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The use of a new explanatory methodology to assess maturity and ripening indices for kiwiberry (Actinidia arguta): Preliminary results
Postharvest Biology and Technology ( IF 6.4 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.postharvbio.2020.111122
Thais Mendes da Silva , Rossella Briano , Cristiana Peano , Nicole Roberta Giuggioli

Abstract Harvesting quality is a latent concept that is often summarised by several attributes, which in turn may be described as complex parameters due to their multicomponent structure. Multivariate techniques such as Multiple Factor Analysis (MFA) and Partial least square (PLS) analysis represent suitable tools to investigate quality indices as they are able to compute systems of composite indicators, providing more accurate knowledge than a single attribute. Therefore, the goals of this work are: to describe the evolution of different quality parameters during the harvesting period of new cv Tahi and cv Rua and to analyse their correlations in order to create a model that will highlight new potential harvesting and maturity quality indicators. This will provide knowledge for development of a harvesting index of A. arguta fruit, for which the harvest period is still determined by traditional quality traits. Data from physicochemical, colorimetric and nutraceutical assays were analysed with ANOVA and MFA and fused in a PLS model. We created a PLS model with an R2 value of 0.83 for cv Rua and of 0.44 for cv Tahi. Our results suggest that composite colorimetric parameters may enhance the sensitivity of Hue changes during the harvesting period and are less cultivar-specific than nutraceutical ones. It is suggested that this methodology is applied to larger sample sizes in order to extend the results to the population. Further studies should pay more attention to the use of colorimetric indices and their combination.

中文翻译:

使用新的解释性方法来评估猕猴桃 (Actinidia arguta) 的成熟度和成熟指数:初步结果

摘要 收获质量是一个潜在的概念,通常由几个属性概括,由于其多分量结构,这些属性又可以被描述为复杂的参数。多因素分析 (MFA) 和偏最小二乘 (PLS) 分析等多变量技术代表了研究质量指数的合适工具,因为它们能够计算复合指标系统,提供比单个属性更准确的知识。因此,这项工作的目标是:描述新品种 Tahi 和品种 Rua 在收获期间不同质量参数的演变,并分析它们的相关性,以创建一个模型,以突出新的潜在收获和成熟质量指标。这将为开发 A. arguta 果实的收获指数提供知识,其收获期仍由传统品质特性决定。使用方差分析和 MFA 分析来自物理化学、比色和营养品测定的数据,并在 PLS 模型中融合。我们创建了一个 PLS 模型,其中 cv Rua 的 R2 值为 0.83,而 cv Tahi 的 R2 值为 0.44。我们的结果表明,复合比色参数可能会提高收获期间色调变化的敏感性,并且与营养品相比,品种特异性较低。建议将此方法应用于更大的样本量,以将结果扩展到总体。进一步的研究应更多​​地关注比色指数的使用及其组合。用方差分析和 MFA 分析比色和营养品测定,并在 PLS 模型中融合。我们创建了一个 PLS 模型,其中 cv Rua 的 R2 值为 0.83,而 cv Tahi 的 R2 值为 0.44。我们的结果表明,复合比色参数可能会提高收获期间色调变化的敏感性,并且与营养品相比,品种特异性较低。建议将此方法应用于更大的样本量,以将结果扩展到总体。进一步的研究应更多​​地关注比色指数的使用及其组合。用方差分析和 MFA 分析比色和营养品测定,并在 PLS 模型中融合。我们创建了一个 PLS 模型,其中 cv Rua 的 R2 值为 0.83,而 cv Tahi 的 R2 值为 0.44。我们的结果表明,复合比色参数可能会提高收获期间色调变化的敏感性,并且与营养品相比,品种特异性较低。建议将此方法应用于更大的样本量,以将结果扩展到总体。进一步的研究应更多​​地关注比色指数的使用及其组合。我们的结果表明,复合比色参数可能会提高收获期间色调变化的敏感性,并且与营养品相比,品种特异性较低。建议将此方法应用于更大的样本量,以将结果扩展到总体。进一步的研究应更多​​地关注比色指数的使用及其组合。我们的结果表明,复合比色参数可能会提高收获期间色调变化的敏感性,并且与营养品相比,品种特异性较低。建议将此方法应用于更大的样本量,以将结果扩展到总体。进一步的研究应更多​​地关注比色指数的使用及其组合。
更新日期:2020-05-01
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