Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics

Autores:: Valbuena-Gaona, Laura A.
Rodríguez-Arteaga, Johan Sebastián
Balaguera-López, Helber Enrique
Ramirez-Gil, Joaquin Guillermo

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.spa.fl_str_mv	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics
title	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics
spellingShingle	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics Vaccinium corymbosum Stratified sampling Dieback Rust Incidence Severity Blueberry Vaccinium corymbosum Muestreo estratificado Muerte descendente Roya Incidencia Severidad Arándanos
title_short	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics
title_full	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics
title_fullStr	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics
title_full_unstemmed	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics
title_sort	Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics
dc.creator.fl_str_mv	Valbuena-Gaona, Laura A. Rodríguez-Arteaga, Johan Sebastián Balaguera-López, Helber Enrique Ramirez-Gil, Joaquin Guillermo
dc.contributor.author.eng.fl_str_mv	Valbuena-Gaona, Laura A. Rodríguez-Arteaga, Johan Sebastián Balaguera-López, Helber Enrique Ramirez-Gil, Joaquin Guillermo
dc.subject.none.fl_str_mv	Vaccinium corymbosum Stratified sampling Dieback Rust Incidence Severity Blueberry Vaccinium corymbosum Muestreo estratificado Muerte descendente Roya Incidencia Severidad Arándanos
topic	Vaccinium corymbosum Stratified sampling Dieback Rust Incidence Severity Blueberry Vaccinium corymbosum Muestreo estratificado Muerte descendente Roya Incidencia Severidad Arándanos
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-01-01 00:00:00 2026-04-16T17:45:37Z
dc.date.available.none.fl_str_mv	2025-01-01 00:00:00
dc.date.issued.none.fl_str_mv	2025-01-01
dc.type.spa.fl_str_mv	Artículo de revista
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dc.relation.references.none.fl_str_mv	Abbey, J., D. Percival, L. Jaakola, and S.K. Asiedu. 2024. Efficacy, persistence and residue levels of fungicides for Botrytis control in wild blueberry. Crop Prot. 179, 106633. Doi: https://doi.org/10.1016/j.cropro.2024.106633 Appelhoff, S., R. Hertwig, and B. Spitzer. 2022. Control over sampling boosts numerical evidence processing in human decisions from experience. Cereb. Cortex 33(1), 207. Doi: https://doi.org/10.1093/cercor/bhac062 Aubertot, J.N., J.J. Schott, A. Penaud, H. Brun, and T. Doré. 2004. Methods for sampling and assessment in relation to the spatial pattern of phoma stem canker (Leptosphaeria maculans) in oilseed rape. Eur. J. Plant Pathol. 110(2), 183-192. Doi: https://doi.org/10.1023/B:EJPP.0000015359.61910.3b Banerjee, S., G.A. Nayik, J. Kour, and N. Nazir. 2020. Blueberries. pp. 593-614. In: Nayik G.A. and A. Gull (eds.). Antioxidants in fruits: properties and health benefits. Springer, Singapore. Doi: https://doi.org/10.1007/978-981-15-7285-2_31 Belan, L.L., L.L. Belan, L.S. Satiro, W.B. Moraes, W.C. de Jesus Junior, and W.B. Moraes. 2021. A comparison of sampling methods to accurately estimate the incidence of leaf rust on conilon coffee. Australas. Plant Pathol. 50(6), 729-737. Doi: https://doi.org/10.1007/s13313-021-00823-y Binns, M.R. and J.P. Nyrop. 1992. Sampling insect populations for the purpose of IPM decision making. Ann. Rev. Entomol. 37, 427-453. Doi: https://doi.org/10.1146/annurev.en.37.010192.002235 Binns, M.R., J.P. Nyrop, and W. van der Werf. 2000. Sampling and monitoring in crop protection: The theoretical basis for developing practical decision guides. CABI, Wallingford, UK. Bock, C.H., K.S. Chiang, and E.M. Del Ponte. 2022. Plant disease severity estimated visually: a century of research, best practices, and opportunities for improving methods and practices to maximize accuracy. Trop. Plant Pathol. 47(1), 25-42. Doi: https://doi.org/10.1007/s40858-021-00439-z Brown, C.E. 1998. Coefficient of variation. pp. 155-157. In: Brown, C.E. (ed.). Applied multivariate statistics in geohydrology and related sciences. Springer, Berlin. Doi: https://doi.org/10.1007/978-3-642-80328-4_13 Cleves, J.A. 2021. Fundamentos técnicos del cultivo del arándano (Vaccinium corymbosum L.) en la región central de Colombia. Editorial UPTC, Tunja, Colombia. Doi: https://doi.org/10.19053/9789586604895 Cline, W.O. and H.J. Burrack. 