Zobrazeno 1 - 10
of 577
pro vyhledávání: '"Garrick Dorian"'
Publikováno v:
BMC Proceedings, Vol 5, Iss Suppl 4, p S22 (2011)
Abstract Infectious bovine keratoconjunctivitis (IBK), also known as pinkeye, is characterized by damage to the cornea and is an economically important, lowly heritable, categorical disease trait in beef cattle. Scores of eye damage were collected at
Externí odkaz:
https://doaj.org/article/510912b724c243f2838ae290245aa955
Publikováno v:
BMC Bioinformatics, Vol 11, Iss Suppl 4, p P4 (2010)
Externí odkaz:
https://doaj.org/article/c5d552411a30481fb1c5b0b05c45cf96
Publikováno v:
Genetics Selection Evolution, Vol 44, Iss 1, p 38 (2012)
Abstract Background In national evaluations, direct genomic breeding values can be considered as correlated traits to those for which phenotypes are available for traditional estimation of breeding values. For this purpose, estimates of the accuracy
Externí odkaz:
https://doaj.org/article/652f2008cf78431290737e502129e3c3
Autor:
Schurink Anouk, Wolc Anna, Ducro Bart J, Frankena Klaas, Garrick Dorian J, Dekkers Jack CM, van Arendonk Johan AM
Publikováno v:
Genetics Selection Evolution, Vol 44, Iss 1, p 31 (2012)
Abstract Background Insect bite hypersensitivity is a common allergic disease in horse populations worldwide. Insect bite hypersensitivity is affected by both environmental and genetic factors. However, little is known about genes contributing to the
Externí odkaz:
https://doaj.org/article/33b602341f8940be8de0faa4f828df7f
Autor:
Saatchi Mahdi, McClure Mathew C, McKay Stephanie D, Rolf Megan M, Kim JaeWoo, Decker Jared E, Taxis Tasia M, Chapple Richard H, Ramey Holly R, Northcutt Sally L, Bauck Stewart, Woodward Brent, Dekkers Jack CM, Fernando Rohan L, Schnabel Robert D, Garrick Dorian J, Taylor Jeremy F
Publikováno v:
Genetics Selection Evolution, Vol 43, Iss 1, p 40 (2011)
Abstract Background Genomic selection is a recently developed technology that is beginning to revolutionize animal breeding. The objective of this study was to estimate marker effects to derive prediction equations for direct genomic values for 16 ro
Externí odkaz:
https://doaj.org/article/da8f83b553564c48bf423f52ee11bad9
Autor:
Fernando Rohan, Habier David, Preisinger Rudolf, Fulton Janet E, O'Sullivan Neil P, Settar Petek, Arango Jesus, Wolc Anna, Garrick Dorian J, Dekkers Jack CM
Publikováno v:
Genetics Selection Evolution, Vol 43, Iss 1, p 23 (2011)
Abstract Background The predictive ability of genomic estimated breeding values (GEBV) originates both from associations between high-density markers and QTL (Quantitative Trait Loci) and from pedigree information. Thus, GEBV are expected to provide
Externí odkaz:
https://doaj.org/article/352040620fd14409b105075f0a3ba71f
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 186 (2011)
Abstract Background Two Bayesian methods, BayesCπ and BayesDπ, were developed for genomic prediction to address the drawback of BayesA and BayesB regarding the impact of prior hyperparameters and treat the prior probability π that a SNP has zero e
Externí odkaz:
https://doaj.org/article/e9b1d24799c14219b0624fce1f23f8dc
Autor:
Garrick Dorian J
Publikováno v:
Genetics Selection Evolution, Vol 43, Iss 1, p 17 (2011)
Abstract Artificial selection has proven to be effective at altering the performance of animal production systems. Nevertheless, selection based on assessment of the genetic superiority of candidates is suboptimal as a result of errors in the predict
Externí odkaz:
https://doaj.org/article/6278e0b91396453a8745af7dfc256b24
Autor:
Fernando Rohan, Habier David, Preisinger Rudolf, O'Sullivan Neil P, Fulton Janet E, Settar Petek, Arango Jesus, Stricker Chris, Wolc Anna, Garrick Dorian J, Lamont Susan J, Dekkers Jack CM
Publikováno v:
Genetics Selection Evolution, Vol 43, Iss 1, p 5 (2011)
Abstract Background Genomic selection involves breeding value estimation of selection candidates based on high-density SNP genotypes. To quantify the potential benefit of genomic selection, accuracies of estimated breeding values (EBV) obtained with
Externí odkaz:
https://doaj.org/article/f4912dc69bd44dc3bc7f716e934fa1b7
Publikováno v:
Genetics Selection Evolution, Vol 42, Iss 1, p 26 (2010)
Abstract Background The distribution of residual effects in linear mixed models in animal breeding applications is typically assumed normal, which makes inferences vulnerable to outlier observations. In order to mute the impact of outliers, one optio
Externí odkaz:
https://doaj.org/article/d3bbaa8594894ebb9af01b35502a6e34