1675 Observatory Dr
434 Animal Sciences
Madison, WI 53706
Dr. Victor E. Cabrera is a professor and extension specialist in dairy management at the University of Wisconsin-Madison Dairy Science Department. Dr. Cabrera combines applied research, interdisciplinary approaches, and participatory methods to deliver practical, user-friendly, and scholarly decision support tools for dairy farm management. These scientific tools are aimed to improve dairy farm profitability, environmental stewardship, and long-term sustainability of the dairy farm industry. During his career, Dr. Cabrera has developed more than 40 decision support tools, published 80 refereed articles, 10 book chapters, presented in more than 100 scientific sessions, and given talks in more than 400 extension meetings in Wisconsin, other States, and several other countries. Dr. Cabrera’s work in the past 12 years has been pivotal to attract more than $5.0 million to support his research and extension initiatives. Dr. Cabrera has been distinguished with the American Dairy Science Association. DeLaval Dairy Extension Award, University of Wisconsin-Madison Vilas Faculty Mid-Career Investigator Award, Second Mile Extension award of the Wisconsin Association of County Agricultural Agents, the Pound Extension Award, the Alfred Toepfer Faculty Fellow Award from the University of Wisconsin College of Agriculture and Life Sciences, the Distinguished Achievement Award from the University of Florida School of Natural Resources and Environment, and the Foundation Scholar Award in Dairy Production from the American Dairy Science Association.
Selected Peer Reviewed Articles
Hansen, T. L., M. Li, J. Li, C. J. Vankerhove, M. A. Sotirova, J. M. Tricarico, E. Cabrera, E. Kebreab, K. F. Reed. 2021. The Ruminant Farm Systems Animal Module: A Biophysical Description of Animal Management and Industry Applications. Animals 11(5): 1373. https://doi.org/10.3390/ani11051373.
Fadul-Pacheco, L., M. Liou, D. J. Reinemann, and E. Cabrera. 2021. A Preliminary Investigation of Social Network Analysis Applied to Dairy Cow Behavior in Automatic Milking System Environments. Animals 11(5): 1229. https://doi.org/10.3390/ani11051229.
Cabrera, V. E., L. Fadul-Pacheco. (Accepted 27 March 2021). Future of dairy farming from the Dairy Brain perspective: Data integration, analytics, and applications. International Dairy Journal 00:00-00. https://doi.org/10.1016/j.idairyj.2021.105069.
Skevas, T., I. Skevas, and E. Cabrera. (Accepted 22 March 2021). Examining the Relationship Between Social Inefficiency and Financial Performance. Evidence from Wisconsin Dairy Farm. Sustainability 13(7): 3635. https://doi.org/10.3390/su13073635.
Fadul-Pacheco, H. Delgado, and E. Cabrera. 2021. Exploring machine learning algorithms for early prediction of clinical mastitis. International Dairy Journal 119: 105051. https://doi.org/10.1016/j.idairyj.2021.105051.
Cabrera, V. E., and P. M. Fricke. 2021. Economics of twin pregnancies in dairy cattle. Animals 11(2):552. https://doi.org/10.3390/ani11020552.
Li, W., and E. Cabrera.2021. Revealing the Effects of Reproduction and Turnover Rate on Farm Profitability through Herd Structure Dynamics. Appro. Poult. Dairy & Vet Sci 8(1). https://doi.org/10.31031/APDV2020.08.000678.
Skevas, T., I. Skevas, and E. Cabrera. 2021. Farm profitability as a driver of spatial spillovers: The case of somatic cell counts on Wisconsin dairies. Agricultural and Resource Economics Review 00:00-00. https://doi.org/10.1017/age.2020.22.
Skevas, T., W. Thompson, S. Brown, and E. Cabrera.2020. Milk income over feed cost margin, Margin Protection Program, and farm finances for a sample of Wisconsin dairies in 2000-2017. Applied Economic Perspectives and Policy 00:00-00. https://doi.org/10.1002/aepp.13108.
Ouellet, V. P. Grenier, D. E. Santschi, E. Cabrera, L. Fadul-Pacheco, and E. Charbonneau. 2020. Projected economic losses from milk performance detriments under heat stress in Québec dairy herds. Canadian Journal of Animal Science 00:00-00. https://doi.org/10.1139/CJAS-2020-0069.
