Plant phenotyping: increasing throughput and precision at multiple scales.

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.

[1]  M. Hawkesford,et al.  Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring. , 2016, Functional plant biology : FPB.

[2]  Menachem Moshelion,et al.  The advantages of functional phenotyping in pre-field screening for drought-tolerant crops. , 2016, Functional plant biology : FPB.

[3]  B. Muller,et al.  Phenotyping oilseed rape growth-related traits and their responses to water deficit: the disturbing pot size effect. , 2016, Functional plant biology : FPB.

[4]  J. Lynch,et al.  Integration of root phenes for soil resource acquisition , 2013, Front. Plant Sci..

[5]  Achim Walter,et al.  The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system. , 2016, Functional plant biology : FPB.

[6]  Kristian Kersting,et al.  Hyperspectral imaging reveals the effect of sugar beet quantitative trait loci on Cercospora leaf spot resistance. , 2016, Functional plant biology : FPB.

[7]  B. Barkla,et al.  Use of infrared thermography for monitoring crassulacean acid metabolism. , 2016, Functional plant biology : FPB.

[8]  M. Bourgault,et al.  Pot size matters revisited: does container size affect the response to elevated CO2 and our ability to detect genotypic variability in this response in wheat? , 2016, Functional plant biology : FPB.

[9]  Seishi Ninomiya,et al.  Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV. , 2016, Functional plant biology : FPB.

[10]  Michael P. Pound,et al.  Approaches to three-dimensional reconstruction of plant shoot topology and geometry. , 2016, Functional plant biology : FPB.

[11]  M. Tester,et al.  Phenomics--technologies to relieve the phenotyping bottleneck. , 2011, Trends in plant science.

[12]  Xinyu Guo,et al.  Micron-scale phenotyping quantification and three-dimensional microstructure reconstruction of vascular bundles within maize stalks based on micro-CT scanning. , 2016, Functional plant biology : FPB.

[13]  Jose A. Jiménez-Berni,et al.  Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping , 2014 .

[14]  Ulrich Schurr,et al.  GrowScreen-PaGe, a non-invasive, high-throughput phenotyping system based on germination paper to quantify crop phenotypic diversity and plasticity of root traits under varying nutrient supply. , 2016, Functional plant biology : FPB.

[15]  Anne-Katrin Mahlein,et al.  Osmotic adjustment of young sugar beets (Beta vulgaris) under progressive drought stress and subsequent rewatering assessed by metabolite analysis and infrared thermography. , 2016, Functional plant biology : FPB.

[16]  Argelia Lorence,et al.  Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis. , 2016, Functional plant biology : FPB.

[17]  Uwe Rascher,et al.  Observation of plant-pathogen interaction by simultaneous hyperspectral imaging reflection and transmission measurements. , 2016, Functional plant biology : FPB.