You searched for:
Author
"Timothy M. Beissinger"
Remove constraint Author: "Timothy M. Beissinger"
PubAg
Main content area
Limit your search
Search
8 Search Results
1 - 8 of 8
Search Results
- Author:
- Timothy M. Beissinger, et al. ; Abiskar Gyawali; Vivek Shrestha; Katherine E. Guill; Sherry Flint-Garcia; Show all 5 Authors
- Source:
- BMC plant biology 2019 v.19 no.1 pp. 412
- ISSN:
- 1471-2229
- Subject:
- Zea mays; corn; crops; farms; genes; genome-wide association study; genomics; genotype; genotyping; inbred lines; inbreeding; landraces; phenotype; plant height; pollination; quantitative trait loci; single nucleotide polymorphism; Missouri
- Abstract:
- ... BACKGROUND: Genome wide association studies (GWAS) are a powerful tool for identifying quantitative trait loci (QTL) and causal single nucleotide polymorphisms (SNPs)/genes associated with various important traits in crop species. Typically, GWAS in crops are performed using a panel of inbred lines, where multiple replicates of the same inbred are measured and the average phenotype is taken as the ...
- DOI:
- 10.1186/s12870-019-2000-y
- PubMed:
- 31590656
- PubMed Central:
- PMC6781408
- https://doi.org/10.1186/s12870-019-2000-y
- Author:
- Timothy M. Beissinger, et al. ; Gota Morota; Show all 2 Author
- Source:
- Plant methods 2017 v.13 no.1 pp. 8
- ISSN:
- 1746-4811
- Subject:
- National Library of Medicine; Zea mays; corn; data collection; evolution; gene ontology; genes; phenotype; sequence analysis; statistical analysis
- Abstract:
- ... BACKGROUND: High-density marker panels and/or whole-genome sequencing, coupled with advanced phenotyping pipelines and sophisticated statistical methods, have dramatically increased our ability to generate lists of candidate genes or regions that are putatively associated with phenotypes or processes of interest. However, the speed with which we can validate genes, or even make reasonable biologic ...
- Handle:
- 10113/5723915
- DOI:
- 10.1186/s13007-017-0159-5
- PubMed:
- 28250803
- PubMed Central:
- PMC5324291
- CHORUS:
- 10.1186/s13007-017-0159-5
- https://doi.org/10.1186/s13007-017-0159-5
- Author:
- Timothy M Beissinger, et al. ; Sarah D Turner-Hissong; Makenzie E Mabry; Jeffrey Ross-Ibarra; J Chris Pires; Show all 5 Authors
- Source:
- Current opinion in plant biology 2020 v.54 pp. 93-100
- ISSN:
- 1369-5266
- Subject:
- breeding methods; crops; domestication; evolution; gene editing; genomics; life history; plant breeding; population genetics
- Abstract:
- ... Crop domestication is a fascinating area of study, as shown by a multitude of recent reviews. Coupled with the increasing availability of genomic and phenomic resources in numerous crop species, insights from evolutionary biology will enable a deeper understanding of the genetic architecture and short-term evolution of complex traits, which can be used to inform selection strategies. Future advanc ...
- DOI:
- 10.1016/j.pbi.2020.03.003
- https://doi.org/10.1016/j.pbi.2020.03.003
- Author:
- Timothy M. Beissinger, et al. ; Li Wang; Anne Lorant; Claudia Ross-Ibarra; Jeffrey Ross-Ibarra; Matthew B. Hufford; Show all 6 Authors
- Source:
- Genome biology 2017 v.18 no.1 pp. 215
- ISSN:
- 1474-760X
- Subject:
- Zea mays; alleles; corn; demography; domestication; effective population size; founder effect; gene flow; highlands; introgression; landraces; population growth; river valleys; wild relatives; Andes region; Guatemala; Mexico; Southwestern United States
- Abstract:
- ... BACKGROUND: The history of maize has been characterized by major demographic events, including population size changes associated with domestication and range expansion, and gene flow with wild relatives. The interplay between demographic history and selection has shaped diversity across maize populations and genomes. RESULTS: We investigate these processes using high-depth resequencing data from ...
