منابع مشابه
Genomic selection.
Genomic selection is a form of marker-assisted selection in which genetic markers covering the whole genome are used so that all quantitative trait loci (QTL) are in linkage disequilibrium with at least one marker. This approach has become feasible thanks to the large number of single nucleotide polymorphisms (SNP) discovered by genome sequencing and new methods to efficiently genotype large nu...
متن کاملGENOMIC SELECTION Genomic Selection in Multi-environment Crop Trials
Genomic selection in crop breeding introduces modeling challenges not found in animal studies. These include the need to accommodate replicate plants for each line, consider spatial variation in field trials, address line by environment interactions, and capture nonadditive effects. Here, we propose a flexible single-stage genomic selection approach that resolves these issues. Our linear mixed ...
متن کاملGplusE: beyond genomic selection
GplusE is a strategy for genomic selection in which the accuracy of assessment in the reference population for a primary trait such as yield is increased by the incorporation of data from high- throughput field phenotyping platforms. This increase in precision comes from both exploiting genetic relationships between traits and reducing the effect of environmental influences upon them. We descri...
متن کاملPre-selection of markers for genomic selection
BACKGROUND Accurate prediction of genomic breeding values (GEBVs) requires numerous markers. However, predictive accuracy can be enhanced by excluding markers with no effects or with inconsistent effects among crosses that can adversely affect the prediction of GEBVs. METHODS We present three different approaches for pre-selecting markers prior to predicting GEBVs using four different BLUP me...
متن کاملImproved Lasso for genomic selection.
Empirical experience with genomic selection in dairy cattle suggests that the distribution of the effects of single nucleotide polymorphisms (SNPs) might be far from normality for some traits. An alternative, avoiding the use of arbitrary prior information, is the Bayesian Lasso (BL). Regular BL uses a common variance parameter for residual and SNP effects (BL1Var). We propose here a BL with di...
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ژورنال
عنوان ژورنال: Journal of Animal Breeding and Genetics
سال: 2007
ISSN: 0931-2668,1439-0388
DOI: 10.1111/j.1439-0388.2007.00702.x