Genetics parameters and path analysis in Cannabis sativa L.

Autores:: Araméndiz-Tatis, Hermes
Cardona-Ayala, Carlos
Espitia-Camacho, Miguel
Pastrana-Vargas, Iván

Tipo de recurso:: Article of journal

Fecha de publicación:: 2024

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.spa.fl_str_mv	Genetics parameters and path analysis in Cannabis sativa L.
title	Genetics parameters and path analysis in Cannabis sativa L.
spellingShingle	Genetics parameters and path analysis in Cannabis sativa L. Cannabinoids Correlations Heritability Genetic gain Genetic variability Cannabis Cannabinoides Correlaciones Heredabilidad Ganancia genética Variabilidad genética Cannabis
title_short	Genetics parameters and path analysis in Cannabis sativa L.
title_full	Genetics parameters and path analysis in Cannabis sativa L.
title_fullStr	Genetics parameters and path analysis in Cannabis sativa L.
title_full_unstemmed	Genetics parameters and path analysis in Cannabis sativa L.
title_sort	Genetics parameters and path analysis in Cannabis sativa L.
dc.creator.fl_str_mv	Araméndiz-Tatis, Hermes Cardona-Ayala, Carlos Espitia-Camacho, Miguel Pastrana-Vargas, Iván
dc.contributor.author.eng.fl_str_mv	Araméndiz-Tatis, Hermes Cardona-Ayala, Carlos Espitia-Camacho, Miguel Pastrana-Vargas, Iván
dc.subject.none.fl_str_mv	Cannabinoids Correlations Heritability Genetic gain Genetic variability Cannabis Cannabinoides Correlaciones Heredabilidad Ganancia genética Variabilidad genética Cannabis
topic	Cannabinoids Correlations Heritability Genetic gain Genetic variability Cannabis Cannabinoides Correlaciones Heredabilidad Ganancia genética Variabilidad genética Cannabis
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-01-01 00:00:00 2026-04-16T17:45:17Z
dc.date.available.none.fl_str_mv	2024-01-01 00:00:00
dc.date.issued.none.fl_str_mv	2024-01-01
dc.type.spa.fl_str_mv	Artículo de revista
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dc.relation.references.none.fl_str_mv	Araméndiz-Tatis, H., C. Cardona-Ayala, M. Espitia-Camacho, A. Herrera-Contreras, and A. Villalba-Soto. 2023. Agronomic evaluation of Cannabis sativa (L.) cultivars in northern Colombia. Rev. Colomb. Cienc. Hortic. 17(1), e15695. Doi: https://doi.org/10.17584/rcch.2023v17i1.15695 Atehortua, L. 2018. Nuevas fronteras científicas y tecnológicas para el mejoramiento y la producción de cannabis. Canna World Cong. 1(2), 41-50. Babaei, M. and L. Ajdanian. 2020. Screening of different Iranian ecotypes of cannabis under water deficit stress. Sci. Hortic. 260, 108904. Doi: https://doi.org/10.1016/j.scienta.2019.108904. Bevan, L., M. Jones, and Y. Zheng. 2021. Optimisation of nitrogen, phosphorus, and potassium for soilless production of Cannabis sativa in the flowering stage using response surface analysis. Front. Plant Sci. 12, 764103. Doi: https://doi.org/10.3389/fpls.2021.764103 Burgel, L., J. Hartung, A. Pflugfelder, and S. Graeff-Hönninger. 2020. Impact of growth stage and biomass fractions on cannabinoid content and yield of different hemp (Cannabis sativa L.) genotypes. Agronomy 10(3), 372. Doi: https://doi.org/10.3390/agronomy10030372 Campell, L.G., J. Dufresne, and S.A. Sabatino. 2020. Cannabinoid inheritance relies on complex genetic architecture. Cannabis Cannabinoid Res. 5(1), 105-106. Doi: https://doi.org/10.1089/can.2018.0015 Cascini, F., A. Farcomeni, D. Migliorini, L. Lucini, L. Baldassarri, I. Boschi, S. Martello, S. Amaducci, and J. Bernardi. 