生物
桥接(联网)
数据科学
领域(数学)
基因组学
钥匙(锁)
比例(比率)
计算生物学
人工智能
计算机科学
基因组
生态学
遗传学
量子力学
基因
物理
数学
纯数学
计算机网络
作者
Ying Zhang,Shenghao Gu,Jianjun Du,Guanmin Huang,Jiawei Shi,Xianju Lu,Jinglu Wang,Wanneng Yang,Xinyu Guo,Chunjiang Zhao
摘要
Summary 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.
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