Skevas, T., and E. Cabrera.2020. Measuring farmers’ dynamic technical and udder health management inefficiency: the case of Wisconsin dairy farms. Journal of Dairy Science 103:12117-12127. https://doi.org/10.3168/jds.2020-18656.
Bellingeri, A., A. Gallo, D. Liang, F. Masoero, and E. Cabrera.2020. Development of a linear programming model for the optimal allocation of nutritional resources in a dairy herd. Journal of Dairy Science 103:10898-10916. https://doi.org/10.3168/JDS.2020-18157.
Ricci, A., M. Li, P. M. Fricke, and V. E. Cabrera. 2020. Short Communication: Economic impact among 7 reproductive programs for lactating dairy cows including a sensitivity analysis of the cost of hormonal treatments. Journal of Dairy Science 103:5654–5661. https://doi.org/10.3168/JDS.2019-17658.
Njuki, E., B. Bravo-Ureta, and E. Cabrera. 2020. Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms. European Review of Agricultural Economics 47:1276-1301. https://doi.org/10.1093/erae/jbz046.
Barrientos, J. A., H. White, R. D. Shaver, and E. Cabrera. 2020. Improving nutritional accuracy and economics through multiple ration-grouping strategies. Journal of Dairy Science 103:3774-3785. https://doi.org/10.3168/JDS.2019-17608.
Selected Book Chapters
Cabrera, V. E. Data-driven decision support tools in dairy herd health. In: Improving dairy herd health. Prof. Emile Bouchard (Ed). Burleigh Dodds Science Publishing, ISBN-13: 978-1786764676.
Fraisse, C. W., N. E. Breuer, and E. Cabrera. 2019. Developing climate-based decision support systems (DSS) from agricultural systems models. In: Advances in crop modelling for sustainable agriculture. Boote, K. (Ed), Burleigh Dodds Series in Agricultural Science, ISBN-13: 978-1786762405.
Overton, M. W., and E. Cabrera. 2017. Monitoring and quantifying value of change in reproductive performance. In: Large Dairy Herd Management Book (http://ldhm.adsa.org). American Dairy Science Association.
Liang, D., and E. Cabrera.2017. Dairy Farm Management Strategies to Reduce Greenhouse Gas Emissions: Mitigation Strategies and Economic Considerations in the US. in: Agricultural Research Updates. Volume 20. Nova Science Publishers, ISBN-20: 978-1-53612-216-9.
Krpálková, L., E. Cabrera, J. Kvapilik, J. Burdych, M. Štipková, P. Crump, L. Stádnik, and M. Vacek. 2014. Optimal growth of heifers and effect of milk yield level on dairy herd production, reproduction, and profitability. LAP LAMBERT Academic Publishing, Saarbrücken, Deutschland, Germany. ISBN: 978-3-659-58200-4.
Cabrera, V. E. DairyMGT: A suite of decision support systems in dairy farm management. IN Decision Support Systems. Jao C. (Ed), INTECH, Rijeka, Croatia. ISBN: 978-953-51-0799-6.
Cabrera, V. E., P. E. Hildebrand. Chapter 7th: Linear programming for dairy herd simulation and optimization: An integrated approach for decision-making. IN Linear programming – New frontiers in theory and applications. Zoltan, A. M. (Ed.), Nova Science Publishers, Inc., Hauppauge, NY. ISBN: 978-1-61209-579-0.
Cabrera, V. E., D. Solís, G. A. Baigorria, and D. Letson. Chapter 7th: Managing climate variability in agricultural analysis. IN: Long, J.A., and D. S. Wells (Eds), Ocean circulation and El Niño: New research, p. 163-179, Nova Science Publishers, Inc., Hauppauge, NY. ISBN: 978-1-60692-084-8.
Hoogenboom, G., C. W. Fraisse, J. W. Jones, K. T. Ingram, J. J. O’Brien, J. G. Bellow, D. Zierden, D. E. Stooksbury, J. O. Paz, A. Garcia y Garcia, L. C. Guerra, D. Letson, N. E. Breuer, E. Cabrera, L. U. Hatch, and C. Roncoli. 2007. Climate-based agricultural risk management tools for Florida, Georgia and Alabama, USA. In: Sivakumar, M. V. K. and J. Hansen (Eds.), Climate Prediction and Agriculture: Advances and Challenges, p. 273-278, Springer, Berlin. ISBN: 978-3-540-44650-7.
