Lights, camera, action: high-throughput plant phenotyping is ready for a close-up

被引：443

作者：

Fahlgren, Noah ^{[1
]}

Gehan, Malia A. ^{[1
]}

Baxter, Ivan ^{[2
]}

机构：

[1] Donald Danforth Plant Sci Ctr, St Louis, MO 63132 USA

[2] ARS, USDA, Donald Danforth Plant Sci Ctr, Washington, DC USA

来源：

CURRENT OPINION IN PLANT BIOLOGY | 2015年 / 24卷

基金：

美国国家科学基金会;

关键词：

NATURAL GENETIC-VARIATION; CHLOROPHYLL FLUORESCENCE; ARABIDOPSIS-THALIANA; ANALYSIS PLATFORM; LEAF GROWTH; TOLERANCE; PHENOMICS; VISION;

D O I：

10.1016/j.pbi.2015.02.006

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

Anticipated population growth, shifting demographics, and environmental variability over the next century are expected to threaten global food security. In the face of these challenges, crop yield for food and fuel must be maintained and improved using fewer input resources. In recent years, genetic tools for profiling crop germplasm has benefited from rapid advances in DNA sequencing, and now similar advances are needed to improve the throughput of plant phenotyping. We highlight recent developments in high-throughput plant phenotyping using robotic-assisted imaging platforms and computer vision-assisted analysis tools.

引用

页码：93 / 99

页数：7

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