2019. Highly predictive genetic markers distinguish drug-type from fiber-type Cannabis sativa L. Plants 8(11), 496. Doi: https://doi.org/10.3390/plants8110496 CND, Commission on Narcotic Drugs. 2020. Statements following the voting on the WHO scheduling recommendations on cannabis and cannabis-related substances. E/CN.7/2020/CRP.24. In: https://www.unodc.org/documents/commissions/CND/CND_Sessions/CND_63Reconvened/ECN72020_CRP24_V2007524.pdf; consulted: February, 2024. Cruz, C. 2020. Programa GENES V.1990.2020-15 - Aplicativo computacional em genética e estatística. In: Universidade Federal de Viçosa, https://www.ufv.br/dbg/genes/genes.htm; consulted: July, 2020. Dufresnes, C., C. Jan, F. Bienert, J. Goudet, and L. Fumagalli. 2017. Broad-scale genetic diversity of Cannabis for forensic applications. PLoS ONE 12(1), e0170522. Doi: https://doi.org/10.1371/journal.pone.0170522 Feder, C.L., O. Cohen, A. Shapira, I. Katzir, R. Peer, O. Guberman, S. Procaccia, P. Berman, M. Flaishman, and D. Meiri. 2021. Fertilization following pollination predominantly decreases phytocannabinoids accumulation and alters the accumulation of terpenoids in cannabis inflorescences. Front. Plant Sci. 12, 753847. Doi: https://doi.org/10.3389/fpls.2021.753847 García-Tejero, I., A. Hernández, C. Ferreiro-Vera, V.H. Duran Zuazo, J. Hidalgo, C. Sánchez-Carnerero and S. Casano. 2020. Yield of new hemp varieties for medical purposes under semi-arid Mediterranean environment conditions. Comun. Sci. 11, e3264. Doi: https://doi.org/10.14295/cs.v11i0.3264 Hallauer, A.R., J.B. Miranda Filho, and M.B. Carena. 2010. Quantitative genetics in maize breeding. pp. 577-653. In: Quantitative genetics in maize breeding. Handbook of plant breeding. Vol. 6. Springer, New York, NY. Doi: https://doi.org/10.1007/978-1-4419-0766-0_12 Hemavathy, A.T., N. Shunmugavalli, and G. Anand. 2015. Genetic variability, correlation and path co-efficient studies on yield and its components in mungbean [Vigna radiata (L.) Wilezek]. Legume Res. 38(4), 442-446. Doi: https://doi.org/10.5958/0976-0571.2015.00050.8 Johnson, H.W., H.F. Robinson, and R.E. Comstock. 1955. Estimates of genetic and environmental variability in soybeans. Agron J. 47(7), 314-318. Doi: https://doi.org/10.2134/agronj1955.00021962004700070009x Manggoel, W.N., M.I. Uguru, O.N. Ndam, and M.A. Dasbak. 2012. Genetic variability, correlation, and path coefficient analysis of some yield components of ten cowpea [Vigna unguiculata (L.) Walp] accessions. J. Plant Breed. Crop Sci. 4(5), 80-86. Marks, M.D., L. Tian, J.P. Wenger, S.N. Omburo, W. Soto-Fuentes, J. He, D.R. Gang, G.D. Weiblen, and R.A. Dixon. 2009. Identification of candidate genes affecting Δ9-tetrahydrocannabinol biosynthesis in Cannabis sativa. J. Exp. Bot. 60(13), 3715-3726. Doi: https://doi.org/10.1093/jxb/erp210 Martínez. V., A.I. De-Hond, A. Borelli, R. Capasso, M.D del Castillo, and R. Abalo. 2020. Cannabidiol and other non-psychoactive cannabinoids for prevention and treatment of gastrointestinal disorders: useful nutraceuticals? Int. J. Mol. Sci. 21(9), 3067. Doi: https://doi.org/10.3390/ijms21093067 Minsalud, Colombia Ministerio de Salud y Protección Social. 2018. Decreto 631, por el cual se modifica el artículo 2.8.11; 11.1 y se adiciona el numeral 15 al artículo 2.8.11.9.1. del Decreto 780 de 2016. Bogota. Naim-Feil, E., E.J. Breen, L.W. Pembleton, L.E. Spooner, G.C. Spangenberg, and N.O.I. Cogan. 2022. Empirical evaluation of inflorescences’ morphological attributes for yield optimization of medicinal Cannabis cultivars. Front. Plant Sci. 13, 858519. Doi: https://doi.org/10.3389/fpls.2022.858519 Pessoa, A.M.S., C.H.C. Bertini, E.B.L. Castro, L.M. Freitas, and L.B.R. Araújo. 