Abstract
The following study proposes a production management process model based on good practices and developed with process management tools for increasing crop productivity of pecan nuts using the Ica region in the district of Pachacutec as a study area. The study covers the proposed model’s diagnosis and development. The relation between these stages is the main function of improving pecan orchard productivity. The study showed that to increase pecan productivity from 1.09 (t/ha) to 2.21 (t/ha), and to determine raw material needs, tools and/or labor, a standardized process is needed for pecan production. The study’s main contribution is the development of a production management process through which farmers can order and control production by means of indicators. Furthermore, the study proposes that the developed process of pecan production currently applied by farmers should be supported by a mathematical model simulation.
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References
Instituto Nacional de Estadística e Informática (INEI). Perú: Estructura Empresarial 2016 (2017). Recuperado de. https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1445/libro.pdf
Promperú . Desenvolvimiento del comercio agroexportador. Departamento de Agronegocios de la subdirección (2017). Recuperado de. http://media.peru.info/promperu/Desenvolvimientoagro2016.pdf
Wells, L.: Cultural Management of Commercial Pecan Orchards. Department of Agriculture. University of Georgia (2018). Recuperado de. https://secure.caes.uga.edu/extension/publications/files/pdf/B%201304_5.PDF
Mokochinski, F., Watzlawick, L., Botelho, R., Moreira, V.: Randomized branch sampling to estimate fruit production in Pecan trees cv. ‘Barton’. Ciência Rural, 47(4) (2017). https://dx.doi.org/10.1590/01038478cr20151591
Wells, L.: Response of young pecan trees to irrigation in a humud climate. Hort Science. 52(3), 457–462 (2017). https://doi.org/10.21273/HORTSCI11664-16
Luo, X., Li, Z., Sun, Z., Wan, X.: Analysis of pecan cultivars Mahan and Western in East China. Genet. Mol. Res. 15 (2016). https://doi.org/10.4238/gmr.15038732
Bock, C., Shapiro-Ilan, D., Wedge, D., Cantrell, C.: Identification of the antifungal compound, transcinnamic acid, produced by photorhabdus luminescens, a potential biopesticide against pecan scab. J. Pest. Sci. 87, 155–162 (2014)
Sammis, T., Gutschick, V., Wang, J., Miller, D.R.: Model of water and nitrogen management in pecan trees under normal and resourcelimited conditions. Agric. Water Manag. 124, 28–36 (2013). https://doi.org/10.1016/j.agwat.2013.03.012
Wells, L., Conner, P.: Pecan varieties for Georgia Orchards. Department of Agriculture. University of Georgia (2015). Recuperado de. https://secure.caes.uga.edu/extension/publications/files/pdf/C%20890_4.PDF
Walworth, J.L., White, S.A., Comeau, M.J., Heerema, R.J.: Soilapplied ZnEDTA: vegetative growth, nut production, and nutrient acquisition of immature pecan trees grown in an alkaline, calcareous soil. HortScience 52(2), 301–305 (2017). https://doi.org/10.21273/HORTSCI11467-16
Sanderlin, R., Bollich, A.: What fungicides is best to use for control pecan scab? LSU college of agriculture (2016). Extraido de. https://www.lsuagcenter.com/portals/our_offices/research_stations/pecan/features/pecan_faqs/what-fungicide-isbest-to-use-for-control-of-pecan-scab
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Muñante, A., Reyes, F., Sotelo, F., Raymundo, C. (2020). Management Model for Pecan Production Using Process Tools in an MSE in Peru. In: Ahram, T., Taiar, R., Colson, S., Choplin, A. (eds) Human Interaction and Emerging Technologies. IHIET 2019. Advances in Intelligent Systems and Computing, vol 1018. Springer, Cham. https://doi.org/10.1007/978-3-030-25629-6_141
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DOI: https://doi.org/10.1007/978-3-030-25629-6_141
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