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激光雷达在特征葡萄树生长和检测相关遗传位置方面是有效的

Elsa Chedid¹, Komlan Avia¹, Vincent Dumas¹

¹INRAE, University of Strasbourg, UMR SVQV, 28, rue de Herrlisheim, 68000 Colmar, France.

Plant phenomics (Washington, D.C.)

|November 29, 2023

概括

使用LiDAR技术的高通量表型化有效地描述了葡萄藤生长特征. 该方法有助于识别遗传差异,开发适合气候变化和减少农药使用的新葡萄品种.

科学领域:

葡萄种植和植物科学葡萄种植和植物科学
遗传学和基因组学遗传学和基因组学
农业技术农业技术

背景情况:

减少农药使用和适应气候变化的社会压力需要有效的葡萄树表型.
高通量表型化 (HTP) 能够快速评估许多基因型的理想特征.

研究的目的:

与传统方法相比,评估LiDAR技术在葡萄藤表型化方面的有效性.
使用HTP数据识别与葡萄藤生长特征相关的基因组区域 (QTL).

主要方法:

评估了209个葡萄藤基因型,使用新鲜修剪木材的重量,叶面积,叶绿素度和LiDAR衍生的体积.
通过测序 (GBS) 采用基因型定型来获得高密度的遗传数据.
检测出与生长变异相关的定量特征位点 (QTL).

主要成果:

激光雷达技术在特征葡萄藤生长方面表现出有效性,与传统方法的相关性高于0.46.
对于LiDAR衍生的树冠和修剪木量,观察到高遗传性 (高于0.66) 和跨季节稳定性.
基于LiDAR数据的遗传模型解释了多达47%的表型变异,优于基于图像的叶面积和剪裁重量.

结论:

来自LiDAR的特征对于识别葡萄藤生长中的遗传控制差异非常有价值.
这项技术为葡萄园中先进的高吞吐量表型化提供了有前途的途径.
支持气候适应性和可持续葡萄品种的发展.

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