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Quantification of time trends in vintage scores and their variability for major wine regions of Australia

机译:量化澳大利亚主要葡萄酒产区的葡萄酒评分时间趋势及其变异性

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摘要

This paper quantifies time-trends of vintage scores and their variability in 24 wine regions of Australia. Our working hypotheses are that, owing to improved crop husbandry and winemaking techniques, (1) vintage scores had increased with time, and (2) variability in vintage scores had decreased with time, whereas (3) interactions between improved technologies and climate should be reflected in temperature-related time trends of vintage score and its variability. Published data were used to calculate rates of change in vintage score and its variability for the period 1980-2005. Rates were calculated as the slopes of regressions between two dependent variables, i.e. 3-year running average of vintage score (10-point scale) and 3-year running coefficient of variation of vintage score (%), and year of vintage as independent variable. The statistical agreement (r = 0.86, P < 0.05) between rates of change in vintage score derived from two independent sources indicated the vintage scores used in this analysis were fairly robust. Our analysis supported the hypotheses of improvement in vintage score and reduction in variability. More importantly, we provide a quantitative assessment of these trends: the rate of change in vintage scores averaged 0.09 per year, ranged from -0.07 to 0.20 per year, was dominantly positive (35 out of 48 cases), and significant (P < 0.05) in 29 cases, whereas the rate of change in variability of vintage scores averaged -0.52%/year, ranged from -2.1 to 0.8%/year, was dominantly negative (37 out of 48 cases), and significant (P < 0.05) in 19 cases. Consistent with hypothesis 3, the rate of change in vintage score for red wine and the rate of change in variability of vintage score for white wine, were inversely related to temperature (long-term daily mean during the month prior to harvest in each of the regions). By contrast, the rate of change in vintage score for white wine and the rate of change in variability of vintage score for red wine were unrelated to daily mean regional temperature. Owing to the intricate correlations between climate variables, however, the associations between change in vintage scores and temperature cannot be interpreted in terms of cause and effect.
机译:本文对澳大利亚24个葡萄酒产区的年份分数及其变化的趋势进行了量化。我们的工作假设是,由于改进了农牧业和酿酒技术,(1)年份分数随时间增加,(2)年份分数的变化随时间减少,而(3)改良技术与气候之间的相互作用应反映在温度相关的年份分数及其变化的时间趋势中。已发布的数据用于计算1980-2005年期间的葡萄酒得分变化率及其变异性。比率的计算方法为两个因变量之间的回归斜率,即年份得分的3年平均值(10分制)和年份得分的3年变异系数(%),年份作为自变量。从两个独立来源得出的年份得分变化率之间的统计一致性(r = 0.86,P <0.05)表明该分析中使用的年份得分相当可靠。我们的分析支持了葡萄酒得分提高和变异性降低的假设。更重要的是,我们对这些趋势进行了定量评估:年份分数的变化率平均每年为0.09,范围为-0.07至0.20 /年,主要为阳性(48例中有35例),且显着(P <0.05) )的29例中,年份得分的变异性平均变化率为-0.52%/年,范围为-2.1至0.8%/年,主要为阴性(48例中有37例),且显着(P <0.05)在19个案例中。与假设3一致,红葡萄酒的老式分数变化率和白葡萄酒的老式分数变化率与温度成反比(每个年份收获前一个月的长期每日平均值)地区)。相比之下,白葡萄酒的葡萄酒得分变化率和红葡萄酒的葡萄酒得分变化率变化率与每日平均区域温度无关。然而,由于气候变量之间存在复杂的关联,因此无法根据因果关系解释年份分数变化与温度之间的关联。

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