Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions

Autores:: Orjuela-Angulo, Mayerlin
Balaguera-López, Helber Enrique
Camacho-Tamayo, Jesús Hernán

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:: eng

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network_name_str	RiUPTC: Repositorio Institucional UPTC
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dc.title.spa.fl_str_mv	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions
title	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions
spellingShingle	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions Days post-anthesis Pulp firmness Mathematical model Titratable acidity Plum Días post antesis Firmeza de pulpa Modelo matemático Propiedad química Ciruela
title_short	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions
title_full	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions
title_fullStr	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions
title_full_unstemmed	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions
title_sort	Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions
dc.creator.fl_str_mv	Orjuela-Angulo, Mayerlin Balaguera-López, Helber Enrique Camacho-Tamayo, Jesús Hernán
dc.contributor.author.eng.fl_str_mv	Orjuela-Angulo, Mayerlin Balaguera-López, Helber Enrique Camacho-Tamayo, Jesús Hernán
dc.subject.none.fl_str_mv	Days post-anthesis Pulp firmness Mathematical model Titratable acidity Plum Días post antesis Firmeza de pulpa Modelo matemático Propiedad química Ciruela
topic	Days post-anthesis Pulp firmness Mathematical model Titratable acidity Plum Días post antesis Firmeza de pulpa Modelo matemático Propiedad química Ciruela
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-05-01 00:00:00
dc.date.available.none.fl_str_mv	2025-05-01 00:00:00
dc.date.issued.none.fl_str_mv	2025-05-01
dc.type.spa.fl_str_mv	Artículo de revista
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dc.type.local.eng.fl_str_mv	Journal article
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dc.identifier.doi.none.fl_str_mv	10.19053/uptc.24223719.18794
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dc.identifier.url.none.fl_str_mv	https://doi.org/10.19053/uptc.24223719.18794
identifier_str_mv	2011-2173 10.19053/uptc.24223719.18794 2422-3719
url	https://doi.org/10.19053/uptc.24223719.18794
dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.references.eng.fl_str_mv	Africano-Pérez, K., P. Almanza-Merchán, H. Criollo, A. Herrera, and H.E. Balaguera-López. 2016. Caracterización poscosecha del fruto de durazno (Prunus persica (L.) Batsch) cv. Dorado producido bajo condiciones de trópico alto. Rev. Colomb. Cienc. Hortic. 10(2), 232-240. Doi: https://doi.org/10.17584/rcch.2016v10i2.5212 Cepeda M., A., J.E. Vélez-Sánchez, and H.E. Balaguera-López. 2021. Analysis of growth and physicochemical changes in apple cv. Anna in a high-altitude tropical climate. Rev. Colomb. Cienc. Hortic. 15(2), e12508. Doi: https://doi.org/10.17584/rcch.2021v15i2.12508 Cobuloglu, H.I. and I.E. Büyüktahtakın. 2015. A stochastic multi-criteria decision analysis for sustainable biomass crop selection. Expert Syst. Appl. 42(15-16), 6065-6074. Doi: https://doi.org/10.1016/j.eswa.2015.04.006 Fischer, G., P.J. Almanza-Merchán, and F. Ramírez. 2012. Source-sink relationships in fruit species: A review. Rev. Colomb. Cienc. Hortic. 6(2), 238-253. Doi: https://doi.org/10.17584/rcch.2012v6i2.1980 Gao, J., Z. Cai, W. Sun, and Y. Jiao. 2023. A novel method for imputing missing values in ship static data based on generative adversarial networks. J. Mar. Sci. Eng. 11, 806. Doi: https://doi.org/10.3390/jmse11040806 Gómez-Ramos, I., M. Caro, J.A. López, D. Ruiz, and J.A. Egea. 2024. A comparison of interpolation methods to predict chill accumulation in a Mediterranean stone fruit production area (Región de Murcia, SE Spain). Eur. J. Agron. 160, 127316. Doi: https://doi.org/10.1016/j.eja.2024.127316 Gutiérrez-Villamil, D.A., J.G. Álvarez-Herrera, G. Fischer, and H.E. Balaguera-López. 2024. Physiological adaptations of the Japanese plum tree for agricultural productivity: a promising crop for high-altitude tropics. Agron. Colomb. 