TY - JOUR
T1 - Applying high-throughput phenotyping to plant-insect interactions
T2 - Picturing more resistant crops
AU - Goggin, Fiona L.
AU - Lorence, Argelia
AU - Topp, Christopher N.
N1 - Funding Information:
FLG and AL were supported by NSF award 1430428 and the Arkansas Center for Plant-Powered Production (NSF grant 1003970 ). CNT was supported by NSF award 1355406. We also thank Dhaval Shah for assistance with editing, and Juan Manuel Alvarez, William M Ciesla, Clemson University USDA Cooperative Extension, Whitney Cranshaw, Chris Fastie, Steven Katovich, the New York State Agricultural Experiment Station, JS Quick, David Riley, Alton N Sparks Jr., David Voegtlin, and Keith Weller for photographs.
Publisher Copyright:
© 2015 The Authors. Published by Elsevier Ltd.
PY - 2015/6/8
Y1 - 2015/6/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84941422340&partnerID=8YFLogxK
U2 - 10.1016/j.cois.2015.03.002
DO - 10.1016/j.cois.2015.03.002
M3 - Review article
AN - SCOPUS:84941422340
SN - 2214-5745
VL - 9
SP - 69
EP - 76
JO - Current Opinion in Insect Science
JF - Current Opinion in Insect Science
ER -