Detection of donor effects in a rye introgression population with genome‐wide prediction |
| |
| Authors: | Gregory S Mahone Matthias Frisch Eva Bauer Grit Haseneyer Thomas Miedaner Karen Christin Falke |
| |
| Institution: | 1. Institute of Agronomy and Plant Breeding II, Justus‐Liebig‐Universit?t, Giessen, Germany;2. Plant Breeding, Technische Universit?t München, Freising, Germany;3. State Plant Breeding Institute, Universit?t Hohenheim, Stuttgart, Germany;4. Institute for Evolution and Biodiversity, Westf?lische Wilhelms‐Universit?t Münster, Münster, Germany |
| |
| Abstract: | Introgression populations are developed to make genetic resources for breeding purposes available. In the case that the number of donor segments exceeds the number of lines, genome‐wide prediction (GWP) methods are suggested as promising for the analysis of such populations. Our objectives were to characterize a rye introgression population with the Rye5K SNP assay and to apply a GWP model with a modification of the restricted maximum likelihood procedure that yields heteroscedastic variances to detect significant donor effects. The introgression lines (ILs) carried on average 4.6 donor segments with a mean length of 27 cM and represented 94% of the donor genome. Two donor effects were detected that significantly increased thousand‐kernel weight. We found four donor effects for protein, total pentosan and starch content that can improve baking quality. Three donor effects for protein content were observed for improving feeding purposes and one donor effect for starch content to improve ethanol production. The effects were localized to small genomic regions. Consequently, these ILs can improve rye breeding by directly employing them in breeding programmes for variety development. |
| |
| Keywords: | Secale cereale L introgression population introgression line Rye5K SNP array genome‐wide prediction heteroscedastic marker variances
RMLV
|
|
|
