%0 Journal Article %A Yongjian WANG %A Junhua KONG %A Peige FAN %A Zhenchang LIANG %A Xiuliang JIN %A Buchun LIU %A Zhanwu DAI %T Grape Phenome High-throughput Acquisition and Analysis Methods:A Review %D 2022 %R 10.16420/j.issn.0513-353x.2021-0243 %J Acta Horticulturae Sinica %P 1815-1832 %V 49 %N 8 %X

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.

%U https://www.ahs.ac.cn/EN/10.16420/j.issn.0513-353x.2021-0243