Sunflower nested core collections for association studies and phenomics
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911481053839360 |
|---|---|
| author | Coque, Marie Mesnildrey, Sébastien Romestant, Michel Grezes-Besset, Bruno Vear, Félicity Langlade, Nicolas B Vincourt, Patrick |
| author_facet | Coque, Marie Mesnildrey, Sébastien Romestant, Michel Grezes-Besset, Bruno Vear, Félicity Langlade, Nicolas B Vincourt, Patrick |
| contents | In order to develop association studies and to improve the phenotypic description for abiotic and biotic stress related traits, nested core collections of 48, 96, 144 and 384 sunflower lines were built from a set of 752 diverse, public or private accessions. These 752 lines were been genotyped with 51 SSR markers covering the genetic map (3 markers/linkage group). We then used MSTRAT software (Gouesnard et al., 2000) to construct 4 nested core collections as follows: we built a first core with 48 public lines and a kernel of 12 selected entries, accounting for 47% of the total diversity. This short core collection was then used as a kernel to define a second core with 96 public entries, accounting for 59% of the total diversity. Finally the private entries were added to build a core collection of 144 and 384 entries, accounting for 78% and 100% of the total diversity, respectively. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_02290 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Sunflower nested core collections for association studies and phenomics Coque, Marie Mesnildrey, Sébastien Romestant, Michel Grezes-Besset, Bruno Vear, Félicity Langlade, Nicolas B Vincourt, Patrick Other Quantitative Biology In order to develop association studies and to improve the phenotypic description for abiotic and biotic stress related traits, nested core collections of 48, 96, 144 and 384 sunflower lines were built from a set of 752 diverse, public or private accessions. These 752 lines were been genotyped with 51 SSR markers covering the genetic map (3 markers/linkage group). We then used MSTRAT software (Gouesnard et al., 2000) to construct 4 nested core collections as follows: we built a first core with 48 public lines and a kernel of 12 selected entries, accounting for 47% of the total diversity. This short core collection was then used as a kernel to define a second core with 96 public entries, accounting for 59% of the total diversity. Finally the private entries were added to build a core collection of 144 and 384 entries, accounting for 78% and 100% of the total diversity, respectively. |
| title | Sunflower nested core collections for association studies and phenomics |
| topic | Other Quantitative Biology |
| url | https://arxiv.org/abs/2603.02290 |