...
首页> 外文期刊>American journal of enology & viticulture >Spatial Variation of Winegrape Yield and Berry Composition and their Relationships to Spatiotemporal Distribution of Soil Water Content
【24h】

Spatial Variation of Winegrape Yield and Berry Composition and their Relationships to Spatiotemporal Distribution of Soil Water Content

机译:葡萄产量和浆果组成的空间变异及其与土壤水分时空分布的关系

获取原文
获取原文并翻译 | 示例

摘要

Spatiotemporal variability in vineyard soil water content (SWC) can affect yield and berry composition. The objectives of this study were to examine spatial variability in yield and berry composition over time and to quantify the contribution of spatial variability in SWC to these parameters. Yield, Brix, tannins, and total phenols were collected at the end of the berry ripening stage for 135 georeferenced points in 2012 and for 147 points in 2013 and 2014 in a Merlot vineyard in Gansu province, China. Volumetric SWC was measured multiple times at those points at different growth stages in each year. Spatial variation in yield showed moderate and similar spatial heterogeneity for different years, but the variation in berry composition was not consistent among years. Spatial variation in yield in 2012 and 2013 was best described by an exponential variogram model, but there was no spatial structure of yield in 2014. Low SWC at 0 to 20 cm depth corresponded to higher yield than did high SWC, and the opposite results were found for 40 to 60 cm. Spatiotemporal distribution of SWC explained more than 35% of total variation in yield and berry composition in the relatively dry year of 2012, but less than 10% in the relatively wet year of 2014. The contribution of spatiotemporal distributions of SWC to spatial variability in yield and berry composition varied according to field and weather conditions. This study provides a basis for developing site-specific management measures for better economic return.
机译:葡萄园土壤水分(SWC)的时空变化会影响产量和浆果组成。这项研究的目的是研究产量和浆果组成随时间变化的空间变异性,并量化SWC中空间变异性对这些参数的贡献。在浆果成熟阶段结束时,于2012年在中国甘肃省的梅洛葡萄园收获了135个地理参考点,2013年和2014年的147个参考点,收集了产量,白利糖度,单宁和总酚。每年在不同成长阶段的那些时间多次测量体积SWC。产量的空间变化在不同年份显示出中等且相似的空间异质性,但浆果组成的变化在年份之间并不一致。用指数变异函数模型最好地描述了2012年和2013年的产量空间变化,但2014年没有产量的空间结构。0至20 cm深度的低SWC值比高SWC值高,相反的结果是发现40至60厘米。 SWC的时空分布解释了在相对干旱的2012年产量和浆果组成总变化的35%以上,但在2014年的相对湿润的年份不到10%。SWC的时空分布对产量空间变异的贡献浆果的成分会根据田间和天气情况而变化。该研究为制定针对特定地点的管理措施以获得更好的经济回报提供了基础。

著录项

  • 来源
    《American journal of enology & viticulture》 |2017年第3期|369-377|共9页
  • 作者单位

    Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, P. R. China,State Key Laboratory Base of Ecohydraulic Engineering in Arid Area (Xi'an University of Technology), Xi'An 710048, P. R. China;

    Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, P. R. China;

    Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, P. R. China;

    Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, P. R. China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    berry composition; soil water content; spatial variation; yield;

    机译:浆果组成;土壤含水量;空间变化让;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号