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首页> 外文期刊>Acta Horticulturae >Quantifying the effects of fruit position in the canopy on physical and biochemical properties and predicting susceptibility to rind breakdown disorder of 'Nules Clementine' mandarin (Citrus reticulate Blanco) using Vis/NIR spectroscopy.
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Quantifying the effects of fruit position in the canopy on physical and biochemical properties and predicting susceptibility to rind breakdown disorder of 'Nules Clementine' mandarin (Citrus reticulate Blanco) using Vis/NIR spectroscopy.

机译：使用Vis / NIR光谱技术，量化冠层中水果位置对物理和生化特性的影响，并预测对“ Nules Clementine”柑桔（柑桔网纹）的果皮分解障碍的敏感性。

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The development of rind breakdown disorder (RBD) of 'Nules Clementine' mandarins (Citrus reticulate Blanco) limits postharvest storage capability and causes commercial losses. In this study, the use of diffuse reflectance Vis/NIR spectroscopy in the wavelength range of 350-2500 nm was explored as a non-destructive tool to predict susceptibility to RBD by detecting rind physico-chemical properties of individual intact fruit from different canopy positions. NIR spectra were obtained using a LabSpecReg. Vis/NIR spectrometer. Reference physico-chemical data of the fruit were obtained after 8 weeks of storage at 8 degrees C using conventional methods and included colour index, fruit mass loss, RBD index, rind dry matter content, rind sugars (sucrose, glucose, fructose, total sugars). Partial least squares (PLS) regression was applied to spectral data to develop prediction models for each quality attribute using cross validation for each canopy position (n=40) and for all fruit combined (n=80). Fruit position within the canopy had significant effect on rind biochemical properties. Outside fruit had higher rind sugar and lower RBD index than inside fruit. NIR calibration and cross validation results demonstrated that sugars, dry matter, colour index and water loss were predicted with significant accuracy. The prediction performance of models developed using combined fruit were better than those developed using fruit from inside and outside separately. Calibration models developed using fruit from the outside position of the tree canopy were better than for those developed using inside fruit. The good correlation between spectral information and sugar content demonstrated the potential of Vis/NIR as a non-destructive tool to predict fruit susceptibility to RBD.
机译：“ Nules Clementine”柑桔（柑桔网纹）的果皮分解障碍（RBD）的发展限制了收获后的储存能力并造成商业损失。在这项研究中，探索了使用漫反射可见光/近红外光谱在350-2500 nm波长范围内作为无损工具，通过检测不同冠层位置的单个完整水果的外皮理化特性来预测对RBD的敏感性。 。使用LabSpecReg获得NIR光谱。可见/近红外光谱仪。水果的参考理化数据是使用常规方法在8摄氏度下保存8周后获得的，包括颜色指数，果实失重，RBD指数，果皮干物质含量，果皮糖（蔗糖，葡萄糖，果糖，总糖） ）。偏最小二乘（PLS）回归应用于光谱数据，以针对每个树冠位置（n = 40）和所有组合水果（n = 80）进行交叉验证，为每个质量属性建立预测模型。冠层内的果实位置对果皮生化特性有重要影响。外果比内果具有更高的皮糖和更低的RBD指数。 NIR校准和交叉验证结果表明，糖，干物质，色指数和失水量的预测准确度很高。使用组合水果开发的模型的预测性能要好于分别使用内部和外部水果进行的模型的预测性能。使用树冠外部位置的果实开发的校准模型要优于使用内部果实的校准模型。光谱信息与糖含量之间的良好相关性证明了Vis / NIR作为预测水果对RBD敏感性的非破坏性工具的潜力。

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