42, e111402. Doi: https://doi.org/10.15446/agron.colomb.v42n1.111402 Lescano Vega, F.J. 2016. Determinación de grados días desarrollo en el cultivo de chocho (Lupinus mutabilis). Undergraduate thesis. Universidad Técnica de Cotopaxi, Latacunga, Ecuador. Manly, B.F.J. 1997. Multivariate statistical methods. A primer. 2nd ed. Chapman & Hall, London. MinAgricultura, Ministerio de Agricultura y Desarrollo Rural Colombia. 2025. Agronet, reporte de área, producción y rendimiento nacional por cultivo. In: https://www.agronet.gov.co/estadistica/Paginas/home.aspx?cod=1; consulted: May, 2024. Molina-Ochoa, M., J. Vélez-Sánchez, and P. Rodríguez. 2015. Efecto del riego deficitario controlado en las tasas de crecimiento del fruto de pera (Pyrus communis L,), var, Triunfo de Viena. Rev. Colomb. Cienc. Hortic. 9(2), 234-246. Doi: https://doi.org/10.17584/rcch.2015v9i2.4179 Nde, R.K., J.L. Fendji, B.O. Yenke, and J. Schöning. 2024. Crop selection: A survey on factors and techniques. Smart Agric. Technol. 9, 100602, https://doi.org/10.1016/j.atech.2024.100602 Orjuela-Angulo, M., H.E. Balaguera-López, and G. Fischer. 2024b. Determining of thermal time and base temperature during the reproductive phase of the Japanese plum in the tropical Andes. Rev. Colomb. Cienc. Hortic. 18(2), e17433. Doi: https://doi.org/10.17584/rcch.2024v18i2.17433 Orjuela-Angulo, M., J.H. Camacho-Tamayo, and H.E. Balaguera-López. 2024a. Cultivation location and agrometeorological conditions influence pre-harvest variables of Japanese plum fruit in the Colombian tropics. Braz. J. Agric. Environ. Eng. 28(12), e284789. Doi: http://doi.org/10.1590/1807-1929/agriambi.v28n12e284789 Orjuela-Angulo, M., A. Parra-Coronado, and J.H. Camacho-Tamayo. 2022. Base temperature for a phenological stage in plum cultivar Horvin (Prunus salicina Lindl.). Rev. Colomb. Cienc. Hortic. 16(3), e15179. https://doi.org/10.17584/rcch.2022v16i3.15179 Parra-Coronado, A., T.H. Camacho-Tamayo, and J.E. Hernández-Hernández. 2007. Estudio de algunas propiedades físicas y fisiológicas precosecha de la ciruela variedad 'Horvin'. Rev. Bras. Frutic. 29, 431-437. Doi: https://doi.org/10.1590/S0100-29452007000300006 Parra-Coronado, A., G. Fischer, and J.H. Camacho-Tamayo. 2015. Development and quality of pineapple guava fruit in two locations with different altitudes in Cundinamarca, Colombia. Bragantia 74(3), 359-366. Doi: https://doi.org/10.1590/1678-4499.0459 Parra-Coronado, A., G. Fischer, and J.H. Camacho-Tamayo. 2016. Growth model of the pineapple guava fruit as a function of thermal time and altitude. Ing. Invest. 36(3), 6–14. https://doi.org/10.15446/ing.investig.v36n3.52336 Parra-Coronado, A., G. Fischer, and J.H. Camacho-Tamayo. 2017. Model of pre-harvest quality of pineapple guava fruits (Acca sellowiana (O. Berg) Burret) as a function of weather conditions of the crops. Bragantia 76(1), 177-186. Doi: https://doi.org/10.1590/1678-4499.652 Parra-Coronado, A. and J.E. Hernández-Hernández. 2008. Fisiología postcosecha de frutas y hortalizas. 4th ed. Facultad de Ingeniería, Universidad Nacional de Colombia, Bogota. Pinzón, E.H., A. Cruz Morillo, and G. Fischer. 2014. Aspectos fisiológicos del duraznero (Prunus persica [L.] Batsch) en el trópico alto. Una revisión. Rev. U.D.C.A Act. & Div. Cient. 17(2), 401-411. Doi: https://doi.org/10.31910/rudca.v17.n2.2014.243 Pinzón-Sandoval, E.H., W. Pineda-Ríos, and P. Serrano-Cely. 2021. Mathematical models for describing growth in peach (Prunus persica [L.] Batsch.) fruit cv. Dorado. Rev. Colomb. Cienc. Hortic. 15(3), e13259. Doi: https://doi.org/10.17584/rcch.2021v15i3.13259 Podestá, L. 2002. Ciruela japonesa: parámetros de madurez y calidad. Revista de la Facultad de Ciencias Agrarias. 34(1), 63-70. Rafique, R., T. Ahmad, M. Ahmed, and M.A. Khan. 2024. Adapting the process based STICS model to simulate phenology and yield of table grapes- a high value fruit crop in a new emerging viticulture zone of South Asia. Sci. Hortic. 336, 113419. Doi: https://doi.org/10.1016/j.scienta.2024.113419 Rozo-Romero, L.X., J.G. Alvarez-Herrera, and H.E. Balaguera-López. 2015. Ethylene and changes during ripening in ‘Horvin’ plum (Prunus salicina Lindl.) fruits. Agron. Colomb. 33(2), 228-237. Doi: https://doi.org/10.15446/agron.colomb.v33n2.49856 Urbina Vallejo, V. 2015. El medio ecológico en plantaciones frutales. Lleida, Spain.
