Data

Beef Cattle Genomics

The University of Queensland
Emeritus Professor Stephen Moore (Aggregated by) Emeritus Professor Stephen Moore (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/8462192&rft.title=Beef Cattle Genomics&rft.identifier=10.48610/8462192&rft.publisher=The University of Queensland&rft.description=This is a repository for beef cattle genomics data. It includes a collection of sequence data from QAAFI's Centre for Animal Science (CAS) genomics research. Increasing the rate of genetic gain of breeding programs in beef cattle is a key component of maintaining a viable competitive beef cattle industry. Advances in the field of DNA sequencing has enabled experiments that link the whole or transcribed genome of livestock to phenotypic differences between animals. We will aim to utilise this new technology to address a key problem in northern Australian beef production systems. The lower reproductive efficiency of Brahman and other Bos indicus-influenced beef breeds that predominate in Queensland is in part genetically determined. The selection of herd bulls that will sire female herd replacements with high fertility is therefore a crucial strategy to lift the productivity of Queensland beef herds. We are embarking on a series of experiments that looks at the transcribed regions of the genome which will identify genes that are linked to differences in fertility of beef cattle. Such experiments generate large amounts of sequence data . Sequencing data.&rft.creator=Emeritus Professor Stephen Moore&rft.creator=Emeritus Professor Stephen Moore&rft.date=2014&rft_rights=2023, The University of Queensland&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Beef cattle&rft_subject=Genomics&rft_subject=Bos indicus cattle&rft_subject=Sequencing data&rft_subject=Animal breeding&rft_subject=Animal Breeding&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=ANIMAL PRODUCTION&rft_subject=Animal Reproduction&rft_subject=Genomics&rft_subject=BIOLOGICAL SCIENCES&rft_subject=GENETICS&rft_subject=Gene Expression (incl. Microarray and other genome-wide approaches)&rft.type=dataset&rft.language=English Access the data
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s.moore3@uq.edu.au

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This is a repository for beef cattle genomics data. It includes a collection of sequence data from QAAFI's Centre for Animal Science (CAS) genomics research. Increasing the rate of genetic gain of breeding programs in beef cattle is a key component of maintaining a viable competitive beef cattle industry. Advances in the field of DNA sequencing has enabled experiments that link the whole or transcribed genome of livestock to phenotypic differences between animals. We will aim to utilise this new technology to address a key problem in northern Australian beef production systems. The lower reproductive efficiency of Brahman and other Bos indicus-influenced beef breeds that predominate in Queensland is in part genetically determined. The selection of herd bulls that will sire female herd replacements with high fertility is therefore a crucial strategy to lift the productivity of Queensland beef herds. We are embarking on a series of experiments that looks at the transcribed regions of the genome which will identify genes that are linked to differences in fertility of beef cattle. Such experiments generate large amounts of sequence data . Sequencing data.

Issued: 2014

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Subjects
Agricultural and Veterinary Sciences | Animal Production | Animal Breeding | Animal Reproduction | Animal breeding | Biological Sciences | Beef cattle | Bos indicus cattle | Genetics | Gene Expression (Incl. Microarray and Other Genome-Wide Approaches) | Genomics | Genomics | Sequencing data | eng |

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Genomic analyses of tropical beef cattle fertility based on genotyping pools of brahman cows with unknown pedigree

local : UQ:399622

Reverter, A., Porto-Neto, L. R., Fortes, M. R. S., McCulloch, R., Lyons, R. E., Moore, S., Nicol, D., Henshall, J. and Lehnert, S. A. (2016). Genomic analyses of tropical beef cattle fertility based on genotyping pools of brahman cows with unknown pedigree. Journal of Animal Science, 94 (10), 4096-4108. doi: 10.2527/jas.2016-0675

Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes

local : UQ:388205

Lu, D., Akanno, E. C., Crowley, J. J., Schenkel, F., Li, H., De Pauw, M., Moore, S. S., Wang, Z., Li, C., Stothard, P., Plastow, G., Miller, S. P. and Basarab, J. A. (2016). Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes. Journal of Animal Science, 94 (4), 1342-1353. doi: 10.2527/jas.2015-0126

The development and application of genomics in Australian tropically adapted cattle

local : UQ:379321

Moore, Stephen S. and Kelly, Matthew (2014). The development and application of genomics in Australian tropically adapted cattle. V International Symposium and IX Meeting of Genetics and Breeding, Universidade Federal de Vicosa, 6-8 November 2014. Brazil: SIGM.

Accuracy of genomic selection for age at puberty in a multi-breed population of tropically adapted beef cattle

local : UQ:378272

Farah, M. M., Swan, A. A., Fortes, M. R. S., Fonseca, R., Moore, S. S. and Kelly, M. J. (2016). Accuracy of genomic selection for age at puberty in a multi-breed population of tropically adapted beef cattle. Animal Genetics, 47 (1), 3-11. doi: 10.1111/age.12362

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local : UQ:289097

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local : UQ:5d1d4fb

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