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Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers

by Fordyce, Geoffry , Corbet, Nicholas J , Hayes, Ben J , Lyons, Russell E , Moore, Stephen S , Costilla, Roy , Burns, Brian M , McGowan, Michael R , Ross, Elizabeth M , Allen, Jack M , Laing, Alan R , Engle, Bailey N , Warburton, Christie L

in Accuracy / Age / Agriculture / Analysis / Animal Genetics and Genomics / Animals / Bayesian analysis / Bayesian theory / Beef / beef cattle / Biomedical and Life Sciences / Brahman / Chromosomes / Cost control / Dairy cattle / Dairy industry / Density / Drought / evolution / Evolutionary Biology / Genetic research / Genome-wide association studies / genome-wide association study / Genomes / Genomics / genotype / Genotypes / heifers / herds / Life Sciences / Marker panels / marker-assisted selection / Mathematical analysis / Mathematical models / Matrix methods / meta-analysis / Model accuracy / Nucleotide sequence / Ovaries / phenotype / Phenotypes / Population / prediction / Predictions / Puberty / Research Article / Santa Gertrudis / Software / Ultrasonic imaging

2020

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Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers

2020

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Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers

2020

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Journal Article

Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers

Fordyce, Geoffry,

Corbet, Nicholas J,

Hayes, Ben J,

Lyons, Russell E,

Moore, Stephen S,

Costilla, Roy,

Burns, Brian M,

McGowan, Michael R,

Ross, Elizabeth M,

Allen, Jack M,

Laing, Alan R,

Engle, Bailey N,

Warburton, Christie L

2020

Overview

In tropically-adapted beef heifers, application of genomic prediction for age at puberty has been limited due to low prediction accuracies. Our aim was to investigate novel methods of pre-selecting whole-genome sequence (WGS) variants and alternative analysis methodologies; including genomic best linear unbiased prediction (GBLUP) with multiple genomic relationship matrices (MGRM) and Bayesian (BayesR) analyses, to determine if prediction accuracy for age at puberty can be improved.

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Publisher

BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC

Subject

Accuracy

/ Age

/ Agriculture

/ Analysis

/ Animal Genetics and Genomics

/ Animals

/ Bayesian analysis