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spelling	Orjuela-Angulo, MayerlinBalaguera-López, Helber EnriqueCamacho-Tamayo, Jesús Hernán2025-05-01 00:00:002025-05-01 00:00:002025-05-012011-217310.19053/uptc.24223719.187942422-3719https://doi.org/10.19053/uptc.24223719.18794application/pdfengSociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTCRevista Colombiana de Ciencias Hortícolas - 2025http://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/18794Days post-anthesisPulp firmnessMathematical modelTitratable acidityPlumDías post antesisFirmeza de pulpaModelo matemáticoPropiedad químicaCiruelaMathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditionsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Africano-Pérez, K., P. Almanza-Merchán, H. Criollo, A. Herrera, and H.E. Balaguera-López. 2016. Caracterización poscosecha del fruto de durazno (Prunus persica (L.) Batsch) cv. Dorado producido bajo condiciones de trópico alto. Rev. Colomb. Cienc. Hortic. 10(2), 232-240. Doi: https://doi.org/10.17584/rcch.2016v10i2.5212Cepeda M., A., J.E. Vélez-Sánchez, and H.E. Balaguera-López. 2021. Analysis of growth and physicochemical changes in apple cv. Anna in a high-altitude tropical climate. Rev. Colomb. Cienc. Hortic. 15(2), e12508. Doi: https://doi.org/10.17584/rcch.2021v15i2.12508Cobuloglu, H.I. and I.E. Büyüktahtakın. 2015. A stochastic multi-criteria decision analysis for sustainable biomass crop selection. Expert Syst. Appl. 42(15-16), 6065-6074. Doi: https://doi.org/10.1016/j.eswa.2015.04.006Fischer, G., P.J. Almanza-Merchán, and F. Ramírez. 2012. Source-sink relationships in fruit species: A review. Rev. Colomb. Cienc. Hortic. 6(2), 238-253. Doi: https://doi.org/10.17584/rcch.2012v6i2.1980Gao, J., Z. Cai, W. Sun, and Y. Jiao. 2023. A novel method for imputing missing values in ship static data based on generative adversarial networks. J. Mar. Sci. Eng. 11, 806. Doi: https://doi.org/10.3390/jmse11040806Gómez-Ramos, I., M. Caro, J.A. López, D. Ruiz, and J.A. Egea. 2024. A comparison of interpolation methods to predict chill accumulation in a Mediterranean stone fruit production area (Región de Murcia, SE Spain). Eur. J. Agron. 160, 127316. Doi: https://doi.org/10.1016/j.eja.2024.127316Gutiérrez-Villamil, D.A., J.G. Álvarez-Herrera, G. Fischer, and H.E. Balaguera-López. 2024. Physiological adaptations of the Japanese plum tree for agricultural productivity: a promising crop for high-altitude tropics. Agron. Colomb. 42, e111402. Doi: https://doi.org/10.15446/agron.colomb.v42n1.111402Lescano Vega, F.J. 2016. Determinación de grados días desarrollo en el cultivo de chocho (Lupinus mutabilis). Undergraduate thesis. Universidad Técnica de Cotopaxi, Latacunga, Ecuador.Manly, B.F.J. 1997. Multivariate statistical methods. A primer. 2nd ed. Chapman & Hall, London.MinAgricultura, Ministerio de Agricultura y Desarrollo Rural Colombia. 2025. Agronet, reporte de área, producción y rendimiento nacional por cultivo. In: https://www.agronet.gov.co/estadistica/Paginas/home.aspx?cod=1; consulted: May, 2024.Molina-Ochoa, M., J. Vélez-Sánchez, and P. Rodríguez. 2015. Efecto del riego deficitario controlado en las tasas de crecimiento del fruto de pera (Pyrus communis L,), var, Triunfo de Viena. Rev. Colomb. Cienc. Hortic. 9(2), 234-246. Doi: https://doi.org/10.17584/rcch.2015v9i2.4179Nde, R.K., J.L. Fendji, B.O. Yenke, and J. Schöning. 2024. Crop selection: A survey on factors and techniques. Smart Agric. Technol. 9, 100602, https://doi.org/10.1016/j.atech.2024.100602Orjuela-Angulo, M., H.E. Balaguera-López, and G. Fischer. 2024b. Determining of thermal time and base temperature during the reproductive phase of the Japanese plum in the tropical Andes. Rev. Colomb. Cienc. Hortic. 