[HTML][HTML] On the use of whole-genome sequence data for across-breed genomic prediction and fine-scale mapping of QTL

T Meuwissen, I van den Berg, M Goddard - Genetics Selection Evolution, 2021 - Springer
Background Whole-genome sequence (WGS) data are increasingly available on large
numbers of individuals in animal and plant breeding and in human genetics through second …

Application of support vector regression to genome-assisted prediction of quantitative traits

N Long, D Gianola, GJM Rosa, KA Weigel - Theoretical and applied …, 2011 - Springer
A byproduct of genome-wide association studies is the possibility of carrying out genome-
enabled prediction of disease risk or of quantitative traits. This study is concerned with …

[HTML][HTML] Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic …

KE Kemper, CM Reich, PJ Bowman… - Genetics Selection …, 2015 - Springer
Background Genomic selection is increasingly widely practised, particularly in dairy cattle.
However, the accuracy of current predictions using GBLUP (genomic best linear unbiased …

Joint use of genome, pedigree, and their interaction with environment for predicting the performance of wheat lines in new environments

R Howard, D Gianola… - G3: Genes …, 2019 - academic.oup.com
Genome-enabled prediction plays an essential role in wheat breeding because it has the
potential to increase the rate of genetic gain relative to traditional phenotypic and pedigree …

[HTML][HTML] Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

M Erbe, BJ Hayes, LK Matukumalli, S Goswami… - Journal of dairy …, 2012 - Elsevier
Achieving accurate genomic estimated breeding values for dairy cattle requires a very large
reference population of genotyped and phenotyped individuals. Assembling such reference …

L2,1-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics, 2021 - academic.oup.com
Motivation Genomic selection (GS) is currently deemed the most effective approach to speed
up breeding of agricultural varieties. It has been recognized that consideration of multiple …

[PDF][PDF] BLUPF90 suite of programs for animal breeding with focus on genomics

I Aguilar, S Tsuruta, Y Masuda… - Proceedings of the …, 2018 - researchgate.net
The BLUPF90 suite is a collection of software for mixed-model analysis with focus on
breeding and genetics applications. Solving of mixed model equations and variance …

[HTML][HTML] Weighting strategies for single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS

X Zhang, D Lourenco, I Aguilar, A Legarra… - Frontiers in …, 2016 - frontiersin.org
Genomic Best Linear Unbiased Predictor (GBLUP) assumes equal variance for all single
nucleotide polymorphisms (SNP). When traits are influenced by major SNP, Bayesian …

[HTML][HTML] Evaluation of an ensemble of genetic models for prediction of a quantitative trait

JN Milton, MH Steinberg, P Sebastiani - Frontiers in Genetics, 2015 - frontiersin.org
Many genetic markers have been shown to be associated with common quantitative traits in
genome-wide association studies. Typically these associated genetic markers have small to …

[HTML][HTML] Evaluation of approaches for estimating the accuracy of genomic prediction in plant breeding

SB Ould Estaghvirou, JO Ogutu, T Schulz-Streeck… - BMC genomics, 2013 - Springer
Background In genomic prediction, an important measure of accuracy is the correlation
between the predicted and the true breeding values. Direct computation of this quantity for …