Selected Recent Modeling Papers
A curated set of publications spanning mechanistic models, predictive analytics, sensor-driven decision support, and emerging computational paradigms.
This collection of papers documents a coherent, multi-year intellectual trajectory that traces the evolution of mathematical modeling in animal nutrition from classical mechanistic frameworks to modern, data-driven, and systems-level approaches. Collectively, the works articulate how advances in data analytics, sensor technologies, artificial intelligence, and, more recently, large language models and quantum computing, are reshaping decision support in livestock systems. The series integrates methodological foundations (model classifications, paradigms, and synthetic data generation), applied domains (ruminant nutrition, methane mitigation, precision livestock farming, and ecosystem services), and capacity building (training frameworks and pedagogical models for new researchers). Together, these papers provide both a conceptual roadmap and practical evidence for leveraging modeling, AI, and systems thinking to support sustainable, resilient, and societally relevant animal production systems.
Papers
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- Recommended Tedeschi, L. O. 2019. ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics. J. Anim. Sci. 97 (5):1921-1944. doi: 10.1093/jas/skz092
- Tedeschi, L. O., P. L. Greenwood, and I. Halachmi. 2021. Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming. J. Anim. Sci. 99 (2):1-11. doi: 10.1093/jas/skab038
- Tedeschi, L. O., D. P. Bureau, P. R. Ferket, and N. L. Trottier. 2021. ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Training the future generation in data and predictive analytics for sustainable development. A summary. J. Anim. Sci. 99 (2):1-3. doi: 10.1093/jas/skab023
- Recommended Tedeschi, L. O. 2022. ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: The progression of data analytics and artificial intelligence in support of sustainable development in animal science. J. Anim. Sci. 100 (6):1-11. doi: 10.1093/jas/skac111
- Tedeschi, L. O., and K. A. Beauchemin. 2023. GALYEAN APPRECIATION CLUB REVIEW: A holistic perspective of the societal relevance of beef production and its impacts on climate change. J. Anim. Sci. 101:skad024. doi: 10.1093/jas/skad024
- Tedeschi, L. O. 2023. Review: Harnessing extant energy and protein requirement modeling for sustainable beef production. Animal. 17:100835. doi: 10.1016/j.animal.2023.100835
- Recommended Tedeschi, L. O. 2023. Review: The prevailing mathematical modelling classifications and paradigms to support the advancement of sustainable animal production. Animal. 17:100813. doi: 10.1016/j.animal.2023.100813
- Tedeschi, L. O., D. C. Johnson, A. Atzori, K. Kaniyamattam, and H. M. Menendez. 2024. Applying systems thinking to sustainable beef production management: Modeling-based evidence for enhancing ecosystem services. Systems. 12 (11). doi: 10.3390/systems12110446
- Tedeschi, L. O. 2025. ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Synthetic Database Generation for Non-Normal Multivariate Distributions: A Rank-Based Method with Application to Ruminant Methane Emissions. J. Anim. Sci. 103:skaf136. doi: 10.1093/jas/skaf136
- Tedeschi, L. O., D. Tulpan, H. M. Menendez III, and R. A. M. Vieira. 2025. Modeling complex systems in animal science: A pedagogical framework for new researchers. Rev. Bras. Zootec. 54. doi: 10.37496/rbz5420240170
- Recommended Tedeschi, L. O. 2026. ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: quantum computing in agricultural sciences: from theory to reality. J. Anim. Sci. 104:skaf445. doi: 10.1093/jas/skaf445
- Tedeschi, L. O., P. Guarnido-Lopez, H. M. Menendez III, and S. Seo. 2026. Advancing precision livestock farming: Integrating artificial intelligence and emerging technologies for sustainable livestock management. Anim. Biosci. doi: 10.5713/ab.25.0289
- Condotta, I. C. F. S., and L. O. Tedeschi. 2025. ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Revolutionizing Animal Farming with Artificial Intelligence: Trends, Challenges, and Opportunities. J. Anim. Sci.:skaf441. doi: 10.1093/jas/skaf441
- Tulpan, D., L. O. Tedeschi, H. Menendez, and R. A. M. Vieira. 2026. ASAS-NANP Symposium: mathematical modeling in animal nutrition: construction of supervised machine learning regression pipelines for livestock data modeling: a case study. J. Anim. Sci. 104:skaf444. doi: 10.1093/jas/skaf444
- Recommended Tedeschi, L.O. 2026. ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: The Evolution of Large Language Models and Their Impact on Animal Sciences. (Accepted)