Results 21 to 30 of about 542,878 (302)

Bayesian methods for jointly estimating genomic breeding values of one continuous and one threshold trait. [PDF]

open access: yesPLoS ONE, 2017
Genomic selection has become a useful tool for animal and plant breeding. Currently, genomic evaluation is usually carried out using a single-trait model.
Chonglong Wang   +5 more
doaj   +1 more source

Removing batch effects for prediction problems with frozen surrogate variable analysis [PDF]

open access: yes, 2013
Batch effects are responsible for the failure of promising genomic prognos- tic signatures, major ambiguities in published genomic results, and retractions of widely-publicized findings.
Bravo, Héctor Corrada   +2 more
core   +3 more sources

How Population Structure Impacts Genomic Selection Accuracy in Cross-Validation: Implications for Practical Breeding

open access: yesFrontiers in Plant Science, 2020
Over the last two decades, the application of genomic selection has been extensively studied in various crop species, and it has become a common practice to report prediction accuracies using cross validation.
Christian R. Werner   +9 more
doaj   +1 more source

Increased Accuracy of Genomic Prediction Using Preselected SNPs from GWAS with Imputed Whole-Genome Sequence Data in Pigs

open access: yesAnimals, 2023
Enhancing the accuracy of genomic prediction is a key goal in genomic selection (GS) research. Integrating prior biological information into GS methods using appropriate models can improve prediction accuracy for complex traits.
Yiyi Liu   +12 more
doaj   +1 more source

Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods. [PDF]

open access: yes, 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

Pre-selecting markers based on fixation index scores improved the power of genomic evaluations in a combined Yorkshire pig population

open access: yesAnimal, 2020
Combining different swine populations in genomic prediction can be an important tool, leading to an increased accuracy of genomic prediction using single nucleotide polymorphism (SNP) chip data compared with within-population genomic.
S. Ye, H. Song, X. Ding, Z. Zhang, J. Li
doaj   +1 more source

Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction. [PDF]

open access: yes, 2017
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Xu, Shizhong
core   +2 more sources

Pan-genomic open reading frames: A potential supplement of single nucleotide polymorphisms in estimation of heritability and genomic prediction.

open access: yesPLoS Genetics, 2020
Pan-genomic open reading frames (ORFs) potentially carry protein-coding gene or coding variant information in a population. In this study, we suggest that pan-genomic ORFs are promising to be utilized in estimation of heritability and genomic prediction.
Zhengcao Li, Henner Simianer
doaj   +1 more source

Accuracy and responses of genomic selection on key traits in apple breeding [PDF]

open access: yes, 2016
open13siThe application of genomic selection in fruit tree crops is expected to enhance breeding efficiency by increasing prediction accuracy, increasing selection intensity and decreasing generation interval.

core   +1 more source

Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP

open access: yesPLoS ONE, 2014
We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D   +4 more
openaire   +4 more sources

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