High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel-Reference-Cited by-同舟云学术

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High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel

Published:2019-06-26 Issue:1 Volume:15 Page:
ISSN:1746-4811
Container-title:Plant Methods
language:en
Short-container-title:Plant Methods

Author:

Ge Yufeng,Atefi Abbas,Zhang Huichun,Miao Chenyong,Ramamurthy Raghuprakash Kastoori,Sigmon Brandi,Yang Jinliang,Schnable James C.

Funder

National Science Foundation

USDA NIFA

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s13007-019-0450-8.pdf

Reference37 articles.

1. Fiorani F, Schurr U. Future scenarios for plant phenotyping. Annu Rev Plant Biol. 2013;64:267–91.

2. Araus JL, Cairns JE. Field high-throughput phenotyping: the new crop breeding frontier. Trends Plants Sci. 2013;19:52–61.

3. Furbank RT, Tester M. Phenomics—technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 2011;16:635–44.

4. Ge Y, Bai G, Stoerger V, Schnable JC. Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging. Comput Electron Agric. 2016;127:625–32.

5. Neilson EH, Edwards AM, Blomstedt CK, Berger B, Moller BL, Gleadow RM. Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time. J Exp Bot. 2015;66:1817–32.

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