Acta Horticulturae Sinica ›› 2022, Vol. 49 ›› Issue (8): 1815-1832.doi: 10.16420/j.issn.0513-353x.2021-0243

• Review • Previous Articles     Next Articles

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

WANG Yongjian1, KONG Junhua1, FAN Peige1, LIANG Zhenchang1, JIN Xiuliang2, LIU Buchun3, DAI Zhanwu1,*()   

  1. 1. Beijing Key Laboratory of Grape Sciences and Enology,CAS Key Laboratory of Plant Resources,Institute of Botany,Chinese Academy of Sciences,Beijing 100093,China
    2. Institute of Crop Sciences,Chinese Academy of Agricultural Sciences,Beijing 100081,China
    3. Institute of Environment and Sustainable Development in Agriculture,Chinese Academy of Agricultural Sciences,Beijing 100081,China
  • Received:2021-06-10 Revised:2022-01-29 Online:2022-08-25 Published:2022-09-05
  • Contact: DAI Zhanwu


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.

Key words: grape, phonemics, high-throughput, smart orchard, breeding

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