Found: 53
Select item for more details and to access through your institution.
Dissecting loci that underpin the genetic correlations between production, fertility, and urea traits in Australian Holstein cattle.
- Published in:
- Animal Genetics, 2024, v. 55, n. 4, p. 540, doi. 10.1111/age.13455
- By:
- Publication type:
- Article
Allele-specific binding variants causing ChIP-seq peak height of histone modification are not enriched in expression QTL annotations.
- Published in:
- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-024-00916-4
- By:
- Publication type:
- Article
Using expression data to fine map QTL associated with fertility in dairy cattle.
- Published in:
- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-024-00912-8
- By:
- Publication type:
- Article
Using mid-infrared spectroscopy to identify more fertile cows for insemination to sexed semen.
- Published in:
- Animal Production Science, 2024, v. 64, n. 1, p. 1, doi. 10.1071/AN22343
- By:
- Publication type:
- Article
Comparison of methods for deriving phenotypes from incomplete observation data with an application to age at puberty in dairy cattle.
- Published in:
- Journal of Animal Science & Biotechnology, 2023, v. 14, n. 1, p. 1, doi. 10.1186/s40104-023-00921-5
- By:
- Publication type:
- Article
Use of dry-matter intake recorded at multiple time periods during lactation increases the accuracy of genomic prediction for dry-matter intake and residual feed intake in dairy cattle.
- Published in:
- Animal Production Science, 2023, v. 63, n. 10/11, p. 1113, doi. 10.1071/AN23022
- By:
- Publication type:
- Article
Genome-wide assessment and mapping of inbreeding depression identifies candidate genes associated with semen traits in Holstein bulls.
- Published in:
- BMC Genomics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12864-023-09298-1
- By:
- Publication type:
- Article
Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency.
- Published in:
- Genetics Selection Evolution, 2022, v. 54, n. 1, p. 1, doi. 10.1186/s12711-022-00749-z
- By:
- Publication type:
- Article
Estimating Heritabilities and Breeding Values From Censored Phenotypes Using a Data Augmentation Approach.
- Published in:
- Frontiers in Genetics, 2022, v. 13, p. 1, doi. 10.3389/fgene.2022.867152
- By:
- Publication type:
- Article
BayesR3 enables fast MCMC blocked processing for largescale multi-trait genomic prediction and QTN mapping analysis.
- Published in:
- Communications Biology, 2022, v. 5, n. 1, p. 1, doi. 10.1038/s42003-022-03624-1
- By:
- Publication type:
- Article
Improving Genomic Selection for Heat Tolerance in Dairy Cattle: Current Opportunities and Future Directions.
- Published in:
- Frontiers in Genetics, 2022, v. 13, p. 1, doi. 10.3389/fgene.2022.894067
- By:
- Publication type:
- Article
Eating Time as a Genetic Indicator of Methane Emissions and Feed Efficiency in Australian Maternal Composite Sheep.
- Published in:
- Frontiers in Genetics, 2022, v. 13, p. 1, doi. 10.3389/fgene.2022.883520
- By:
- Publication type:
- Article
Impact of hot weather on animal performance and genetic strategies to minimise the effect.
- Published in:
- Animal Production Science, 2022, v. 62, n. 8, p. 726, doi. 10.1071/AN21259
- By:
- Publication type:
- Article
Using mid-infrared spectroscopy to increase GWAS power to detect QTL associated with blood urea nitrogen.
- Published in:
- Genetics Selection Evolution, 2022, v. 54, n. 1, p. 1, doi. 10.1186/s12711-022-00719-5
- By:
- Publication type:
- Article
Functionally prioritised whole-genome sequence variants improve the accuracy of genomic prediction for heat tolerance.
- Published in:
- Genetics Selection Evolution, 2022, v. 54, n. 1, p. 1, doi. 10.1186/s12711-022-00708-8
- By:
- Publication type:
- Article
GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle.
