W265
Deciphering the Genetic Control of Yield and Yield Components of Winter Oilseed Rape (Brassica napus L.) Grown Under Nitrogen Constraints with Combined Linkage and Association Analyses

Date: Saturday, January 10, 2015
Time: 11:30 AM
Room: Pacific Salon 4-5 (2nd Floor)
Anne-Sophie Bouchet , INRA IGEPP, Le Rheu, France
Anne Laperche , AGROCAMPUS OUEST, Rennes, France
Christine Bissuel , AGROCAMPUS OUEST, le Rheu, France
Nathalie Nesi , INRA IGEPP, Le Rheu, France
Nitrogen Use Efficiency (NUE) is a breeding trait of major importance for many crop species, as it may be a lever for a more environmentally and economically sustainable agriculture. This quantitative complex trait is suspected to be sensitive to ‘genotype x environment’ interactions. Therefore, combining multiple trials and populations may be a powerful approach to study it. Rapeseed is a major oil crop with a relatively low NUE making its production highly dependent on N inputs. The objectives of this work were to determine the genomic regions associated with yield in winter oilseed rape (WOSR) and to assess their stability under contrasted N conditions, in order to improve the NUE. To achieve this, a combined linkage disequilibrium-linkage analysis (LD-LA) was conducted on a diversity set of 93 accessions and two doubled-haploid populations respectively. Those populations were densely genotyped with a 60K SNP Illumina Brassica array and tested in a multi-trial design including three French locations, five growing seasons (2009 to 2013) and two N nutrition levels (N+ optimal and N- low). Yield and yield-related traits were scored and N-responsive traits were calculated as N-/N+ and DN/N+. Very few ‘genotype x N’ interactions were detected and a great stability of the QTLs was assessed between the N conditions. On the contrary, strong ‘genotype x site’ interactions were found with most of the QTLs specific to one site only. This work came up with the detection of several QTL regions of interest. A particular dense region was identified on the A5 linkage group with QTL stable across sites and N conditions. In addition, a workflow specific to B. napus was developed for in silico analysis of the genes underlying these regions and preliminary promising results will be presented.