Fruit Quality

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Jiamin Yang - One of the best experts on this subject based on the ideXlab platform.

  • Prediction of Fruit Quality based on the RGB values of time-temperature indicator.
    Journal of food science, 2020
    Co-Authors: Jiamin Yang
    Abstract:

    Time-temperature indicators (TTIs) are cost-efficient tools that may be used to predict food Quality. In this paper, a diffusion TTI was used to predict Fruit Quality during storage. Both the color changing characters of TTI and the Quality parameters, including weight loss, soluble solids content, vitamin C content, titratable acidity, and antioxidant capacity of three kinds of Fruits (kiwiFruit, strawberry, and mango), were investigated for storage temperatures (5, 10, 15, and 20 °C). The relationships between the color changing properties and Fruit Quality parameters have been built based on the activation energy (Ea ). The results showed that the storage temperature and time had significant effects on the color changing of TTI and Fruit Quality. The RGB value of TTI decreased with time, and the higher the storage temperature, the faster the RGB value reduced. Also, the higher the storage temperature, the faster the Fruit Quality changed and the poorer they were. Furthermore, all of the differences of Ea between TTI color response and Fruit Quality change are less than 25 kJ/mol, which indicates that the TTI can be used to predict these Fruit Quality. Finally, prediction models were built and validated based on the RGB values of TTI. It provides the possibility for low-cost Quality monitoring and has more application potential in food Quality predicting. PRACTICAL APPLICATION: By monitoring the color change of diffuse time-temperature indicator (TTI) and the Quality change of Fruit, the feasibility of TTI for Fruit Quality monitoring was determined and the Quality prediction model was established. The diffusion TTI and Fruit Quality prediction model can realize the monitoring and predicting of Fruit Quality based on the TTI, which provides a basis for the combination of TTI Quick Response Code and Fruit Quality monitoring, with a view to achieving Fruit Quality status by scanning the Quick Response Code of TTI with mobile phones in the future. This method may provide a new solution to monitor the Fruit Quality during storage and distribution based on visualization technology that can simplify the methods of detecting Fruit Quality and achieve fast Quality detection. It provides the possibility for low-cost Quality monitoring and has more application potential in food Quality predicting. Further studies on diffusion TTI are needed to develop its application in more field of food and make the diffusion TTI an intelligent mean for food Quality monitoring and predicting.

Ksenija Gasic - One of the best experts on this subject based on the ideXlab platform.

  • Mapping QTLs for phytochemical compounds and Fruit Quality in peach
    Molecular Breeding, 2020
    Co-Authors: Asma Abdelghafar, Cassia Da Silva Linge, William R. Okie, Ksenija Gasic
    Abstract:

    Genetic control and location of QTLs associated with phytochemical compounds and Fruit Quality in peach [Prunus persica (L.) Batsch] were evaluated using an F2 mapping population (ZC2) derived from cross between ‘Zin Dai’ × ‘Crimson Lady’. Antioxidant capacity, accumulation of phenolic compounds (total phenolics, flavonoids, and anthocyanins), and Fruit Quality traits (Fruit diameter, Fruit weight, Fruit firmness, soluble solids concentration, titratable acidity, and ripening index) were evaluated for 2 years (2013–2014). Fourteen QTLs for phytochemical and Fruit Quality traits were identified in 5 LGs, with two QTL clusters (qPC.ZC_5.1_2014 and qPC.ZC_7.1) observed on LGs 5 and 7. The QTL cluster qPC.ZC_5.1_2014 was associated with antioxidant capacity, flavonoids, anthocyanin content, and SSC, while qPC.ZC_7.1 exhibited association only with flavonoids and Fruit ripening index. QTL clusters associated with different Fruit Quality traits were observed on LGs 1 and 6. Candidate gene analyses of the QTL cluster on LG5 (qPC.ZC_5.1_2014) revealed 14 candidate genes in peach with functional annotation related to biosynthesis pathway of phytochemical compounds.

Carlos H. Crisosto - One of the best experts on this subject based on the ideXlab platform.

