogen causing apple root rot. However, the discovery of large numbers of apple trees that were infected by Pp. vexans in Yunnan Province and the confirmation of pathogenicity of Pp. vexans on apple seedlings have demonstrated for the first time that Pp. vexans could cause apple root rot as Fusarium spp does and become an incoming threat to the apple industry, which lays the foundation for study on the disease epidemiology and integrated management of apple root rot in China.

Apple grading method based on neural network with ordered partitions and evidential ensemble learning

In order to improve the performance of the automatic apple grading and sorting system, in this paper, an ensemble model of ordinal classification based on neural network with ordered partitions and Dempster–Shafer theory is proposed. As a non-destructive grading method, apples are graded into three grades based on the Soluble Solids Content value, with features extracted from the preprocessed near-infrared spectrum of apple serving as model inputs. Considering the uncertainty in grading labels, mass generation approach and evidential encoding scheme for ordinal label are proposed, with uncertainty handled within the framework of Dempster–Shafer theory. Constructing neural network with ordered partitions as the base learner, the learning procedure of the Bagging-based ensemble model is detailed. Experiments on Yantai Red Fuji apples demonstrate the satisfactory grading performances of proposed evidential ensemble model for ordinal classification.

Grading detection of "Red Fuji" apple in Luochuan based on machine vision and near-infrared spectroscopy.

A quality detection system for the “Red Fuji” apple in Luochuan was designed for automatic grading. According to the Chinese national standard, the grading principles of apple appearance quality and Brix detection were determined. Based on machine vision and image processing, the classifier models of apple defect, contour, and size were constructed. And then, the grading thresholds were set to detect the defective pixel ratio t, aspect ratio λ, and the cross-sectional diameter Wp in the image of the apple. Spectral information of apples in the wavelength range of 400 nm~1000 nm was collected and the multiple scattering correction (MSC) and standard normal variable (SNV) transformation methods were used to preprocess spectral reflectance data. The competitive adaptive reweighted sampling (CARS) algorithm and the successive projections algorithm (SPA) were used to extract characteristic wavelength points containing Brix information, and the CARS-PLS (partial least squares) algorithm was used to establish a Brix prediction model. Apple defect, contour, size, and Brix were combined as grading indicators. The apple quality online grading detection platform was built, and apple’s comprehensive grading detection algorithm and upper computer software were designed. The experiments showed that the average accuracy of apple defect, contour, and size grading detection was 96.67%, 95.00%, and 94.67% respectively, and the correlation coefficient Rp of the Brix prediction set was 0.9469. The total accuracy of apple defect, contour, size, and Brix grading was 96.67%, indicating that the detection system designed in this paper is feasible to classify “Red Fuji” apple in Luochuan.

Research on Damage Properties of Apples Based on Static Compression Combined with the Finite Element Method.

Apples are easily damaged during transportation due to extrusion and collision, resulting in structural damage and deterioration. To better understand apples’ mechanical–structural damage behavior, a texture analyzer platform combined with in situ observation was established. The effects of extrusion distance, speed, working temperature, and typical kinds of apple were considered for damage mechanisms. Apple damage was analyzed via the finite element method (FEM). The results indicated that the apple extrusion behavior can be divided into elastic interaction and plastic damage. Compression displacement effects were obviously significant in terms of structural damage, and apple samples were in an elastic stage with displacement of less than 2.3 mm, and no structural damage. The peak force energy-displacement mathematical model was established, showing an “s” shape and upward parabolic shape. The critical compression energy was around 100N·mm during elastic interaction. The damaged area was positively correlated with the compression energy. The FEM simulation results were consistent with the damage distribution of apples. The effects of speed on the three apple types were different. Red Fuji apples with a bruised area were not sensitive to pressure speed. The effect on the crack forming of Ralls apples was significant. Golden Delicious apples with a bruised area and crack formation showed an intermediate effect. The peak force–temperature fitting curve showed a downward parabolic shape and an R2 determination factor of 0.99982. Apple squeeze damage mechanisms provide theoretical guidance for apple damage control.

Purification and Characterization of a Dark Red Skin Related Dimeric Polyphenol Oxidase from Huaniu Apples.

The distinct dark-red skin of Huaniu apples renders them attractive to customers. However, the mechanism that leads to the development of the color of the fruit is unclear. In this study, we found that compared with red Fuji (a bright-red apple cultivar), Huaniu apples had higher contents of (−)-epicatechin (EC), (−)-epigallocatechin (EGC), (−)-gallocatechin gallate (GCG), and procyanidins (PCs) B2 and C1 in the peel, which implies that the polymerization of the flavanols and PCs may be correlated with the dark-red skin of the fruit. Using EC as a substrate, we purified an enzyme from Huaniu peel. We performed protein sequencing and discovered that the enzyme was a polyphenol oxidase (PPO). The molecular weight of the enzyme was approximately 140 kDa, which we estimated by native-PAGE and SDS-PAGE, while it was 61 kDa by urea-SDS-PAGE, from which we discovered that the PPO was a dimer. We observed the lowest Km value for catechol (0.60 mM), and the best substrate was 4-methylcatechol, with a Vmax of 526.32 U mg−1 protein. EC is a suitable natural substrate, with a Km value of 1.17 mM, and 55.27% of the Vmax/Km of 4-methylcatechol. When we used EC as a substrate, the optimum temperature and pH of the PPO were 25 °C and 5.0, respectively. In summary, we purified a dimeric PPO from Huaniu apples that showed high activity to EC, which might catalyze the polymerization of flavanols and PCs and lead to the dark-red color development of the fruit.