Calibration of the PALMSIM Model for Predicting Potential Yield in Oil Palm in Colombia
| dc.creator | Bojacá-Aldana, Carlos | |
| dc.creator | Bayona-Rodríguez, Cristihian J. | |
| dc.creator | Ayala-Díaz, Iván Mauricio | |
| dc.date | 2026-05-26 | |
| dc.date.accessioned | 2026-06-05T16:59:58Z | |
| dc.description | Process-based crop models, such as PALMSIM, are valuable tools for estimating potential yields in oil palm, but their direct application across regions yields significant discrepancies. In Colombia, a calibration of multiple PALMSIM components was conducted for nine genetic crosses with diverse genetic backgrounds. Using data from the commercial cultivar observatory established at the Palmar de La Vizcaína Experimental Field (Barrancabermeja, Colombia), which provided long-term observations under optimal management conditions, four physiological mechanisms of the model were calibrated: photosynthetic response, potential bunch weight, leaf emission rate, and potential number of bunches. The calibration of the photosynthetic response revealed fundamental differences between Colombian and Southeast Asian palms. In particular, the Colombian palms exhibited a maximum photosynthetic rate 16% lower than that of the Southeast Asian palms (410 vs. 490 μg CH2O m-² s-¹) and required almost twice the radiation to reach saturation. The cross-specific calibration of potential bunch weight functions yielded maximum asymptotic values of 20,7-38,5 kg, substantially lower than the original model’s predictions. Leaf emission rates varied between 21,8 and 24,8 leaves palm−1 year−1, while potential number of bunches parameters showed distinctive reproductive patterns among crosses. The fully calibrated model reduced prediction errors by approximately 60% compared to the original version. | en-US |
| dc.description | Los modelos de cultivo basados en procesos, como PALMSIM, constituyen herramientas valiosas para estimar los rendimientos potenciales de la palma de aceite, pero su aplicación directa en diversas regiones genera discrepancias significativas. En Colombia, se calibraron múltiples componentes de PALMSIM en nueve cruzamientos genéticos con diferentes antecedentes genéticos. A partir de datos del observatorio de cultivares comerciales establecido en el Campo Experimental Palmar de la Vizcaína (Barrancabermeja, Colombia), que proporcionó observaciones a largo plazo bajo condiciones óptimas de manejo, se calibraron cuatro mecanismos fisiológicos del modelo: respuesta fotosintética, peso potencial de racimo, tasa de emisión foliar y número potencial de racimos. La calibración de la respuesta fotosintética reveló diferencias fundamentales entre palmas colombianas y del sudeste asiático. En particular, las palmas colombianas presentaron una tasa fotosintética máxima 16 % menor que la de las palmas del sudeste asiático (410 frente a 490 μg CH2O m-²s-¹) y requirieron casi el doble de radiación para alcanzar la saturación. La calibración por cruzamiento de las funciones de peso potencial del racimo mostró valores máximos asintóticos entre 20,7 y 38,5 kg, sustancialmente inferiores a las predicciones del modelo original. Las tasas de emisión foliar variaron entre 21,8 y 24,8 hojas palma−1 año−1, mientras que los parámetros del número potencial de racimos mostraron patrones reproductivos distintivos entre los cruzamientos. El modelo completamente calibrado redujo los errores de predicción en aproximadamente un 60 % respecto a la versión original. | es-ES |
| dc.format | application/pdf | |
| dc.identifier | 10.56866/01212923.14519 | |
| dc.identifier.uri | https://repositorio.fedepalma.org/handle/123456789/158334 | |
| dc.identifier.url | https://publicaciones.fedepalma.org/index.php/palmas/article/view/14519 | |
| dc.language | spa | |
| dc.publisher | Cenipalma | es-ES |
| dc.relation | https://publicaciones.fedepalma.org/index.php/palmas/article/view/14519/14453 | |
| dc.relation | /*ref*/Ayala, I. M., Romero, H. M., Tupaz, A. A., Daza, E. S., Rincon, A. H. & Caicedo, A. (2017). Comportamiento agronómico de cultivares comerciales de palma de aceite en el Campo Experimental Palmar de La Vizcaína (I. M. Ayala Díaz & H. M. Romero Angulo, Eds.). Centro de Investigación en Palma de Aceite (Cenipalma). http://repositorio.fedepalma.org/handle/123456789/107601 | |
| dc.relation | /*ref*/Dufrene, E., & Saugier, B. (1993). Gas exchange of oil palm in relation to light, vapour pressure deficit, temperature and leaf age. Functional Ecology, 7(1), 97–104. https://doi.org/10.2307/2389872 | |
| dc.relation | /*ref*/Goudriaan, J., & Laar, H. H. (1994). Modelling potential crop growth processes. Springer. https://doi.org/10.1007/978-94-011-0750-1 | |
