Plant microphenotype: from innovative imaging to computational analysis

Author:

Zhang Ying1ORCID,Gu Shenghao1,Du Jianjun1,Huang Guanmin1,Shi Jiawei2,Lu Xianju1,Wang Jinglu1,Yang Wanneng2ORCID,Guo Xinyu1,Zhao Chunjiang1

Affiliation:

1. Beijing Key Lab of Digital Plant, Information Technology Research Center Beijing Academy of Agriculture and Forestry Sciences Beijing China

2. National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory Huazhong Agricultural University Wuhan China

Abstract

SummaryThe 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.

Funder

National Basic Research Program of China

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Biotechnology

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