PUBLICATIONS

Lutevele, N, K Orsel, M King; E Pajor, M C Ceballos. 2025. Western Canadian cow-calf producers’ perspectives about cattle welfare, handling, and training in cattle handling: A thematic analysis. Research in Veterinary Science. 188:105606. https://doi.org/10.1016/j.rvsc.2025.105606

Scott, A, A Le Heiget, R Stefanson, J. Ahloy-Dallaire, and M King. 2024. Burlap and buddies: The effects of pre-weaning mixing and object enrichment (burlap) on piglet performance, behavior, and welfare in the post-weaning environment. Translational Animal Science.  8:txae057. https://doi.org/10.1093/tas/txae057

Scott, A, A Le Heiget, R Stefanson, J. Ahloy-Dallaire, and M King. 2024. Burlap and buddies: The effects of pre-weaning mixing and object enrichment (burlap) on piglet performance, behavior, and welfare in the pre-weaning environment. Translational Animal Science. 8:txae053. https://doi.org/10.1093/tas/txae053

Ritter, C, and M King. 2023. One Welfare: The role of veterinary professionals. Canadian Veterinary Journal. 64(8): 784–786. PMC10352033.

King, MTM, J Giacinti, S Dubois, J Parmley, and C Jardine. 2023. Sources of morbidity and mortality impacting the health and welfare of free-living wild animals in Canada. Journal of Wildlife Diseases. 59: 93-108. https://doi.org/10.7589/JWD-D-21-00178

Sherren, K, J Hodbod, M MathisonSlee, E Chappell, and M King. 2022. Adaptive grazing in Canada: uptake, management, motivations, and well-being. Renewable Agriculture and Food Systems. 46:1204:1329. https://doi.org/10.1080/21683565.2022.2107597

Naqvi, SA, MTM King, RD Matson, TJ DeVries, R Deardon, and HW Barkema. 2022. Data considerations for developing deep learning models for dairy applications: a simulation study on mastitis detection. Computers and Electronics in Agriculture. 192:106895. https://doi.org/10.1016/j.compag.2021.106618

Naqvi, SA, MTM King, RD Matson, TJ DeVries, R Deardon, and HW Barkema. 2022. Mastitis detection with recurrent neural networks in farms using automated milking systems. Computers and Electronics in Agriculture. 192:106618. https://doi.org/10.1016/j.compag.2021.106618

Matson, RD; MTM King; TF Duffield; DE Santschi; K Orsel; EA Pajor; GB Penner; T Mutsvangwa; and TJ DeVries. 2021. Farm-level factors associated with lameness prevalence, productivity, and milk quality in farms with automated milking systems. Journal of Dairy Science. 105:793-806. https://doi.org/10.3168/jds.2021-20618

Matson, RD; MTM King; TF Duffield; DE Santschi; K Orsel; EA Pajor; GB Penner; T Mutsvangwa; and TJ DeVries. 2021. Benchmarking of farms with automated milking systems in Canada and associations with milk production and quality. Journal of Dairy Science. 104:7971-7983. https://doi.org/10.3168/jds.2020-20065

King, MTM; RD Matson; and TJ DeVries 2021. Connecting farmer mental health with cow health and welfare on dairy farms using robotic milking systems. Animal Welfare. 30:25-38. https://doi.org/10.7120/09627286.30.1.025

Padua, FD; MTM King; and TJ DeVries. 2020. Translactational associations of dry off management, milking activity, and somatic cell count in herds with automated milking systems. Canadian Journal of Animal Science. 01(2): 400-404. https://doi.org/10.1139/CJAS-2020-0066

Moore, SM; MTM King; AJ Carpenter; and TJ DeVries. 2020. Behavior, health, and productivity of early-lactation dairy cows supplemented with molasses in automated milking systems. Journal of Dairy Science. 103:10506-10518. https://doi.org/10.3168/jds.2020-18649

King, MTM; TF Duffield; and TJ DeVries 2019. Short communication: Assessing the accuracy of inline milk fat-to-protein ratio data as an indicator of hyperketonemia in dairy cows in herds with automated milking systems. Journal of Dairy Science. 102:8417-8422. https://doi.org/10.3168/jds.2018-16070

King, MTM; KJ Sparkman; SJ LeBlanc; and TJ DeVries. 2018. Milk yield relative to supplement intake and rumination time differs by health status for fresh cows milked with automated systems. Journal of Dairy Science. 101:10168-10176. https://doi.org/10.3168/jds.2018-14671

King, MTM; and TJ DeVries. 2018. Review: Detecting health disorders using data from automatic milking systems and associated technologies. Journal of Dairy Science. 101:8605-8614. https://doi.org/10.3168/jds.2018-14521

King, MTM; SJ LeBlanc; EA Pajor; TC Wright; and TJ DeVries. 2018. Behavior and productivity of cows milked in automated systems prior to diagnosis of health disorders in early lactation. Journal of Dairy Science. 101:4343-4356. https://doi.org/10.3168/jds.2017-13686

King, MTM; KM Dancy; SJ LeBlanc; EA Pajor; and TJ DeVries. 2017. Deviations in behavior and productivity data prior to diagnosis of health disorders in cows milked with an automated system. Journal of Dairy Science. 100:8358-8371. https://doi.org/10.3168/jds.2017-12723

King, MTM; SJ LeBlanc; EA Pajor; and TJ DeVries. 2017. Cow-level associations of lameness, behavior, and milk yield of cows milked in automated systems. Journal of Dairy Science. 100:4818-4828. https://doi.org/10.3168/jds.2016-12281

King, MTM; EA Pajor; SJ LeBlanc; and TJ DeVries. 2016. Associations of herd-level housing, management, and lameness prevalence with productivity and cow behavior in herds with automated milking systems. Journal of Dairy Science. 99:9069-9079. https://doi.org/10.3168/jds.2016-11329

King, MTM; RE Crossley; and TJ DeVries. 2016. Behavioral synchronization of dairy cows does not reduce the efficacy of mixed treatment experimental designs. Frontiers in Veterinary Science. 3:98. https://doi.org/10.3389/fvets.2016

King, MTM; RE Crossley; and TJ DeVries. 2016. Timing of feed delivery and the behavior and productivity of lactating dairy cows. Journal of Dairy Science. 99:1471–1482. https://doi.org/10.3168/jds.2015-9790.3