Applying high-throughput phenotyping to plant-insect interactions: picturing more resistant crops

被引：62

作者：

Goggin, Fiona L. ^{[1
]}

Lorence, Argelia ^{[2
]}

Topp, Christopher N. ^{[3
]}

机构：

[1] Univ Arkansas, Dept Entomol, 319 Agr Bldg, Fayetteville, AR 72701 USA

[2] Arkansas State Univ, Arkansas Biosci Inst, State Univ, AR 72467 USA

[3] Danforth Ctr, St Louis, MO 63132 USA

来源：

CURRENT OPINION IN INSECT SCIENCE | 2015年 / 9卷

基金：

美国国家科学基金会;

关键词：

ARABIDOPSIS-THALIANA; IMAGE-ANALYSIS; CHLOROPHYLL FLUORESCENCE; LEAF-AREA; GROWTH; ROOT; GROWSCREEN; PHENOMICS; PLATFORM; SYSTEM;

D O I：

10.1016/j.cois.2015.03.002

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Through automated image collection and analysis, high-throughput phenotyping (HTP) systems non-destructively quantify a diversity of traits in large plant populations. Some platforms collect data in greenhouses or growth chambers while others are field-based. Platforms also vary in the number and type of sensors, including visible, fluorescence, infrared, hyperspectral, and three-dimensional cameras that can detect traits within and beyond the visible spectrum. These systems could be applied to quantify the impact of herbivores on plant health, to monitor herbivores in choice or no-choice bioassays, or to estimate plant properties such as defensive allelochemicals. By increasing the throughput, precision, and dimensionality of these measures, HTP has the potential to revolutionize the field of plant-insect interactions, including breeding programs for resistance and tolerance.

引用

页码：69 / 76

页数：8

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