Mancini Manuela, Mazzoni Luca, Leoni Elena, Tonanni Virginia, Gagliardi Francesco, Qaderi Rohullah, Capocasa Franco, Toscano Giuseppe, Mezzetti Bruno
Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche 10, 60131 Ancona, Italy.
Foods. 2023 Aug 29;12(17):3253. doi: 10.3390/foods12173253.
Strawberry is the most cultivated berry fruit globally and it is really appreciated by consumers because of its characteristics, mainly bioactive compounds with antioxidant properties. During the breeding process, it is important to assess the quality characteristics of the fruits for a better selection of the material, but the conventional approaches involve long and destructive lab techniques. Near infrared spectroscopy (NIR) could be considered a valid alternative for speeding up the breeding process and is not destructive. In this study, a total of 216 strawberry fruits belonging to four different cultivars have been collected and analyzed with conventional lab analysis and NIR spectroscopy. In detail, soluble solid content, acidity, vitamin C, anthocyanin, and phenolic acid have been determined. Partial least squares discriminant analysis (PLS-DA) models have been developed to classify strawberry fruits belonging to the four genotypes according to their quality and nutritional properties. NIR spectroscopy could be considered a valid non-destructive phenotyping method for monitoring the nutritional parameters of the fruit and ensuring the fruit quality, speeding up the breeding program.
草莓是全球种植最为广泛的浆果类水果，因其特性，尤其是具有抗氧化性能的生物活性化合物，深受消费者喜爱。在育种过程中，评估果实的品质特性对于更好地选择材料至关重要，但传统方法涉及耗时且具破坏性的实验室技术。近红外光谱（NIR）可被视为加速育种过程的有效替代方法，且不会造成破坏。在本研究中，共收集了属于四个不同品种的216个草莓果实，并采用传统实验室分析和近红外光谱进行了分析。具体而言，测定了可溶性固形物含量、酸度、维生素C、花青素和酚酸。已建立偏最小二乘判别分析（PLS-DA）模型，以根据四个基因型草莓果实的品质和营养特性对其进行分类。近红外光谱可被视为一种有效的无损表型分析方法，用于监测果实的营养参数并确保果实品质，从而加速育种计划。
