Delourme, R., Falentin, C., Huteau, V., Clouet, V., Horvais, R., Gandon, B., Specel, S., Hanneton, L., Dheu, J.E, Deschamps, M., Margale, E., Vincourt, P. and Renard, M. (2006) Genetic control of oil content in oilseed rape (Brassica napus L.). Theoretical and Applied Genetics, 113, 1331-1345. doi:10.1007/s00122-006-0386-z

has been cited by the following article:

• TITLE: Assessment of a new strategy for selective phenotyping applied to complex traits in Brassica napus

  AUTHORS: Christophe Jestin, Patrick Vallée, Claude Domin, Maria J. Manzanares-Dauleux, Régine Delourme

  KEYWORDS: Selective Phenotyping; QTL; Brassica Napus; Leptosphaeria maculans

  JOURNAL NAME: Open Journal of Genetics, Vol.2 No.4, December 31, 2012

  ABSTRACT: The accurate mapping of quantitative trait loci (QTL) depends notably on the number of recombination events occurring in the segregating population. The cost of phenotyping often limits the sample size used in QTL mapping. To get round this problem, we assessed a selective phenotyping method, called qtlRec sampling. In order to improve the accuracy of QTL mapping, a subset of individuals was selected to maximize the number of recombination events at putative QTL positions; the usefulness of this subset was compared to a selected sample built to maximize the recombination rate over the whole genome. We assessed this method on the quantitative oil content trait in Brassica napus. We showed that the qtlRec strategy could allow increasing accuracy (both support interval and position) of QTL location while it maintained a similar power of detection. We then applied this approach to the B. napus—Leptosphaeria maculans pathosystem for which resistance QTL with minor effect were previously identified. This allowed the validation of the QTL in six genomic regions. The qtlRec method is an attractive strategy for validating QTL in multiple year and/or location trials for a trait which requires costly and time-consuming phenotyping.