نتایج جستجو برای: genomic accuracy
تعداد نتایج: 448226 فیلتر نتایج به سال:
introduction genetic evaluation and estimation of breeding value are one of the most fundamental elements of breeding programmes for genetic improvement. recently, genomic selection has become an efficient method to approach this aim. the accuracy of estimated genomic breeding value is the most important factor in genomic selection. different studies have been performed addressing the factors a...
In most genomic prediction studies only additive effects will be used in models for estimating genomic breeding values (GEBV). However, dominance genetic effects are an important source of variation for complex traits, considering them into account may improve the accuracy of GEBV. In the present study, performed applying simulated data, the effect of different heritability values (0.1...
Genomic selection is a promising challenge for discovering genetic variants influencing quantitative and threshold traits for improving the genetic gain and accuracy of genomic prediction in animal breeding. Since a proportion of genotypes are generally uncalled, therefore, prediction of genomic accuracy requires imputation of missing genotypes. The objectives of this study were (1) to quantify...
the aim of this study was to determine the effect of marker density, level of heritability, number of qtls, and size of training set on the genomic accuracy over three generations. thereby, a trait was simulated with heritability of 0.10, 0.25 or 0.40. for each animal, a genome with 20 chromosomes, 1 morgan each, was simulated. different marker densities (2000, 4000 and 6000 markers) and 400 an...
In the present study two genetically connected small and large populations were simulated and the effect of different sources of information from foreign populations on the accuracy of predicted genomic breeding values of young animals of the small population was investigated. A large population consist of 200000 animals over 15 generations and a small population consist of 5000 animals over 3 ...
The aim of this study was to determine the effect of marker density, level of heritability, number of QTLs, and size of training set on the genomic accuracy over three generations. Thereby, a trait was simulated with heritability of 0.10, 0.25 or 0.40. For each animal, a genome with 20 chromosomes, 1 Morgan each, was simulated. Different marker densities (2000, 4000 and 6000 markers) and 400 an...
the objective of this study was to compare six statistical methods for prediction of genomic breedingvalues for traits with different genetic architecture in term of gene effects distributions and number ofquantitative traits loci (qtls). a genome consisted of 500 bi-allelic single nucleotide polymorphism(snp) markers distributed over a chromosomes with 100 cm length was simulated. three differ...
introduction: genomic selection refers to selection decisions based on genomic breeding values (gebv). the gebv are calculated as the sum of the effects of dense genetic markers across the entire genome, thereby potentially capturing all the quantitative trait loci (qtl) that contribute to variation in a trait. the qtl effects, inferred from markers, are first estimated in a large reference pop...
This study aimed to investigate the effect of the method of estimating the effects of markers , QTLs distribution, number of QTLs, effective population size and trait heritability on the accuracy of genomic predictions. Two effective population sizes, 100 and 500 individuals, were simulated by QMSim software. A 100 cM genome including one chromosome was simulated where 500 SNPs and two diffe...
The objective of this study was to investigate the role of genetic relationships between training and validation set with considering different ratio of phenotypic records of training set on accuracy of genomic prediction via animal models containing genotype × environment interactions in simulated imputation data. For this purpose, four different scenarios using 15k density containing differen...
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