- Published in:
- Genetics Selection Evolution, 2022, v. 54, n. 1, p. 1, doi. 10.1186/s12711-022-00707-9
- By:
- Publication type:
- Article
Genetic parameters of blood urea nitrogen and milk urea nitrogen concentration in dairy cattle managed in pasture-based production systems of New Zealand and Australia.
- Published in:
- Animal Production Science, 2021, v. 61, n. 17/18, p. 1801, doi. 10.1071/AN21049
- By:
- Publication type:
- Article
Impact of a multiple-test strategy on breeding index development for the Australian dairy industry.
- Published in:
- Animal Production Science, 2021, v. 61, n. 17/18, p. 1940, doi. 10.1071/AN21058
- By:
- Publication type:
- Article
New loci and neuronal pathways for resilience to heat stress in cattle.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-95816-8
- By:
- Publication type:
- Article
Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle.
- Published in:
- Genetics Selection Evolution, 2021, v. 53, n. 1, p. 1, doi. 10.1186/s12711-021-00648-9
- By:
- Publication type:
- Article
Validation of Dairy Cow Bodyweight Prediction Using Traits Easily Recorded by Dairy Herd Improvement Organizations and Its Potential Improvement Using Feature Selection Algorithms.
- Published in:
- Animals (2076-2615), 2021, v. 11, n. 5, p. 1288, doi. 10.3390/ani11051288
- By:
- Publication type:
- Article
Multiple Country Approach to Improve the Test-Day Prediction of Dairy Cows' Dry Matter Intake.
- Published in:
- Animals (2076-2615), 2021, v. 11, n. 5, p. 1316, doi. 10.3390/ani11051316
- By:
- Publication type:
- Article
Measurement of Enteric Methane Emissions by the SF 6 Technique Is Not Affected by Ambient Weather Conditions.
- Published in:
- Animals (2076-2615), 2021, v. 11, n. 2, p. 528, doi. 10.3390/ani11020528
- By:
- Publication type:
- Article
Investigating the Effect of Imputed Structural Variants from Whole-Genome Sequence on Genome-Wide Association and Genomic Prediction in Dairy Cattle.
- Published in:
- Animals (2076-2615), 2021, v. 11, n. 2, p. 541, doi. 10.3390/ani11020541
- By:
- Publication type:
- Article
Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle.
- Published in:
- Frontiers in Genetics, 2020, v. 11, p. N.PAG, doi. 10.3389/fgene.2020.598580
- By:
- Publication type:
- Article
A Tale of Two Biomarkers: Untargeted 1H NMR Metabolomic Fingerprinting of BHBA and NEFA in Early Lactation Dairy Cows.
- Published in:
- Metabolites (2218-1989), 2020, v. 10, n. 6, p. 247, doi. 10.3390/metabo10060247
- By:
- Publication type:
- Article
Use of Large and Diverse Datasets for 1H NMR Serum Metabolic Profiling of Early Lactation Dairy Cows.
- Published in:
- Metabolites (2218-1989), 2020, v. 10, n. 5, p. 180, doi. 10.3390/metabo10050180
- By:
- Publication type:
- Article
The future of phenomics in dairy cattle breeding.
- Published in:
- Animal Frontiers, 2020, v. 10, n. 2, p. 37, doi. 10.1093/af/vfaa007
- By:
- Publication type:
- Article
Author Correction: Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattle.
- Published in:
- 2020
- By:
- Publication type:
- Correction Notice
Fine-mapping sequence mutations with a major effect on oligosaccharide content in bovine milk.
- Published in:
- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-019-38488-9
- By:
- Publication type:
- Article
Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattle.
- Published in:
- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-018-36673-w
- By:
- Publication type:
- Article
Comparing allele specific expression and local expression quantitative trait loci and the influence of gene expression on complex trait variation in cattle.
- Published in:
- BMC Genomics, 2018, v. 19, n. 1, p. 1, doi. 10.1186/s12864-018-5181-0
- By:
- Publication type:
- Article
Putative bovine topological association domains and CTCF binding motifs can reduce the search space for causative regulatory variants of complex traits.