Langeveld, J.W.A., A. Crawford, M. Paine, S. Pinheiro, W. de Boef, I. S. Kristensen, J. Hermansen, B. Dedieu, P. E. Hildebrand, E. Cabrera, D. Jansen, and J. Dixon. 2006. Project setup and learning processes in participative systems-oriented research initiatives. In: Langeveld, H., N. Roling (Eds), Changing European farming systems for a better future. New visions for rural areas. p. 89-91, Wageningen Academic Publishers, Wageningen. ISBN: 978-9-086-86002-9.
Selected Conference Proceedings
Fadul-Pacheco, L., S. Wangen and E. Cabrera. 2020. Open discussion of data bottlenecks in the dairy industry: Dairy Brain Coordinated Innovation Network (Virtual- ASAS, July 2020). Journal of Animal Science, Volume 98, Issue Supplement_4, November 2020, Page 133, https://doi.org/10.1093/jas/skaa278.244.
Fadul-Pacheco, L., S. Wangen and E. Cabrera. 2020. Towards better usage of data in dairy farms: The Dairy Brain initiative (Virtual- ASAS, July 2020). Journal of Animal Science, Volume 98, Issue Supplement_4, November 2020, Pages 133–134, https://doi.org/10.1093/jas/skaa278.245.
Li, W., and E. Cabrera. 2020. Revealing the effects of reproduction and turnover rate on farm profitability through herd structure dynamics. American Dairy Science Association Annual Meeting. Journal of Dairy Science 103: (Suppl. 1): 306.
Li, M., E. Cabrera, and K. Reed. 2020. An application of the Ruminant Farm System Model (RuFaS): The use of a combination of sexed and beef semen on dairy herds. Journal of Dairy Science 103: (Suppl. 1): 309.
Li, M., E. Cabrera, and K. Reed. 2020. A time-series analysis of increasing milk productivity and yearly seasonality. Journal of Dairy Science 103: (Suppl. 1): T78.
Fadul-Pacheco, L., H. Delgado and E. Cabrera. 2020. Data Integration and Use of Machine Learning Algorithms to Monitor Individual Cows’ Health. Data Science Research Bazaar, University of Wisconsin – Madison.
Li, M, E. Cabrera, and K. Reed. 2019. Updating Holstein and Jersey lactation curve parameters for the Rumination Farm System Model (RuFaS). Journal of Dairy Science 102: (Suppl. 1): M128.
Li, W., and E. Cabrera. 2019. Interactions among pregnancy rate, turnover ratio, and herd structure. Journal of Dairy Science 102: (Suppl. 1): M131.
Delgado, H., L. Fadul-Pacheco, and E. Cabrera. 2019. The use of integrated data to identify first-lactation cows at high risk of clinical mastitis. Journal of Dairy Science 102: (Suppl. 1): M134.
Fadul-Pacheco, L., H. Delgado, and E. Cabrera. 2019. Machine learning algorithms for early prediction of clinical mastitis. Journal of Dairy Science 102: (Suppl. 1): 94.
Li, M., E. Cabrera, and K. Reed. 2019. A stochastic animal life-cycle simulation model and its herd structure. Journal of Dairy Science 102: (Suppl. 1): 96.
Barrientos-Blanco, J., E. Cabrera, and R. D. Shaver. 2019. Executing a better nutritional grouping strategy in commercial dairy farms. Journal of Dairy Science 102: (Suppl. 1): 98.
Bellingeri, A., A. Gallo, D. Liang, F. Masoero, and E. Cabrera. 2019. Development of a decision support tool for optimal allocation of nutritional resources in a dairy herd. Journal of Dairy Science 102: (Suppl. 1): 100.
Li, W., and E. Cabrera. 2019. Economics of using beef semen. Journal of Dairy Science 102: (Suppl. 1): 102.
Mur-Novales, R., P. M. Fricke, E. Cabrera, J. O. Giordano, M. C. Wiltbank, and J. P. N. Martins. 2019. Effects of parity, season and region on fertility of lactating dairy cows submitted to a Double-Ovsynch protocol for first timed-AI. Journal of Dairy Science 102: (Suppl. 1): W110.
Selected Popular Press Articles
Hallbach, T., E. Cabrera, M. J. Fuenzalida, and L. Seefeldt. Records reveal heat stress losses. Herd management software like Dairy Comp 305 can be used to assess the potential impact of heat stress on your dairy. Hoard’s Dairyman. 25 August 2020. Interview available at: https://www.youtube.com/watch?v=wu_Gyv-6Cvk&feature=youtu.be.
