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ARS Home » Plains Area » Clay Center, Nebraska » U.S. Meat Animal Research Center » Genetics and Animal Breeding » Research » Research Project #443152
Research Project: Multi-Dimension Phenotyping to Enhance Prediction of Performance in Swine

Location: Genetics and Animal Breeding

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Online feeding behavior monitoring of individual group-housed grow-finish pigs using a low-frequency RFID electronic feeding system - (Peer Reviewed Journal)

Determining the presence and size of shoulder lesions in sows using computer vision Reprint Icon - (Peer Reviewed Journal)
Bery, S., Brown-Brandl, T.M., Jones, B.T., Rohrer, G.A., Sharma, S.R. 2023. Determining the presence and size of shoulder lesions in sows using computer vision. Animals. 14(1). Article 131. https://doi.org/10.3390/ani14010131.

Statistical and machine learning approaches to describe factors affecting pre-weaning mortality of piglets - (Peer Reviewed Journal)

Estimation of cell type proportions from bulk RNA-Seq of porcine whole blood samples using partial reference-free deconvolution Reprint Icon - (Peer Reviewed Journal)
Keel, B.N., Lindholm-Perry, A.K., Rohrer, G.A., Oliver, W.T. 2023. Estimation of cell type proportions from bulk RNA-Seq of porcine whole blood samples using partial reference-free deconvolution. Animal Gene. 30. Article 200159. https://doi.org/10.1016/j.angen.2023.200159.

Identifying early-life behavior to predict mothering ability in swine utilizing NUtrack system Reprint Icon - (Peer Reviewed Journal)
Millburn, S., Schmidt, T., Rohrer, G.A., Mote, B. 2023. Identifying early-life behavior to predict mothering ability in swine utilizing NUtrack system. Animals. 13(18). Article 2897. https://doi.org/10.3390/ani13182897.

Methods to predict lameness in sows - (Abstract Only)