Works matching AU van der Werf, Julius H. J.
Results: 53
The Impact of Genetic and Non-Genetic Factors on Lamb Loin Shear Force.
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- Animals (2076-2615), 2024, v. 14, n. 18, p. 2628, doi. 10.3390/ani14182628
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- Article
hsphase: an R package for pedigree reconstruction, detection of recombination events, phasing and imputation of half-sib family groups.
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- BMC Bioinformatics, 2014, v. 15, n. 1, p. 1, doi. 10.1186/1471-2105-15-172
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Using an evolutionary algorithm and parallel computing for haplotyping in a general complex pedigree with multiple marker loci.
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- BMC Bioinformatics, 2008, v. 9, p. 1, doi. 10.1186/1471-2105-9-189
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- Article
Genomic prediction of the polled and horned phenotypes in Merino sheep.
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- Genetics Selection Evolution, 2018, v. 50, n. 1, p. N.PAG, doi. 10.1186/s12711-018-0398-6
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- Article
Genomic prediction from observed and imputed high-density ovine genotypes.
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- Genetics Selection Evolution, 2017, v. 49, p. 1, doi. 10.1186/s12711-017-0315-4
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Genetic and economic benefits of selection based on performance recording and genotyping in lower tiers of multi-tiered sheep breeding schemes.
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- Genetics Selection Evolution, 2017, v. 49, p. 1, doi. 10.1186/s12711-016-0281-2
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Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction.
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- Genetics Selection Evolution, 2015, v. 47, p. 1, doi. 10.1186/s12711-015-0175-8
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Increased genetic gains in sheep, beef and dairy breeding programs from using female reproductive technologies combined with optimal contribution selection and genomic breeding values.
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- Genetics Selection Evolution, 2015, v. 47, n. 1, p. 1, doi. 10.1186/s12711-015-0151-3
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Design of reference populations for genomic selection in crossbreeding programs.
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- Genetics Selection Evolution, 2015, v. 47, p. 1, doi. 10.1186/s12711-015-0104-x
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Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep.
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- Genetics Selection Evolution, 2014, v. 46, p. 1, doi. 10.1186/s12711-014-0058-4
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Detection of recombination events, haplotype reconstruction and imputation of sires using half-sib SNP genotypes.
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- Genetics Selection Evolution, 2014, v. 46, p. 1, doi. 10.1186/1297-9686-46-11
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The effect of genomic information on optimal contribution selection in livestock breeding programs.
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- Genetics Selection Evolution, 2013, v. 45, n. October, p. 1, doi. 10.1186/1297-9686-45-44
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- Article
Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation.
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- Genetics Selection Evolution, 2012, v. 44, n. 11, p. 1, doi. 10.1186/1297-9686-44-33
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A phasing and imputation method for pedigreed populations that results in a single-stage genomic evaluation.
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- Genetics Selection Evolution, 2012, v. 44, n. 6, p. 1, doi. 10.1186/1297-9686-44-9
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The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes.
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- Genetics Selection Evolution, 2012, v. 44, n. 4, p. 1, doi. 10.1186/1297-9686-44-4
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Different models of genetic variation and their effect on genomic evaluation.
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- Genetics Selection Evolution, 2011, v. 43, n. 5, p. 1, doi. 10.1186/1297-9686-43-18
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A combined long-range phasing and long haplotype imputation method to impute phase for SNP genotypes.
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- Genetics Selection Evolution, 2011, v. 43, n. 3, p. 1, doi. 10.1186/1297-9686-43-12
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Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits.
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- Genetics Selection Evolution, 2010, v. 42, n. 6, p. 1, doi. 10.1186/1297-9686-42-22
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The Impact of Non-additive Effects on the Genetic Correlation Between Populations.
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- G3: Genes | Genomes | Genetics, 2020, v. 10, n. 2, p. 783, doi. 10.1534/g3.119.400663
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The Impact of Genomic and Traditional Selection on the Contribution of Mutational Variance to Long-Term Selection Response and Genetic Variance.
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- Genetics, 2019, v. 213, n. 2, p. 361, doi. 10.1534/genetics.119.302336
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Differential Gene Expression in Longissimus Dorsi Muscle of Hanwoo Steers—New Insight in Genes Involved in Marbling Development at Younger Ages.
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- Genes, 2020, v. 11, n. 11, p. 1381, doi. 10.3390/genes11111381
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An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation.
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- Frontiers in Genetics, 2023, p. 01, doi. 10.3389/fgene.2023.1104906
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Genome‐wide association study for carcass traits in Hanwoo cattle using additional relatives' information of non‐genotyped animals.
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- Animal Genetics, 2022, v. 53, n. 6, p. 863, doi. 10.1111/age.13251
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Predicting Unobserved Phenotypes for Complex Traits from Whole-Genome SNP Data.
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- PLoS Genetics, 2008, v. 4, n. 10, p. 1, doi. 10.1371/journal.pgen.1000231
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Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle.
