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Timothy M. Beissinger, Ph.D. - Publications

Affiliations: 
2009-2014 Plant Breeding and Plant Genetics University of Wisconsin, Madison, Madison, WI 
Area:
Genetic, quantitative genetics, statistical genetics, population genetics, plants, maize, chickens
Website:
www.beissingerlab.org
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Mahmoud M, Tost M, Ha NT, Simianer H, Beissinger T. Ghat: An R package for identifying adaptive polygenic traits. G3 (Bethesda, Md.). PMID 36454082 DOI: 10.1093/g3journal/jkac319  0.455
2022 Kaler AS, Purcell LC, Beissinger T, Gillman JD. Genomic prediction models for traits differing in heritability for soybean, rice, and maize. Bmc Plant Biology. 22: 87. PMID 35219296 DOI: 10.1186/s12870-022-03479-y  0.343
2021 Kumar R, Gyawali A, Morrison GD, Saski CA, Robertson DJ, Cook DD, Tharayil N, Schaefer RJ, Beissinger TM, Sekhon RS. Genetic Architecture of Maize Rind Strength Revealed by the Analysis of Divergently Selected Populations. Plant & Cell Physiology. PMID 34015110 DOI: 10.1093/pcp/pcab059  0.514
2020 Turner-Hissong SD, Bird KA, Lipka AE, King EG, Beissinger TM, Angelovici R. Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry Seeds. G3 (Bethesda, Md.). PMID 32978264 DOI: 10.1534/g3.120.401240  0.329
2020 Turner-Hissong SD, Mabry ME, Beissinger TM, Ross-Ibarra J, Pires JC. Evolutionary insights into plant breeding. Current Opinion in Plant Biology. 54: 93-100. PMID 32325397 DOI: 10.1016/J.Pbi.2020.03.003  0.679
2020 Beche E, Gillman JD, Song Q, Nelson R, Beissinger T, Decker J, Shannon G, Scaboo AM. Nested association mapping of important agronomic traits in three interspecific soybean populations. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 31974666 DOI: 10.1007/S00122-019-03529-4  0.444
2019 Sekhon RS, Saski C, Kumar R, Flinn BS, Luo F, Beissinger TM, Ackerman AJ, Breitzman MW, Bridges WC, de Leon N, Kaeppler SM. Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize. The Plant Cell. 31: 1968-1989. PMID 33831200 DOI: 10.1105/tpc.18.00930  0.354
2019 Kaler AS, Gillman JD, Beissinger T, Purcell LC. Comparing Different Statistical Models and Multiple Testing Corrections for Association Mapping in Soybean and Maize. Frontiers in Plant Science. 10: 1794. PMID 32158452 DOI: 10.3389/Fpls.2019.01794  0.398
2019 Gyawali A, Shrestha V, Guill KE, Flint-Garcia S, Beissinger TM. Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. Bmc Plant Biology. 19: 412. PMID 31590656 DOI: 10.1186/S12870-019-2000-Y  0.43
2019 Sekhon RS, Saski C, Kumar R, Flinn B, Luo F, Beissinger TM, Ackerman AJ, Breitzman MW, Bridges WC, de Leon N, Kaeppler SM. Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize. The Plant Cell. PMID 31239390 DOI: 10.1105/Tpc.18.00930  0.432
2019 Petrowski PF, King EG, Beissinger TM. An R Framework for the Partitioning of Linkage Disequilibrium between and Within Populations Journal of Open Research Software. 7. DOI: 10.5334/Jors.250  0.332
2018 Beissinger T, Kruppa J, Cavero D, Ha NT, Erbe M, Simianer H. A Simple Test Identifies Selection on Complex Traits. Genetics. PMID 29545467 DOI: 10.1534/Genetics.118.300857  0.579
2017 Wang L, Beissinger TM, Lorant A, Ross-Ibarra C, Ross-Ibarra J, Hufford MB. The interplay of demography and selection during maize domestication and expansion. Genome Biology. 18: 215. PMID 29132403 DOI: 10.1186/S13059-017-1346-4  0.705
2017 Beissinger TM, Morota G. Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolution. Plant Methods. 13: 8. PMID 28250803 DOI: 10.1186/S13007-017-0159-5  0.647
2016 Beissinger TM, Wang L, Crosby K, Durvasula A, Hufford MB, Ross-Ibarra J. Recent demography drives changes in linked selection across the maize genome. Nature Plants. 2: 16084. PMID 27294617 DOI: 10.1038/Nplants.2016.84  0.712
2016 Morota G, Beissinger TM, Peñagaricano F. MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity among Functional Terms and Gene Products in Chicken. G3 (Bethesda, Md.). PMID 27261003 DOI: 10.1534/G3.116.031096  0.638
2015 Beissinger TM, Gholami M, Erbe M, Weigend S, Weigend A, de Leon N, Gianola D, Simianer H. Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens. Heredity. PMID 26350629 DOI: 10.1038/Hdy.2015.81  0.652
2015 Haase NJ, Beissinger T, Hirsch CN, Vaillancourt B, Deshpande S, Barry K, Buell CR, Kaeppler SM, de Leon N. Shared Genomic Regions Between Derivatives of a Large Segregating Population of Maize Identified Using Bulked Segregant Analysis Sequencing and Traditional Linkage Analysis. G3 (Bethesda, Md.). PMID 26038364 DOI: 10.1534/G3.115.017665  0.499
2015 Beissinger TM, Rosa GJ, Kaeppler SM, Gianola D, de Leon N. Defining window-boundaries for genomic analyses using smoothing spline techniques. Genetics, Selection, Evolution : Gse. 47: 30. PMID 25928167 DOI: 10.1186/S12711-015-0105-9  0.542
2015 Lorenz AJ, Beissinger TM, Silva RR, de Leon N. Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population. G3 (Bethesda, Md.). 5: 541-9. PMID 25645532 DOI: 10.1534/G3.114.015263  0.6
2015 Foerster JM, Beissinger T, de Leon N, Kaeppler S. Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.). Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 128: 529-38. PMID 25575839 DOI: 10.1007/S00122-014-2451-3  0.476
2014 Hirsch CN, Flint-Garcia SA, Beissinger TM, Eichten SR, Deshpande S, Barry K, McMullen MD, Holland JB, Buckler ES, Springer N, Buell CR, de Leon N, Kaeppler SM. Insights into the effects of long-term artificial selection on seed size in maize. Genetics. 198: 409-21. PMID 25037958 DOI: 10.1534/Genetics.114.167155  0.605
2014 Beissinger TM, Hirsch CN, Vaillancourt B, Deshpande S, Barry K, Buell CR, Kaeppler SM, Gianola D, de Leon N. A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number. Genetics. 196: 829-40. PMID 24381334 DOI: 10.1534/Genetics.113.160655  0.694
2013 Beissinger TM, Hirsch CN, Sekhon RS, Foerster JM, Johnson JM, Muttoni G, Vaillancourt B, Buell CR, Kaeppler SM, de Leon N. Marker density and read depth for genotyping populations using genotyping-by-sequencing. Genetics. 193: 1073-81. PMID 23410831 DOI: 10.1534/Genetics.112.147710  0.379
2012 Wu XL, Sun C, Beissinger TM, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D. Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics. Genetics, Selection, Evolution : Gse. 44: 29. PMID 23009363 DOI: 10.1186/1297-9686-44-29  0.592
2011 Wu XL, Beissinger TM, Bauck S, Woodward B, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D. A primer on high-throughput computing for genomic selection. Frontiers in Genetics. 2: 4. PMID 22303303 DOI: 10.3389/Fgene.2011.00004  0.626
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