葡萄表型组高通量获取及分析方法研究进展

Grape Phenome High-throughput Acquisition and Analysis Methods:A Review

表型组学是后基因组学时代的研究热点,植物表型组研究需要高通量表型获取方法支撑。以葡萄为主要对象,围绕面向栽培生产的智慧果园建设和面向育种的精准表型分析两个主题,概述了表型组高通量获取方法,结合当前图像、光谱、点云等数据获取方式及三维重建、机器学习等数据分析方法,从冠层、植株、器官等不同尺度对葡萄产量、品质、生长状态等表型研究进展进行综述,对未来基于功能结构模型的动态表型和三维表型在葡萄栽培及育种中的应用提出展望。

Phenomics is a research hotspot in the postgenomic era,and needs to be supported by high-throughput phenotypic acquisition and data processing methods. Here we summarized the recent advances in phenotypic high-throughput acquisition and data analysis methods,especially on grapevine(Vitis vinifera L.). Main reviewed methods include image,optical spectrum and point clouds measurements,three-dimensional reconstruction and machine learning analyzing methods etc. These methods can be divided into two main classes based on their objectives:1)construction of smart orchard for precision viticulture and 2)precision phenotypic analysis for grape breeding. Moreover,the phenome studies of grapevine were reviewed from different scales ranging from field scale,individual plant,to individual organs,and from different traits:yield,quality and growth status. The future applications of the dynamic phenotyping and three-dimensional morphological phenotypes, and their integration with functional-structure plant models in viticulture and grapevine breeding were also discussed.