Application of the response surface methodology for yield optimization in maize (Zea mays L.)
Keywords:
response surface methodology, yield optimization, corn, Zea mays L.
Abstract
The objective of this study was based on the application of the response surface methodology (RSM) for yield optimization in maize (Zea mays L.). The hybrid INIA SQ-1 was used, and the Response Surface Methodology was used using the Box-Behnken design (DBB), with which the following factors were evaluated: plant density, nitrogen (N) dose and phosphorus (P) dose at three levels each; for the optimization of the response variables: “yield” (kg.ha-1) and the “number of grains per square meter” (g.m2). The response surface method provided a statistically validated predictive model, which through adjustments was adapted to an established optimization process. For the variable “yield”, a maximum response was found with the application of 150 Kg.ha-1 of N and 90 kg.ha-1 of P. In relation to the number of grains per square meter (g.m2), the optimum was obtained using 75,000 plants.ha-1 and an applied dose of 150 kg.ha-1.
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References
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Box, G. and Behnken, D. (1960). Some new three-level designs for the study of quantitative variables. Technometrics, 30 (1960), pp. 1-40.https://doi.org/10.1080/00401706.1960.10489912
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Ganugi, P., Fiorini, A., Rocchetti, G., Bonini, P., Tabaglio, V., & Lucini, L. (2022). A response surface methodology approach to improve nitrogen use efficiency in maize by an optimal mycorrhiza-to-Bacillus co-inoculation rate. Frontiers in Plant Science, 13, 956391. https://doi.org/10.3389/fpls.2022.956391
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Medina, A., Santiago, G., Soto, J. & Hernández, M. (2018). Yield of grain maize with and without fertilization in the state of Campeche. Revista Mexicana De Ciencias Agrícolas, (21), 4306-4316. https://doi.org/10.29312/remexca.v0i21.1532
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Rodríguez, F., Sierra, M., Espinosa, A., Ventura, M., Barrón, S., Meza, P. & Del Rosario, J. (2021). Forage productivity in hybrid maize under different stocking densities and fertilizer doses. Terra Latinoamericana 39, 1-12, e676. https://doi.org/10.28940/terra.v39i0.676.
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Sharif i, S., Raei, Y. &Weisany. W. (2014). Study of physiological growth indices in maize (Zea mays L.) hybrids under different plant densities. International Journal of Bioscience, 5, 100-109. doi: http://dx.doi.org/10.12692/ijb/5.3.100-109.
Tadeo, M., A. Espinosa, A., Canales, I., López, C., Zamudio, B, Turrent, A., Gómez, N., Sierra, M., Martínez, A., Valdivia, R. & Meza, P. (2020). Grain yield and population densities of new corn hybrids released by the INIFAP and UNAM for the High Valleys of Mexico. Terra Latinoamericana 38, 507-515. doi: https://doi.org/10.28940/terra.v38i3.557
Tadeo, M., Espinosa, A., Chimal, N., Arteaga, I., Trejo, V., Canales, E., Sierra, M., Valdivia, R., Gómez, N., Palafox, A. & Zamudio, B. (2012). Densidad de población y fertilización en híbridos de maíz androestériles y fértiles. Terra Latinoamericana, 30, 157-164. https://www.scielo.org.mx/scielo.php?pid=S018757792012000200157&script=sci_arttext
Torralbo, F., Boardman, D., Houx, J. H., III, & Fritschi, F. B. (2023). Soil mineral nitrogen content and grain yield with enhanced efficiency fertilizers in maize. Agronomy Journal, 115(2), 976–986. https://doi.org/10.1002/agj2.21255
Vargas, M., Portillo, M., Brambila, J., Martínez, M. & Medina, S. (2021). Óptimos económicos de fertilizante en la producción de maíz blanco en Valles Altos. Revista Mexicana de Ciencias Agrícolas, 12(8), 1391–1400. https://doi.org/10.29312/remexca.v12i8.2685
