Field Phenotyping for the Future
Authors:
- 16 November 2018
- book chapter
- Published by Wiley
- Vol. 1 (3) , 719-736
Abstract
Global agricultural production has to double by 2050 to meet the demands of an increasing population and the challenges of a changing climate. Plant phenomics (the characterisation of the full set of phenotypes of a given species) has been proposed as a solution to relieve the ‘phenotyping bottleneck’ between functional genomics and plant breeding studies. In this article, we survey current approaches and describe recent technological and methodological advances for phenotyping under field conditions and discuss the prospects for these emerging technologies in addressing the challenges of future plant research.Keywords
This publication has 52 references indexed in Scilit:
- BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant BreedingSensors, 2013
- A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first resultsFunctional Plant Biology, 2012
- Tower remote-sensing system for monitoring energy crops; image acquisition and geometric correctionsBiosystems Engineering, 2012
- Recent patterns of crop yield growth and stagnationNature Communications, 2012
- Phenomics – technologies to relieve the phenotyping bottleneckTrends in Plant Science, 2011
- Population-Based Resequencing Reveals That the Flowering Time Adaptation of Cultivated Barley Originated East of the Fertile CrescentMolecular Biology and Evolution, 2008
- Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small PlotsSensors, 2008
- Correction of Low-altitude Thermal Images applied to estimating Soil Water StatusBiosystems Engineering, 2007
- Imaging from an unmanned aerial vehicle: agricultural surveillance and decision supportComputers and Electronics in Agriculture, 2004
- Hand-held radiometry and IR-thermography of plant diseases in field plot experiments†International Journal of Remote Sensing, 1991