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- Journal of Animal Science, 2018, v. 96, n. 11, p. 4521, doi. 10.1093/jas/sky325
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Genetic correlations between meat quality traits and growth and carcass traits in Merino sheep.
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- Journal of Animal Science, 2018, v. 96, n. 9, p. 3582, doi. 10.1093/jas/sky232
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Using information of relatives in genomic prediction to apply effective stratified medicine.
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- Scientific Reports, 2017, p. 42091, doi. 10.1038/srep42091
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Combining information from genome-wide association and multi-tissue gene expression studies to elucidate factors underlying genetic variation for residual feed intake in Australian Angus cattle.
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- BMC Genomics, 2019, v. 20, n. 1, p. N.PAG, doi. 10.1186/s12864-019-6270-4
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- Article
Segregation GWAS to linearize a non-additive locus with incomplete penetrance: an example of horn status in sheep.
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- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-024-00928-0
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Genotyping both live and dead animals to improve post-weaning survival of pigs in breeding programs.
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- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-024-00932-4
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Correction: Validation of reaction norm breeding values for robustness in Australian sheep.
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- 2024
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- Correction Notice
Validation of reaction norm breeding values for robustness in Australian sheep.
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- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-023-00872-5
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Validation of reaction norm breeding values for robustness in Australian sheep.
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- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-023-00872-5
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Challenges and strategies for genetic selection of sheep better adapted to harsh environments.
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- Animal Frontiers, 2023, v. 13, n. 5, p. 43, doi. 10.1093/af/vfad055
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- Article
Optimization of Dairy Cattle Breeding Programs with Genotype by Environment Interaction in Kenya.
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- Agriculture; Basel, 2022, v. 12, n. 8, p. N.PAG, doi. 10.3390/agriculture12081274
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A conditional multi-trait sequence GWAS discovers pleiotropic candidate genes and variants for sheep wool, skin wrinkle and breech cover traits.
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- Genetics Selection Evolution, 2021, v. 53, n. 1, p. 1, doi. 10.1186/s12711-021-00651-0
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Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle.
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- Genetics Selection Evolution, 2020, v. 52, n. 1, p. N.PAG, doi. 10.1186/s12711-020-00574-2
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Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations.
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- Genetics Selection Evolution, 2019, v. 51, n. 1, p. N.PAG, doi. 10.1186/s12711-019-0514-2
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Detection of genomic regions underlying resistance to gastrointestinal parasites in Australian sheep.
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- Genetics Selection Evolution, 2019, v. 51, n. 1, p. N.PAG, doi. 10.1186/s12711-019-0479-1
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Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep.
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- Genetics Selection Evolution, 2019, v. 51, n. 1, p. N.PAG, doi. 10.1186/s12711-019-0476-4
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The predicted benefits of genomic selection on pig breeding objectives.
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- Journal of Animal Breeding & Genetics, 2024, v. 141, n. 6, p. 685, doi. 10.1111/jbg.12873
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Genetic diversity, population structure and origin of the native goats in Central Laos.
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- Journal of Animal Breeding & Genetics, 2024, v. 141, n. 5, p. 531, doi. 10.1111/jbg.12862
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Economic values for production, fertility and mastitis traits for temperate dairy cattle breeds in tropical Sri Lanka.
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- Journal of Animal Breeding & Genetics, 2022, v. 139, n. 3, p. 330, doi. 10.1111/jbg.12667
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Longitudinal analysis of body weight and average daily feed intake during the feedlot test period in Angus cattle.
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- Journal of Animal Breeding & Genetics, 2020, v. 137, n. 3, p. 281, doi. 10.1111/jbg.12439
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Genotyping strategies of selection candidates in livestock breeding programmes.
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- Journal of Animal Breeding & Genetics, 2019, v. 136, n. 2, p. 91, doi. 10.1111/jbg.12381
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Optimizing female allocation to reproductive technologies considering merit, inbreeding and cost in nucleus breeding programmes with genomic selection.
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- Journal of Animal Breeding & Genetics, 2019, v. 136, n. 2, p. 79, doi. 10.1111/jbg.12374
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- Article
Sensitivity of the breeding values for growth rate and worm egg count to environmental worm burden in Australian Merino sheep.
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- Journal of Animal Breeding & Genetics, 2018, v. 135, n. 5, p. 357, doi. 10.1111/jbg.12349
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Partitioning the forms of genotype-by-environment interaction in the reaction norm analysis of stability.
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- Theoretical & Applied Genetics, 2023, v. 136, n. 5, p. 1, doi. 10.1007/s00122-023-04319-9
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Detailed phenotyping identifies genes with pleiotropic effects on body composition.
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- BMC Genomics, 2016, v. 17, p. 1, doi. 10.1186/s12864-016-2538-0
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Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship.
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- PLoS ONE, 2017, v. 12, n. 12, p. 1, doi. 10.1371/journal.pone.0189775
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- Article