Methods to estimate changes in soil water for phenotyping root activity in the field

A - Papers appearing in refereed journals

Whalley, W. R., Binley, A., Watts, C. W., Shanahan, P., Dodd, I. C., Ober, E. S., Ashton, R. W., Webster, C. P., White, R. P. and Hawkesford, M. J. 2017. Methods to estimate changes in soil water for phenotyping root activity in the field. Plant and Soil. 415 (1-2), pp. 407-422.

AuthorsWhalley, W. R., Binley, A., Watts, C. W., Shanahan, P., Dodd, I. C., Ober, E. S., Ashton, R. W., Webster, C. P., White, R. P. and Hawkesford, M. J.
Abstract

Background and aims. There is an urgent need to develop new high throughput approaches to phenotype roots in the field. Excavating roots to make direct measurements is labour intensive. An alternative to excavation is to measure soil drying profiles and to infer root activity.
Methods. We grew 23 lines of wheat in 2013, 2014 and 2015. In each year we estimated soil water profiles with electrical resistance tomography (ERT), electromagnetic inductance (EMI), penetrometer measurements and measurements of soil water content. We determined the relationships between the measured variable and soil water content and matric potential.
Results. We found that ERT and penetrometer measurements were closely related to soil matric potential and produced the best discrimination between wheat lines. We found genotypic differences in depth of water uptake in soil water profiles and in the extent of surface drying.
Conclusions. Penetrometer measurements can provide a reliable approach to comparing soil drying profiles by different wheat lines, and genotypic rankings are repeatable across years. EMI, which is more sensitive to soil water content than matric potential, and is less effective in drier soils than the penetrometer or ERT, nevertheless can be used to rapidly screen large populations for differences in root activity.

KeywordsRRES175; 175_Plant sciences; 175_Soil science
Year of Publication2017
JournalPlant and Soil
Journal citation415 (1-2), pp. 407-422
Digital Object Identifier (DOI)doi:10.1007/s11104-016-3161-1
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeWheat
Phenotyping root function in wheat
[20:20 Wheat] Soil resource interactions
[20:20 Wheat] Maximising yield potential of wheat
Publisher's version
Copyright license
CC BY
Output statusPublished
Publication dates
Online12 Jan 2017
Publication process dates
Accepted20 Dec 2016
PublisherSpringer Nature
Springer
Copyright licenseCC BY
ISSN0032-079X

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