Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/72325
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFlavel, R.-
dc.contributor.authorGuppy, C.-
dc.contributor.authorTighe, M.-
dc.contributor.authorWatt, M.-
dc.contributor.authorMcNeill, A.-
dc.contributor.authorYoung, I.-
dc.date.issued2012-
dc.identifier.citationJournal of Experimental Botany, 2012; 63(7):2503-2511-
dc.identifier.issn0022-0957-
dc.identifier.issn1460-2431-
dc.identifier.urihttp://hdl.handle.net/2440/72325-
dc.description.abstractOne key constraint to further understanding plant root development is the inability to observe root growth in situ due to the opaque nature of soil. Of the present non-destructive techniques, computed tomography (CT) is best able to capture the complexities of the edaphic environment. This study compared the accuracy and impact of X-ray CT measurement of in situ root systems with standard technology (soil core washing and WinRhizo analysis) in the context of treatments that differed in the vertical placement of phosphorus fertilizers within the soil profile. Although root lengths quantified using WinRhizo were 8% higher than that observed in the same plants using CT, measurements of root length by the two methodologies were highly correlated. Comparison of scanned and unscanned plants revealed no effect of repeated scanning on plant growth and CT was not able to detect any changes in roots between phosphorus treatments that was observed using WinRhizo. Overall, the CT technique was found to be fast, safe, and able to detect roots at high spatial resolutions. The potential drawbacks of CT relate to the software to digitally segment roots from soil and air, which will improve significantly as automated segmentation algorithms are developed. The combination of very fast scans and automated segmentation will allow CT methodology to realize its potential as a high-throughput technique for the quantification of roots in soils.-
dc.description.statementofresponsibilityRichard J. Flavel, Christopher N. Guppy, Matthew Tighe, Michelle Watt, Ann McNeill and Iain M. Young-
dc.language.isoen-
dc.publisherOxford Univ Press-
dc.rights© The Author [2012]. Published by Oxford University Press [on behalf of the Society for Experimental Biology]. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1093/jxb/err421-
dc.subjectNon-destructive-
dc.subjectphosphorus-
dc.subjectplant nutrition-
dc.subjectroot analysis-
dc.subjectroot growth-
dc.subjecttomography-
dc.titleNon-destructive quantification of cereal roots in soil using high-resolution X-ray tomography-
dc.typeJournal article-
dc.identifier.doi10.1093/jxb/err421-
pubs.publication-statusPublished-
dc.identifier.orcidMcNeill, A. [0000-0002-6060-4661]-
Appears in Collections:Agriculture, Food and Wine publications
Aurora harvest 5

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.