Linear programming model to optimize the cost of granulated macronutrients fertilization in carrot cropping in Costa Rica

Main Article Content

Javier Paniagua Molina, M.Sc.
https://orcid.org/0000-0003-2815-5437

Abstract

A linear programming model was used to minimize the cost of higher nutrient fertilization, N, P, K, Ca and Mg, in order to seek ways to improve the competitiveness of horticultural crops like carrot cropping. The minimum cost obtained was US $ 1,601.79 per hectare, with the use of 714.19 kg /hec of 10-30-10, 1026.81 kg /hec of 15-3-31, 401.79 kg/hec of 15-15-15, 244.12 kg /hec of magnesium sulfate and 525 kg /hec of calcium carbonate. The defined target yield was 50 t / hec. These results contrast with traditional fertilization in the area under study, where is common the use of a few source of fertilizers. 

Article Details

How to Cite
Paniagua Molina, J. (2018). Linear programming model to optimize the cost of granulated macronutrients fertilization in carrot cropping in Costa Rica. E-Agronegocios, 1(1). https://doi.org/10.18845/rea.v1i1.3683
Section
Artículos
Author Biography

Javier Paniagua Molina, M.Sc. , University of Costa Rica, Costa Rica.

Profesor, investigador y consultor. javier.paniagua@ucr.ac.cr Escuela de Economía Agrícola y Agronegocios. CIEDA. Universidad de Costa Rica  

References

Berstch, F. (2009) Absorción de nutrimentos por los cultivos. San José, Costa Rica, ACCS

Brino, M., y Rezende, L. (2012). Use of lineal programming models in experimentation

with plant nutrients.19 (2), 255-261. Recuperado de http://www.scielo.br/scielo.php?pid=S0104-77602013000200009&script=sci_arttext

Campaña, D.F. (2011) Modelo matemático de programación lineal para optimizar la selección de fertilizantes a través de la disminución de los costos en el cultivo de la papa.Tesis de maestría, Escuela Politécnica Nacional. Recuperado de http://bibdigital.epn.edu.ec/bitstream/15000/7763/1/CD-3893.pdf

Dixon, K.R. (2011). Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink. Recuperado de http://www.crcnetbase.com.ezproxy sibdi.ucr.ac.cr:2048/doi/abs/10.1201/b11089-3?queryID=

Ghosh, D., Sharma, D.A., y Mattison, D.M. (2003). Goal programming formulation in nutrient management for rice production in West Bengal.International Journal of Production Economics. 95 (2005)1-7

Haankuku, C., Epplin, F.M., y Kakani, Y.G. (2014). Forage Sorghum Response to Nitrogen Fertilization and Estimation of Production Cost. Agronomy Journal 106 -5.

Hansson, P., Svensson, F., Hallefalt, B., y Diedrichsc, H. (1999). Nutrient and cost optimization of fertilizing strategies for Salix including use of organic waste products.Biomass and Bioenergy 17 (1999) 377-387

Igwel, K.C. y Onyenweaku1, E.C. (2013).A Linear Programming Approach to Food Crops and Livestock Enterprises Planning in Aba Agricultural Zone of Abia State, Nigeria. American Journal of Experimental Agriculture 3(2): 412-431

Mackowski, D. Hendrix, E., Van Ittersum, M.K., y Rosing, W.H., (2001). Generation and Presentation of nearly optimal solutions for mixed-integerlineal programming, applied to a case in farming system design. EuropeanJournal of OperationsResearch, 132(2001) 425-428.

Paniagua (2013) Optimización del costo de fertilización con macronutrientes mediante programación lineal: el caso de la papa en la zona norte de Costa Rica. I Congreso en Economía Agrícola y Agronegocios y II Jornadas de Investigación del CIEDA. Recuperado de

http://www.economiagricola.ucr.ac.cr/images/Congresos_Conferencias/Miercoles%2016%20Oct% 20(Mesa%201)/Optimizacion%20economica%20del%20costo%20de%20nutricion%20con%20mac roelementos%20por%20metodos%20cuantitativos_Javier%20Paniagua.pdf

Richmond, F. y Méndez, C. (2010). Rendimiento de 12 híbridos comerciales de zanahoria (Daucus carota L.) en el campo y en la planta de empaque. Agronomía Mesoamericana, 21(1), 167-176.

Sosa, A.; Ruiz, G.; Bazante; I.; Mendoza, A., Etchevers, J.D.; Padilla, J. y Castellanos J.Z. (2013). Absorción de nitrógeno, fósforo y potasio en zanahoria (Daucus carota L.) cultivada en el Bajío de México. IAH, (11), 27-30.

Taha, H.A. (2004). Investigación de Operaciones .Pearson Educación

Tencio (2013) Estructuras de costos de producción de hortalizas. Ministerio de Agricultura y Ganadería, Dirección Regional Central Oriental, p. 5.

Žgajnar, J. y Kavčič, S. (2012). Farm management support based on mathematical

programming; an example of fertilization planning. Agroeconomia Croatica 2:2012(1)8-15.

Recuperado de

http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=139118&lang=en

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