Gunderson, S., and E. Cabrera. 2020. Considerations in Reducing Milk Production: Switching Cows from 3X to 2X Milking. Dairy Extension Resources. UW-Division of Extension.
Fuenzalida, M. J., T. Kohlman, A. Olson, and E. Cabrera.2020. Milk Reduction Strategies Through Early Dry Off. Dairy Extension Resources. UW-Division of Extension.
Reed, K., E. Cabrera, E. Kebreab, K. Panke-Buisse, G.Thoma, J. Tricarico, and P. Vadas. 2020. Next-generation whole-farm dairy sustainability analysis: The Ruminant Farm Systems Model. Progressive Dairy Magazine, 15 July 2020.
Dairy Brain Team. Creating value from data. Hoard’s Dairyman. 10 May 2020.
Dairy Brain Team. Making data work on the farm. Hoard’s Dairyman. 25 April 2020.
Dairy Brain Team. Data: Think big, but start small. Hoard’s Dairyman. 10 April 2020.
Dairy Brain Team. Farming out data-driven decisions. Hoard’s Dairyman. 25 March 2020.
Dairy Brain Team. Help us help you make better use of dairy data. Hoard’s Dairyman. 10 February 2020.
Cabrera, V. E. Um cérebro virtual para gestão da informação recolhida nas explorações. Ruminantes, Abril-Maio-Junho 2019.
Cabrera, V. E. Uso de herramientas de soporte de decisión para mejorar el rendimiento económico de los productores lecheros. Boletín ANEMBE 124, Abril, Mayo, Junio 2019.
Bach, A., L. A. Quintela, E. Cabrera, A. de Prado. 2019.Strategies to improve the economic returns through dry-off management. CEVA- Dry Your Best Technical Publications.
Aguirre-Villegas, H., R. A. Larson, M. D. Ruark, D. Liang, M. Wattiaux, L. Chase, E. Cabrera. 2018. Enteric methane emissions from dairy cows: Accounting techniques. Sustainable Dairy Fact Sheet Series, UW-Extension Learning Store.
Aguirre-Villegas, H., R. A. Larson, M. D. Ruark, D. Liang, M. Wattiaux, L. Chase, E. Cabrera. 2018. Mitigation of enteric methane emissions from dairy cows. Sustainable Dairy Fact Sheet Series, UW-Extension Learning Store.
Cabrera, V. E., and J. O. Giordano. 2017. Vyhodnocení ekonomicke hodnoty př i zme ne řepřodukc ní ho přogřamu konkře tní mle c ne fařmy. Schaumann-úspëch vestáji – Czech.
Selected Computerized Decision Support Tools
Cabrera, V. E., and R. Shaver. Quick assessment for diet formulation. https://dairymgt.info/tools/DietFormulation/index.php?tab=tool
Cabrera, V. E. Bulk tank SCC and milk value. https://dairymgt.info/tools/milk_quality/index.php
Cabrera, V. E. Repro Money Extension program in Wisconsin 2010-2014. https://dairymgt.info/tools/ds/index2.php
Gaspar, N., and E. Cabrera. Economic evaluation of CholiPEARL use on preventing subclinical Ketosis. https://dairymgt.info/tools/eval_choline/index.php
Cabrera, V. E. Characteristics of organic, grazing, and conventional dairy farms in the state of Wisconsin. https://dairymgt.info/tools/ds/index3.php
Cabrera, V. E., and K. A. Weigel. Integrated genomic testing for Jersey heifer calf decision support tool. https://dairymgt.info/oldtools/genomics_last/index.php
Cabrera, V. E., G. Lopes, and W. Li. Premium on beef dairy program. https://dairymgt.info/tools/acc_gen/index.php
Shahinfar, S., A. Kalantari, E. Cabrera, and K. A. Weigel. Retention Pay-Off (RPO) calculator. https://dairymgt.info/tools/rpo_calc/
Cabrera, V. E. Nutritional grouping in Wisconsin and Michigan dairy farms. https://dairymgt.info/tools/ds/index.php
Cabrera, V. E. The economic value of a dairy cow. https://dairymgt.info/tools/cow_value_resp_v2/index.php
Cabrera, V. E., L. Armentano, and R. D. Shaver. FeedVal. https://dairymgt.info/tools/feedval_12_v2/index.php
Cabrera, V. E., and J. O. Giordano. UW-CornellDairyRepro$Plus: A reproductive analysis tool that includes heat detection devices. https://dairymgt.info/oldtools/UWCUDairyRepro/tool1.php
Cabrera, V. E. Dairy reproductive economic analysis. https://dairymgt.info/markov/reader.php
Cabrera, V. E. Grouping strategies for feeding lactating dairy cattle. https://dairymgt.info/tools/grouping_strategy/index.php
Cabrera, V. E. Exploring timing of pregnancy impact on income over feed cost. https://dairymgt.info/tools/pregnancy/
Selected Other Publications
Cabrera, V. E. Developing a Dairy Brain and the economic value of nutritional grouping. 56th Annual Meeting of the Brazilian Society of Animal Science + Formuleite – Brazil. Florianopolis, Brazil. August 2021. (Upcoming).
