PSVIII-27 A weighted genomic relationship matrix based on FST prioritized SNPs for genomic selection [PDF]
J Anim Sci, 2019 Abstract Using low to moderate density SNP marker panels, a substantial increase in accuracy was achieved. The dramatic increase in the number of identified variants due to advances in next generation sequencing was expected to significantly increase the accuracy of genomic selection (GS).
Chang L +4 more
europepmc +3 more sources
Accuracy of genomic BLUP when considering a genomic relationship matrix based on the number of the largest eigenvalues: a simulation study. [PDF]
Genet Sel Evol, 2019 AbstractBackgroundThe dimensionality of genomic information is limited by the number of independent chromosome segments (Me), which is a function of the effective population size. This dimensionality can be determined approximately by singular value decomposition of the gene content matrix, by eigenvalue decomposition of the genomic relationship matrix
Pocrnic I +3 more
europepmc +7 more sources
Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to evaluate the effects of genomic information on the genetic evaluation of hip height in Brahman cattle using different matrices built from genomic and pedigree data. Hip height measurements from 1,695 animals, genotyped
Michel Marques Farah +7 more
doaj +2 more sources
Accuracy of genomic breeding value prediction for intramuscular fat using different genomic relationship matrices in Hanwoo (Korean cattle) [PDF]
Asian-Australasian Journal of Animal Sciences, 2017 Objective Intramuscular fat is one of the meat quality traits that is considered in the selection strategies for Hanwoo (Korean cattle). Different methods are used to estimate the breeding value of selection candidates.
Taejeong Choi +6 more
doaj +2 more sources
Genomic selection using a realized genomic relationship matrix in a
BMC Proceedings, 2011 Genetic merit can be considered the finite sum of thousands of allelic effects, each physically located at some place on the genome, whose transmission can be traced through molecular markers. Traditionally, best linear unbiased prediction (BLUP) of breeding values relies on average additive genetic covariances (the numerator relationship matrix A ...
Zapata-Valenzuela Jaime +6 more
doaj +4 more sources
Genomic breeding value estimation using genetic markers, inferred ancestral haplotypes, and the genomic relationship matrix [PDF]
Journal of Dairy Science, 2011 With the introduction of new single nucleotide polymorphism (SNP) chips of various densities, more and more genotype data sets will include animals genotyped for only a subset of the SNP. Imputation techniques based on unobserved ancestral haplotypes may be used to infer missing genotypes.
C Schrooten, Tom Druet
exaly +4 more sources
Journal of Dairy Science, 2021 The growing amount of genomic information in dairy cattle has increased computational and modeling challenges in the single-step evaluations. The computational challenges are due to the dense inverses of genomic (G) and pedigree (A22) relationship matrices of genotyped animals in the single-step mixed model equations. An equivalent mixed model equation
Minna Koivula +2 more
exaly +4 more sources
Genomic Relationship Matrix for Correcting Pedigree Errors in Breeding Populations: Impact on Genetic Parameters and Genomic Selection Accuracy [PDF]
Crop Science, 2014 ABSTRACTQuantitative genetic analyses aim to estimate genetic parameters and breeding values to select superior parents, families, and individuals. For these estimates a relationship matrix derived from the pedigree typically is used in a mixed model framework.
Patricio R. Munoz +8 more
openaire +3 more sources
Comparison of Breeding Value by Establishment of Genomic Relationship Matrix in Pure Landrace Population [PDF]
Journal of Animal Science and Technology, 2013 Genomic relationship matrix (GRM) was constructed using whole genome SNP markers of swine and genomic breeding value was estimated by substitution of the numerator relationship matrix (NRM) based on pedigree information to GRM. Genotypes of 40,706 SNP markers from 448 pure Landrace pigs were used in this study and five kinds of GRM construction methods,
Chung-Il Cho +2 more
exaly +2 more sources
Controlling Coancestry and Thereby Future Inbreeding by Optimum-Contribution Selection Using Alternative Genomic-Relationship Matrices [PDF]
Frontiers in Genetics, 2020 We tested the consequences of using alternative genomic relationship matrices to predict genomic breeding values (GEBVs) and control of coancestry in optimum contribution selection, where the relationship matrix used to calculate GEBVs was not ...
G. T. Gebregiwergis +4 more
doaj +2 more sources