| Genomic regions underlying agronomic traits in linseed （Linum usitatissimum L.） as revealed by association mapping |
| |
| 作者姓名： | Braulio J. Soto-Cerda Scott Duguid Helen Booker Gordon Rowland Axel Diederichsen Sylvie Cloutier |
| |
| 作者单位： | [1]Department of Plant Science, University of Manitoba, 66 Dafoe Road, Winnipeg, Manitoba R3T 2N2, Canada [2]Cereal Research Center, Agricultureand Agri-Food Canada, 195 Dafoe Road, Winnipeg, Manitoba R3T 2M9, Canada [3]Morden Research Station, Agriculture and Agri-Food Canada, lOlRoute loo, Unit loo Morden, Manitoba R6M WS, Canada [4]Department of Plant Sciences, College of Agriculture and Bioresources, University ofSaskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan S7N 5A8, Canada [5]Plant Gene Resources of Canada, Agriculture and Agri-Food Canada,lO7 Science Place, Saskatoon, Saskatchewan S7N 0X2, Canada |
| |
| 基金项目： | conducted as part of the Total Utilization Flax Genomics (TUFGEN) project funded by Genome Canada;co-funded by the Government of Manitoba,the Flax Council of Canada,the Saskatchewan Flax Development Commission,Agricultural Development Fund and the Manitoba Flax Growers Association;Project management and support by Genome Prairie are also gratefully acknowledged |
| |
| 摘 要： | The extreme climate of the Canadian Prairies poses a major chal enge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture. The Canadian flax core col ection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bol s per area, 1,000 seed weight, seeds per bol , start of flowering, end of flowering, plant height, plant branching, and lodging col ected from up to eight environments was used for association mapping. Based on a mixed model （principal component analysis （PCA） t kinship matrix （K））, 12 significant marker-trait associations for six agronomic traits were identi-fied. Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable al eles have additive effects. None of the modern cultivars carried the five favorable al eles and the maximum number of four observed in any accessions was mostly in＆amp;nbsp;breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while il ustrating the potential for improvement through marker-assisted selection.
|
| 关 键 词： | 农艺性状 亚麻籽 关联 分子标记辅助选择 映射 产量相关性状 基因组 简单重复序列 |
Genomic regions underlying agronomic traits in linseed(Linum usitatissimum L.) as revealed by association mapping |
| |
| Authors: | Braulio JSoto-Cerda Scott Duguid Helen Booker Gordon Rowland Axel Diederichsen Sylvie Cloutier |
| |
| Abstract: | The extremeclimate of the Canadian Prairies poses a major challenge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture.The Canadian flax core collection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bolls per area, 1,000 seed weight, seeds per boll, start of flowering,end of flowering, plant height, plant branching, and lodging collected from up to eight environments was used for association mapping. Based on a mixed model (principal component analysis (PCA)tkinship matrix (K)), 12 significant marker-trait associations for six agronomic traits were identified.Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable alleles have additive effects. None of the modern cultivars carried the five favorable alleles and the maximum number of four observed in any accessions was mostly in breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while illustrating the potential for improvement through marker-assisted selection. |
| |
| Keywords: | Linum usitatissimum marker-assisted selection quantitative trait loci mapping yield-related traits Favorable alleles |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