Yaguas, O. (2017). Response surface methodology for the optimization of an agricultural production. Industrial Engineering Journal, 1, 205-222. https://doi.org/10.22320/S07179103/2017.13
Youngerman, C., o DiTommaso, A.: Curran, W., Mirsky, S. & Ryan, M. (2018). Corn Density Effect on Interseeded Cover Crops, Weeds, and Grain Yield. Agronomy Journal, 110, 2478–2487. doi:10.2134/agronj2018.01.0010
Bouras, H., Bouaziz, A., Choukr-Allah, R., Hirich, A., Devkota, K. & Bouazzama, B. (2021). Phosphorus fertilization enhances productivity of forage corn (Zea mays L.) Irrigated with Saline Water. Plants (Basel, Switzerland), 10(12), 2608. https://doi.org/10.3390/plants10122608
Box, G. and Behnken, D. (1960). Some new three-level designs for the study of quantitative variables. Technometrics, 30 (1960), pp. 1-40.https://doi.org/10.1080/00401706.1960.10489912
Erenstein, O., Jaleta, M., Sonder, K., Mottaleb, K., & Prasanna, B. M. (2022). Global maize production, consumption and trade: trends and R&D implications. Food Security, 14, 1295–1319. https://doi.org/10.1007/s12571-022-01288-7
FAO-ESS. (2021). Estadísticas de Cultivos: Conceptos, Definiciones y Clasificaciones. División de Estadística de la FAO (ESS), Roma. https://www.fao.org/economic/the-statistics-division-ess/methodology/methodology-systems/crops-statistics-concepts-definitions-and-classifications/en/.
Ganugi, P., Fiorini, A., Rocchetti, G., Bonini, P., Tabaglio, V., & Lucini, L. (2022). A response surface methodology approach to improve nitrogen use efficiency in maize by an optimal mycorrhiza-to-Bacillus co-inoculation rate. Frontiers in Plant Science, 13, 956391. https://doi.org/10.3389/fpls.2022.956391
Gómez, N., Palemón, F., Reyes, G., Hernández, C., Cantú, M., Juárez, P. &Ascencio, A. (2016). Rendimiento de grano y características fenotípicas de maíz: efecto de ambiente y dosis de fertilización. Revista Mexicana De Ciencias Agrícolas, 7(8), 1801–1813. https://doi.org/10.29312/remexca.v7i8.93
Guo, J., Wang, Y., Fan, T.; Chen, X. & Cui, Z. (2016). Designing corn management strategies for high yield and high nitrogen use efficiency. Agronomy Journal 108(2):922-929. https://doi.org/10.2134/agronj2015.0435
Jun, X., Rui-Zhi, X., Wang-Feng, Z., Ke-Ru, W., Peng, H., Bo, M., Ling, G. & Shao-Kun, L. (2017). Research progress on reduced lodging of high-yield and -density maize. Journal of Integrative Agriculture, 16(12):2717-2725. https://doi.org/10.1016/S2095-3119(17)61785-4
Martínez U., Raúl A., Kolln, O. & de Castro, G. (2017). Evaluación de la densidad de plantas, componentes fenológicos de producción y rendimiento de granos en diferentes materiales genéticos de maíz. Idesia (Arica), 35(3), 23-30. https://dx.doi.org/10.4067/S0718-34292017005000401
Masood , T., Gul, R., Munsif, F., Jalal, F., Hussain, Z., Noreen, N., Khan, H., Din, N. & Khan, H. (2011). Effect of different phosphorus levels on the yield and yield components of maize. Sarhad, Journal of Agriculture, 27, 167-170.http://www.aup.edu.pk/sj_pdf/2-%20EFFECT%20OF%20DIFFERENT%20PHOSPHORUS%20LEVELS%20ON%20THE.pdf
Medina, A., Santiago, G., Soto, J. & Hernández, M. (2018). Yield of grain maize with and without fertilization in the state of Campeche. Revista Mexicana De Ciencias Agrícolas, (21), 4306-4316. https://doi.org/10.29312/remexca.v0i21.1532
Montgomery, D. (2004). Desing and Analysis of Experiments. John Wiley and Sons, Ed. 2.https://www.wiley.com/en-us/Design+and+Analysis+of+Experiments%2C+10th+Edition-p-9781119492443
Moreno, A., Brito, J., Reyes, J. & Contreras. V. (2017). Forage maize nutritional quality according to organic and inorganic fertilization. Scientia Agropecuaria, 8, 127-135, http://dx.doi.org/10.17268/sci. agropecu.2017.02.05.
