Quantitative genetic analysis of grain yield in an Australian Brassica napus doubled-haploid population
Rosy Raman A , Simon Diffey B , Jason Carling C , Ray B. Cowley A D , Andrzej Kilian C , David J. Luckett A and Harsh Raman A E
+ Author Affiliations
- Author Affiliations
A Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia.
B Centre for Crop and Disease Management, Department of Environment and Agriculture, Curtin University, Bentley, WA 6102, Australia.
C Diversity Arrays Technology P/L, University of Canberra, Canberra, ACT 2601, Australia.
D DuPont Pioneer, PO Box 52, Wagga Wagga, NSW 2650, Australia.
E Corresponding author. Email: harsh.raman@dpi.nsw.gov.au
Crop and Pasture Science 67(4) 298-307 https://doi.org/10.1071/CP15283
Submitted: 30 August 2015 Accepted: 1 February 2016 Published: 21 April 2016
Abstract
High yield is a major objective in canola-breeding programs. We analysed the genetic determinants controlling variation in grain yield in a doubled-haploid (DH) breeding population derived from a single BC1F1 plant from the cross Skipton/Ag-Spectrum//Skipton (designated as the SAgS population). DH lines were evaluated for flowering time and yield in two replicated trials and exhibited significant genetic variation for both traits. Yield showed negative correlation with flowering time; lines that flowered earlier had higher yield than late-flowering lines. A genetic linkage map comprising 7716 DArTseq markers was constructed for the SAgS population, and a ‘bin’ map based on 508 discrete single-position (non-co-segregating) marker loci was used for quantitative trait locus (QTL) analysis. We identified 20 QTLs (LOD ≥2) associated with variation in flowering time and grain yield. Two QTLs (Qy.wwai-A7/Qdtf.wwai-A7/Qfs.wwai-A7 and Qy.wwai-C3a/Qfs.wwai-C3a) appeared repeatedly across experiments, accounting for 4.9–19% of the genotypic variation in flowering time and yield and were located on chromosomes A07 and C03. We identified 22 putative candidate genes for flowering time as well as grain yield, and all were located in a range of 935 bp to 2.97 Mb from markers underlying QTLs. This research provides useful information to be used for breeding high-yielding canola varieties by combining favourable alleles for early flowering and higher grain yield at loci on chromosomes A07, C03 and possibly on A06.
Additional keywords: candidate genes, canola QTL, flowering time, grain yield, rapeseed.
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