Results 11 to 20 of about 104,292 (281)
Comparison of prediction accuracy for genomic estimated breeding value using the reference pig population of single-breed and admixed-breed [PDF]
Journal of Animal Science and Technology, 2020 This study was performed to increase the accuracy of genomic estimated breeding value (GEBV) predictions for domestic pigs using single-breed and admixed reference populations (single-breed of Berkshire pigs [BS] with cross breed of Korean native pigs and Landrace pigs [CB]).
Soo Hyun Lee +8 more
openaire +5 more sources
Genomic Selection in Sugarcane: Current Status and Future Prospects
Frontiers in Plant Science, 2021 Sugarcane is a C4 and agro-industry-based crop with a high potential for biomass production. It serves as raw material for the production of sugar, ethanol, and electricity.
Channappa Mahadevaiah +9 more
doaj +1 more source
EM algorithm for Bayesian estimation of genomic breeding values [PDF]
BMC Genetics, 2010 In genomic selection, a model for prediction of genome-wide breeding value (GBV) is constructed by estimating a large number of SNP effects that are included in a model. Two Bayesian methods based on MCMC algorithm, Bayesian shrinkage regression (BSR) method and stochastic search variable selection (SSVS) method, (which are called BayesA and BayesB ...
Iwata Hiroyoshi, Hayashi Takeshi
openaire +3 more sources
Genetic architecture of fresh-market tomato yield
BMC Plant Biology, 2023 Background The fresh-market tomato (Solanum lycopersicum) is bred for direct consumption and is selected for a high yield of large fruits. To understand the genetic variations (distinct types of DNA sequence polymorphism) that influence the yield, we ...
Prashant Bhandari +2 more
doaj +1 more source
Using the Pareto principle in genome-wide breeding value estimation [PDF]
Genetics Selection Evolution, 2011 Genome-wide breeding value (GWEBV) estimation methods can be classified based on the prior distribution assumptions of marker effects. Genome-wide BLUP methods assume a normal prior distribution for all markers with a constant variance, and are computationally fast.
Yu Xijiang, Meuwissen Theo HE
openaire +3 more sources
Genomic prediction of breeding values using previously estimated SNP variances [PDF]
Genetics Selection Evolution, 2014 Genomic prediction requires estimation of variances of effects of single nucleotide polymorphisms (SNPs), which is computationally demanding, and uses these variances for prediction. We have developed models with separate estimation of SNP variances, which can be applied infrequently, and genomic prediction, which can be applied routinely.SNP variances
Calus, M.P.L. +2 more
openaire +4 more sources
The impact of genomic relatedness between populations on the genomic estimated breeding values [PDF]
Journal of Animal Science and Biotechnology, 2018 In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. The genetic relationship between related populations is
Ma, Peipei +7 more
openaire +5 more sources
Genetic evaluation and accuracy analysis of commercial Hanwoo population using genomic data
Journal of Animal Reproduction and Biotechnology, 2023 This study has evaluated the genomic estimated breeding value (GEBV) of the commercial Hanwoo population using the genomic best linear unbiased prediction (GBLUP) method and genomic information. Furthermore, it analyzed the accuracy and realized accuracy
Gwang Hyeon Lee +2 more
doaj +1 more source
Deregressing estimated breeding values and weighting information for genomic regression analyses [PDF]
Genetics Selection Evolution, 2009 Genomic prediction of breeding values involves a so-called training analysis that predicts the influence of small genomic regions by regression of observed information on marker genotypes for a given population of individuals. Available observations may take the form of individual phenotypes, repeated observations, records on close family members such ...
Garrick, Dorian J. +2 more
openaire +3 more sources
Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods. [PDF]
, 2019 Incorporating measurements on correlated traits into genomic prediction models can increase prediction accuracy and selection gain. However, multi-trait genomic prediction models are complex and prone to overfitting which may result in a loss of ...
Cheng, Hao, Runcie, Daniel
core +1 more source