Rodríguez, F., Sierra, M., Espinosa, A., Ventura, M., Barrón, S., Meza, P. & Del Rosario, J. (2021). Forage productivity in hybrid maize under different stocking densities and fertilizer doses. Terra Latinoamericana 39, 1-12, e676. https://doi.org/10.28940/terra.v39i0.676.
Romero, T., Tamayo, L., Morales, M., Aparicio, J, Pérez, V., Peralta, M. & Cuervo, J. (2022). Growth and yield of purple kculli corn plants under different fertilization schemes. Journal of fungi (Basel, Switzerland), 8(5), 433. https://doi.org/10.3390/jof8050433
Sharif i, S., Raei, Y. &Weisany. W. (2014). Study of physiological growth indices in maize (Zea mays L.) hybrids under different plant densities. International Journal of Bioscience, 5, 100-109. doi: http://dx.doi.org/10.12692/ijb/5.3.100-109.
Tadeo, M., A. Espinosa, A., Canales, I., López, C., Zamudio, B, Turrent, A., Gómez, N., Sierra, M., Martínez, A., Valdivia, R. & Meza, P. (2020). Grain yield and population densities of new corn hybrids released by the INIFAP and UNAM for the High Valleys of Mexico. Terra Latinoamericana 38, 507-515. doi: https://doi.org/10.28940/terra.v38i3.557
Tadeo, M., Espinosa, A., Chimal, N., Arteaga, I., Trejo, V., Canales, E., Sierra, M., Valdivia, R., Gómez, N., Palafox, A. & Zamudio, B. (2012). Densidad de población y fertilización en híbridos de maíz androestériles y fértiles. Terra Latinoamericana, 30, 157-164. https://www.scielo.org.mx/scielo.php?pid=S018757792012000200157&script=sci_arttext
Torralbo, F., Boardman, D., Houx, J. H., III, & Fritschi, F. B. (2023). Soil mineral nitrogen content and grain yield with enhanced efficiency fertilizers in maize. Agronomy Journal, 115(2), 976–986. https://doi.org/10.1002/agj2.21255
Vargas, M., Portillo, M., Brambila, J., Martínez, M. & Medina, S. (2021). Óptimos económicos de fertilizante en la producción de maíz blanco en Valles Altos. Revista Mexicana de Ciencias Agrícolas, 12(8), 1391–1400. https://doi.org/10.29312/remexca.v12i8.2685
Yaguas, O. (2017). Response surface methodology for the optimization of an agricultural production. Industrial Engineering Journal, 1, 205-222. https://doi.org/10.22320/S07179103/2017.13
Youngerman, C., o DiTommaso, A.: Curran, W., Mirsky, S. & Ryan, M. (2018). Corn Density Effect on Interseeded Cover Crops, Weeds, and Grain Yield. Agronomy Journal, 110, 2478–2487. doi:10.2134/agronj2018.01.0010
Published
2023-11-29
How to Cite
Montaña, R., Roco-Videla, Ángel, Maureira-Carsalade, N., Flores, S., & Nieves, A. (2023). Application of the response surface methodology for yield optimization in maize (Zea mays L.). Revista De La Facultad De Agronomía De La Universidad Del Zulia, 40(4), e234035. Retrieved from https://mail.produccioncientificaluz.org/index.php/agronomia/article/view/41147
Issue
Section
Crop Production
Copyright (c) 2023 Román Montaña, Ángel Roco-Videla, Nelson Maureira-Carsalade, Ana Nieves, Sergio Flores
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
