Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Bruce Tier"'
Publikováno v:
Genetics Selection Evolution, Vol 50, Iss 1, Pp 1-11 (2018)
Abstract Background A common measure employed to evaluate the efficacy of livestock improvement schemes is the genetic trend, which is calculated as the means of predicted breeding values for animals born in successive time periods. This implies that
Externí odkaz:
https://doaj.org/article/6d00fb8632544630996e10ac9ab04031
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Diagonal elements of the coefficient matrix are necessary to calculate the genomic prediction accuracy. Here an improved methodology is described, to update the inverse of the coefficient matrix (C) for new individuals with a genotype, with and witho
Externí odkaz:
https://doaj.org/article/1c6638a3b0cb46d889ac632f0d75aa14
Autor:
Sunduimijid Bolormaa, Jennie E Pryce, Antonio Reverter, Yuandan Zhang, William Barendse, Kathryn Kemper, Bruce Tier, Keith Savin, Ben J Hayes, Michael E Goddard
Publikováno v:
PLoS Genetics, Vol 10, Iss 3, p e1004198 (2014)
Polymorphisms that affect complex traits or quantitative trait loci (QTL) often affect multiple traits. We describe two novel methods (1) for finding single nucleotide polymorphisms (SNPs) significantly associated with one or more traits using a mult
Externí odkaz:
https://doaj.org/article/f2d854f6db604ae890ea271433ff63f5
Publikováno v:
Frontiers in Genetics
Frontiers in Genetics, Vol 10 (2019)
Frontiers in Genetics, Vol 10 (2019)
Diagonal elements of the coefficient matrix are necessary to calculate the genomic prediction accuracy. Here an improved methodology is described, to update the inverse of the coefficient matrix (C) for new individuals with a genotype, with and witho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6545b37dc69b21c5d6e94ae77e64f5e
https://doi.org/10.3389/fgene.2019.00596
https://doi.org/10.3389/fgene.2019.00596
Publikováno v:
Journal of Animal Science. 93:4624-4628
A reparameterization of the multivariate linear mixed model in genetic evaluation to principal components is described. This yields an equivalent model with a sparser coefficient matrix in the mixed model equations and, thus, reduced computational re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c191b8b1412086738ee8892799db9a8d
https://doi.org/10.2527/jas.2015-9333
https://doi.org/10.2527/jas.2015-9333
Autor:
Bruce Tier, Vinzent Boerner
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2016, 48 (1), pp.63. ⟨10.1186/s12711-016-0241-x⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, BioMed Central, 2016, 48 (1), pp.63. ⟨10.1186/s12711-016-0241-x⟩
Genetics, Selection, Evolution : GSE
International audience; AbstractBackgroundThe advent of genomic marker data has triggered the development of various Bayesian algorithms for estimation of marker effects, but software packages implementing these algorithms are not readily available,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff5901e778d9834c73a1e9225d7cf026
https://hal.archives-ouvertes.fr/hal-01479288/document
https://hal.archives-ouvertes.fr/hal-01479288/document
Autor:
Coralie M. Reich, Keith W. Savin, Robert M Herd, Jennie E. Pryce, Rowan J. Bunch, William Barendse, Kathryn E. Kemper, Ben J. Hayes, Brett A. Mason, Michael E. Goddard, H. U. Graser, Yuandan Zhang, S. Bolormaa, Bruce Tier, Antonio Reverter, Blair E. Harrison
Publikováno v:
Journal of Animal Science. 91:3088-3104
The aim of this study was to assess the accuracy of genomic predictions for 19 traits including feed efficiency, growth, and carcass and meat quality traits in beef cattle. The 10,181 cattle in our study had real or imputed genotypes for 729,068 SNP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd4be30076a32faf74011f35c31cdc92
https://doi.org/10.2527/jas.2012-5827
https://doi.org/10.2527/jas.2012-5827
Publikováno v:
Journal of Animal Science. 91:2583-2586
A computing strategy to update the inverse of the genomic relationship matrix when new genotypes become available is described. It is shown that re-using results of previous computations can result in substantial reductions in computing time required
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b5b4b7639e92798ea77396b1b944436
https://doi.org/10.2527/jas.2012-6056
https://doi.org/10.2527/jas.2012-6056
Publikováno v:
Journal of Animal Breeding and Genetics. 130:259-269
Long-range phasing and haplotype library imputation methodologies are accurate and efficient methods to provide haplotype information that could be used in prediction of breeding value or phenotype. Modelling long haplotypes as independent effects in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fca5ef46a0ea6f8e395d5cedcddbf957
https://doi.org/10.1111/jbg.12020
https://doi.org/10.1111/jbg.12020
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2016, 48 (1), pp.75. ⟨10.1186/s12711-016-0253-6⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, BioMed Central, 2016, 48 (1), pp.75. ⟨10.1186/s12711-016-0253-6⟩
Genetics, Selection, Evolution : GSE
Background As genomic data becomes more abundant, genomic prediction is more routinely used to estimate breeding values. In genomic prediction, the relationship matrix (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepacka
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6690fe393ff596f04a0c27eb56de2b1f
https://doi.org/10.1186/s12711-016-0253-6
https://doi.org/10.1186/s12711-016-0253-6