Genome-wide association study of leaf architecture in the maize nested association mapping population

By Feng Tian, Peter J. Bradbury, P. Brown, Hsiao-Yi Hung, Qi Sun, Sherry Flint-Garcia, T. Rocheford, Michael D. McMullen, Jim Holland, Edward S. Buckler. Nature Genetics, 2011

1,014 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/7a2d5b2195d1d0f4e298251614f764685e306c80

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Citations in the corpus

Natural variations and genome-wide association studies in crop plants. (2014, methodology): “In maize, the genetic architectures of flowering time, leaf angle, leaf size, and disease resistance traits were dissected by conducting linkage mapping and GWAS jointly in the NAM panel, and multiple related candidate genes were identified (12, 58, 86, 109).”
An efficient multi-locus mixed model approach for genome-wide association studies in structured populations (2012, positive): “Another promising approach is resample model averaging 37 , which has been applied successfully to joint linkage association analysis 38 .”
Heterosis: Many Genes, Many Mechanisms—End the Search for an Undiscovered Unifying Theory (2012, background): “[58] F.”
SNP Discovery through Next-Generation Sequencing and Its Applications (2012, background): “The genetic structure of northern leaf blight, southern leaf blight, and leaf architecture was studied using ∼ 1.6 million SNPs in maize [133–135].”
The advantages and limitations of trait analysis with GWAS: a review (2013, background): “Genetic architectures with many small effects are observed in other animals [34] or maize [35].”
Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. (2020, neutral): “, 2017) to become powerful tools for elucidating the genetic architecture of complex traits (Atwell et al., 2010; Huang et al., 2010; Tian et al., 2011; Wang et al., 2018a; Zhang et al., 2019a), and many genes governing important agronomic traits have been identified (Zuo and Li, 2014; Yao et al.”
Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array (2014, background): “This capability provides opportunities to better utilize assays that reveal segregation at more than one duplicated locus in genetic diversity studies, GWAS and for investigating structural variation in the wheat genome.”
TASSEL-GBS: A High Capacity Genotyping by Sequencing Analysis Pipeline (2014, neutral): “This projection strategy is especially effective if the WGS reference haplotypes are representative of the founders of the study population [59].”
Genome-wide selection in cassava (2012, background): “Tian et al. (2011) demonstrated that the genetic architecture of corn leaf traits is dominated by small effects, with both epistasis and pleiotropy, particularly related to variations in liguleless genes that contribute to leaves being more erect.”
Genetic Analysis of Visually Scored Orange Kernel Color in Maize (2013, methodology): “, 2007) but clearly contrasts the complex architecture of maize flowering time, leaf architecture, inflorescence architecture, kernel composition, and foliar fungal resistance traits that are underpinned by 21 to 39 QTL in the maize NAM population (Brown et al., 2011; Buckler et al., 2009; Cook et a”