Complementarity‐based selection strategy for genomic selection
نویسندگان
چکیده
منابع مشابه
Optimal population value selection: A population-based selection strategy for genomic selection
...................................................................................................................... v CHAPTER I GENERAL INTRODUCTION ............................................................... 1 CHAPTER II LITERATURE REVIEW ....................................................................... 4 CHAPTER III SELECTION ON OPTIMAL POPULATION VALUE INCREASES GENETIC GAIN REL...
متن کاملImproving Response in Genomic Selection with a Population-Based Selection Strategy: Optimal Population Value Selection.
Genomic selection (GS) identifies individuals for inclusion in breeding programs based on the sum of their estimated marker effects or genomic estimated breeding values (GEBVs). Due to significant correlation between GEBVs and true breeding values, this has resulted in enhanced rates of genetic gain as compared to traditional methods of selection. Three extensions to GS, weighted genomic select...
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 کاملGenomic 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 ...
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ژورنال
عنوان ژورنال: Crop Science
سال: 2020
ISSN: 0011-183X,1435-0653
DOI: 10.1002/csc2.20070