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Genetic maps were compiled from the analysis of 160–180 doubled haploid lines derived from 3 crosses: Cranbrook Halberd, CD87 Katepwa, and Sunco Tasman. The parental wheat lines covered a wide range of the germplasm used in Australian wheat breeding. The linkage maps were constructed with RFLP, AFLP, microsatellite markers, known genes, and proteins. The numbers of markers placed on each map were 902 for Cranbrook Halberd, 505 for CD87 Katepwa, and 355 for Sunco Tasman. Most of the expected linkage groups could be determined, but 10–20% of markers could not be assigned to a specific linkage group. Homologous chromosomes could be aligned between the populations described here and linkage groups reported in the literature, based around the RFLP, protein, and microsatellite markers. For most chromosomes, colinearity of markers was found for the maps reported here and those recorded on published physical maps of wheat. AFLP markers proved to be effective in filling gaps in the maps. In addition, it was found that many AFLP markers defined specific genetic loci in wheat across all 3 populations. The quality of the maps and the density of markers differs for each population. Some chromosomes, particularly D genome chromosomes, are poorly covered. There was also evidence of segregation distortion in some regions, and the distribution of recombination events was uneven, with substantial numbers of doubled haploid lines in each population displaying one or more parental chromosomes. These features will affect the reliability of the maps in localising loci controlling some traits, particularly complex quantitative traits and traits of low heritability. The parents used to develop the mapping populations were selected based on their quality characteristics and the maps provide a basis for the analysis of the genetic control of components of processing quality. However, the parents also differ in resistance to several important diseases, in a range of physiological traits, and in tolerance to some abiotic stresses.

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A consensus linkage map of the barley genome was constructed. The map is based on six doubled haploid and one F2 population. The mapping data for three of the doubled haploid populations was obtained via the GrainGenes database. To allow merger of the maps, only RFLP markers that produce a single scorable band were included. Although this reduced the available markers by about half, the resultant map contains a total of 587 markers including 87 of known function. As expected, gene order was highly conserved between maps and all but two discrepancies were found in closely linked markers and are likely to result from the small population sizes used for some maps. The consensus map allows the rapid localisation of markers between published maps and should facilitate the selection of markers for high-density mapping in defined regions.

SSR markers closely linked to 18 loci that control 16 important barley traits were assessed for their applicability in Australian barley breeding programs. A panel of 40 genotypes routinely used by the South Australian Barley Improvement Program (SABIP) was used to examine the usefulness of these SSR markers for marker assisted selection (MAS). The success of monitoring a trait locus from donor to recipient lines ranged from 10 to 98%, depending on the marker. SSRs with a high polymorphic information content (PIC) value were found to be the most useful for application in MAS. The assessment also indicated that SSRs derived from genomic sequences were more successful for MAS than those designed from expressed sequence tags. A total of 130 SSR markers were screened among 2 panels of Australian barley genotypes to determine which markers would be the most useful for discriminating Australian germplasm. PIC values generated by this screening were also compared with those generated using a panel of European barley genotypes. Using ordinary correlations (parametric), rank correlations (non-parametric), and partial correlations (multi-variate), a strong association was found between the 2 Australian panels, but no or weak correlation was observed between the 2 Australian panels and the European dataset. It can therefore be concluded that PIC values generated by SSR markers screened with European genotypes cannot be used to predict the usefulness of an SSR marker for discriminating Australian genotypes. From PIC values generated in this study, 36 SSR markers have been selected for the discrimination of Australian genotypes. These markers all show high and/or consistent PIC values among Australian and European barley genotypes.A R 0 2 1 7 8 S S R m a r k e r s f o r p l a n t b r e e d i n g i n b a r l e y A . K a r a k o u s i s e t a l .

A consensus map of barley combining simple sequence repeat (SSR), restriction fragment length polymorphism (RFLP), and amplified fragment length polymorphism (AFLP) markers has been developed by combining 5 Australian barley linkage maps, Galleon × Haruna Nijo, Chebec × Harrington, Clipper × Sahara, Alexis × Sloop, and Amaji Nijo × WI2585, using the software package JOINMAP 2.0. The new consensus map consists of 700 markers, with 136 being SSRs, and has a total genetic distance of 933 cM. The consensus map order appears to be in good agreement with the Australian barley linkage maps, with the exception of a small inversion located close to the centromere of chromosome 5H. Similarly, the SSR map orders are in good agreement with SSR markers integrated into the doubled haploid linkage map of Lina × Hordeum spontaneum, Canada Park. The new consensus map provides a framework to cross examine and align partial and complete barley linkage maps using markers common to many barley maps. This map will allow researchers to rapidly and accurately select SSR markers for chromosome regions of interest for barley genetic and plant breeding studies.