The Genetic Architecture of Maize Flowering Time
By Edward Buckler, James B. Holland, Peter J. Bradbury, C. Acharya, Patrick J Brown, C. Browne, Elhan Ersoz, Sherry Flint-Garcia, A. García, Jeffrey Glaubitz and 26 more. Science, 2009
1,206 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/6428a4ef6b2376c1e47c7665c7d32aa9205dfff2
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In Genetics
In Plant Science
Citations in the corpus
- Conserving and Enhancing Maize Genetic Resources as Global Public Goods- A Perspective from CIMMYT (2010, neutral): “Several genes with important functions in maize are being studied through comprehensive association genetics research using methods such as nested association mapping (Buckler et al., 2009; McMullen et al., 2009).”
- Genome‐wide Association for Plant Height and Flowering Time across 15 Tropical Maize Populations under Managed Drought Stress and Well‐Watered Conditions in Sub‐Saharan Africa (2016, neutral): “Most maize flowering time QTLs have small individual effects (Buckler et al. 2009).”
- Association Mapping for Enhancing Maize (Zea mays L.) Genetic Improvement (2011, neutral): “Because only a few of the ~50 QTL identifi ed by NAM for fl owering time in maize explained more than 3% of the variation in this trait (Buckler et al., 2009), populations of 500 genotypes clearly provide insuffi cient QTL detection power to be of much value in GWA studies of agronomic traits in…”
- Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding (2013, neutral): “There is a general consensus that most traits are affected by large numbers of small-effect genes (see Buckler et al. 2009, for examples of traits in maize affected by large numbers of small-effect loci) and that the prediction of complex traits requires considering large numbers of variants…”
- SNP Discovery through Next-Generation Sequencing and Its Applications (2012, neutral): “The identification of candidate genes for flowering time in Brassica [127] and maize [128] are practical examples of gene discovery through SNP-based genetic maps.”
- Heterosis: Many Genes, Many Mechanisms—End the Search for an Undiscovered Unifying Theory (2012, positive): “[56] E.”
- BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions (2018, neutral): “These three genes were also the Quantitative Trait Nucleotides (QTLs) detected in the Nested Association Mapping (NAM) population [34].”
- Field-based phenomics for plant genetics research (2012, neutral): “The maize nested association mapping (NAM) population consists of 25 biparental crosses, each represented by 200 lines (Buckler et al., 2009; McMullen et al., 2009), giving a total of 5000 lines.”
- Efficiency of selective genotyping for genetic analysis of complex traits and potential applications in crop improvement (2010, neutral): “The need for populations of this large size to detect small QTL was recently demonstrated in mapping QTL for flowering time in maize using nested mapping populations totaling over 5,000 lines (Buckler et al. 2009).”
- The genetic dissection of quantitative traits in crops (2010, neutral): “Buckler et al. (2009) evaluated nearly a million maize plants in eight environments and found no evidence for any single large effect QTL for flowering time.”
- Evolution of plant materials for ecological restoration: insights from the applied and basic literature (2017, neutral): “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).”