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Spatial Distribution of Grapes Sugar Content and its Correlations with Climate Characteristics and Climate Suitability in the Huè?i (Romania) Wine Growing Region

机译:上埃(罗马尼亚)葡萄酒产区葡萄糖含量的空间分布及其与气候特征和气候适宜性的关系

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Previous studies have analyzed mainly the spatial distribution of grapes quality parameters at the plot scale, and concluded that grapes sugar content is a variable parameter, with a less predictable spatio-temporal evolution. Our study aimed to identify a pattern of spatial variation of grapes sugar content at a regional scale, under the temperate continental climate of the Hu?i (Romania) wine growing region. In order to do this, grapes sugar content was analyzed in relation to climate. The conditioning of grapes sugar content by climatic factors was analyzed based on regression models (Pearson correlation coefficient, coefficient of determination, linear regression). Spatial variation of grapes sugars content was achieved by the regression a€“ kriging approach, using climate suitability as predictor. Spatial variation of obtainable wine types was achieved by classifying the spatial distribution of grapes sugar content, according to DOC wine production regulation for the Husi area. The study revealed that among climatic factors, the actual sunshine duration is the most influential one on grapes sugar content. Mapping grapes sugar content generated a coherent spatial distribution pattern at the vineyard scale, as it significantly correlates with terrain altitude. Based on grapes sugar content spatial variation, two areas with different potential for sugars accumulation into grapes were delineated. The outcomes reveal that grapes sugar content presents significant correlations with climate variables specific to vineyards and with climate suitability for wine production. Knowing these correlations allows revealing patterns that determine the spatial distribution of the grapes sugar content.
机译:先前的研究主要分析了样地尺度上葡萄质量参数的空间分布,并得出结论,葡萄糖含量是一个可变参数,时空演变不那么可预测。我们的研究旨在确定在Hu?i(罗马尼亚)葡萄酒产区的温带大陆性气候下,区域范围内葡萄糖含量的空间变化模式。为此,分析了葡萄中糖的含量与气候的关系。基于回归模型(Pearson相关系数,确定系数,线性回归),分析了气候因素对葡萄含糖量的调节。葡萄糖含量的空间变化是通过回归克里金法,以气候适宜性作为预测因子来实现的。根据针对胡西地区的DOC葡萄酒生产法规,通过对葡萄含糖量的空间分布进行分类,可以实现可获取的葡萄酒类型的空间变异。研究表明,在气候因素中,实际日照时间对葡萄含糖量影响最大。绘制葡萄中的糖含量图可以在葡萄园规模上产生连贯的空间分布格局,因为它与地形高度显着相关。根据葡萄含糖量的空间变化,划定了两个潜在的糖分积累到葡萄中的区域。结果表明,葡萄含糖量与葡萄园特有的气候变量以及气候对葡萄酒生产的适应性密切相关。了解这些相关性可以揭示确定葡萄糖含量的空间分布的模式。

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