Publications

See also my Google Scholar.

Accepted publications

• Rodriguez, I. M., Lacasa, J., van Versendaal, E., Lemaire, G., Belanger, G., Jégo, G., Sandaña, P. G., Soratto, R. P., Djalovic, I., Ata-Ul-Karim, S. T., Reussi Calvo, N. I., Giletto, C. M., Zhao, B., & Ciampitti, I. A. (2024). Revisiting the relationship between nitrogen nutrition index and yield across major species. European Journal of Agronomy, 154, 127079. https://doi.org/https://doi.org/10.1016/j.eja.2023.127079
• Lacasa, J., Messina, C.D., Ciampitti, I.A. (2023). A probabilistic framework for forecasting maize crop yield response to agricultural inputs with sub-seasonal climate predictions. Environ. Res. Lett. https://doi.org/10.1088/1748-9326/acd8d1
• Lacasa, J., Makowski, D., Hefley, T., Fernandez, J., van Versendaal, E., Lemaire, G., & Ciampitti, I. (2023). Comparison of statistical methods to fit critical nitrogen dilution curves. European Journal of Agronomy, 145, 126770. /https://doi.org/10.1016/j.eja.2023.126770
• Fernandez, J. A., van Versendaal, E., Lacasa, J., Makowski, D., Lemaire, G., & Ciampitti, I. A. (2022). Dataset characteristics for the determination of critical nitrogen dilution curves: From past to new guidelines. European Journal of Agronomy, 139, 126568. https://doi.org/10.1016/j.eja.2022.126568
• Ciampitti, I., van Versendaal, E., Rybecky, J. F., Lacasa, J., Fernandez, J., Makowski, D., & Lemaire, G. (2022). A global dataset to parametrize critical nitrogen dilution curves for major crop species. Scientific Data, 9(1), 277. https://doi.org/10.1038/s41597-022-01395-2
• Ciampitti, I. A., Makowski, D., Fernandez, J., Lacasa, J., & Lemaire, G. (2021). Does water availability affect the critical N dilution curves in crops? A case study for maize, wheat, and tall fescue crops. Field Crops Research, 273, 108301. https://doi.org/10.1016/j.fcr.2021.108301
• Lacasa, J., Ciampitti, I. A., Amas, J. I., Curín, F., Luque, S. F., & Otegui, M. E. (2021). Breeding effects on canopy light attenuation in maize: a retrospective and prospective analysis. Journal of Experimental Botany, erab503. https://doi.org/10.1093/jxb/erab503
• Lacasa, J., Hefley, T. J., Otegui, M. E., & Ciampitti, I. A. (2021). A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize. Plant Methods, 17(1), 60. https://doi.org/10.1186/s13007-021-00753-2
• Lacasa, J., Gaspar, A., Hinds, M., Jayasinghege Don, S., Berning, D., & Ciampitti, I. A. (2020). Bayesian approach for maize yield response to plant density from both agronomic and economic viewpoints in North America. Scientific Reports, 10(1), 15948. https://doi.org/10.1038/s41598-020-72693-1

Extension Publications

• Adjust corn plant density for the coming 2022 season (2022). Kansas State Univeristy eUpdate. link
• Corn seeding rate using weather models (2022). K-State Research and Extension. link
• Understanding The Past To See The Future Of Corn Hybrid Plants (2021). K-State Research and Extension. link
• Summary of 2019 Kansas Corn Yield Contest (2020). Kansas State University eUpdate. link