Corrigendum: Open access resources for genome-wide association mapping in rice

[1]  D. Akdemir,et al.  Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement , 2016, Heredity.

[2]  Kenneth L. McNally,et al.  Open access resources for genome-wide association mapping in rice , 2016, Nature Communications.

[3]  Susan McCouch,et al.  Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters , 2016, Nature Communications.

[4]  Qian Liu,et al.  The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality , 2015, Nature Genetics.

[5]  Q. Qian,et al.  Copy number variation at the GL7 locus contributes to grain size diversity in rice , 2015, Nature Genetics.

[6]  M. Lorieux,et al.  Whole Genome Sequencing of Elite Rice Cultivars as a Comprehensive Information Resource for Marker Assisted Selection , 2015, PloS one.

[7]  Doreen Ware,et al.  Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica , 2014, Genome Biology.

[8]  Thomas Meitinger,et al.  A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array , 2014, BMC Genomics.

[9]  Yanpeng Wang,et al.  Genome editing in rice and wheat using the CRISPR/Cas system , 2014, Nature Protocols.

[10]  M. Spalding,et al.  Large chromosomal deletions and heritable small genetic changes induced by CRISPR/Cas9 in rice , 2014, Nucleic acids research.

[11]  rice genomes The 3,000 rice genomes project , 2014, GigaScience.

[12]  M. Stephens,et al.  fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets , 2014, Genetics.

[13]  Zhe Zhang,et al.  Improving the Accuracy of Whole Genome Prediction for Complex Traits Using the Results of Genome Wide Association Studies , 2014, PloS one.

[14]  Hiroaki Sakai,et al.  Construction of Pseudomolecule Sequences of the aus Rice Cultivar Kasalath for Comparative Genomics of Asian Cultivated Rice , 2014, DNA research : an international journal for rapid publication of reports on genes and genomes.

[15]  M. Mette,et al.  Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat , 2014, Heredity.

[16]  M. Fitzgerald,et al.  Diversity of Global Rice Markets and the Science Required for Consumer-Targeted Rice Breeding , 2014, PloS one.

[17]  Md. Liakat Ali,et al.  Registration of the Rice Diversity Panel 1 for Genomewide Association Studies , 2014 .

[18]  Jiulin Wang,et al.  Gene SGL, encoding a kinesin-like protein with transactivation activity, is involved in grain length and plant height in rice , 2014, Plant Cell Reports.

[19]  Matthew Stephens,et al.  Variational Inference of Population Structure in Large SNP Datasets , 2013, bioRxiv.

[20]  Xin Zhang,et al.  Targeted mutagenesis in rice using CRISPR-Cas system , 2013, Cell Research.

[21]  Rod A Wing,et al.  The International Oryza Map Alignment Project: development of a genus-wide comparative genomics platform to help solve the 9 billion-people question. , 2013, Current opinion in plant biology.

[22]  Z. Hong,et al.  Genetic bases of rice grain shape: so many genes, so little known. , 2013, Trends in plant science.

[23]  S. Mccouch,et al.  Multiple and independent origins of short seeded alleles of GS3 in rice , 2013, Breeding science.

[24]  G. Jiang Molecular Markers and Marker-Assisted Breeding in Plants , 2013 .

[25]  A. Fujiyama,et al.  A map of rice genome variation reveals the origin of cultivated rice , 2012, Nature.

[26]  Qian Qian,et al.  Control of grain size, shape and quality by OsSPL16 in rice , 2012, Nature Genetics.

[27]  H. Sassa,et al.  An atypical bHLH protein encoded by POSITIVE REGULATOR OF GRAIN LENGTH 2 is involved in controlling grain length and weight of rice through interaction with a typical bHLH protein APG , 2012, Breeding science.

[28]  M. Yano,et al.  Genome-Wide Haplotype Changes Produced by Artificial Selection during Modern Rice Breeding in Japan , 2012, PloS one.

[29]  H. Sassa,et al.  Antagonistic Actions of HLH/bHLH Proteins Are Involved in Grain Length and Weight in Rice , 2012, PloS one.

[30]  Lin Fang,et al.  Resequencing 50 accessions of cultivated and wild rice yields markers for identifying agronomically important genes , 2011, Nature Biotechnology.

[31]  Qian Qian,et al.  Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm , 2011, Nature Genetics.

[32]  Hidemi Kitano,et al.  Small and round seed 5 gene encodes alpha-tubulin regulating seed cell elongation in rice , 2012, Rice.

[33]  Lijun Luo,et al.  Natural variation in GS5 plays an important role in regulating grain size and yield in rice , 2011, Nature Genetics.

[34]  Mark H. Wright,et al.  Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa , 2011, Nature communications.

[35]  Keyan Zhao,et al.  Genetic Architecture of Aluminum Tolerance in Rice (Oryza sativa) Determined through Genome-Wide Association Analysis and QTL Mapping , 2011, PLoS genetics.