Cabrera, V. E., and M. Ferris. 2021. Applications of integrated data on dairy farms. Keynote Speakers. The Center for Digital Agriculture at Cornell University. 28 January 2021.
Cabrera, V. E. Developing a Dairy Brain: The Next Big Leap in Dairy Farm Management Using Coordinated Data Ecosystems and Artificial Intelligence. American Society of Agronomy Annual Meeting. 8-11 November 2020.
Cabrera, V. E. Developing a Dairy Brain: The Next Big Leap in Dairy Farm Management Using Coordinated Data Ecosystems and Artificial Intelligence. Keynote speaker. International Milk Genomics Consortium. 2020 Symposium. 13-16 October 2020.
Fadul-Pacheco, L., F. Zhang and E. Cabrera. 2020. Comparing Machine Learning Algorithms for Prediction of Clinical Mastitis in Early Lactation. International Milk Genomics Consortium, Virtual Symposium 2020. 13-16 October 2020.
Cabrera, V.E. Developing a Dairy Brain: Improved Decision-Making from Continuous Integrated Data. Midwest section meeting of the American Society of Animal Science. 2-4 March 2020. Omaha, Nebraska.
Cabrera, V. E., J. Barrientos, L. Fadul, and H. Delgado. Real-time continuous decision-making using big data. Journal of Dairy Science 102: (Suppl. 1): 322.
Cabrera, E. 2018. What are the economic advantages of grouping and feeding dairy cows by nutritional need? Proceedings of 29th Annual Florida Ruminant Nutrition Symposium. Gainesville, FL 5-7 February 2018.
Mur-Novales, R. M., and E. Cabrera.2017. What type of semen should I use? Proceedings Dairy Cattle Reproduction Council Annual Convention. Reno, NV 7-9 November 2017.
Bach, A., and E. Cabrera. 2016. Nutritional approaches in robotic herds. Journal of Dairy Science 99 (Suppl. 1):35.
Cabrera, V. E. Economics of production efficiency: Nutritional grouping. Journal of Dairy Science 98 (Suppl. 2):350.
Cabrera, V. E. Impact of decision support tools available for dairy farm management. American Dairy Science Association Annual Meeting. Kansas City, MO. 23 July 2014.
Cabrera, V. E. Economics of fertility in high-yielding dairy cows on confined TMR systems. In Proceedings. International Cow Fertility Conference, New Science – New Practices. Westport, Mayo, Ireland. 18-21 May 2014.
Cabrera, V. E. Grouping strategies to improve feed efficiency. 26th American Dairy Science Association Discover Conference: Dairy Feed Efficiency. Naperville, IL. 23-26 September 2013.
Cabrera, V. E. The need for applied research and decision support tools in dairy farm management and decision-making. 2011 American Dairy Science Association Foundation Lecture. New Orleans, LO. 12 July 2011.
Animal & Dairy Sciences Climate and Diversity Committee
Animal & Dairy Sciences Faculty and Development Comittee
CALS Department Diversity Representative
CALS Farm & Industry Short Course Program Committee
CALS Dairy Innovation Hub Steering Committee
Data Science Hub Steering Committee
ANIMALS Journal Editorial Board
ANEMBE (National Association of Veterinarians, Spain) Advisory Committee
University of Wisconsin-Madison College of Agricultural and Life Sciences. Alfred Toepfer Faculty Fellow Award. (Letter)