Abstract
Identifying parental combinations that exhibit high heterosis is a constant target for commercial Brassica napus L. hybrid development programs. Finding high heterotic parental combinations can require hundreds of test crosses and years of yield evaluation. Heterotic pool development could be used to divide breeding material into specific breeding pools and focus the number of parental combinations created. Here, we report the genotypic characterization of 79 B. napus genotypes by calculating genetic distance based on sequence-related amplified polymorphism (SRAP) and genotyping by sequencing (GBS) in association with a neighbour-joining clustering algorithm. Despite the different genotypic analyses, neighbour-joining cluster analysis based on genetic distance of SRAP and GBS produced similar clusters. Homology between SRAP and GBS clusters was approximately 77 % when manually comparing clusters and 68 % when comparing clusters using Compare2Trees. This research demonstrates that SRAP can have similar efficacy when compared to next-generation sequencing technology for heterotic pool classification. This information may provide an important breeding scaffold for the development of hybrid cultivars based upon genetic distance and cluster analysis.Electronic supplementary materialThe online version of this article (doi:10.1007/s11032-016-0576-6) contains supplementary material, which is available to authorized users.
Highlights
Brassica napus L. (AACC n = 19) has been heralded as one of the most important global oilseed crops, second only to soybean (Glycine max L.) for total annual production (Carré and Pouzet 2014; Wittkop et al 2009; Lin et al 2013)
The objective of this study was to calculate genetic distance between 79 B. napus genotypes using Nei’s standard genetic distance based on sequence-related amplified polymorphism (SRAP) presence/ absence genotyping and the Tamuri–Nei genetic distance formula based on SNPs discovered through genotyping by sequencing (GBS)
Seventy-nine B. napus genotypes were selected for this study (Table 1)
Summary
(AACC n = 19) has been heralded as one of the most important global oilseed crops, second only to soybean (Glycine max L.) for total annual production (Carré and Pouzet 2014; Wittkop et al 2009; Lin et al 2013). This large-scale production is attributed to the improvement of canola quality (
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