| dc.relation | /*ref*/Heidari, A., Mayer, A., Watkins, D., & Castillo, M. M. (2020). Hydrologic impacts and trade-offs associated with developing oil palm for bioenergy in Tabasco, Mexico. Journal of Hydrology: Regional Studies, 31. https://doi.org/10.1016/j.ejrh.2020.100722 | |
| dc.relation | /*ref*/Hoffmann, M. P., Castaneda Vera, A., van Wijk, M. T., Giller, K. E., Oberthür, T., Donough, C., & Whitbread, A. M. (2014). Simulating potential growth and yield of oil palm (Elaeis guineensis) with PALMSIM: Model description, evaluation and application. Agricultural Systems, 131, 1–10. https://doi.org/10.1016/j.agsy.2014.07.006 | |
| dc.relation | /*ref*/Hoffmann, M. P., Donough, C., Oberthür, T., Castaneda, A., Van Wijk, M. T., Lim, C. H., … & Whitbread, A. M. (2015). Benchmarking yield for sustainable intensification of oil palm production in Indonesia using PALMSIM. The Planter, 91(1067), 81–96. | |
| dc.relation | /*ref*/Mencke, L. S. (2020). Yield potential of oil palm (Elaeis guineensis) in Colombia: An introduction to estimating oil palm yield gaps using the perennial crop model PALMSIM in Colombia [Tesis de maestría, Wageningen University]. Wageningen University & Research. | |
| dc.relation | /*ref*/Ollenburger, M., Kyle, P., & Zhang, X. (2022). Uncertainties in estimating global potential yields and their impacts for long-term modeling. Food Security, 14(5), 1177–1190. https://doi.org/10.1007/s12571-021-01228-x | |
| dc.relation | /*ref*/Paterson, R. R. M., Kumar, L., Shabani, F., & Lima, N. (2017). World climate suitability projections to 2050 and 2100 for growing oil palm. The Journal of Agricultural Science, 155(5), 689–702. https://doi.org/10.1017/S0021859616000605 | |
| dc.relation | /*ref*/Rivera-Méndez, Y. D., & Romero, H. M. (2017). Fitting of photosynthetic response curves to photosynthetically active radiation in oil palm. Agronomía Colombiana, 35(3), 323–329. https://doi.org/10.15446/agron.colomb.v35n3.63119 | |
| dc.relation | /*ref*/Tan, F. N. (2021). Simulating water-limited oil palm yields in Colombia using PALMSIM v2.0 [Tesis de maestría, Wageningen University]. Wageningen University & Research. | |
| dc.relation | /*ref*/Tao, F., Yokozawa, M., & Zhang, Z. (2009). Modelling the impacts of weather and climate variability on crop productivity over a large area: A new process-based model development, optimization, and uncertainties analysis. Agricultural and Forest Meteorology, 149(5), 831–850. https://doi.org/10.1016/j.agrformet.2008.11.004 | |
| dc.relation | /*ref*/Verdoodt, A., Van Ranst, E., & Van Averbeke, W. (2003). Modelling crop production potentials for yield gap analysis under semiarid conditions in Guquka, South Africa. Soil Use and Management, 19(4), 372–380. https://doi.org/10.1111/j.1475-2743.2003.tb00328.x | |
| dc.relation | /*ref*/Woittiez, L. S., van Wijk, M. T., Slingerland, M., van Noordwijk, M., & Giller, K. E. (2017). Yield gaps in oil palm: A quantitative review of contributing factors. European Journal of Agronomy, 83, 57–77. https://doi.org/10.1016/j.eja.2016.11.002 | |
| dc.relation | /*ref*/Wu, R., Lawes, R., Oliver, Y., Fletcher, A., & Chen, C. (2019). How well do we need to estimate plant-available water capacity to simulate water-limited yield potential? Agricultural Water Management, 212, 441–447. https://doi.org/10.1016/j.agwat.2018.09.029 | |
| dc.relation | /*ref*/Xu, Y., Ciais, P., Yu, L., Li, W., Chen, X., Zhang, H., … Gong, P. (2021). Oil palm modelling in the global land surface model ORCHIDEE-MICT. Geoscientific Model Development, 14(7), 4573–4592. https://doi.org/10.5194/gmd-14-4573-2021 | |
| dc.relation | /*ref*/Zhang, J., Chen, Y., & Zhang, Z. (2020). A remote sensing-based scheme to improve regional crop model calibration at sub-model component level. Agricultural Systems, 181. https://doi.org/10.1016/j.agsy.2020.102814 | |
| dc.rights | Derechos de autor 2026 Palmas | es-ES |
| dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0 | es-ES |
| dc.source | Palmas; Vol. 47 Núm. 1 (2026): Palmas; 33-50 | es-ES |
| dc.source | 2744-8266 | |
| dc.subject | cruzamiento genético | es-ES |
| dc.subject | fisiología vegetal | es-ES |
| dc.subject | fotosíntesis | es-ES |
| dc.subject | modelo de cultivo | es-ES |
| dc.subject | rendimiento potencial | es-ES |
| dc.subject | crop model | en-US |
| dc.subject | genetic cross | en-US |
| dc.subject | photosynthesis | en-US |
| dc.subject | plant physiology | en-US |
| dc.subject | potential yield | en-US |
| dc.title | Calibration of the PALMSIM Model for Predicting Potential Yield in Oil Palm in Colombia | en-US |
| dc.title | Calibración del modelo PALMSIM para la predicción de rendimiento potencial de la palma de aceite en Colombia | es-ES |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion |