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    韩冬梅, 杨武, 吴振先, 李建光, 帅良, 牛佳佳, 潘学文, 郭栋梁. 龙眼果实贮藏品质理化指标评估体系的构建[J]. 华南农业大学学报, 2015, 36(6): 39-46. DOI: 10.7671/j.issn.1001-411X.2015.06.007
    引用本文: 韩冬梅, 杨武, 吴振先, 李建光, 帅良, 牛佳佳, 潘学文, 郭栋梁. 龙眼果实贮藏品质理化指标评估体系的构建[J]. 华南农业大学学报, 2015, 36(6): 39-46. DOI: 10.7671/j.issn.1001-411X.2015.06.007
    shu
    HAN Dongmei, YANG Wu, WU Zhenxian, LI Jianguang, SHUAI Liang, NIU Jiajia, PAN Xuewen, GUO Dongliang. Establishment of an evaluation system for longan fruit storage quality based on the physicochemical indices[J]. Journal of South China Agricultural University, 2015, 36(6): 39-46. DOI: 10.7671/j.issn.1001-411X.2015.06.007
    Citation: HAN Dongmei, YANG Wu, WU Zhenxian, LI Jianguang, SHUAI Liang, NIU Jiajia, PAN Xuewen, GUO Dongliang. Establishment of an evaluation system for longan fruit storage quality based on the physicochemical indices[J]. Journal of South China Agricultural University, 2015, 36(6): 39-46. DOI: 10.7671/j.issn.1001-411X.2015.06.007
    shu

    龙眼果实贮藏品质理化指标评估体系的构建

    Establishment of an evaluation system for longan fruit storage quality based on the physicochemical indices

      摘要
    • 摘要:
      目的 构建龙眼Dimocarps longan果实贮藏品质理化指标评估体系，实现龙眼贮藏品质的简便、有效评估.
      方法 以30个品种龙眼果实为试验材料，运用多元统计分析方法，包括因子分析、回归分析、分层聚类等，对果实的贮藏性能进行综合评估与分类，建立贮藏品质预测模型.
      结果和结论 分别获得了30个品种龙眼果实不同贮藏效果的综合评分，包括常温果皮褐变和质量损失率、低温果皮褐变和果肉自溶，其结果与对应不同时期的贮藏效果指标均显著相关.分别建立了龙眼果实在不同贮藏温度下不同贮藏效果的数学预测模型，筛选出有效预测指标：常温贮藏品质理化指标包括熟性、外果皮a*值和可溶性固形物（TSS）含量，低温贮藏品质理化指标包括果皮龟状纹、果肉总糖含量和风味，从而构成了贮藏品质评估理化指标库.对30个品种果实在常温和低温下的贮藏能力进行分类，均获得了4个类别的分类结果.

       

      Abstract:
      Objective This research was conducted to establish an easy and effective evaluation system for longan storage quality based on physicochemical indices.
      Method Multivariate statistical analyses, including factor analysis, regression analysis and hierarchical clustering, were used to evaluate and grade the fruit storabilities of 30 longan varieties, and the mathematical models were established.
      Result and conclusion The results showed that the comprehensive scores for storability of 30 varieties were obtained, including normal-temperature pericarp browning and mass loss rate, low-temperature pericarp browning and aril autolysis, which were all significantly related with their corresponding indices of storage performance in different periods. The mathematics models of storage performance of longan fruits at different temperatures were established, from which the effective predictive indices were screened and a physicochemical index database was built. It is concluded that there are 3 physicochemical indices including maturity, a* value of exocarp and total soluble solids (TSS) content for normal temperature storability, and 3 indices, i.e. skin crevasse crack, total sugar content in the aril and flavor for low temperature storability. The 30 varieties are classified into 4 types based on their storabilities at normal and low temperatures.

       

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