Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Ross D Evans"'
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Genomic imprinting is an epigenetic phenomenon defined as the silencing of an allele, at least partially, at a given locus based on the sex of the transmitting parent. The objective of the present study was to detect the presence of SNP-phenotype imp
Externí odkaz:
https://doaj.org/article/d474568780114f3c9a9c20fd3129e6a5
Autor:
Jennifer L. Doyle, Donagh P. Berry, Roel F. Veerkamp, Tara R. Carthy, Ross D. Evans, Siobhán W. Walsh, Deirdre C. Purfield
Publikováno v:
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-18 (2020)
Abstract Background Linear type traits, which reflect the muscular characteristics of an animal, could provide insight into how, in some cases, morphologically very different animals can yield the same carcass weight. Such variability may contribute
Externí odkaz:
https://doaj.org/article/1060a033b3174bd38b6ab7666246b2a3
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
The objective of the present study was to quantify the association between both pedigree and genome-based measures of global heterozygosity and carcass traits, and to identify single nucleotide polymorphisms (SNPs) exhibiting non-additive association
Externí odkaz:
https://doaj.org/article/673ecb16ca9a43af8fbf025c25acd86c
Publikováno v:
Animal, Vol 15, Iss 9, Pp 100321- (2021)
Genetic evaluations separate phenotypes into their contributing additive genetic effects and non-(additive) genetic effects, with the former termed best linear unbiased predictions, and the latter termed best linear unbiased estimates (BLUEs). For th
Externí odkaz:
https://doaj.org/article/3150355ca5c144bbbdd7f3f4328b91d3
Autor:
Alan J. Twomey, Donagh P. Berry, Ross D. Evans, Michael L. Doherty, David A. Graham, Deirdre C. Purfield
Publikováno v:
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-17 (2019)
Abstract Background Quantitative genetic studies suggest the existence of variation at the genome level that affects the ability of cattle to resist to parasitic diseases. The objective of the current study was to identify regions of the bovine genom
Externí odkaz:
https://doaj.org/article/e73a9a0634734c28adfed939def0923c
Autor:
Jennifer L. Doyle, Donagh P. Berry, Roel F. Veerkamp, Tara R. Carthy, Siobhan W. Walsh, Ross D. Evans, Deirdre C. Purfield
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Linear type traits describing the skeletal characteristics of an animal are moderately to strongly genetically correlated with a range of other performance traits in cattle including feed intake, reproduction traits and carcass merit; thus, type trai
Externí odkaz:
https://doaj.org/article/36e10965be61441ea319cec1fca1afdd
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
While many association studies exist that have attempted to relate genomic markers to phenotypic performance in cattle, very few have considered gestation length as a phenotype, and of those that did, none used whole genome sequence data from multipl
Externí odkaz:
https://doaj.org/article/086bae2bc04e42358d8c7b750a27c713
Autor:
Donagh P. Berry, Ross D Evans
Publikováno v:
JDS Communications. 3:32-37
Attention is increasing on both cow size and body weight (BW) as energy sinks and thus as contributors to differences in production efficiency among cows. What is not currently clear, however, is how cow BW affects the increase in yield per cow per u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::035c2762622514a4bd8a12315caa544b
https://doi.org/10.3168/jdsc.2021-0115
https://doi.org/10.3168/jdsc.2021-0115
Publikováno v:
Journal of Dairy Science. 104:8076-8093
Various studies have validated that genetic divergence in dairy cattle translates to phenotypic differences; nonetheless, many studies that consider the breeding goal, or associated traits, have generally been small scale, often undertaken in control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e12cce9ec4b13dfc8e76b7d5238b51e0
https://doi.org/10.3168/jds.2020-19957
https://doi.org/10.3168/jds.2020-19957
Publikováno v:
Meat science. 184
Deep Learning (DL) has proven to be a successful tool for many image classification problems but has yet to be applied to carcass images. The aim of this study was to train DL models to predict carcass cut yields and compare predictions to more stand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99c8d75b18c4ee45168bc802449dd44b
https://pubmed.ncbi.nlm.nih.gov/34656003
https://pubmed.ncbi.nlm.nih.gov/34656003