- Undergraduate Education
- B.S., Agronomy Engineering, University of San Simon
- Graduate Education
- M.S., Production Systems, National Agrarian University
- Ph.D., Biological Systems Engineering, Virginia Polytechnic Institute and State University
Summary & Research Interests
Dr. Osorio Leyton’s research and teaching interest focus on linking process-based simulation models, geospatial analysis, machine learning, and data analytics to support science-based decision-making of agricultural systems. In addition, his research experience includes the development and application of simulation models for hydrology and plant growth. Dr. Osorio Leyton is the P.I. of the project “Establishing and Strengthening Predictive Livestock Early Warning System (PLEWs) in Kenya, Somalia, Sudan, Uganda, and South Sudan” sponsored by the United Nations-The Food and Agriculture Organization (FAO). The project contributes to the development of a Predictive Livestock Early Warning System (PLWES) in East Africa and other parts of the world to provide estimates of livestock forage and water availability and their deviations from average conditions, this information on forage and water status, when combined with livestock market conditions, can assist in adaptive management decisions to improve drought response and reduce risks. Dr. Osorio Leyton also works overseeing data analytics, model application, and advance modeling research and analyses related to the USDA-Natural Resources Conservation Service’s Conservation Effects Assessment Project (CEAP) to inform national and regional scale agricultural and natural resource conservation policy, with an emphasis on water and soil quality, food security, and rural stability. Dr. Osorio Leyton received his Ph.D. in Biological Systems Engineering, Virginia Polytechnic Institute & State University, his MS in Production Systems at National Agrarian University La Molina, and his BS in Agronomy from the University of San Simon. Dr. Osorio Leyton serves as Associate Editor for the Journal of International Soil and Water Conservation Research (ISWCR). Dr. Osorio Leyton is a member of Alpha Epsilon, Honor Society of Agricultural, Food, and Biological Engineering (AE), American Society of Agricultural and Biological Engineers (ASABE), American Water Resources Association (AWRA), and the Bolivian Society of Engineers (SBI).
Meki, N.M., J. Osorio, K.D. Behrman, L. Doro, E. Steglich, and M.L. Norfleet. 2020. Drought induced nitrogen and phosphorus carryover credits in corn/soybean rotations in the Upper Mississippi River Basin. Trans. ASABE. (In Rev.)
Osorio Leyton, J.M., K.D. Behrman, and M.L Norfleet (2020). Assessment of the impacts of within field variability of soils on of corn and soybean using a process-based simulation model. Trans. ASABE (In Rev.)
Mckenna, O., D. Mushet, K.D. Behrman, L. Doro, and J. Osorio. 2020. Development of a framework for modeling field scale conservation effects of depressional wetlands in agricultural landscapes. J. Soil Water Conserv. 75(5): 1-9.
Meki, N.M., J. Kiniry, A. Williams, S. Kim, A. Worqlul, J. Osorio, J. Relly, R. Greeson. 2020. Field and Simulation-Based Assessment of Vetivergrass Bioenergy Feedstock Production Potential in Texas. Agron. J. 112(4): 2602-2707.
Osorio Leyton, J.M. (2019). APEXeditor: A spreadsheet-based tool for editing APEX model input and output files. J. Software Engineering and Applications (JSEA) 12 (10): 432-446.
Jeong, J., K. Wagner, J. Flores, T. Cawthon, Y. Her, J. Osorio, H. Yen. 2018 Linking watershed modeling and bacterial source tracking to better assess E. coli sources. Science of the Total Environment 648: 164-175.
Zhang, L., T.E. Juenger, J.M. Osorio, and K.D. Behrman. 2018. Sensitivity Analysis of the APEX Model for Assessing Sustainability of Switchgrass Grown for Biofuel Production in Central Texas. Bioenerg. 11: 69-85.
Worqlul, A.W., J. Jeong, Y.T. Dile, J. Osorio, P. Schmitter,T. Gerik, R. Srinivasan, N. Clark. 2017. Assessing potential land suitable for surface irrigation using groundwater in Ethiopia. Applied Geography Applied Geography: 85: 1-13
Worqlul, A.W., E.K. Ayana, B.H.P. Maathuis, C. MacAlister, W.D. Philpot, J.M. Osorio Leyton, T.S. Steenhuis. 2017. Performance of bias corrected MPEG rainfall estimate for rainfall-runoff simulation in the upper Blue Nile Basin, Ethiopia. J. Hydrol. 556: 1182-1191.
- Clarke, J.C. Bizimana, Y. Dile, A. Worqlul, J. Osorio, B. Herbst, J.W. Richardson, R. Srinivasan, T.J. Gerik, J. Williams, C.A. Jones, J. Jeong. 2016. Evaluation of new farming technologies in Ethiopia using the Integrated Decision Support System (IDSS). Ag. Water Mng. 180-B: 267-279.
M.N. Meki, J.R. Kiniry, A.H. Youkhana, S.E. Crow, R.M. Ogoshi, M.H. Nakahata, R. Tirado-Corbalá, R.G. Anderson, J. Osorio and J. Jeong. 2015. Two-Year Growth Cycle Sugarcane Crop Parameter Attributes and their Application in Modeling. Agron. J. 107(4): 1310-1320.
Osorio, J., J. Jeong, J. Arnold, and K. Bieger. 2014. Influence of potential evapotranspiration on the water balance of sugarcane fields in Maui, Hawaii – Special Issue: Evapotranspiration. J. Wat. Res.Prot. 6: 852-868.
Jeong, J., R. Taylor, S. Chinnasamy, C. Rossi, and J. Osorio, 2013. Field to watershed scale water quality adaptations to address a changing world. In: Understanding Freshwater Quality Problems in a Changing World. Proceedings of H04, IAHS-IAPSO-IASPEI Assembly. Ed: Berit Arheimer IAHS Publ. 361.
Bosch, D., J. Pease, M.L. Wolfe, C. Zobel, J. Osorio, T. Denckla Cobb, and G. Evanylo. 2012. Community DECISIONS: Stakeholder focused watershed planning. J. Environ. Manage. 112: 226-232.
Canas, R., C. Leon-Velarde, R. Quiroz, and J. Osorio. 2003. Quantifying energy dissipation by grazing animals in harsh environments. J. Theo. Bio. 225: 351-359.