Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm

By Xuehui Huang, Yan Zhao, Xinghua Wei, Canyang Li, Ahong Wang, Qiang Zhao, Wenjun Li, Yunli Guo, Liuwei Deng, Chuanrang Zhu and 14 more. Nature Genetics, 2011

956 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/51e3c2cefe978024a52eac17c6edb37fbfab5773

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Xuehui Huang
2. Bin Han
3. Jianchang Yang
4. Zhiqing Wang
5. Hao Zhang
6. Takuji Sasaki
7. N. Emery
8. M. Thomson

In Plant Science

1. Jianchang Yang
2. Hao Zhang
3. M. Thomson
4. Zhiqing Wang
5. Junfei Gu
6. Bin Han
7. Xuehui Huang
8. Takuji Sasaki

Citations in the corpus

• The advantages and limitations of trait analysis with GWAS: a review (2013, background): “GWAS are now routinely applied in a range of model organisms including Arabidopsis [14] and mouse [15], and to non-model systems including crops [16-18] and cattle [19].”
• Rice Annotation Project Database (RAP-DB): An Integrative and Interactive Database for Rice Genomics (2013, background): “With the recent advances in sequencing technology, an unprecedented scale of genomic research, such as genome-wide association studies (GWASs), has been conducted in the rice research area (Huang et al. 2010, Huang et al. 2012a, Huang et al. 2012b).”
• Natural variations and genome-wide association studies in crop plants. (2014, background): “GWAS have now been carried out successfully in many crops, including maize, rice, sorghum, and foxtail millet (41, 42, 50, 58, 61, 76, 109, 136).”
• High-Throughput SNP Genotyping to Accelerate Crop Improvement (2014, background): “13X sequence coverage for mapping populations and approximately 1X sequence coverage for diverse germplasm (Huang et al. 2009; Huang et al. 2010; Xu et al. 2010; Huang et al. 2012).”
• Evolution of plant materials for ecological restoration: insights from the applied and basic literature (2017, background): “Variation in flowering time may be a good proxy for genetic variation in the offspring population because this trait is generally controlled by multiple loci distributed over entire genomes (Buckler et al. 2009; Salom e et al. 2011; Huang et al. 2012; Charmantier, Garant & Kruuk 2014).”
• Grain quality changes and responses to nitrogen fertilizer of japonica rice cultivars released in the Yangtze River Basin from the 1950s to 2000s (2015, methodology): “[24] used a large and diverse sample of 950 worldwide rice varieties and found considerable variations in traits related to grain quality such as gelatinization temperature, amylose content, and grain protein content.”
• Genome Wide Association Mapping of Sclerotinia sclerotiorum Resistance in Soybean with a Genotyping‐by‐Sequencing Approach (2014, background): “, 2010) and rice (Oryza sativa L.; Huang et al., 2012).”
• Improvement of the Oryza sativa Nipponbare reference genome using next generation sequence and optical map data (2013, background): “Since the polymorphism differences between rice cultivars are limited, a high quality reference genome sequence is essential for the comparison of closely related rice cultivars (Zhang et al. 2010; Lu et al. 2010; Huang et al. 2012; Xu et al. 2012; Yang et al. 2012) so that errors can be minimized.”