Publications

Selected Peer-Reviewed Articlesexpand_more

Ferreira, R. E. P., T. Bresolin, G. J. M. Rosa, J. R. R. Dorea. 2022. Using dorsal surface for individual identification of dairy calves through 3D deep learning algorithms. Computer and Electronics in Agriculture. 201:107272.

Bresolin, T., R. E. P. Ferreira, F. Reyes, J. Van Os, J. R. R. Dorea. 2022. Feeding behavior of dairy heifers monitored through computer vision systems. Journal of Dairy Science. 106 (1), 664-675.

Perttu, R. K., M. Peiter, T. Bresolin, J. R. R. Dorea, M. I. Endres. 2022. Feeding behaviors collected from automated milk feeders were associated with disease in group-housed dairy calves in the Upper Midwest. Journal of Dairy Science. https://doi.org/10.3168/jds.2022-22043

Caffarini, J. G., T. Bresolin, T., and J. R. R. Dorea. 2022. Predicting ribeye area and circularity in live calves through 3d image analyses of body surface. Journal of Animal Science, skac242. https://doi.org/10.1093/jas/skac24

Reyes, F. S., A. R. Gimenez, K. M. Anderson, E. K. Miller-Cushon, J. R. R. Dorea and Jennifer M. C. Van Os. 2022.Impact of Stationary Brush Quantity on Brush Use in Group- Housed Dairy Heifers. Animals, 12, 972. https://doi.org/10.3390/ani12080972

Teixeira, V. A., A. M. Q. Lana, T. Bresolin, T. R. Tomich, G. M. Souza, J. Furlong, J. P. P. Rodrigues, S. G. Coelho, L. C. Gonçalves J. A. G. Silveira, L. D. Ferreira, E. J. Facury Filho, M. M. Campos, J. R. R. Dorea. 2021. Using activity and rumination data for early detection of anaplasmosis disease in dairy heifer calves. Journal of Dairy Science. 105 (5), 4421-4433.

Letelier, P., G. I. Zanton, J. R. R. Dorea, and M. A. Wattiaux. 2021. Plasma essential amino acid concentration and profile are associated with performance of lactating dairy cows as revealed through meta-analysis and hierarchical clustering. Journal of Dairy Science. 105 (6), 5044-5061.

Oliveira, D. B. O., L. G. R. Pereira, T. Bresolin, R. E. P. Ferreira, J. R. R. Dorea. 2021. A Review of Deep Learning Algorithms for Computer Vision Systems in Livestock. Livestock Science, 253, 1:15.

Ribeiro, L. C., T. Bresolin, D. R. Casagrande, G. J. M. Rosa, M. A. C. Danes, J. R. R. Dorea. 2021. Disentangling data dependency using cross-validation strategies to evaluate prediction quality of cattle grazing activities using machine learning algorithms and wearable sensor data. Journal of Animal Science, 99:1-8.

Martin, M.J., Dorea, J.R.R., Borchers, M.R., Wallace, R.L., Bertics, S.J., DeNise, S.K., Weigel, K.A., White, H.M. Comparison of methods to predict feed intake and residual feed intake using behavioral and metabolite data in addition to classical performance variables. J. Dairy Sci. 2021, 104.

Silvi, R. L. G. R. Pereira, C. A. V. Paiva, T. R. Tomich, V. A. Teixeira, J. P. Sacramento, R. E. P. Ferreira, S. G. Coelho, F. S. Machado, M. M. Campos, J. R. R. Dorea. 2021. Adoption of Precision Technologies by Brazilian Dairy Farms: The Farmer’s Perception. Animals, 11:1-12.

Bresolin T., J. R. R. Dorea. 2020. Infrared Spectroscopy as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems. Frontiers in Genetics, 11-2:20. https://doi.org/10.3389/fgene.2020.00923

Cairo F, Pereira L, Campos M, Tomich T, Coelho S, Lage C, Fonseca A, Borges A, Alves B, J. R. R. Dorea. 2020. Applying machine learning techniques on feeding behavior data for early estrus detection in dairy heifers. Computers and Electronics in Agriculture, 179:105855. doi: 10.1016/j.compag.2020.105855.

Fernandes, A. F. A., J. R. R. Dorea, G. J. M. Rosa. 2020. Image Analysis and Computer Vision Applications in Animal Sciences: An Overview. Frontiers in Veterinary Science, 11-2:20. Front. Vet. Sci. http://doi:10.3389/fvets.2020.551269.

Fernandes A, , J. R. R. Dorea. Valente B, Fitzgerald R, Herring W, Rosa G. 2020. Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images. Journal of Animal Science. 2020 August; 98(8). Doi: 10.1093/jas/skaa250.

