首页> 外文期刊>Biological Agriculture & Horticulture >Quality characterisation via image forming methods differentiates grape juice produced from integrated, organic or biodynamic vineyards in the first year after conversion
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Quality characterisation via image forming methods differentiates grape juice produced from integrated, organic or biodynamic vineyards in the first year after conversion

机译:通过图像形成方法的质量表征在转换后的第一年在第一年的集成,有机或生物动力葡萄园中产生的葡萄汁

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In this study, the effects on grape juice quality resulting from the conversion of vineyard plots from integrated to organic and biodynamic management vs. integrated management were assessed using image forming methods. In addition, grape yield, Botrytis infection and the chemical composition of wood prunings and grapes were assessed. The images of replicate, encoded samples representing five different treatments were: (i) grouped into pairs displaying similar image features, (ii) characterised with respect to the quality domains 'strength of form expression' and 'resistance to deterioration' and (iii) ranked according to the quality characterisation. Based on the image analyses, all samples pairs were correctly grouped, i.e. the five production methods were precisely separated. The treatments were characterised as follows: (i) Integrated (INT): weakest form expression, most advanced deterioration; (ii) Conversion to Biodynamic without horn silica (BD0): strongest form expression, advanced deterioration; (iii) Conversion to Organic (ORG): weak form expression, low deterioration; (iv) Conversion to Biodynamic with 3 x horn silica (BD3): medium form expression, low deterioration; (v) Conversion to Biodynamic with 4 x horn silica (BD4): strong form expression, low deterioration. Principal component analysis (PCA) of field assessment and chemical analysis data revealed that the two treatments with the strongest form expression, BD0 and BD4, were characterised by high vigour, as indicated by high prune weight and primary amino nitrogen (NOPA). With respect to the resistance to deterioration, as depicted by image forming methods, no parallels were found with PCA.
机译:在这项研究中,使用图像形成方法评估葡萄园地块转化为有机和生物动力管理与综合管理产生的葡萄汁质量的影响。此外,还评估葡萄产率,肉豆蔻感染和木制灌浆和葡萄的化学成分。代表五种不同治疗的复制图像的图像是:(i)分为显示相似图像特征的对成对,(ii)相对于形式表达的质量域和“抗劣化”和(iii)的特征在一起。和(III)根据质量表征排名。基于图像分析,所有样品对被正确分组,即五种生产方法精确分离。该治疗的特征如下:(i)综合(int):最弱的形式表达,最先进的恶化; (ii)转化为没有喇叭二氧化硅的生物动力学(BD0):最强的形式表达,晚期恶化; (iii)转化为有机(ORG):弱形表达,低恶化; (iv)用3 x喇叭二氧化硅(BD3)转化为生物动力学(BD3):培养基形式表达,劣化低; (v)与4 x喇叭二氧化硅(BD4)转化为生物动力学(BD4):强烈的表达,劣化低。现场评估和化学分析数据的主成分分析(PCA)显示,具有最强的形式表达,BD0和BD4的两种处理,其特征在于高活力,如高梅重量和原发性氨基氮(NOPA)所示。关于耐劣化,如通过图像形成方法所示,PCA没有发现具有瓣瓣。

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