- Published in:
- BMC Genomics, 2018, v. 19, n. 1, p. 1, doi. 10.1186/s12864-018-4800-0
- By:
- Publication type:
- Article
Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping.
- Published in:
- BMC Genomics, 2017, v. 18, p. 1, doi. 10.1186/s12864-017-4030-x
- By:
- Publication type:
- Article
Putative enhancer sites in the bovine genome are enriched with variants affecting complex traits.
- Published in:
- Genetics Selection Evolution, 2017, v. 49, p. 1, doi. 10.1186/s12711-017-0331-4
- By:
- Publication type:
- Article
The impact of genetic selection on greenhouse-gas emissions in Australian dairy cattle.
- Published in:
- Animal Production Science, 2017, v. 57, n. 7, p. 1451, doi. 10.1071/AN16510
- By:
- Publication type:
- Article
A practical future-scenarios selection tool to breed for heat tolerance in Australian dairy cattle.
- Published in:
- Animal Production Science, 2017, v. 57, n. 7, p. 1488, doi. 10.1071/AN16449
- By:
- Publication type:
- Article
Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions.
- Published in:
- Animal Production Science, 2016, v. 56, n. 7, p. 1017, doi. 10.1071/AN15222
- By:
- Publication type:
- Article
Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits.
- Published in:
- Genetics Selection Evolution, 2016, v. 48, p. 1, doi. 10.1186/s12711-016-0186-0
- By:
- Publication type:
- Article
Rare Variants in Transcript and Potential Regulatory Regions Explain a Small Percentage of the Missing Heritability of Complex Traits in Cattle.
- Published in:
- PLoS ONE, 2015, v. 10, n. 12, p. 1, doi. 10.1371/journal.pone.0143945
- By:
- Publication type:
- Article
Investigation of regions impacting inbreeding depression and their association with the additive genetic effect for United States and Australia Jersey dairy cattle.
- Published in:
- BMC Genomics, 2015, v. 16, p. 1, doi. 10.1186/s12864-015-2001-7
- By:
- Publication type:
- Article
Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows.
- Published in:
- BMC Genetics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12863-015-0241-9
- By:
- Publication type:
- Article
Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows.
- Published in:
- BMC Genetics, 2015, v. 16, n. 1, p. 89, doi. 10.1186/s12863-015-0241-9
- By:
- Publication type:
- Article
Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations.
- Published in:
- BMC Genomics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12864-015-1352-4
- By:
- Publication type:
- Article
Non-additive genetic variation in growth, carcass and fertility traits of beef cattle.
- Published in:
- Genetics Selection Evolution, 2015, v. 47, p. 1, doi. 10.1186/s12711-015-0114-8
- By:
- Publication type:
- Article
Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations.
- Published in:
- BMC Genomics, 2015, v. 16, n. 1, p. 187, doi. 10.1186/s12864-015-1352-4
- By:
- Publication type:
- Article
Identification of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle.
- Published in:
- Genetics Selection Evolution, 2014, v. 46, p. 1, doi. 10.1186/s12711-014-0071-7
- By:
- Publication type:
- Article
Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk composition.
- Published in:
- Genetics Selection Evolution, 2014, v. 46, p. 1, doi. 10.1186/1297-9686-46-29
- By:
- Publication type:
- Article
Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk composition.
- Published in:
- Genetics Selection Evolution, 2014, v. 46, p. 1, doi. 10.1186/1297-9686-46-29
- By:
- Publication type:
- Article
A Multi-Trait, Meta-analysis for Detecting Pleiotropic Polymorphisms for Stature, Fatness and Reproduction in Beef Cattle.
- Published in:
- PLoS Genetics, 2014, v. 10, n. 3, p. 1, doi. 10.1371/journal.pgen.1004198
- By:
- Publication type:
- Article