2023. Genetic parameters and selection indices of cowpea genotypes for green grain production. Rev. Caatinga 36(2), 310-319. Doi: http://doi.org/10.1590/1983-21252023v36n208rc Poniatowska, J., K. Panasiewicz, M. Szalata, L. Zarina, S. Zute, and K. Wielgus. 2022. Variability of cannabinoid yields of fibre hemp cultivars depending on the sowing density and nitrogen fertilisation. Plant Soil Environ. 68(11), 525-532. Doi: https://doi.org/10.17221/223/2022-PSE Richins, R.D., L. Rodriguez-Uribe, K. Lowe, R. Ferral, and M.A. O'Connell. 2018 Accumulation of bioactive metabolites in cultivated medical Cannabis. PLoS ONE 13(7), e0201119. Doi: https://doi.org/10.1371/journal.pone.0201119 Robinson, H., R.E. Comstock, and P.H. Harvey. 1949. Estimates of heritability and degree of dominance in corn. Agron. J. 41(8), 353-359. Doi: https://doi.org/10.2134/agronj1949.00021962004100080005x Saloner, A. and N. Bernstein. 2020. Response of medical cannabis (Cannabis sativa L.) to nitrogen supply under long photoperiod. Front. Plant Sci. 11, 572293. Doi: https://doi.org/10.3389/fpls.2020.572293 Small, E. 2018. Dwarf germplasm: the key to giant Cannabis hempseed and cannabinoid crops. Genet Resour. Crop Evol. 65, 1071-1107. Doi: https:doi.org/10.1007/s10722-017-0597-y Trancoso, I., G.A.R. Souza, P.R. Santos, K.D. Santos, R.M.S.N. Miranda, A.L.P.M. Silva, D.Z. Santos, I.F. García-Tejero, and E. Campostrini. 2022. Cannabis sativa L.: crop management and abiotic factors that affect phytocannabinoid production. Agronomy 12, 1492. Doi: https://doi.org/10.3390/agronomy12071492 Tsaliki, E., A. Kalivas, Z. Jankauskiene, M. Irakli, C. Cook, I. Grigoriadis, I. Panoras, I. Vasilakoglou, and K. Dhima. 2021. Fibre and seed productivity of industrial hemp (Cannabis sativa L.) varieties under Mediterranean conditions. Agronomy 11(1), 171. Doi: https://doi.org/10.3390/agronomy11010171 Vergara, D., C. Feathers, E.L. Huscher, B. Holmes, J.A. Haas, and N.C. Kane. 2021. Widely assumed phenotypic associations in Cannabis sativa lack a shared genetic basis. PeerJ 20(9), e10672. Doi: https://doi.org/10.7717/peerj.10672 Weldemichael, G., S. Alamerew, and T. Kufa. 2017. Genetic variability, heritability, and genetic advance for quantitative traits in coffee (Coffea arabica L.) accessions in Ethiopia. Afr. J. Agric. Res. 12(21), 1824-1831. Doi: https://doi.org/10.5897/AJAR2016.12059 Yamamuro, T., H. Segawa, K. Kuwayama, K. Tsujikawa, T. Kanamori, and Y.T. Iwata. 2021. Rapid identification of drug-type and fiber-type cannabis by allele specific duplex PCR. Forensic Sci. Int. 318, 110634. Doi: https://doi.org/10.1016/j.forsciint.2020.110634
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spelling	Araméndiz-Tatis, HermesCardona-Ayala, CarlosEspitia-Camacho, MiguelPastrana-Vargas, Iván2024-01-01 00:00:002026-04-16T17:45:17Z2024-01-01 00:00:002024-01-012011-2173https://repositorio.uptc.edu.co/handle/001/2141910.19053/uptc.24223719.168622422-3719https://doi.org/10.19053/uptc.24223719.16862text/xmlapplication/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/16862CannabinoidsCorrelationsHeritabilityGenetic gainGenetic variabilityCannabisCannabinoidesCorrelacionesHeredabilidadGanancia genéticaVariabilidad genéticaCannabisGenetics parameters and path analysis in Cannabis sativa L.Artículo 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_970fb48d4fbd8a85Araméndiz-Tatis, H., C. Cardona-Ayala, M. Espitia-Camacho, A. Herrera-Contreras, and A. Villalba-Soto. 2023. Agronomic evaluation of Cannabis sativa (L.) cultivars in northern Colombia. Rev. Colomb. Cienc. Hortic. 