Aiken V, Fernandes A, Passafaro T, Acedo J, Dias F, J. R. R. Dorea, Rosa G. 2020. Forecasting beef production and quality using large-scale integrated data from Brazil. 2020. Journal of Animal Science. 2020 April; 98(4). doi: 10.1093/jas/skaa089.

Passafaro T, Lopes F, J. R. R. Dorea, Craven M, Breen V, Hawken R, Rosa G. 2020. Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers. 2020. BMC Genomics. 2020 November 09; 21(1). doi: 10.1186/s12864-020-07181-x.

Dorea, J. R. R., V. N. Gouvêa, D. F. A. Costa, A. V. Pires, and F. A. P. Santos. 2020. Interactions between grazing management and a low-level of energy supplementation on intake and metabolism of beef cattle. Journal of Animal Science. 98(6):1-10. https://doi.org/10.1093/jas/skaa163

Costa, D. F. A., P. Correia, J. R. R. Dorea, J. de Souza, G. F. S. Congio, A. V. Pires, P. Malafaia, J. Drouillard, C. T. Dias, A. Luchiari, F. A. P. Santos. 2020. Strategic supplementation for growing cattle on intensively managed tropical pastures improves nutrient metabolism, animal performance and beef production per area during the grazing period and reduces days on feed during the feedlot finishing phase. Animal Production Science. https://doi.org/10.1071/AN20005

Cominotte, A., A. Fernandes, J. R. R. Dorea, G. J. M. Rosa, G. Pereira, M. Ladeira, E. Van Cleef. 2020. Automated computer vision system to predict body weight and average daily gain in beef cattle during growing and finishing phases. Livestock Science, 232: 1-10. https://doi.org/10.1016/j.livsci.2019.103904

Aiken V. C. F., J. R. R. Dorea, J. S. Acedo, F. G. de Sousa, F. G. Dias, G. J. M. Rosa. 2019. Record linkage for farm-level data analytics: Comparison of deterministic, stochastic and machine learning methods. Computers and Electronics in Agriculture, 163: 1-10. https://doi.org/10.1017/S0021859619000728.

Fernandes, A. F. A., J. R. R. Dorea, R. Fitzgerald, W. Herring, G. J. M. Rosa. 2019. A novel automated system to acquire biometric and morphological measurements and predict body weight of pigs via 3D computer vision. Journal of Animal Science, 97:496-508.

Meschiatti, M. A. P., V. N. Gouvêa, L. A. Pellarin, C. D. A. Batalha, M. V. Biehl, T. S. Acedo, J. R. R. Dorea, L. F. M. Tamassia, F. N. Owens, and F. A. P. Santos. 2019. Feeding the combination of essential oils and exogenous α-amylase increases performance and carcass production of finishing beef cattle. Journal of Animal Science. 97:456–471. https:// doi.org/10.1093/jas/sky415.

Gouvêa, V. N., M. Meschiatti, J. Moraes, C. Batalha, J. R. R. Dorea, T. S. Acedo, L. Tamassia, F. Owens, Santos, F. A. P. 2019. Effects of alternative feed additives and flint corn grain particle size on growth performance, carcass traits and nutrient digestibility of finishing beef cattle. The Journal of Agricultural Science, 157(5):456-468.

Selected Book Chaptersexpand_more

Santos, F. A. P., R. S. Marques, and J. R. R. Dórea. 2016. Grain Processing for Beef Cattle. In: Millen D, De Beni Arrigoni M, Lauritano Pacheco R, editors. Rumenology. Cham: Springer; p. 213–241.

Selected Conference Proceedingsexpand_more

Dórea, J. R. R., F. A. P. Santos, and D. M. Shaefer. Grazing supplementation for pastured stocker cattle: meta-analysis. In: 2018 Driftless Region Beef Conference, 2018, Dubuque, IA, USA.

Santos, F. A. P., J. R. R. Dórea, J. de Souza, F. Batistel, and D. F. A. Costa. Forage Management and Methods to Improve Nutrient Intake in Grazing Cattle. In: 25th Annual Ruminant Nutrition Symposium, 2014, Gainesville, FL, USA. Ruminant Nutrition Symposium, 2014. p. 144-163.

Dorea, J. R. R. Artificial intelligence for livestock systems. 2022. J. Dairy Sci. Vol. 105, Suppl. 1.

Bresolin, T., A. Wick-Lambert, R. E.P. Ferreira, A. Vang, D. Oliveira, G. Rosa, L. Hernandez, and J. R. R. Dorea. 2022. Phenotyping udder and mammary gland of dairy cows using computer vision systems. J. Dairy Sci. Vol. 105, Suppl. 1.

Ferreira, R. E. P., T. Bresolin, H. T. Holdorf, H. M. White, and J. R.R. Dorea. 2022. Integrating animal-level data for early detection of subclinical ketosis in dairy cows using machine learning algorithms. J. Dairy Sci. Vol. 105, Suppl. 1.

