In vivo quantification of plant starch reserves at micrometer resolution using X-ray microCT imaging and machine learning-Reference-Cited by-同舟云学术

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In vivo quantification of plant starch reserves at micrometer resolution using X-ray microCT imaging and machine learning

Published:2018-03-08 Issue:3 Volume:218 Page:1260-1269
ISSN:0028-646X
Container-title:New Phytologist
language:en
Short-container-title:New Phytol

Author:

Earles J. Mason¹^ORCID,Knipfer Thorsten²,Tixier Aude³,Orozco Jessica³,Reyes Clarissa²,Zwieniecki Maciej A.³,Brodersen Craig R.¹,McElrone Andrew J.²⁴

Affiliation:

1. School of Forestry and Environmental Studies; Yale University; New Haven CT 06511 USA

2. Department of Viticulture and Enology; University of California; Davis CA 95616 USA

3. Department of Plant Sciences; University of California Davis; One Shields Ave. Davis CA 95616 USA

4. Crops Pathology and Genetics Research Unit; USDA-ARS; Davis CA 95618 USA

Publisher

Wiley

Subject

Plant Science,Physiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/nph.15068/fullpdf

Reference48 articles.

1. Nonstructural leaf carbohydrate dynamics of Pinus edulis during drought-induced tree mortality reveal role for carbon metabolism in mortality mechanism;Adams;New Phytologist,2013

2. A multi-species synthesis of physiological mechanisms in drought-induced tree mortality;Adams;Nature Ecology & Evolution,2017

3. Temporal variation of nonstructural carbohydrates in montane conifers: similarities and differences among developmental stages, species and environmental conditions;Bansal;Tree Physiology,2009

4. Visualizing wood anatomy in three dimensions with high-resolution X-ray micro-tomography (μCT) - a review;Brodersen;IAWA Journal,2013

5. Automated analysis of three-dimensional xylem networks using high-resolution computed tomography;Brodersen;New Phytologist,2011

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