[36]  Chongrong Wang,et al.  Functional markers developed from multiple loci in GS3 for fine marker-assisted selection of grain length in rice , 2011, Theoretical and Applied Genetics.

[37]  Qifa Zhang,et al.  Genome-wide association studies of 14 agronomic traits in rice landraces , 2010, Nature Genetics.

[38]  M. Yano,et al.  The SMALL AND ROUND SEED1 (SRS1/DEP2) gene is involved in the regulation of seed size in rice. , 2010, Genes & genetic systems.

[39]  Hidemi Kitano,et al.  A novel kinesin 13 protein regulating rice seed length. , 2010, Plant & cell physiology.

[40]  Zhiwu Zhang,et al.  Mixed linear model approach adapted for genome-wide association studies , 2010, Nature Genetics.

[41]  M. Yano,et al.  Fine definition of the pedigree haplotypes of closely related rice cultivars by means of genome-wide discovery of single-nucleotide polymorphisms , 2010, BMC Genomics.

[42]  Mallikarjuna Rao Kovi,et al.  Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL7 , 2010, BMC Genetics.

[43]  C. Bustamante,et al.  Evolutionary History of GS3, a Gene Conferring Grain Length in Rice , 2009, Genetics.

[44]  M. Fitzgerald,et al.  Not just a grain of rice: the quest for quality. , 2009, Trends in plant science.

[45]  Yunbi Xu,et al.  Leaf-level water use efficiency determined by carbon isotope discrimination in rice seedlings: genetic variation associated with population structure and QTL mapping , 2009, Theoretical and Applied Genetics.

[46]  E. Septiningsih,et al.  Development of submergence-tolerant rice cultivars: the Sub1 locus and beyond. , 2009, Annals of botany.

[47]  Zhijun Cheng,et al.  Isolation and initial characterization of GW5, a major QTL associated with rice grain width and weight , 2008, Cell Research.

[48]  Wei He,et al.  Control of rice grain-filling and yield by a gene with a potential signature of domestication , 2008, Nature Genetics.

[49]  Yoichiro Kojima,et al.  Development of mini core collection of Japanese rice landrace , 2008 .

[50]  J. Selberg The quest for quality. , 2008, Hospitals & health networks.

[51]  Kaworu Ebana,et al.  Deletion in a gene associated with grain size increased yields during rice domestication , 2008, Nature Genetics.

[52]  D. Mackill,et al.  Marker-assisted selection: an approach for precision plant breeding in the twenty-first century , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[53]  Wei Huang,et al.  A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase , 2007, Nature Genetics.

[54]  David Moldenjv Water for Food, Water for Life , 2007 .

[55]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[56]  Bin Han,et al.  GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein , 2006, Theoretical and Applied Genetics.

[57]  M. Kawase,et al.  Development of an RFLP-based Rice Diversity Research Set of Germplasm , 2005 .

[58]  李佩芳 International Rice Genome Sequencing Project. 2005. The map-based sequence of the rice genome. , 2005 .

[59]  Amanda J. Garris,et al.  Genetic Structure and Diversity in Oryza sativa L. , 2005, Genetics.

[60]  M. Yano,et al.  A Novel Cytochrome P450 Is Implicated in Brassinosteroid Biosynthesis via the Characterization of a Rice Dwarf Mutant, dwarf11, with Reduced Seed Length , 2005, The Plant Cell Online.

[61]  Michael T. Jackson,et al.  Conservation of rice genetic resources: the role of the International Rice Genebank at IRRI , 1997, Plant Molecular Biology.

[62]  Z. Hong,et al.  A Rice Brassinosteroid-Deficient Mutant, ebisu dwarf (d2), Is Caused by a Loss of Function of a New Member of Cytochrome P450 Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.014712. , 2003, The Plant Cell Online.

[63]  Huanming Yang,et al.  A Draft Sequence of the Rice Genome (Oryza sativa L. ssp. indica) , 2002, Science.

[64]  Huanming Yang,et al.  A Draft Sequence of the Rice Genome (Oryza sativa L. ssp. japonica) , 2002, Science.

[65]  M. Matsuoka,et al.  Loss of Function of a Rice brassinosteroid insensitive1 Homolog Prevents Internode Elongation and Bending of the Lamina Joint , 2000, Plant Cell.

[66]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[67]  W. J. Ridgman Quantitative Genetics in Maize Breeding , 2nd edn. By A. R. Hallauer & J. B. Miranda Filho. xii+468 pages. Ames: Iowa State University Press. 1988. Price (hard covers) US $44.95. ISBN 0 8138 1522 3. , 1989, The Journal of Agricultural Science.

[68]  R. Lewontin The Interaction of Selection and Linkage. I. General Considerations; Heterotic Models. , 1964, Genetics.