The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice
Open accessAbstract
Even as the study of plant genomics rapidly develops through the use of high-throughput sequencing techniques, traditional plant phenotyping lags far behind. Here we develop a high-throughput rice phenotyping facility (HRPF) to monitor 13 traditional agronomic traits and 2 newly defined traits during the rice growth period. Using genome-wide association studies (GWAS) of the 15 traits, we identify 141 associated loci, 25 of which contain known genes such as the Green Revolution semi-dwarf gene, SD1. Based on a performance evaluation of the HRPF and GWAS results, we demonstrate that high-throughput phenotyping has the potential to replace traditional phenotyping techniques and can provide valuable gene identification information. The combination of the multifunctional phenotyping tools HRPF and GWAS provides deep insights into the genetic architecture of important traits.
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Self-citationGenetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings
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The rice genome revolution: from an ancient grain to Green Super Rice
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Self-citationApplications of Multi-Omics Technologies for Crop Improvement
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Metadata
- Authors
- Yang, W., Guo, Z., Huang, C., Duan, L., Chen, G., Jiang, N., Fang, W., Feng, H., Xie, W., Lian, X., Wang, G., Luo, Q., Zhang, Q., Liu, Q., & Xiong, L.
- Venue
- Nature Communications
- Published
- 2014-10-08
- Volume
- 5
- Issue
- 1
- Pages
- 5087-5087
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2053465517
- Cited by
- 598
- References
- 38
- FWCI
- 21.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Yang, W., Guo, Z., Huang, C., Duan, L., Chen, G., Jiang, N., Fang, W., Feng, H., Xie, W., Lian, X., Wang, G., Luo, Q., Zhang, Q., Liu, Q., & Xiong, L. (2014). Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nature Communications. https://doi.org/10.1038/ncomms6087
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