Dado-Senn, B., V. Ouellet, V. Lantigua, J. Van Os, J. R. R. Dorea, and J. Laporta. Heat stress detection and prevention in Midwestern outdoor hutch-housed dairy calves. 2022. J. Dairy Sci. Vol. 105, Suppl. 1.

Negreiro, A., T. Bresolin, R. Ferreira, S. I. Arriola Apelo, and J. R. R. Dorea. 2022. Leveraging computer vision systems to better understand feeding behavior patterns in dairy cows. J. Dairy Sci. Vol. 105, Suppl. 1.

Ferreira, R. E. P., J. C. F. Silva, and J. R. R. Dorea. 2022. Using computer vision and mixed reality to detect compliance with standard milking procedures in real time. J. Dairy Sci. Vol. 105, Suppl. 1.

Silva, J. C. F., R. E. P. Ferreira, J. R. R. Dorea. 2022. Using computer vision for animal identification in dairy barns using isometric view images. J. Dairy Sci. Vol. 105, Suppl. 1.

Perttu, R., M. Peiter1, T. Bresolin2, J. R. R. Dorea, and M. Endres. 2022.The associations between feeding behaviors collected from automatic milk feeders and disease in group-housed preweaned dairy calves. J. Dairy Sci. Vol. 105, Suppl. 1.

Caffarini, J., T. Bresolin, and J. R. R. Dorea. 2022. Predicting ribeye area and shape of live calves through 3-dimensional image analyses of body surface. J. Dairy Sci. Vol. 105, Suppl. 1.

Holdorf, H. T., K. E. Ruh, S. J. Erb, S. J. Henisz, G. J. Combs, T. Bresolin, R. E. P. Ferreira, W. E. Brown, S. M. Edwards, J. C. Rule, F. P. Zhou, M. J. Martin, K. E. Estes, J. R. R. Dorea, H. M. White. 2022. Increasing dose of prepartum rumen-protected choline: Effects on energy and nitrogen metabolism in Holstein dairy cows. J. Dairy Sci. Vol. 105, Suppl. 1.

Pereira, L. G. R., R. R. Silvi, C. A. V. Paiva, T. R. Tomich, M. M. Campos, F. S. Machado, and J. R. R. Dorea. 2022. Adoption of automatic milk systems by Brazilian dairy farms. J. Dairy Sci. Vol. 105, Suppl. 1.

Souza, G. M., M. A. C. Danés, V. A. Teixeira, T. Bresolin, T. R. Tomich, J. P. P. Rodrigues, S. G. Coelho, J. E. F. Filho, M. M. Campos, L. G. R. Pereira, and J. R. R. Dorea. 2022. Anaplasmosis prediction using microchip with a thermal sensor or clinical rectal thermometer. J. Dairy Sci. Vol. 105, Suppl. 1.

Negreiro, A., T. Bresolin, R. Ferreira, B. Dado-Senn, J. Laporta, J. Van Os, and J. R. R. Dorea. 2022. Monitoring heat stress behavior in dairy calves through computer vision systems. J. Dairy Sci. Vol. 105, Suppl. 1.

Ribeiro, L. A. C., T. Bresolin, S. I. A. Apelo, and J. R. R. Dorea. 2022. Using Fourier-transform infrared spectroscopy to predict urinary allantoin and creatinine from urine and milk samples. J. Dairy Sci. Vol. 105, Suppl. 1.

Dorea, J. R. R. and G. J. M. Rosa. 2022. Computer vision systems to advance high-throughput phenotyping in livestock. World Congress on Genetics Applied to Livestock Production. Rotterdam, Netherlands.

Moreira, L. C., T. Bresolin, J. R. R. Dorea, G. J. M. Rosa. Estimating Body Condition Score of Dairy Cows from Color Depth Images Using a Mobile Device.

Bresolin, T., R. E. P. Ferreira. 2022. Effect of Camera Exposure Time on Image Segmentation and Body Weight Prediction. Journal of Animal Science https://doi.org/10.1093/jas/skac247.586

Menezes, G. L. Oliveira, A. L. Gonçalves, L. Ferraretto, J. R. R. Dorea, D. Jayme. 2022. Efficacy of Formic Acid as a Silage Preservative on Dairy Cattle Performance. Journal of Animal Science. https://doi.org/10.1093/jas/skac247.692

Freitas, L., R. E. P. Ferreira, R. Savegnago, J. R R. Dorea, G. J. M. Rosa, C. Paz. 2022. Computer Vision System to Predict Famacha© Degree in Sheep from Ocular Conjunctiva Images. Journal of Animal Science. https://doi.org/10.1093/jas/skac247.452