2023. Diseases and insects of economic importance affecting blueberry fruit in North Carolina. Acta Hortic. 1357, 229-234. Doi: https://doi.org/10.17660/ActaHortic.2023.1357.33 Cochran, W.G. 1997. Sampling techniques. 3rd ed. John Wiley and Sons, New York, NY. de Silva, A., K. Patterson, C. Rothrock, and R. McNew. 1999. Phytophthora root rot of blueberry increases with frequency of flooding. HortScience 34(4), 693-695. Doi: https://doi.org/10.21273/HORTSCI.34.4.693 del Águila, I.M., J. Cañadas, and S. Túnez. 2015. Decision making models embedded into a web-based tool for assessing pest infestation risk. Biosyst. Eng. 133, 102-115. Doi: https://doi.org/10.1016/j.biosystemseng.2015.03.006 Donoso, A. and S. Valenzuela. 2018. In-field molecular diagnosis of plant pathogens: recent trends and future perspectives. Plant Pathol. 67(7), 1451-1461. Doi: https://doi.org/10.1111/ppa.12859 Fan, S., C. Li, W. Huang, and L. Chen. 2017. Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths. Postharvest Biol. Technol. 134, 55-66. Doi: https://doi.org/10.1016/j.postharvbio.2017.08.012 Fischer, G., D. Miranda, S. Magnitskiy, H.E. Balaguera-López, and Z. Molano (eds.). 2021. Avances en el cultivo de las berries en el trópico. SCCH, Bogota. Doi: https://doi.org/10.17584/IBerries García-León, E., J.M. Tovar-Pedraza, L.A. Valbuena-Gaona, V.H. Aguilar-Pérez, K.Y. Leyva-Madrigal, G.A. Mora-Romero, and J. G. 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An effective sample size for predicting plant disease incidence in a spatial hierarchy. Phytopathology 89(9), 770-781. Doi: https://doi.org/10.1094/PHYTO.1999.89.9.770 Madden, L.V. and G. Hughes. 1999b. Sampling for plant disease incidence. Phytopathology 89(11), 1088-1103. Doi: https://doi.org/10.1094/PHYTO.1999.89.11.1088 Madden, L.V., G. Hughes, and G.P. Munkvold. 1996. Plant disease incidence: inverse sampling, sequential sampling, and confidence intervals when observed mean incidence is zero. Crop Prot. 15, 621-632. Doi: https://doi.org/10.1016/0261-2194(96)00025-7 Madden, L.V., G. Hughes, and F. van den Bosch. 2007. The study of plant disease epidemics. APS Press, St. Paul, MN. Madrid, M. and R. Beaudry. 2020. Small fruits: raspberries, blackberries, blueberries. pp. 335-346. In: Gil, M.I. and R. Beaudry (eds.), Controlled and modified atmospheres for fresh and fresh-cut produce. Academic Press, London. Doi: https://doi.org/10.1016/B978-0-12-804599-2.00020-X Mahaman, B.D., H.C. 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Doi: https://doi.org/10.1016/j.jhevol.2022.103230 Shechtman, O. 2013. The coefficient of variation as an index of measurement reliability. pp. 39-49. In: Doi, S.A.R. and G.M. Williams (eds.). Methods of clinical epidemiology. Springer, Berlin. Doi: https://doi.org/10.1007/978-3-642-37131-8_4 Silva, S., E.M. Costa, M. Veiga, R.M. Morais, C. Calhau, and M. Pintado. 2020. Health promoting properties of blueberries: A review. Crit. Rev. Food Sci. Nutr. 60(2), 181-200. Doi: https://doi.org/10.1080/10408398.2018.1518895 Singh, R. and N.S. Mangat. 1996. Stratified sampling. pp. 102-144. In: Singh, R. and N.S. Mangat (eds.). Elements of survey sampling. Springer, Dordrecht, Netherlands. Doi: https://doi.org/10.1007/978-94-017-1404-4_5 Turechek, W.W. and L.V. Madden. 2001. Effect of scale on plant disease incidence and heterogeneity in a spatial hierarchy. Ecol. Model. 144(1), 77-95. Doi: https://doi.org/10.1016/S0304-3800(01)00350-7
