Evaluating maize phenotype dynamics under drought stress using terrestrial lidar-Reference-Cited by-同舟云学术

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Evaluating maize phenotype dynamics under drought stress using terrestrial lidar

Published:2019-02-04 Issue:1 Volume:15 Page:
ISSN:1746-4811
Container-title:Plant Methods
language:en
Short-container-title:Plant Methods

Author:

Su Yanjun,Wu Fangfang,Ao Zurui,Jin Shichao,Qin Feng,Liu Boxin,Pang Shuxin,Liu Lingli,Guo Qinghua

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

CAS Pioneer Hundred Talents Program

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s13007-019-0396-x.pdf

Reference71 articles.

1. An N, Palmer CM, Baker RL, Markelz RC, Ta J, Covington MF, Maloof JN, Welch SM, Weinig C. Plant high-throughput phenotyping using photogrammetry and imaging techniques to measure leaf length and rosette area. Comput Electron Agric. 2016;127:376–94.

2. Andújar D, Escolà A, Rosell-Polo JR, FernáNdez-Quintanilla C, Dorado J. Potential of a terrestrial LiDAR-based system to characterise weed vegetation in maize crops. Comput Electron Agric. 2013;92:11–5.

3. Andújar D, Rueda-Ayala V, Moreno H, Rosell-Polo JR, Valero C, Gerhards R, Fernández-Quintanilla C, Dorado J, Griepentrog H-W. Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor. Sensors. 2013;13:14662–75.

4. Anyia AO, Herzog H. Water-use efficiency, leaf area and leaf gas exchange of cowpeas under mid-season drought. Eur J Agron. 2004;20:327–39.

5. Araus JL, Cairns JE. Field high-throughput phenotyping: the new crop breeding frontier. Trends Plant Sci. 2014;19:52–61.

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