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Web URL(s): | http://www.grasslandoregon.com/assets/molecular-breeding-of-forage-and-turf.pdf#page=69 Last checked: 09/02/2016 Requires: PDF Reader Notes: Item is within a single large file |
Publication Type:
| Report |
Author(s): | Skot, Leif |
Author Affiliation: | Aberystwyth University, Ceredigion, United Kingdom |
Title: | Towards genomic selection in perennial ryegrass |
Section: | Other invited oral presentation abstracts Other records with the "Other invited oral presentation abstracts" Section
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Meeting Info.: | Salt Lake City, Utah: June 4-7, 2012 |
Source: | Proceedings of the 7th International Symposium on the Molecular Breeding of Forage and Turf. 2012, p. 69. |
Publishing Information: | s.l.: s.n. |
# of Pages: | 1 |
Keywords: | TIC Keywords: Breeding efficiency; Breeding improvement; Gene mapping; Genetic markers; Genomic selection; Lolium perenne
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Abstract/Contents: | "Genomic selection (GS) attempts to make use of the availability of increasing amounts of genotypic information by enabling the prediction of breeding values for quantitative traits based on determining the effect of a large number of markers simultaneously. The aim is to enhance the efficiency of breeding programmes by increasing the speed of a breeding cycle, reducing the cost of phenotyping, and accelerating selection of candidates for production of synthetics. The perennial ryegrass breeding programme at IBERS differs from many others by its longevity and small size of its base population. In theory, this decreases the number of markers needed to achieve a certain level of prediction accuracy. I will discuss the opportunities for incorporating GS into this breeding programme, and describe preliminary information on linkage disequilibrium, and some cross-validation accuracies based on 3000 DArT markers, and highlight some of the challenges associated with GS. Ten-fold cross-validations within each of two breeding populations were surprisingly variable among sets, but also varied between traits. Variation spanned between 0 and 0.6, with the majority between 0.3 and 0.4. More consistent prediction accuracies were achieved with a larger training population of 288 genotypes derived from three varieties. The phenotypic data in this case was based on spaced plants, while the predictions in the breeding populations were projected from plot data of half-sib progeny." |
Language: | English |
References: | 0 |
Note: | This item is an abstract only! "ISBN: 978-1-4675-4762-8" "MBFT2012" |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Skot, L. 2012. Towards genomic selection in perennial ryegrass. Proceedings of the 7th International Symposium on the Molecular Breeding of Forage and Turf. p. 69. |
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