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利用土壤磁共振成像实验验证功能-结构根系模型。

Functional-structural root-system model validation using a soil MRI experiment.

机构信息

Earth and Life Institute - Environmental Sciences, UCLouvain, Louvain-la-Neuve, Belgium.

Computational and Applied Vegetation Ecology Lab, Ghent University, Ghent, Belgium.

出版信息

J Exp Bot. 2019 May 9;70(10):2797-2809. doi: 10.1093/jxb/erz060.

DOI:10.1093/jxb/erz060
PMID:30799498
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6509106/
Abstract

For the first time, a functional-structural root-system model is validated by combining a tracer experiment monitored with magnetic resonance imaging and three-dimensional modeling of water and solute transport.

摘要

首次通过将示踪剂实验与磁共振成像监测以及水和溶质运移的三维建模相结合，验证了一个功能结构根系模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/b2123c5b17d6/erz060f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/0584ce1443af/erz060f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/53c9d1d3d726/erz060f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/2f459de85b50/erz060f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/4de5bdb35610/erz060f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/a9e2f1ece8bb/erz060f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/5e4cfa455154/erz060f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/8142765b91e1/erz060f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/7b5a8c6f9eaa/erz060f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/b2123c5b17d6/erz060f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/0584ce1443af/erz060f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/53c9d1d3d726/erz060f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/2f459de85b50/erz060f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/4de5bdb35610/erz060f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/a9e2f1ece8bb/erz060f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/5e4cfa455154/erz060f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/8142765b91e1/erz060f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/7b5a8c6f9eaa/erz060f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b512/6509106/b2123c5b17d6/erz060f0009.jpg

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Application of Improved UNet and EnglightenGAN for Segmentation and Reconstruction of In Situ Roots.改进的UNet和EnlightenGAN在原位根系分割与重建中的应用。
Plant Phenomics. 2023 Jul 6;5:0066. doi: 10.34133/plantphenomics.0066. eCollection 2023.
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