2017 - CSSA Presidential Award, American Society of Agronomy
2014 - Member of the National Academy of Sciences
2012 - Fellow of the American Association for the Advancement of Science (AAAS)
Edward S. Buckler mainly investigates Genetics, Quantitative trait locus, Nested association mapping, Linkage disequilibrium and Genetic diversity. Genetic association, Genome, Genetic variation, Association mapping and Genome-wide association study are among the areas of Genetics where he concentrates his study. Edward S. Buckler focuses mostly in the field of Genome, narrowing it down to matters related to Domestication and, in some cases, Introgression and Botany.
Edward S. Buckler combines subjects such as Inbred strain and Plant breeding with his study of Genetic variation. He interconnects Nucleotide diversity, Germplasm and Genomics in the investigation of issues within Quantitative trait locus. His Nested association mapping research is multidisciplinary, incorporating perspectives in Epistasis, International HapMap Project and Plant disease resistance.
Edward S. Buckler mainly focuses on Genetics, Quantitative trait locus, Gene, Genome and Nested association mapping. His works in Genome-wide association study, Single-nucleotide polymorphism, Genetic variation, Genetic association and Candidate gene are all subjects of inquiry into Genetics. His biological study spans a wide range of topics, including Genetic diversity, Epistasis, Plant breeding, Domestication and Adaptation.
His Quantitative trait locus study combines topics from a wide range of disciplines, such as Association mapping, Linkage disequilibrium, Allele and Inbred strain. The concepts of his Genome study are interwoven with issues in Computational biology and Haplotype. His Computational biology study combines topics in areas such as Genotyping, Whole genome sequencing, DNA sequencing and Transcription factor.
His primary areas of study are Gene, Genome, Genetics, Computational biology and Evolutionary biology. His Gene course of study focuses on Domestication and Local adaptation, Genetic drift, Selection, Genetic architecture and Population genetics. Edward S. Buckler regularly links together related areas like Sorghum in his Genetics studies.
His studies in Computational biology integrate themes in fields like Deep learning, Artificial intelligence, Transcription factor and DNA sequencing. His Evolutionary biology research is multidisciplinary, relying on both Germplasm, Nested association mapping, Genetic association, Minor allele frequency and Transposable element. His research investigates the connection with Genetic variation and areas like Genetic diversity which intersect with concerns in Metabolome.
His main research concerns Gene, Computational biology, Genome, Genetics and Evolutionary biology. Edward S. Buckler has included themes like SNP, Phenotype, Genotyping, Breeding program and Haplotype in his Genome study. His study in Quantitative trait locus, Genetic variation, Euchromatin, Enhancer and Epigenomics falls under the purview of Genetics.
His Quantitative trait locus research is multidisciplinary, incorporating elements of Single-nucleotide polymorphism, Melon and Deep sequencing. His work is dedicated to discovering how Genetic variation, Genetic diversity are connected with Metabolome and Inbred strain and other disciplines. The study incorporates disciplines such as Germplasm, Nested association mapping, Genomics, Genetic association and Genetic architecture in addition to Evolutionary biology.
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A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species
Robert J. Elshire;Jeffrey C. Glaubitz;Qi-ying Sun;Jesse A. Poland.
PLOS ONE (2011)
TASSEL: software for association mapping of complex traits in diverse samples
Peter J. Bradbury;Zhiwu Zhang;Dallas E. Kroon;Terry M. Casstevens.
A unified mixed-model method for association mapping that accounts for multiple levels of relatedness
Jianming Yu;Gael Pressoir;William H Briggs;Irie Vroh Bi.
Nature Genetics (2006)
Genome-wide association studies of 14 agronomic traits in rice landraces
Xuehui Huang;Xinghua Wei;Tao Sang;Qiang Zhao;Qiang Zhao.
Nature Genetics (2010)
Structure of linkage disequilibrium in plants.
Sherry A. Flint-Garcia;Jeffry M. Thornsberry;Edward S. Buckler.
Annual Review of Plant Biology (2003)
Mixed linear model approach adapted for genome-wide association studies
Zhiwu Zhang;Elhan Ersoz;Chao-Qiang Lai;Rory J Todhunter.
Nature Genetics (2010)
A single domestication for maize shown by multilocus microsatellite genotyping
Yoshihiro Matsuoka;Yves Vigouroux;Major M. Goodman;G Jesus Sanchez.
Proceedings of the National Academy of Sciences of the United States of America (2002)
Dwarf8 polymorphisms associate with variation in flowering time.
Jeffry M. Thornsberry;Major M. Goodman;John Doebley;Stephen Kresovich.
Nature Genetics (2001)
The Genetic Architecture of Maize Flowering Time
Edward S. Buckler;Edward S. Buckler;James B. Holland;James B. Holland;Peter J. Bradbury;Peter J. Bradbury;Charlotte B. Acharya.
Status and Prospects of Association Mapping in Plants
Chengsong Zhu;Michael Gore;Edward S. Buckler;Jianming Yu.
The Plant Genome (2008)
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