Cell to whole-plant phenotyping: the best is yet to come

被引：233

作者：

Dhondt, Stijn ^{[1
,2
]}

Wuyts, Nathalie ^{[1
,2
]}

Inze, Dirk ^{[1
,2
]}

机构：

[1] Univ Ghent VIB, Dept Plant Syst Biol, B-9052 Ghent, Belgium

[2] Univ Ghent, Dept Plant Biotechnol & Bioinformat, B-9052 Ghent, Belgium

来源：

TRENDS IN PLANT SCIENCE | 2013年 / 18卷 / 08期

关键词：

plant phenomics; non-invasive sensor; image processing; plant growth; physiology; IMAGE-ANALYSIS TOOL; ARABIDOPSIS-THALIANA; LEAF GROWTH; QUANTITATIVE-ANALYSIS; ROOT ARCHITECTURE; GENE-EXPRESSION; AUTOMATIC QUANTIFICATION; CHLOROPHYLL FLUORESCENCE; CANOPY TEMPERATURE; VENATION PATTERNS;

D O I：

10.1016/j.tplants.2013.04.008

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

Imaging and image processing have revolutionized plant phenotyping and are now a major tool for phenotypic trait measurement. Here we review plant phenotyping systems by examining three important characteristics: throughput, dimensionality, and resolution. First, whole-plant phenotyping systems are highlighted together with advances in automation that enable significant throughput increases. Organ and cellular level phenotyping and its tools, often operating at a lower throughput, are then discussed as a means to obtain high-dimensional phenotypic data at elevated spatial and temporal resolution. The significance of recent developments in sensor technologies that give access to plant morphology and physiology-related traits is shown. Overall, attention is focused on spatial and temporal resolution because these are crucial aspects of imaging procedures in plant phenotyping systems.

引用

收藏

页码：433 / 444

页数：12

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