Predicting invasion risk of grasses in novel environments requires improved genomic understanding of adaptive potential
Am J Bot
.
2022 Dec;109(12):1965-1968.
doi: 10.1002/ajb2.16079.
Epub 2022 Nov 28.
Authors
Emily S Bellis
1
2
,
Rima D Lucardi
3
,
Kristin Saltonstall
4
,
Travis D Marsico
5
Affiliations
1
Department of Computer Science, Arkansas State University, State University, AR, USA.
2
Center for No-Boundary Thinking, Arkansas State University, State University, AR, USA.
3
Southern Research Station, United States Department of Agriculture Forest Service, Athens, GA, USA.
4
Smithsonian Tropical Research Institute, Balboa, Ancon, Panamá.
5
Department of Biological Sciences, Arkansas State University, State University, AR, USA.
PMID:
36200340
PMCID:
PMC10100010
DOI:
10.1002/ajb2.16079
No abstract available
Publication types
Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
Ecosystem*
Genomics
Poaceae* / genetics