Identification of genomic variants causing variation in quantitative traits: a review
Many of the important traits of livestock are complex or quantitative traits controlled by
thousands of variants in the DNA sequence of individual animals and environmental factors …
thousands of variants in the DNA sequence of individual animals and environmental factors …
Weighting strategies for single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS
Genomic Best Linear Unbiased Predictor (GBLUP) assumes equal variance for all single
nucleotide polymorphisms (SNP). When traits are influenced by major SNP, Bayesian …
nucleotide polymorphisms (SNP). When traits are influenced by major SNP, Bayesian …
Stacked kinship CNN vs. GBLUP for genomic predictions of additive and complex continuous phenotypes
Deep learning is impacting many fields of data science with often spectacular results.
However, its application to whole-genome predictions in plant and animal science or in …
However, its application to whole-genome predictions in plant and animal science or in …
Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants
Background Increasing marker density was proposed to have potential to improve the
accuracy of genomic prediction for quantitative traits; whole-sequence data is expected to …
accuracy of genomic prediction for quantitative traits; whole-sequence data is expected to …
[HTML][HTML] Predicting the effect of reference population on the accuracy of within, across, and multibreed genomic prediction
Genomic prediction is widely used to select candidates for breeding. Size and composition
of the reference population are important factors influencing prediction accuracy. In Holstein …
of the reference population are important factors influencing prediction accuracy. In Holstein …
Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection
Background Use of whole-genome sequence data is expected to increase persistency of
genomic prediction across generations and breeds but affects model performance and …
genomic prediction across generations and breeds but affects model performance and …
Efficient weighting methods for genomic best linear-unbiased prediction (BLUP) adapted to the genetic architectures of quantitative traits
D Ren, L An, B Li, L Qiao, W Liu - Heredity, 2021 - nature.com
Genomic best linear-unbiased prediction (GBLUP) assumes equal variance for all marker
effects, which is suitable for traits that conform to the infinitesimal model. For traits controlled …
effects, which is suitable for traits that conform to the infinitesimal model. For traits controlled …
Strategies to improve genomic predictions for 35 duck carcass traits in an F2 population
W Cai, J Hu, W Fan, Y Xu, J Tang, M **e… - Journal of Animal …, 2023 - Springer
Background Carcass traits are crucial for broiler ducks, but carcass traits can only be
measured postmortem. Genomic selection (GS) is an effective approach in animal breeding …
measured postmortem. Genomic selection (GS) is an effective approach in animal breeding …
[HTML][HTML] Multibreed genomic prediction using multitrait genomic residual maximum likelihood and multitask Bayesian variable selection
Genomic prediction is applicable to individuals of different breeds. Empirical results to date,
however, show limited benefits in using information on multiple breeds in the context of …
however, show limited benefits in using information on multiple breeds in the context of …
Genetic basis for resistance against viral nervous necrosis: GWAS and potential of genomic prediction explored in farmed European sea bass (Dicentrarchus labrax)
Viral nervous necrosis (VNN) is an infectious disease caused by the red-spotted grouper
nervous necrosis virus (RGNNV) in European sea bass and is considered a serious concern …
nervous necrosis virus (RGNNV) in European sea bass and is considered a serious concern …