  • A Fruit Quality gene map of Prunus.
    BMC genomics, 2009
    Co-Authors: Ebenezer A. Ogundiwin, Cameron Peace, Thomas M. Gradziel, Dan E. Parfitt, Fredrick A. Bliss, Carlos H. Crisosto
    Abstract:

    Background: Prunus Fruit development, growth, ripening, and senescence includes major biochemical and sensory changes in texture, color, and flavor. The genetic dissection of these complex processes has important applications in crop improvement, to facilitate maximizing and maintaining stone Fruit Quality from production and processing through to marketing and consumption. Here we present an integrated Fruit Quality gene map of Prunus containing 133 genes putatively involved in the determination of Fruit texture, pigmentation, flavor, and chilling injury resistance. Results: A genetic linkage map of 211 markers was constructed for an intraspecific peach (Prunus persica) progeny population, Pop-DG, derived from a canning peach cultivar 'Dr. Davis' and a fresh market cultivar 'Georgia Belle'. The Pop-DG map covered 818 cM of the peach genome and included three morphological markers, 11 ripening candidate genes, 13 cold-responsive genes, 21 novel EST-SSRs from the ChillPeach database, 58 previously reported SSRs, 40 RAFs, 23 SRAPs, 14 IMAs, and 28 accessory markers from candidate gene amplification. The Pop-DG map was co-linear with the Prunus reference T × E map, with 39 SSR markers in common to align the maps. A further 158 markers were bin-mapped to the reference map: 59 ripening candidate genes, 50 coldresponsive genes, and 50 novel EST-SSRs from ChillPeach, with deduced locations in Pop-DG via comparative mapping. Several candidate genes and EST-SSRs co-located with previously reported major trait loci and quantitative trait loci for chilling injury symptoms in Pop-DG. Conclusion: The candidate gene approach combined with bin-mapping and availability of a community-recognized reference genetic map provides an efficient means of locating genes of interest in a target genome. We highlight the co-localization of Fruit Quality candidate genes with previously reported Fruit Quality QTLs. The Fruit Quality gene map developed here is a valuable tool for dissecting the genetic architecture of Fruit Quality traits in Prunus crops.

  • Understanding Tree Fruit Quality Based on Consumer Acceptance
    Acta Horticulturae, 2006
    Co-Authors: Carlos H. Crisosto, Gayle M. Crisosto, Fiorella Neri
    Abstract:

    In recent years, we have been developing stone Fruit Quality indexes based on consumer acceptance and Fruit market life with the main goal of increasing Fruit consumption. To reach this goal we have taken the following steps: First, we conducted soluble solids concentration (SSC) and titratable acidity (TA) surveys, which indicated the potential Fruit Quality range for these cultivars within the industry. Second, we investigated the potential role of preharvest factors on these Quality attributes. Third, we segregated cultivars according to a trained panel’s perception of the predominant sensory attributes: sweetness, sourness, and Fruit flavor and aroma intensity. Finally, we used the above data to design large “in store” consumer tests within each sensory classification group. After completion of these steps, the industry will have the solid information it needs to propose a flavor code classification with Fruit Quality standards specific to each potential sensory classification group.

Bao Yang - One of the best experts on this subject based on the ideXlab platform.

  • Icariin as a Preservative to Maintain the Fruit Quality of Banana During Postharvest Storage
    Food and Bioprocess Technology, 2019
    Co-Authors: Jiali Yang, Hong Zhu, Yueming Jiang, Jun Zeng, Bao Yang
    Abstract:

    Banana is a tropical Fruit with good palatability and multiple health benefits. However, the Fruit Quality is readily deteriorated during postharvest storage. In this work, icariin was used to treat banana to maintain the Fruit Quality. NMR spectroscopy was applied to analyze the effect of icariin on the metabolite profiles of banana. It was found that the Fruit Quality of banana was well maintained after icariin treatment. The data of 1D and 2D NMR spectra revealed the composition of metabolites, whose contents greatly varied during storage. The first principal components included ethanol, acetic acid, saponin b, salsolinol, dopamine, glucose, and linoleic acid. After icariin treatment, the conversion of starch to α-d-glucose and β-d-glucose was delayed, and the production of γ-aminobutyrate, glutamine, and alanine increased. These results indicated that icariin could effectively maintain the Fruit Quality and delay the senescence of banana.

Patricia Siso Terreza - One of the best experts on this subject based on the ideXlab platform.

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