2017
DOI: 10.1186/s13007-017-0252-9
|View full text |Cite
|
Sign up to set email alerts
|

Non-invasive imaging of plant roots in different soils using magnetic resonance imaging (MRI)

Abstract: BackgroundRoot systems are highly plastic and adapt according to their soil environment. Studying the particular influence of soils on root development necessitates the adaptation and evaluation of imaging methods for multiple substrates. Non-invasive 3D root images in soil can be obtained using magnetic resonance imaging (MRI). Not all substrates, however, are suitable for MRI. Using barley as a model plant we investigated the achievable image quality and the suitability for root phenotyping of six commercial… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
58
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 94 publications
(65 citation statements)
references
References 19 publications
0
58
0
Order By: Relevance
“…3Signal deterioration due to soil structure and water content is lower for PET than for MRI and CT, and a high soil water content affects CT more than MRI (Jahnke et al, 2009). In addition, soil with high sand and low clay (or silt) content yielded better image quality for both MRI and CT (Pflugfelder et al, 2017). (4) Finally, the time requirements for both PET scanning (R60 min) and MRI scanning (approximately 40-60 min) are generally greater than those for CT, which means that it would be difficult to use MRI and PET for phenotyping populations on a large scale, as required for genetic studies (Jahnke et al, 2009;Metzner et al, 2015).…”
Section: Going Underground: An Added Challenge In Plant Phenotypingmentioning
confidence: 99%
“…3Signal deterioration due to soil structure and water content is lower for PET than for MRI and CT, and a high soil water content affects CT more than MRI (Jahnke et al, 2009). In addition, soil with high sand and low clay (or silt) content yielded better image quality for both MRI and CT (Pflugfelder et al, 2017). (4) Finally, the time requirements for both PET scanning (R60 min) and MRI scanning (approximately 40-60 min) are generally greater than those for CT, which means that it would be difficult to use MRI and PET for phenotyping populations on a large scale, as required for genetic studies (Jahnke et al, 2009;Metzner et al, 2015).…”
Section: Going Underground: An Added Challenge In Plant Phenotypingmentioning
confidence: 99%
“…Phenotyping in 4D can be done with magnetic resonance imaging (MRI), X-ray computed tomography (CT), and positron emission tomography (PET) [38]. These technologies can measure root growth in different soil types and in undisturbed soil cores [39][40][41], and in response to phosphorus [42] and water [43]. Activation of meristematic activity in adventitious root development [23] ( Figure 2B) and branch roots [44] have been quantified with MRI, and 11 C allocation in roots was detected with PET and co-registered with MRI images of the same plants [45].…”
Section: Functional and Dynamic Phenotypes For Capture Of Soil Resourcesmentioning
confidence: 99%
“…The lack of reliable information on growing environments and individual plant measurements has bottlenecked advancements in improving crop yield [ 7 , 8 ]. Narrowing the issue further, the non-destructive collection of accurate data on roots, a complicated organ that is critical in the development of the plant, has proven to be a significant challenge that severely inhibits plant phenotyping research [ 9 , 10 , 11 , 12 , 13 ]. The challenge of characterizing plant roots comes with the hidden nature of the roots as they are concealed by the medium they are grown in, often needing destructive methods of measuring root development [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…Studies often required expensive rental time on third party MRI machines. Moreover, MRI has difficulties imaging roots uncontrolled soil conditions [ 10 , 13 ].…”
Section: Introductionmentioning
confidence: 99%