Plant phenotyping: increasing throughput and precision at multiple scales
Malcolm J. Hawkesford A C and Argelia Lorence B C
+ Author Affiliations
- Author Affiliations
A Rothamsted Research, Harpenden, AL5 2JQ, UK.
B Department of Chemistry and Physics and Arkansas Biosciences Institute, Arkansas State University, PO Box 639, State University, AR 72467, USA.
C Corresponding authors. Email: malcolm.hawkesford@rothamsted.ac.uk; alorence@astate.edu
Functional Plant Biology 44(1) v-vii https://doi.org/10.1071/FPv44n1_FO
Published: 14 December 2016
Abstract
In this special issue of Functional Plant Biology, we present a perspective of the current state of the art in plant phenotyping. The applications of automated and detailed recording of plant characteristics using a range of mostly non-invasive techniques are described. Papers range from tissue scale analysis through to aerial surveying of field trials and include model plant species such as Arabidopsis as well as commercial crops such as sugar beet and cereals. The common denominators are high throughput measurements, data rich analyses often utilising image based data capture, requirements for validation when proxy measurement are employed and in many instances a need to fuse datasets. The outputs are detailed descriptions of plant form and function. The papers represent technological advances and important contributions to basic plant biology, and these studies are commonly multidisciplinary, involving engineers, software specialists and plant physiologists. This is a fast moving area producing large datasets and analytical requirements are often common between very diverse platforms.
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