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Manuel Marcaida

Manuel Marcaida III

Crop Yield Data Analyst

Department of Animal Science
325 Morrison Hall, Ithaca, NY 14853

Complete CV for Manuel

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Research Statement

I analyze on-farm testing approaches (spatial statistical analyses) using various data layers, including past yield, soil, and elevation. I also aid in evaluating sensor data for yield estimation for corn and soybean and developing on-farm research approaches for use by farmers and farm advisors.


  • 2020 – MSc Environmental and Forest Sciences, University of Washington, Seattle, WA USA
  • 2005 – BS Agricultural Engineering, University of the Philippines Los Baņos, Laguna, Philippines


  • Hasegawa, T., Li, T., Yin, X., Zhu, Y., Boote, K., Baker, J., Bregaglio, S., Buis, S., Confalonieri, R., Fugice, J. and Fumoto, T., Gaydon, D., Kumar, S.N., Lafarge, T., Marcaida, M. III., Masutomi, Y., Nakagawa, H., Oriol, F., Ruget, F., Singh, U., Tang, L., Tao, F., Fugice, J., Wakatsuki, H., Wallach, D., Wang, Y., Wilson T., 2017. Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments. Scientific reports, 7(1), 1-13.
  • Li, T., Angeles, O., Marcaida III, M., Manalo, E., Manalili, M. P., Radanielson, A., and Mohanty, S. (2017). From ORYZA2000 to ORYZA (v3): An improved simulation model for rice in drought and nitrogen-deficient environments. Agricultural and forest meteorology, 237, 246-256.
  • Li, T., Ali, J., Marcaida III, M., Angeles, O., Franje, N.J., Revilleza, J.E., Manalo, E., Redoņa, E., Xu, J. and Li, Z. (2016). Combining limited multiple environment trials data with crop modeling to identify widely adaptable rice varieties. PloS one, 11(10), e0164456.
  • Li, T., Hasegawa, T., Yin, X., Zhu, Y., Boote, K., Adam, M., Bregaglio, S., Buis, S., Confalonieri, R., Fumoto, T., Gaydon, D., Marcaida, M. III, Nakagawa, H., Oriol, P., Ruane, A.C., Ruget, F., Singh, B., Singh, U., Tang, L., Tao, F., Wilkens, P., Yoshida, H., Zhang, Z., Bouman, B., (2015). Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions. Global change biology, 21(3), 1328-1341.
  • Marcaida III, M., Li, T., Angeles, O., Evangelista, G. K., Fontanilla, M.A., Xu, J., Gao, Y., Li, Z., Ali, J. (2014). Biomass accumulation and partitioning of newly developed Green Super Rice (GSR) cultivars under drought stress during the reproductive stage. Field Crops Research, 162, 30-38.

Congress and Meetings

  • Marcaida, M., Farhat, Y. A., Hossain, F., Neumann, R. B., and Kim, S. H. (2020, December). Assessing the Impacts of Changing Hydrology, Climate, and Agronomic Practices to Dry Season Rice Production in the Tonle Sap Floodplains. In AGU Fall Meeting 2020. AGU.
  • Marcaida III, M., Farhat, Y., Hossain, F., Neumann, R. B., and Kim, S. H. (2019, December). Where's the Paddy Now? Examining the Effect of Dams in Dry Season Rice Production in Tonle Sap Lake. In AGU Fall Meeting Abstracts (Vol. 2019, pp. GC41E-1298).
  • Marcaida M. III, Setiyono T., Maunahan A., Romuga G., Paguirigan N., Quicho E., Radanielson A. (2018, October). Scaling up climate change mitigation strategy from farm to landscape level using Unmanned Aerial Vehicle (UAV) and remote sensing technologies. International Rice Research Conference 2018. Singapore.
  • Marcaida M. III, Li T., Angeles, O., Corcuera, F., Marfori, C., Revilleza, J.E., Ali, J. (2014, October). Yield stability of Green Super Rice in water- and NPK-limited environments. International Rice Congress 2014. Bangkok, Thailand.
  • Marcaida M. III, Li T., Angeles, O., Manalo, E. (2012, November). Evaluation of ORYZA2000 under nitrogen-limited conditions: updates and improvements. IRRI Young Scientists Conference. Los Baņos, Laguna.

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