17(1), e15695. Doi: https://doi.org/10.17584/rcch.2023v17i1.15695Atehortua, L. 2018. Nuevas fronteras científicas y tecnológicas para el mejoramiento y la producción de cannabis. Canna World Cong. 1(2), 41-50.Babaei, M. and L. Ajdanian. 2020. Screening of different Iranian ecotypes of cannabis under water deficit stress. Sci. Hortic. 260, 108904. Doi: https://doi.org/10.1016/j.scienta.2019.108904.Bevan, L., M. Jones, and Y. Zheng. 2021. Optimisation of nitrogen, phosphorus, and potassium for soilless production of Cannabis sativa in the flowering stage using response surface analysis. Front. Plant Sci. 12, 764103. Doi: https://doi.org/10.3389/fpls.2021.764103Burgel, L., J. Hartung, A. Pflugfelder, and S. Graeff-Hönninger. 2020. Impact of growth stage and biomass fractions on cannabinoid content and yield of different hemp (Cannabis sativa L.) genotypes. Agronomy 10(3), 372. Doi: https://doi.org/10.3390/agronomy10030372Campell, L.G., J. Dufresne, and S.A. Sabatino. 2020. Cannabinoid inheritance relies on complex genetic architecture. Cannabis Cannabinoid Res. 5(1), 105-106. Doi: https://doi.org/10.1089/can.2018.0015Cascini, F., A. Farcomeni, D. Migliorini, L. Lucini, L. Baldassarri, I. Boschi, S. Martello, S. Amaducci, and J. Bernardi. 2019. Highly predictive genetic markers distinguish drug-type from fiber-type Cannabis sativa L. Plants 8(11), 496. Doi: https://doi.org/10.3390/plants8110496CND, Commission on Narcotic Drugs. 2020. Statements following the voting on the WHO scheduling recommendations on cannabis and cannabis-related substances. E/CN.7/2020/CRP.24. In: https://www.unodc.org/documents/commissions/CND/CND_Sessions/CND_63Reconvened/ECN72020_CRP24_V2007524.pdf; consulted: February, 2024.Cruz, C. 2020. Programa GENES V.1990.2020-15 - Aplicativo computacional em genética e estatística. In: Universidade Federal de Viçosa, https://www.ufv.br/dbg/genes/genes.htm; consulted: July, 2020.Dufresnes, C., C. Jan, F. Bienert, J. Goudet, and L. Fumagalli. 2017. Broad-scale genetic diversity of Cannabis for forensic applications. PLoS ONE 12(1), e0170522. Doi: https://doi.org/10.1371/journal.pone.0170522Feder, C.L., O. Cohen, A. Shapira, I. Katzir, R. Peer, O. Guberman, S. Procaccia, P. Berman, M. Flaishman, and D. Meiri. 2021. Fertilization following pollination predominantly decreases phytocannabinoids accumulation and alters the accumulation of terpenoids in cannabis inflorescences. Front. Plant Sci. 12, 753847. Doi: https://doi.org/10.3389/fpls.2021.753847García-Tejero, I., A. Hernández, C. Ferreiro-Vera, V.H. Duran Zuazo, J. Hidalgo, C. Sánchez-Carnerero and S. Casano. 2020. Yield of new hemp varieties for medical purposes under semi-arid Mediterranean environment conditions. Comun. Sci. 11, e3264. Doi: https://doi.org/10.14295/cs.v11i0.3264Hallauer, A.R., J.B. Miranda Filho, and M.B. Carena. 2010. Quantitative genetics in maize breeding. pp. 577-653. In: Quantitative genetics in maize breeding. Handbook of plant breeding. Vol. 6. Springer, New York, NY. Doi: https://doi.org/10.1007/978-1-4419-0766-0_12Hemavathy, A.T., N. Shunmugavalli, and G. Anand. 2015. Genetic variability, correlation and path co-efficient studies on yield and its components in mungbean [Vigna radiata (L.) Wilezek]. Legume Res. 38(4), 442-446. Doi: https://doi.org/10.5958/0976-0571.2015.00050.8Johnson, H.W., H.F. Robinson, and R.E. Comstock. 1955. Estimates of genetic and environmental variability in soybeans. