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Temporal and spatial relationships of vine pruning mass in Concord grapes

机译:协和葡萄中葡萄修剪质量的时间和空间关系

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Background and Aims: Studies on vine size variation have generally been limited to small plot studies, particularly for correlation with canopy imaging. Research and anecdotal reports indicate there is a temporal stability in the spatial patterns of imagery of the canopy. This study directly examines and quantifies the spatial and temporal variation in vine size, rather than a canopy sensor response, at a block (~1 ha) level. Methods and Results: The mass of pruned wood for each individual vine was measured for 3 consecutive years in a 0.93-ha vineyard. The spatial and temporal variability in pruning mass was interrogated with geostatistics and map comparison methods. Potential management units were derived from these data and used to verify the temporal response in vine size. Conclusions: The majority of variance in pruning mass occurred at a vine-to-vine scale; however, the autocorrelated variance exhibited a strong, stable spatial structure over 3 consecutive years. Map comparison methods were shown to be an alternate and visually demonstrable method of comparing spatio-temporal patterns. Significance of the Study: The temporal stability of spatial patterns in vine size would indicate that it is not necessary to measure vine size annually and that historical information can drive site- or zone-specific management decisions. The large vine-to-vine variation indicates that high spatial resolution, vine-specific sensing and decision support systems are needed if the objective is to manage as much of the variability in vine size as possible.
机译:背景和目的:关于葡萄树大小变化的研究通常仅限于小样地研究,尤其是与冠层成像的相关性。研究和轶事报告表明,树冠图像的空间格局存在时间稳定性。这项研究直接检查并量化了整块(〜1公顷)水平的葡萄树大小的时空变化,而不是冠层传感器的响应。方法和结果:在0.93公顷的葡萄园中,连续3年测量每个葡萄藤的修剪木材质量。利用地统计学和地图比较方法对修剪质量的时空变化进行了研究。从这些数据中得出潜在的管理单位,并用于验证葡萄树大小的时间响应。结论:修剪质量的大部分变化发生在葡萄藤之间。然而,自相关方差连续三年显示出强大,稳定的空间结构。地图比较方法被证明是比较时空模式的另一种视觉上可证明的方法。研究的意义:葡萄树大小的空间格局在时间上的稳定性表明,没有必要每年测量葡萄树的大小,历史信息可以驱动特定地点或区域的管理决策。葡萄藤之间的巨大差异表明,如果目标是要管理尽可能多的葡萄藤大小变异性,则需要高空间分辨率,葡萄藤特定的感测和决策支持系统。

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