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spelling	Valbuena-Gaona, Laura A.Rodríguez-Arteaga, Johan SebastiánBalaguera-López, Helber EnriqueRamirez-Gil, Joaquin Guillermo2025-01-01 00:00:002026-04-16T17:45:37Z2025-01-01 00:00:002025-01-012011-2173https://repositorio.uptc.edu.co/handle/001/2145710.19053/uptc.24223719.185152422-3719https://doi.org/10.19053/uptc.24223719.18515application/pdfSociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTCRevista Colombiana de Ciencias Hortícolas - 2024http://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/18515Vaccinium corymbosumStratified samplingDiebackRustIncidenceSeverityBlueberryVaccinium corymbosumMuestreo estratificadoMuerte descendenteRoyaIncidenciaSeveridadArándanosSampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropicsArtículo 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_970fb48d4fbd8a85Abbey, J., D. Percival, L. Jaakola, and S.K. Asiedu. 2024. Efficacy, persistence and residue levels of fungicides for Botrytis control in wild blueberry. Crop Prot. 179, 106633. Doi: https://doi.org/10.1016/j.cropro.2024.106633Appelhoff, S., R. Hertwig, and B. Spitzer. 2022. Control over sampling boosts numerical evidence processing in human decisions from experience. Cereb. Cortex 33(1), 207. Doi: https://doi.org/10.1093/cercor/bhac062Aubertot, J.N., J.J. Schott, A. Penaud, H. Brun, and T. Doré. 2004. Methods for sampling and assessment in relation to the spatial pattern of phoma stem canker (Leptosphaeria maculans) in oilseed rape. Eur. J. Plant Pathol. 110(2), 183-192. Doi: https://doi.org/10.1023/B:EJPP.0000015359.61910.3bBanerjee, S., G.A. Nayik, J. Kour, and N. Nazir. 2020. Blueberries. pp. 593-614. In: Nayik G.A. and A. Gull (eds.). Antioxidants in fruits: properties and health benefits. Springer, Singapore. Doi: https://doi.org/10.1007/978-981-15-7285-2_31Belan, L.L., L.L. Belan, L.S. Satiro, W.B. Moraes, W.C. de Jesus Junior, and W.B. Moraes. 2021. A comparison of sampling methods to accurately estimate the incidence of leaf rust on conilon coffee. Australas. Plant Pathol. 50(6), 729-737. Doi: https://doi.org/10.1007/s13313-021-00823-yBinns, M.R. and J.P. Nyrop. 1992. Sampling insect populations for the purpose of IPM decision making. Ann. Rev. Entomol. 37, 427-453. Doi: https://doi.org/10.1146/annurev.en.37.010192.002235Binns, M.R., J.P. Nyrop, and W. van der Werf. 2000. Sampling and monitoring in crop protection: The theoretical basis for developing practical decision guides. CABI, Wallingford, UK.Bock, C.H., K.S. Chiang, and E.M. Del Ponte. 2022. Plant disease severity estimated visually: a century of research, best practices, and opportunities for improving methods and practices to maximize accuracy. Trop. Plant Pathol. 47(1), 25-42. Doi: https://doi.org/10.1007/s40858-021-00439-zBrown, C.E. 1998. Coefficient of variation. pp. 155-157. In: Brown, C.E. (ed.). Applied multivariate statistics in geohydrology and related sciences. Springer, Berlin. Doi: https://doi.org/10.1007/978-3-642-80328-4_13Cleves, J.A. 2021. Fundamentos técnicos del cultivo del arándano (Vaccinium corymbosum L.) en la región central de Colombia. Editorial UPTC, Tunja, Colombia. Doi: https://doi.org/10.19053/9789586604895Cline, W.O. and H.J. Burrack. 2023. Diseases and insects of economic importance affecting blueberry fruit in North Carolina. Acta Hortic. 1357, 229-234. Doi: https://doi.org/10.17660/ActaHortic.2023.1357.33Cochran, W.G. 1997. Sampling techniques. 3rd ed. John Wiley and Sons, New York, NY. de Silva, A., K. Patterson, C. Rothrock, and R. McNew. 1999. Phytophthora root rot of blueberry increases with frequency of flooding. HortScience 34(4), 693-695. Doi: https://doi.org/10.21273/HORTSCI.34.4.693del Águila, I.M., J. Cañadas, and S. Túnez. 2015. Decision making models embedded into a web-based tool for assessing pest infestation risk. Biosyst. 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Doi: https://doi.org/10.1016/S0304-3800(01)00350-7201119Revista Colombiana de Ciencias Hortícolashttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/download/18515/15282PublicationOREORE.xmltext/xml2974https://repositorio.uptc.edu.co/bitstreams/689b2d52-0c83-4afc-aadd-57d59d256c48/download9fb0ace9a9dd4ecbea7483823407edc9MD51falseAnonymousREAD001/21457oai:repositorio.uptc.edu.co:001/214572026-04-20 14:27:55.707http://creativecommons.org/licenses/by-nc-sa/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Sampling methods as a basis for assessing the phytosanitary status of diseases and damage in blueberry production in the Colombian highland tropics

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