Author

Michael D. McMullen

Agricultural Research Service

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Organism:zebrafish· 4 Research Focus:genome assembly· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Edward S. BuckleriD· 3 shared Elhan S. ErsoziD· 2 shared James Brendan HollandiD· 2 shared Jeffrey Ross‐IbarraiD· 2 shared Jode W. EdwardsiD· 2 shared Katherine E. Guill· 2 shared M. Cinta RomayiD· 2 shared Mitchell R. TuinstraiD· 2 shared

Activity by Year

2017-2019 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenetics

Edward S. BucklerORCID

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Author profile →

4 papers

Recent·Most cited

The relevance of dominance and functional annotations to predict agronomic traits in hybrid maize

Guillaume P. Ramstein, Sara J. Larsson, Jason P. Cook, Jode W. Edwards, Elhan S. Ersoz, Sherry A. Flint-Garcia, Candice A. C. Gardner, James Brendan Holland, Aaron Joel Lorenz, Michael D. McMullen, Mark J. Millard, Torbert Rocheford, Mitchell R. Tuinstra, Peter J. Bradbury, Edward S. Buckler, M. Cinta Romay

This study shows dominance and gene annotations improve genomic prediction of agronomic traits in maize hybrids.

bioRxiv · Aug 24, 2019 · PreprintGenomics

Incomplete dominance of deleterious alleles contributes substantially to trait variation and heterosis in maize

Jinliang Yang, Sofiane Mezmouk, Andy Baumgarten, Edward S. Buckler, Katherine E. Guill, Michael D. McMullen, Rita Hogan Mumm, Jeffrey Ross‐Ibarra

The paper investigates the role of deleterious alleles in trait variation and heterosis in maize by integrating sequence conservation and genomic prediction models.

PLoS Genetics · Sep 27, 2017Peer-reviewedGenetics

Genetic Analysis of Lodging in Diverse Maize Hybrids

Sara J. Larsson, Jason A. Peiffer, Jode W. Edwards, Elhan S. Ersoz, Sherry A. Flint-Garcia, James Brendan Holland, Michael D. McMullen, Mitchell R. Tuinstra, M. Cinta Romay, Edward S. Buckler

This study identifies quantitative trait loci (QTL) for lodging in maize by evaluating diverse inbred lines across multiple environments, finding overlaps with genes involved in lignin and cellulose synthesis.

bioRxiv · Sep 7, 2017 · PreprintGenetics

Improved maize reference genome with single molecule technologies

Yinping Jiao, Paul S. Peluso, Jinghua Shi, Tiffany Y Liang, Michelle C. Stitzer, Bo Wang, Michael S. Campbell, Joshua C. Stein, Xuehong Wei, Chen-Shan Chin, Katherine E. Guill, Michael Regulski, Sunita Kumari, Andrew J. Olson, Jonathan Isaiah Gent, , Doreen Ware

The paper improves the maize reference genome using single molecule technologies, resulting in longer contigs and better annotation of repetitive elements and genes.

Nature · Jun 1, 2017Peer-reviewedGenomics