18(2), e17433. Doi: https://doi.org/10.17584/rcch.2024v18i2.17433Orjuela-Angulo, M., J.H. Camacho-Tamayo, and H.E. Balaguera-López. 2024a. Cultivation location and agrometeorological conditions influence pre-harvest variables of Japanese plum fruit in the Colombian tropics. Braz. J. Agric. Environ. Eng. 28(12), e284789. Doi: http://doi.org/10.1590/1807-1929/agriambi.v28n12e284789Orjuela-Angulo, M., A. Parra-Coronado, and J.H. Camacho-Tamayo. 2022. Base temperature for a phenological stage in plum cultivar Horvin (Prunus salicina Lindl.). Rev. Colomb. Cienc. Hortic. 16(3), e15179. https://doi.org/10.17584/rcch.2022v16i3.15179Parra-Coronado, A., T.H. Camacho-Tamayo, and J.E. Hernández-Hernández. 2007. Estudio de algunas propiedades físicas y fisiológicas precosecha de la ciruela variedad 'Horvin'. Rev. Bras. Frutic. 29, 431-437. Doi: https://doi.org/10.1590/S0100-29452007000300006Parra-Coronado, A., G. Fischer, and J.H. Camacho-Tamayo. 2015. Development and quality of pineapple guava fruit in two locations with different altitudes in Cundinamarca, Colombia. Bragantia 74(3), 359-366. Doi: https://doi.org/10.1590/1678-4499.0459Parra-Coronado, A., G. Fischer, and J.H. Camacho-Tamayo. 2016. Growth model of the pineapple guava fruit as a function of thermal time and altitude. Ing. Invest. 36(3), 6–14. https://doi.org/10.15446/ing.investig.v36n3.52336Parra-Coronado, A., G. Fischer, and J.H. Camacho-Tamayo. 2017. Model of pre-harvest quality of pineapple guava fruits (Acca sellowiana (O. Berg) Burret) as a function of weather conditions of the crops. Bragantia 76(1), 177-186. Doi: https://doi.org/10.1590/1678-4499.652Parra-Coronado, A. and J.E. Hernández-Hernández. 2008. Fisiología postcosecha de frutas y hortalizas. 4th ed. Facultad de Ingeniería, Universidad Nacional de Colombia, Bogota.Pinzón, E.H., A. Cruz Morillo, and G. Fischer. 2014. Aspectos fisiológicos del duraznero (Prunus persica [L.] Batsch) en el trópico alto. Una revisión. Rev. U.D.C.A Act. & Div. Cient. 17(2), 401-411. Doi: https://doi.org/10.31910/rudca.v17.n2.2014.243Pinzón-Sandoval, E.H., W. Pineda-Ríos, and P. Serrano-Cely. 2021. Mathematical models for describing growth in peach (Prunus persica [L.] Batsch.) fruit cv. Dorado. Rev. Colomb. Cienc. Hortic. 15(3), e13259. Doi: https://doi.org/10.17584/rcch.2021v15i3.13259Podestá, L. 2002. Ciruela japonesa: parámetros de madurez y calidad. Revista de la Facultad de Ciencias Agrarias. 34(1), 63-70.Rafique, R., T. Ahmad, M. Ahmed, and M.A. Khan. 2024. Adapting the process based STICS model to simulate phenology and yield of table grapes- a high value fruit crop in a new emerging viticulture zone of South Asia. Sci. Hortic. 336, 113419. Doi: https://doi.org/10.1016/j.scienta.2024.113419Rozo-Romero, L.X., J.G. Alvarez-Herrera, and H.E. Balaguera-López. 2015. Ethylene and changes during ripening in ‘Horvin’ plum (Prunus salicina Lindl.) fruits. Agron. Colomb. 33(2), 228-237. Doi: https://doi.org/10.15446/agron.colomb.v33n2.49856Urbina Vallejo, V. 2015. El medio ecológico en plantaciones frutales. Lleida, Spain.112119Revista Colombiana de Ciencias Hortícolashttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/download/18794/16637PublicationOREORE.xmltext/xml2879https://repositorio.uptc.edu.co/bitstreams/affa1e3f-41ef-4be2-a028-d308d4218e95/download36eb88a401cdd3e8148129804fa773adMD51falseAnonymousREAD001/21471oai:repositorio.uptc.edu.co:001/214712026-05-20 10:56:05.524http://creativecommons.org/licenses/by-nc-sa/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Mathematical models for determining the physicochemical properties during development of Japanese fruit plum in high tropic conditions

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