J
Jeffrey C. Glaubitz
Researcher at Cornell University
Publications - 36
Citations - 14186
Jeffrey C. Glaubitz is an academic researcher from Cornell University. The author has contributed to research in topics: Population & Nested association mapping. The author has an hindex of 23, co-authored 35 publications receiving 12288 citations. Previous affiliations of Jeffrey C. Glaubitz include University of Wisconsin-Madison & Cold Spring Harbor Laboratory.
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Journal ArticleDOI
A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species
Robert J. Elshire,Jeffrey C. Glaubitz,Qi-ying Sun,Jesse Poland,Ken Kawamoto,Edward S. Buckler,Edward S. Buckler,Sharon E. Mitchell +7 more
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.
Journal ArticleDOI
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,Patrick J. Brown,C. A. Browne,C. A. Browne,Elhan S. Ersoz,Sherry Flint-Garcia,Sherry Flint-Garcia,Arturo Garcia,Arturo Garcia,Jeffrey C. Glaubitz,Major M. Goodman,Carlos Harjes,Kate E. Guill,Kate E. Guill,Dallas E. Kroon,Sara Larsson,Nicholas Lepak,Nicholas Lepak,Huihui Li,Huihui Li,Sharon E. Mitchell,Gaël Pressoir,Jason A. Peiffer,Marco Oropeza Rosas,Torbert Rocheford,Torbert Rocheford,M. Cinta Romay,M. Cinta Romay,Susan Romero,Stella Salvo,Stella Salvo,Hector Sanchez Villeda,Hector Sanchez Villeda,H. Sofia da Silva,Qi Sun,Feng Tian,N. Upadyayula,Doreen Ware,Doreen Ware,Heather Yates,Jianming Yu,Zhiwu Zhang,Stephen Kresovich,Michael D. McMullen,Michael D. McMullen +50 more
TL;DR: A simple additive model accurately predicts flowering time for maize, in contrast to the genetic architecture observed in the selfing plant species rice and Arabidopsis.
Journal ArticleDOI
TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline
Jeffrey C. Glaubitz,Terry M. Casstevens,Fei Lu,James Harriman,Robert J. Elshire,Qi-Bin Sun,Edward S. Buckler +6 more
TL;DR: The tassel-gbs pipeline, designed for the efficient processing of raw GBS sequence data into SNP genotypes, is described and benchmark it based upon a large scale, species wide analysis in maize, where the average error rate was reduced to 0.0042.
Journal ArticleDOI
Genetic properties of the maize nested association mapping population.
Michael D. McMullen,Michael D. McMullen,Stephen Kresovich,Hector Sanchez Villeda,Peter J. Bradbury,Peter J. Bradbury,Huihui Li,Huihui Li,Qi Sun,Sherry Flint-Garcia,Sherry Flint-Garcia,Jeffry M. Thornsberry,Charlotte B. Acharya,Christopher A. Bottoms,Patrick J. Brown,C. A. Browne,Magen S. Eller,Kate E. Guill,Carlos Harjes,Dallas E. Kroon,Nick Lepak,Sharon E. Mitchell,Brooke Peterson,Gaël Pressoir,Susan Romero,Marco Oropeza Rosas,Stella Salvo,Heather Yates,Mark Hanson,Elizabeth S. Jones,Stephen Smith,Jeffrey C. Glaubitz,Major M. Goodman,Doreen Ware,Doreen Ware,James B. Holland,James B. Holland,Edward S. Buckler,Edward S. Buckler +38 more
TL;DR: Maize genetic diversity has been used to understand the molecular basis of phenotypic variation and to improve agricultural efficiency and sustainability and it is suggested that selection in inbred lines has been less efficient in these regions because of reduced recombination frequency.
Journal ArticleDOI
Comparative population genomics of maize domestication and improvement
Matthew B. Hufford,Xun Xu,Joost van Heerwaarden,Tanja Pyhäjärvi,Jer Ming Chia,Reed A. Cartwright,Robert J. Elshire,Jeffrey C. Glaubitz,Kate E. Guill,Kate E. Guill,Shawn M. Kaeppler,Jinsheng Lai,Peter L. Morrell,Laura M. Shannon,Chi Song,Nathan M. Springer,Ruth A. Swanson-Wagner,Peter Tiffin,Jun Wang,Gengyun Zhang,John Doebley,Michael D. McMullen,Michael D. McMullen,Doreen Ware,Doreen Ware,Edward S. Buckler,Edward S. Buckler,Shuang Yang,Jeffrey Ross-Ibarra +28 more
TL;DR: A comprehensive assessment of the evolution of modern maize based on the genome-wide resequencing of 75 wild, landrace and improved maize lines finds evidence of recovery of diversity after domestication, likely introgression from wild relatives, and evidence for stronger selection during domestication than improvement.