ArticleGenetics, selection, evolution : GSE2018
Estimates of genetic trend for single-step genomic evaluations.
Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Evaluation of Multi-Breed Genomic Prediction Models for Carcass and Reproductive Traits in Zebu Beef Cattle.Animal genetics · 2026Article
- Genomic selection validated across two generations of loblolly pine breeding.G3 (Bethesda, Md.) · 2026Article
- Preliminary Evaluation of Blending, Tuning, and Scaling Parameters in ssGBLUP for Genomic Prediction Accuracy in South African Holstein Cattle.Animals : an open access journal from MDPI · 2025Article
- Article
- Strategies for genomic predictions of an indicine multi-breed population using single-step GBLUP.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- SNP- and haplotype-based single-step genomic predictions for body weight, wool, and reproductive traits in North American Rambouillet sheep.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2023Article
- An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation.Frontiers in genetics · 2023Article
- Impact of blending the genomic relationship matrix with different levels of pedigree relationships or the identity matrix on genetic evaluations.JDS communications · 2022Article
- Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups.Genetics, selection, evolution : GSE · 2020Article
- Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90.Genes · 2020Review
- Current status of genomic evaluation.Journal of animal science · 2020Review
- Variance estimates are similar using pedigree or genomic relationships with or without the use of metafounders or the algorithm for proven and young animals1.Journal of animal science · 2020Article
- ICGRM: integrative construction of genomic relationship matrix combining multiple genomic regions for big dataset.BMC bioinformatics · 2019Article
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3 authors.
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Abstract
backgroundA common measure employed to evaluate the efficacy of livestock improvement schemes is the genetic trend, which is calculated as the means of predicted breeding values for animals born in successive time periods. This implies that different cohorts refer to the same base population. For genetic evaluation schemes integrating genomic information with records for all animals, genotyped or not, this is often not the case: expected means for pedigree founders are zero whereas values for genotyped animals are expected to sum to zero at the (mean) time corresponding to the frequencies that are used to center marker allele counts when calculating genomic relationships.
methodsThe paper examines estimates of genetic trends from single-step genomic evaluations. After a review of methods which propose to align pedigree-based and genomic relationship matrices, simulation is used to illustrate the effects of alignments and choice of assumed gene frequencies on trajectories of genetic trends.
resultsThe results show that methods available to alleviate differences between the founder populations implied by the two types of relationship matrices perform well; in particular, the meta-founder approach is advantageous. An application to data from routine genetic evaluation of Australian sheep is shown, confirming their effectiveness for practical data.
conclusionsAligning pedigree and genomic relationship matrices for single step genetic evaluation for populations under selection is essential. Fitting meta-founders is an effective and simple method to avoid distortion of estimates of genetic trends.
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