Timothy M. Beissinger, Ph.D.
Affiliations: | 2009-2014 | Plant Breeding and Plant Genetics | University of Wisconsin, Madison, Madison, WI |
Area:
Genetic, quantitative genetics, statistical genetics, population genetics, plants, maize, chickensWebsite:
www.beissingerlab.orgGoogle:
"Timothy Beissinger"Parents
Sign in to add mentor| Natalia de Leon Gatti | grad student | UW Madison (E-Tree) | ||
| Daniel Gianola | grad student | 2014 | UW Madison | |
| (Identifying Traces of Selection on Quantitative Traits in Plant and Animal Genomes.) | ||||
| Jeffrey Ross-Ibarra | post-doc | UC Davis (Evolution Tree) | ||
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Publications
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| Mahmoud M, Tost M, Ha NT, et al. (2022) Ghat: An R package for identifying adaptive polygenic traits. G3 (Bethesda, Md.) |
| Kaler AS, Purcell LC, Beissinger T, et al. (2022) Genomic prediction models for traits differing in heritability for soybean, rice, and maize. Bmc Plant Biology. 22: 87 |
| Kumar R, Gyawali A, Morrison GD, et al. (2021) Genetic Architecture of Maize Rind Strength Revealed by the Analysis of Divergently Selected Populations. Plant & Cell Physiology |
| Turner-Hissong SD, Bird KA, Lipka AE, et al. (2020) Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry Seeds. G3 (Bethesda, Md.) |
| Turner-Hissong SD, Mabry ME, Beissinger TM, et al. (2020) Evolutionary insights into plant breeding. Current Opinion in Plant Biology. 54: 93-100 |
| Beche E, Gillman JD, Song Q, et al. (2020) Nested association mapping of important agronomic traits in three interspecific soybean populations. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik |
| Sekhon RS, Saski C, Kumar R, et al. (2019) Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize. The Plant Cell. 31: 1968-1989 |
| Kaler AS, Gillman JD, Beissinger T, et al. (2019) Comparing Different Statistical Models and Multiple Testing Corrections for Association Mapping in Soybean and Maize. Frontiers in Plant Science. 10: 1794 |
| Gyawali A, Shrestha V, Guill KE, et al. (2019) Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. Bmc Plant Biology. 19: 412 |
| Sekhon RS, Saski C, Kumar R, et al. (2019) Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize. The Plant Cell |