An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice-Reference-Cited by-同舟云学术

An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice

Published:2017-06-30 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Feng Hui^ORCID,Guo Zilong,Yang Wanneng,Huang Chenglong,Chen Guoxing,Fang Wei,Xiong Xiong,Zhang Hongyu,Wang Gongwei,Xiong Lizhong^ORCID,Liu Qian

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-017-04668-8.pdf

Reference36 articles.

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2. Yang, W. et al. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nat.Commun. 5, 5087 (2014).

3. Granier, C. & Vile, D. Phenotyping and beyond: modelling the relationships between traits. Curr.Opin.Plant Biol. 18, 96–102 (2014).

4. Yang, W., Duan, L., Chen, G., Xiong, L. & Liu, Q. Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies. Curr.Opin.Plant Biol. 16, 180–187 (2013).

5. Houle, D., Govindaraju, D. R. & Omholt, S. Phenomics: the next challenge. Nat. Rev. Genet. 11, 855–866 (2010).

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