- Handle:
- 10113/5860232
- DOI:
- 10.1186/s13059-017-1346-4
- PubMed:
- 29132403
- PubMed Central:
- PMC5683586
- CHORUS:
- 10.1186/s13059-017-1346-4
- https://doi.org/10.1186/s13059-017-1346-4
- Author:
- Timothy M Beissinger, et al. ; Guilherme JM Rosa; Shawn M Kaeppler; Daniel Gianola; Natalia de Leon; Show all 5 Authors
- Source:
- Genetics, selection, evolution 2015 v.47 no.1 pp. 105
- ISSN:
- 0999-193X
- Subject:
- corn; gene frequency; genome; linkage disequilibrium; statistics
- Abstract:
- ... BACKGROUND: High-density genomic data is often analyzed by combining information over windows of adjacent markers. Interpretation of data grouped in windows versus at individual locations may increase statistical power, simplify computation, reduce sampling noise, and reduce the total number of tests performed. However, use of adjacent marker information can result in over- or under-smoothing, und ...
- DOI:
- 10.1186/s12711-015-0105-9
- PubMed:
- 25928167
- PubMed Central:
- PMC4404117
- https://doi.org/10.1186/s12711-015-0105-9
- Author:
- Timothy M. Beissinger, et al. ; Li Wang; Kate Crosby; Arun Durvasula; Matthew B. Hufford; Jeffrey Ross-Ibarra; Show all 6 Authors
- Source:
- Nature plants 2016 v.2 no.16084 pp. 1-7
- ISSN:
- 2055-0278
- Subject:
- Zea; alleles; amino acid substitution; corn; demographic statistics; domestication; genetic drift; genetic variation; humans; population size; sequence analysis
- Abstract:
- ... Genetic diversity is shaped by the interaction of drift and selection, but the details of this interaction are not well understood. The impact of genetic drift in a population is largely determined by its demographic history, typically summarized by its long-term effective population size (N(e)). Rapidly changing population demographics complicate this relationship, however. To better understand h ...
- Handle:
- 10113/62707
- DOI:
- 10.1038/NPLANTS.2016.84
- https://doi.org/10.1038/NPLANTS.2016.84
- Author:
- Timothy M Beissinger, et al. ; Xiao-Lin Wu; Chuanyu Sun; Guilherme JM Rosa; Kent A Weigel; Natalia de Leon Gatti; Daniel Gianola; Show all 7 Authors
- Source:
- Genetics, selection, evolution 2012 v.44 no.1 pp. 2545
- ISSN:
- 0999-193X
- Subject:
- algorithms; animal breeding; beef cattle; data collection; genetic merit; genotype; marker-assisted selection; models; single nucleotide polymorphism
- Abstract:
- ... BACKGROUND: Most Bayesian models for the analysis of complex traits are not analytically tractable and inferences are based on computationally intensive techniques. This is true of Bayesian models for genome-enabled selection, which uses whole-genome molecular data to predict the genetic merit of candidate animals for breeding purposes. In this regard, parallel computing can overcome the bottlenec ...
- DOI:
- 10.1186/1297-9686-44-29
- PubMed:
- 23009363
- PubMed Central:
- PMC3517397
- https://doi.org/10.1186/1297-9686-44-29
- Author:
- Timothy M. Beissinger, et al. ; Candice N. Hirsch; Sherry A. Flint-Garcia; Steven R. Eichten; Shweta Deshpande; Kerrie Barry; Michael D. McMullen; James B. Holland; Edward S. Buckler; Nathan Springer; C. Robin Buell; Natalia de Leon; Shawn M. Kaeppler; Show all 13 Authors
- Source:
- Genetics 2014 v.198 no.1 pp. 409-421
- Subject:
- Zea mays; alleles; artificial selection; comparative genomic hybridization; corn; feeds; gene frequency; genetic variation; genomics; grain crops; grain yield; long term effects; nucleotide sequences; phenotypic variation; population size; seed development; single nucleotide polymorphism
- Abstract:
- ... Grain produced from cereal crops is a major source of human and animal feed worldwide. To understand the genetic basis of seed size variation, a component trait of grain yield, we conducted a genome-wide scan to detect evidence of selection in the Krug Yellow Dent long-term selection experiment for small and large seed size. The empirically estimated effective population size of the selected popul ...
- Handle:
- 10113/59622
- DOI:
- 10.1534/genetics.114.167155/-/DC1
- https://doi.org/10.1534/genetics.114.167155/-/DC1