GrapevineXL可靠地预测了葡萄园葡萄水状况,果生长和葡萄园糖累积的多年动态
Weiwei Yang1,2,3, Junqi Zhu4, Cornelis van Leeuwen2
1Beijing Key Laboratory of Grape Science and Enology and Key Laboratory of Plant Resources, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China.
Horticulture research
|June 9, 2023
概括
GrapevineXL模型准确地预测了葡萄的产量和质量. 气候变化模拟显示,早熟会降低果的重量,但增加糖分,影响葡萄园管理策略.
科学领域:
- 农业科学 农业科学
- 植物生理学 植物生理学
- 气候建模气候模型
背景情况:
- 葡萄的产量和质量受到气候和水资源的重要影响,这给预测建模带来了挑战.
- 准确预测对水果生产率和质量的环境影响对于可持续的葡萄种植至关重要.
研究的目的:
- 校准和验证GrapevineXL功能结构模型,用于预测葡萄藤在野外条件下的反应.
- 评估气候变化对葡萄的发展和成熟的影响,特别是先进的葡萄.
主要方法:
- 用Vitis vinifera cv.的13年现场数据对GrapevineXL模型进行校准和验证. 在波尔多的卡伯纳法兰克.
- 数据包括茎水的潜力,果的干燥和新鲜重量以及糖度.
- 模拟气候变化场景的虚拟实验,专注于先进的验证时间.
主要成果:
- 葡萄藤XL模型对季节性茎水潜力,果重量,糖度和叶子气体交换的预测准确度相当高.
- 模拟的晚期食 (14天和28天前) 导致果的新鲜重量减少,糖度增加.
- 在大多数模拟年份中,成熟时间缩短了,影响因气候和水资源供应模式而异.
结论:
- 葡萄藤XL模型有效地预测了植物用水量和果在田间条件下的生长.
- 该模型是制定可持续葡萄园管理策略以减轻气候变化影响的宝贵工具.
- 了解气候,水供应和葡萄藤表态之间的复杂相互作用对于未来的葡萄种植至关重要.
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