The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation
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Citations
Cites
Food Security: The Challenge of Feeding 9 Billion People
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., & Toulmin, C. (2010) · Science · doi:10.1126/science.1185383 · Cited by 11,943
Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
Meuwissen, T. H. E., Hayes, B. J., & Goddard, M. E. (2001) · Genetics · doi:10.1093/genetics/157.4.1819 · Cited by 7,917
Self-citationDarwin, C., Burndy Library, Darwin, C., Edmonds & Remnants, & Henry Sotheran Ltd. (1859) · J. Murray eBooks · doi:10.5962/bhl.title.59991 · Cited by 6,984
Darwin, C. (1859) · J. Murray eBooks · doi:10.5962/bhl.title.68064 · Cited by 4,601
Metagenomic discovery of biomass-degrading genes and genomes from cow rumen
Hess, M., Sczyrba, A., Egan, R., Kim, T.-W., Chokhawala, H., Schroth, G., Luo, S., Clark, D. S., Chen, F., Zhang, T., et al. (2011) · Science · doi:10.1126/science.1200387 · Cited by 1,319
Benson, A. K., Kelly, S. A., Legge, R., Ma, F., Low, S. J., Kim, J., Zhang, M., Oh, P. L., Nehrenberg, D., Hua, K., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007028107 · Cited by 1,314
Extension of the bayesian alphabet for genomic selection
Habier, D., Fernando, R. L., Kizilkaya, K., & Garrick, D. J. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-186 · Cited by 1,224
Genomic selection: prediction of accuracy and maximisation of long term response
Goddard, M. (2009) · Genetica · doi:10.1007/s10709-008-9308-0 · Cited by 1,089
Self-citationWhole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding
de los Campos, G., Hickey, J. M., Pong-Wong, R., Daetwyler, H. D., & Calus, M. P. L. (2013) · Genetics · doi:10.1534/genetics.112.143313 · Cited by 893
Strategy for applying genome‐wide selection in dairy cattle
Schaeffer, L. R. (2006) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.2006.00595.x · Cited by 861
Cited by
Epistasis and quantitative traits: using model organisms to study gene–gene interactions
Mackay, T. F. C. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3627 · Cited by 833
Climate Change and Livestock Production: A Literature Review
Cheng, M., McCarl, B., & Fei, C. (2022) · Atmosphere · doi:10.3390/atmos13010140 · Cited by 420
The rumen microbial metagenome associated with high methane production in cattle
Wallace, R. J., Rooke, J. A., McKain, N., Duthie, C.-A., Hyslop, J. J., Ross, D. W., Waterhouse, A., Watson, M., & Roehe, R. (2015) · BMC Genomics · doi:10.1186/s12864-015-2032-0 · Cited by 416
- Invited Review - African Indigenous Cattle: Unique Genetic Resources in a Rapidly Changing World
Mwai, O., Hanotte, O., Kwon, Y.-J., & Cho, S. (2015) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.15.0002r · Cited by 300
On the History of Cattle Genetic Resources
Felius, M., Beerling, M.-L., Buchanan, D., Theunissen, B., Koolmees, P., & Lenstra, J. (2014) · Diversity · doi:10.3390/d6040705 · Cited by 176
Metadata
- Authors
- Hayes, B. J., Lewin, H. A., & Goddard, M. E.
- Venue
- Trends in Genetics
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 29
- Issue
- 4
- Pages
- 206-214
- ISSN
- 0168-9525 (ISSN-L)
- OpenAlex
- W2046809543
- Cited by
- 377
- References
- 68
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation. https://app.cochat.ai/papers/10.1016/j.tig.2012.11.009
- The paper
- Hayes, B. J., Lewin, H. A., & Goddard, M. E. (2013). The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation. Trends in Genetics. https://doi.org/10.1016/j.tig.2012.11.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
