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Edward S. Buckler

Researcher at Cornell University

Publications -  313
Citations -  65092

Edward S. Buckler is an academic researcher from Cornell University. The author has contributed to research in topics: Population & Quantitative trait locus. The author has an hindex of 97, co-authored 294 publications receiving 55140 citations. Previous affiliations of Edward S. Buckler include Agricultural Research Service & United States Department of Agriculture.

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TASSEL: software for association mapping of complex traits in diverse samples

TL;DR: TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure and allows for linkage disequilibrium statistics to be calculated and visualized graphically.
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A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species

TL;DR: A procedure for constructing GBS libraries based on reducing genome complexity with restriction enzymes (REs) is reported, which is simple, quick, extremely specific, highly reproducible, and may reach important regions of the genome that are inaccessible to sequence capture approaches.
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Genome-wide association studies of 14 agronomic traits in rice landraces

TL;DR: This study identifies ∼3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method, demonstrating that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.
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Mixed linear model approach adapted for genome-wide association studies.

TL;DR: A compression approach is reported, called 'compressed MLM', that decreases the effective sample size of such datasets by clustering individuals into groups and a complementary approach, 'population parameters previously determined' (P3D), that eliminates the need to re-compute variance components.