| |
| DOI: | 10.1007/s00122-015-2556-3 |
|---|
| Web URL(s): | https://link.springer.com/article/10.1007/s00122-015-2556-3
Last checked: 10/06/2017
Access conditions: Item is within a limited-access website
https://link.springer.com/content/pdf/10.1007%2Fs00122-015-2556-3.pdf
Last checked: 10/06/2017
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
|---|
| Publication Type:
| Refereed |
|---|
| Author(s): | Blackmore, T.;
Thomas, I.;
McMahon, R.;
Powell, W.;
Hegarty, M. |
|---|
| Author Affiliation: | Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Wales, UK |
|---|
| Title: | Genetic-geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping |
|---|
| Source: | Theoretical and Applied Genetics. Vol. 128, No. 10, October 2015, p. 1917-1932. |
|---|
| Publishing Information: | Berlin, Germany: Springer |
|---|
| # of Pages: | 16 |
|---|
| Related Web URL: | https://link.springer.com/article/10.1007/s00122-015-2556-3
Last checked: 10/09/2015
Notes: Abstract only |
|---|
| Keywords: | TIC Keywords: Ecotypic variation; Genetic markers; Genetic variability; Lolium perenne; Regional variation
|
|---|
| Geographic Terms: | Europe |
|---|
| Abstract/Contents: | "Grassland ecosystems are ubiquitous across temperate and tropical regions, totalling [totaling] 37 % of the terrestrial land cover of the planet, and thus represent a global resource for understanding local adaptations to environment. However, genomic resources for grass species (outside cereals) are relatively poor. The advent of next-generation DNA sequencing and high-density SNP genotyping platforms enables the development of dense marker assays for population genetics analyses and genome-wide association studies. A high-density SNP marker resource (Illumina Infinium assay) for perennial ryegrass (Lolium perenne) was created and validated in a broad ecotype collection of 716 individuals sampled from 90 sites across Europe. Genetic diversity within and between populations was assessed. A strong correlation of geographic origin to genetic structure was found using principal component analysis, with significant correlation to longitude and latitude (P < 0.001). The potential of this array as a resource for studies of germplasm diversity and identifying traits underpinning adaptive variation is highlighted." |
|---|
| Language: | English |
|---|
| References: | 56 |
|---|
| Note: | Map
Figures
Tables
Graphs |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Blackmore, T., I. Thomas, R. McMahon, W. Powell, and M. Hegarty. 2015. Genetic-geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping. Theor. Appl. Genet. 128(10):p. 1917-1932. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=265689 |
| If there are problems with this record, send us feedback about record 265689. |
| Choices for finding the above item: |
|---|
| DOI: 10.1007/s00122-015-2556-3 |
| Web URL(s):
https://link.springer.com/article/10.1007/s00122-015-2556-3
Last checked: 10/06/2017
Access conditions: Item is within a limited-access website
https://link.springer.com/content/pdf/10.1007%2Fs00122-015-2556-3.pdf
Last checked: 10/06/2017
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
| 
MSU catalog number: b2203373 |
| Find from within TIC:
Digitally in TIC by record number. |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
