B. Sams, R.G.V. Bramley, L. Sanchez, N.K. Dokoozlian, C.M. Ford, V. Pagay
{"title":"加州赤霞珠葡萄果实组成的时空变化特征及其对葡萄栽培管理的影响","authors":"B. Sams, R.G.V. Bramley, L. Sanchez, N.K. Dokoozlian, C.M. Ford, V. Pagay","doi":"10.1111/ajgw.12542","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and Aims</h3>\n \n <p>Spatial variability in yield and fruit composition in winegrape vineyards has been demonstrated, but few chemical compounds responsible for impacting wine composition have been analysed at a sample density high enough to compare with variability in remotely sensed imagery. The aims of this project were to evaluate spatial variability in grape composition at harvest in three seasons and to compare this with remotely sensed canopy vegetation data to assess its utility in underpinning targeted management.</p>\n </section>\n \n <section>\n \n <h3> Methods and Results</h3>\n \n <p>The composition of fruit samples were analysed to compare their spatial variability with aerial imagery products, the normalised difference vegetation index (NDVI) and the difference between canopy temperature from imagery (<i>T</i><sub>c</sub>) and ambient temperature from ground weather stations (<i>T</i><sub>a</sub>), (<i>T</i><sub>c</sub> − <i>T</i><sub>a</sub>). Zonal discrimination of fruit composition using <i>k-</i>means clusters generated from seasonal aerial imagery showed a difference as high as 2.7 kg/m in vine yield<sub>,</sub> up to 0.3 mg/g anthocyanins and 1.2 pg/g carbon-6 alcohols and aldehydes (C6) with these ‘quality zones’ reflected by the imagery in some vineyards and/or seasons.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The NDVI and (<i>T</i><sub>c</sub> − <i>T</i><sub>a</sub>) data collected at multiple time points were correlated with several attributes of fruit composition evaluated at harvest, but most correlations peaked at veraison. They were also strongest in vineyards in which the spatial variation showed stronger spatial structure.</p>\n </section>\n \n <section>\n \n <h3> Significance of the Study</h3>\n \n <p>Spatial variations in berry chemistry followed similar patterns to those seen in aerial imagery of vineyards with structured vigour zones. Furthermore, as most of the spatial structure in the variation of fruit composition is dominated by flavanols, opportunities for reduced analytical costs in winery laboratories also arise.</p>\n </section>\n </div>","PeriodicalId":8582,"journal":{"name":"Australian Journal of Grape and Wine Research","volume":"28 3","pages":"407-423"},"PeriodicalIF":2.5000,"publicationDate":"2022-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajgw.12542","citationCount":"4","resultStr":"{\"title\":\"Characterising spatio-temporal variation in fruit composition for improved winegrowing management in California Cabernet Sauvignon\",\"authors\":\"B. Sams, R.G.V. Bramley, L. Sanchez, N.K. Dokoozlian, C.M. Ford, V. Pagay\",\"doi\":\"10.1111/ajgw.12542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Aims</h3>\\n \\n <p>Spatial variability in yield and fruit composition in winegrape vineyards has been demonstrated, but few chemical compounds responsible for impacting wine composition have been analysed at a sample density high enough to compare with variability in remotely sensed imagery. The aims of this project were to evaluate spatial variability in grape composition at harvest in three seasons and to compare this with remotely sensed canopy vegetation data to assess its utility in underpinning targeted management.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods and Results</h3>\\n \\n <p>The composition of fruit samples were analysed to compare their spatial variability with aerial imagery products, the normalised difference vegetation index (NDVI) and the difference between canopy temperature from imagery (<i>T</i><sub>c</sub>) and ambient temperature from ground weather stations (<i>T</i><sub>a</sub>), (<i>T</i><sub>c</sub> − <i>T</i><sub>a</sub>). Zonal discrimination of fruit composition using <i>k-</i>means clusters generated from seasonal aerial imagery showed a difference as high as 2.7 kg/m in vine yield<sub>,</sub> up to 0.3 mg/g anthocyanins and 1.2 pg/g carbon-6 alcohols and aldehydes (C6) with these ‘quality zones’ reflected by the imagery in some vineyards and/or seasons.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The NDVI and (<i>T</i><sub>c</sub> − <i>T</i><sub>a</sub>) data collected at multiple time points were correlated with several attributes of fruit composition evaluated at harvest, but most correlations peaked at veraison. They were also strongest in vineyards in which the spatial variation showed stronger spatial structure.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Significance of the Study</h3>\\n \\n <p>Spatial variations in berry chemistry followed similar patterns to those seen in aerial imagery of vineyards with structured vigour zones. 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Characterising spatio-temporal variation in fruit composition for improved winegrowing management in California Cabernet Sauvignon
Background and Aims
Spatial variability in yield and fruit composition in winegrape vineyards has been demonstrated, but few chemical compounds responsible for impacting wine composition have been analysed at a sample density high enough to compare with variability in remotely sensed imagery. The aims of this project were to evaluate spatial variability in grape composition at harvest in three seasons and to compare this with remotely sensed canopy vegetation data to assess its utility in underpinning targeted management.
Methods and Results
The composition of fruit samples were analysed to compare their spatial variability with aerial imagery products, the normalised difference vegetation index (NDVI) and the difference between canopy temperature from imagery (Tc) and ambient temperature from ground weather stations (Ta), (Tc − Ta). Zonal discrimination of fruit composition using k-means clusters generated from seasonal aerial imagery showed a difference as high as 2.7 kg/m in vine yield, up to 0.3 mg/g anthocyanins and 1.2 pg/g carbon-6 alcohols and aldehydes (C6) with these ‘quality zones’ reflected by the imagery in some vineyards and/or seasons.
Conclusions
The NDVI and (Tc − Ta) data collected at multiple time points were correlated with several attributes of fruit composition evaluated at harvest, but most correlations peaked at veraison. They were also strongest in vineyards in which the spatial variation showed stronger spatial structure.
Significance of the Study
Spatial variations in berry chemistry followed similar patterns to those seen in aerial imagery of vineyards with structured vigour zones. Furthermore, as most of the spatial structure in the variation of fruit composition is dominated by flavanols, opportunities for reduced analytical costs in winery laboratories also arise.
期刊介绍：
The Australian Journal of Grape and Wine Research provides a forum for the exchange of information about new and significant research in viticulture, oenology and related fields, and aims to promote these disciplines throughout the world. The Journal publishes results from original research in all areas of viticulture and oenology. This includes issues relating to wine, table and drying grape production; grapevine and rootstock biology, genetics, diseases and improvement; viticultural practices; juice and wine production technologies; vine and wine microbiology; quality effects of processing, packaging and inputs; wine chemistry; sensory science and consumer preferences; and environmental impacts of grape and wine production. Research related to other fermented or distilled beverages may also be considered. In addition to full-length research papers and review articles, short research or technical papers presenting new and highly topical information derived from a complete study (i.e. not preliminary data) may also be published. Special features and supplementary issues comprising the proceedings of workshops and conferences will appear periodically.
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