R L Fernando
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Explore the profile of R L Fernando including associated specialties, affiliations and a list of published articles.
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79
Citations
1616
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Recent Articles
1.
Wolc A, Drobik-Czwarno W, Jankowski T, Arango J, Settar P, Fulton J, et al.
Poult Sci
. 2020 Jun;
99(6):2833-2840.
PMID: 32475416
Several genomic methods were applied for predicting shell quality traits recorded at 4 different hen ages in a White Leghorn line. The accuracies of genomic prediction of single-step GBLUP and...
2.
Fernando R, Cheng H, Sun X, Garrick D
J Anim Breed Genet
. 2017 May;
134(3):213-223.
PMID: 28508481
The genetic covariance matrix conditional on pedigree is proportional to the pedigree-based additive relationship matrix (PARM), which is twice the matrix of identity-by-descent (IBD) probabilities. In genomic prediction, IBD probabilities...
3.
Kramer L, Ghaffar M, Koltes J, Fritz-Waters E, Mayes M, Sewell A, et al.
BMC Genomics
. 2016 Nov;
17(1):891.
PMID: 27821053
Background: Consumers are becoming increasingly conscientious about the nutritional value of their food. Consumption of some fatty acids has been associated with human health traits such as blood pressure and...
4.
Abell C, Fernando R, Serenius T, Rothschild M, Gray K, Stalder K
J Anim Sci Biotechnol
. 2016 Sep;
7(1):51.
PMID: 27606062
Background: The overall breeding objective for a nucleus swine selection program is to improve crossbred commercial performance. Most genetic improvement programs are based on an assumed high degree of positive...
5.
Heidaritabar M, Wolc A, Arango J, Zeng J, Settar P, Fulton J, et al.
J Anim Breed Genet
. 2016 Jul;
133(5):334-46.
PMID: 27357473
Most genomic prediction studies fit only additive effects in models to estimate genomic breeding values (GEBV). However, if dominance genetic effects are an important source of variation for complex traits,...
6.
Peters S, Kizilkaya K, Garrick D, Fernando R, Pollak E, Enns R, et al.
J Anim Breed Genet
. 2014 May;
131(6):504-12.
PMID: 24834962
Assumptions of normality of residuals for carcass evaluation may make inferences vulnerable to the presence of outliers, but heavy-tail densities are viable alternatives to normal distributions and provide robustness against...
7.
Wolc A, Arango J, Jankowski T, Dunn I, Settar P, Fulton J, et al.
J Anim Breed Genet
. 2014 Mar;
131(3):173-82.
PMID: 24628796
Discovery of genes with large effects on economically important traits has for many years been of interest to breeders. The development of SNP panels which cover the whole genome with...
8.
Fernando R, Gianola D
Theor Appl Genet
. 2013 Nov;
68(3):227-37.
PMID: 24259059
This study examined how assortative mating (without selection) based on linear combinations of two traits could be used to change genetic parameters so as to increase efficiency of selection. The...
9.
Fernando R, Knights S, Gianola D
Theor Appl Genet
. 2013 Nov;
67(2-3):175-8.
PMID: 24258544
Yamada's method of estimating genetic co-variances between traits measured in different experimental units is discussed. It is shown that if the data are unbalanced, this method gives biased estimates of...
10.
Caro R, Grossman M, Fernando R
Theor Appl Genet
. 2013 Nov;
69(5-6):523-30.
PMID: 24254008
Effects of data imbalance on bias, sampling variance and mean square error of heritability estimated with variance components were examined using a random two-way nested classification. Four designs, ranging from...