Plant microphenotype: from innovative imaging to computational analysis.

Journal: Plant biotechnology journal
Published Date: Jan 13, 2024

Abstract

The microphenotype plays a key role in bridging the gap between the genotype and the complex macro phenotype. In this article, we review the advances in data acquisition and the intelligent analysis of plant microphenotyping and present applications of microphenotyping in plant science over the past two decades. We then point out several challenges in this field and suggest that cross-scale image acquisition strategies, powerful artificial intelligence algorithms, advanced genetic analysis, and computational phenotyping need to be established and performed to better understand interactions among genotype, environment, and management. Microphenotyping has entered the era of Microphenotyping 3.0 and will largely advance functional genomics and plant science.

Authors

  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Shenghao Gu
    Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Jianjun Du
    State Key Laboratory of Fine Chemicals , Dalian University of Technology , 2 Linggong Road , Dalian 116024 , P. R. China . Email: fanjl@dlut.edu.cn.
  • Guanmin Huang
    Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Jiawei Shi
    Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Xianju Lu
    Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Jinglu Wang
    Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Wanneng Yang
    National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Key Laboratory of Agricultural Bioinformatics and College of Engineering, Huazhong Agricultural University, Wuhan 430070, PR China.
  • Xinyu Guo
    Keya Medical Co., Ltd, Longong, Shenzhen, China. Electronic address: xinyug@keyamedical.com.
  • Chunjiang Zhao
    Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.

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