葡萄藤产量组件的高空间分辨率数据集在田内层面的葡萄藤产量组件
Baptiste Oger1, Yulin Zhang1, Jean-Philippe Gras1
1ITAP, Univ. Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060 Montpellier, France.
Data in brief
|October 2, 2023
概括
本研究介绍了精密葡萄种植的详细葡萄藤产量数据集,绘制了单个葡萄藤的性能和产量组件. 这些数据使得新的方法能够理解葡萄产量空间分布和影响因素.
科学领域:
- 葡萄种植和精准农业 精准农业
- 农业数据科学 农业数据科学
- 植物科学和作物生理学
背景情况:
- 在植物规模上准确的葡萄藤产量数据对于推进葡萄种植实践和开发新的估计方法至关重要.
- 现有的现场水平收益率数据缺乏分析收益率组件及其分布之间的复杂关系所需的空间分辨率.
- 对非生产性葡萄树,束数和束重的高分辨率数据是必不可少的,但在单个葡萄树层面获得这些数据是困难和昂贵的.
研究的目的:
- 为法国南部的两个Syrah葡萄园在植物规模上收集的综合葡萄藤产量数据集提供.
- 促进在精密葡萄种植框架内开发和测试新型采样协议.
- 为研究田间葡萄产量组织和各种因素对产量组成部分的影响提供资源.
主要方法:
- 在开花阶段的生产性和非生产性葡萄树 (死亡/缺失) 的地理参考.
- 在生产葡萄树上手动计数花朵.
- 手动称重所有束 (字段1) 和根据收获时的代表样本 (字段2) 的估计,以及辅助土壤和遥感数据.
主要成果:
- 一个数据集包括3644个葡萄树 (2151个生产力),33354个花朵和19635个权重的花束.
- 在各个葡萄树层面实现了葡萄产量组件的详细场内映射.
- 收集了辅助数据,包括土壤表面电阻和植被指数,用于相关性分析.
结论:
- 创建的数据集提供了前所未有的葡萄产量组织在田间范围内的细节.
- 这种资源对于评估非生产性葡萄树对邻近葡萄树产量的影响是有价值的.
- 该数据集可以探索辅助数据和各种产量组件之间的相关性,从而推进精确的葡萄种植研究.
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