Abstract
Remote sensing and spectral reflectance measurements of plants has long been used to assess the growth and nutrient status of plants in a noninvasive manner. With improved imaging and computer technologies, these approaches can now be used at high-throughput for more extensive physiological and genetic studies. Here, we present an example of how high-throughput imaging can be used to study the growth of plants exposed to different nutrient levels. In addition, the color of the leaves can be used to estimate leaf chlorophyll and nitrogen status of the plant.
Parts of this chapter were adapted from a volume on Plant Salt Tolerance and High-throughput Phenotyping in Plants within the series of Methods in Molecular Biology with the permission of the editors.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Stewart WM, Dibb DW, Johnston AE et al (2005) The contribution of commercial fertilizer nutrients to food production. Agron J 97(1):1–6
Montes JM, Melchinger AE, Reif JC (2007) Novel throughput phenotyping platforms in plant genetic studies. Trends Plant Sci 12(10):433–436
Genc Y, McDonald GK, Tester M (2007) Reassessment of tissue Na+ concentration as a criterion for salinity tolerance in bread wheat. Plant Cell Environ 30:1486–1498
Passioura JB (2006) The perils of pot experiments. Funct Plant Biol 33(12):1075–1079
Murphy PJ, Langridge P, Smith SE (1997) Cloning plant genes differentially expressed during colonization of roots of Hordeum vulgare by the vesicular-arbuscular mycorrhizal fungus Glomus intraradices. New Phytol 135(2):291–301
Granier C, Aguirrezabal L, Chenu K et al (2006) PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit. New Phytol 169(3):623–635
Jansen M, Gilmer F, Biskup B et al (2009) Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via GROWSCREEN FLUORO allows detection of stress tolerance in Arabidopsis thaliana and other rosette plants. Funct Plant Biol 36(10–11):902–914
Hunter F, Biver S, Fuqua P (2007) Light-science & magic: an introduction to photographic lighting. Focal Press Oxford, UK
Gonzalez RC, Woods RE (2006) Digital image processing, 3rd edn. Prentice-Hall, Inc. NJ, USA
Yadav SP, Ibaraki Y, Gupta SD (2010) Estimation of the chlorophyll content of micropropagated potato plants using RGB based image analysis. Plant Cell Tissue Organ Cult 100(2):183–188
Vollmann J, Walter H, Sato T et al (2011) Digital image analysis and chlorophyll metering for phenotyping the effects of nodulation in soybean. Comput Electron Agric 75(1):190–195
Pagola M, Ortiz R, Irigoyen I et al (2009) New method to assess barley nitrogen nutrition status based on image colour analysis: comparison with SPAD-502. Comput Electron Agric 65(2):213–218
CIE (1976) Colorimetry, 2nd edn (Publication CIE No, 15.2). Central Bureau of the Commission Internationale de L’Eclairage, Vienna
Karcher DE, Richardson MD (2003) Quantifying turfgrass color using digital image analysis. Crop Sci 43(3):943–951
Rorie RL, Purcell LC, Karcher DE et al (2011) The assessment of leaf nitrogen in corn from digital images. Crop Sci 51(5):2174–2180
Hunt R (1978) Plant growth analysis. Edward Arnold Ltd.
Hunt R, Causton DR, Shipley B et al (2002) A modern tool for classical plant growth analysis. Ann Bot 90(4):485–488
Watson DJ (1947) Comparative physiological studies on the growth of field crops. Ann Bot 11(41):41–76
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media, LLC
About this protocol
Cite this protocol
Berger, B., de Regt, B., Tester, M. (2013). Applications of High-Throughput Plant Phenotyping to Study Nutrient Use Efficiency. In: Maathuis, F. (eds) Plant Mineral Nutrients. Methods in Molecular Biology, vol 953. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-152-3_18
Download citation
DOI: https://doi.org/10.1007/978-1-62703-152-3_18
Published:
Publisher Name: Humana Press, Totowa, NJ
Print ISBN: 978-1-62703-151-6
Online ISBN: 978-1-62703-152-3
eBook Packages: Springer Protocols