Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-43031-x.pdf
Reference64 articles.
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3. Jiao, S., Maltecca, C., Gray, K. A. & Cassady, J. P. Feed intake, average daily gain, feed efficiency, and real-time ultrasound traits in duroc pigs: I. genetic parameter estimation and accuracy of genomic prediction. J. Anim. Sci. 92, 2377–2386, https://doi.org/10.2527/jas.2013-7338 (2014).
4. Jiao, S., Maltecca, C., Gray, K. A. & Cassady, J. P. Feed intake, average daily gain, feed efficiency, and real-time ultrasound traits in duroc pigs: Ii. genomewide association. J. Anim. Sci. 92, 2846–2860, https://doi.org/10.2527/jas.2014-7337 (2014).
5. Howard, J. T. et al. Genome-wide association study on legendre random regression coefficients for the growth and feed intake trajectory on duroc boars. BMC Genet. 16, 59, https://doi.org/10.1186/s12863-015-0218-8 (2015).
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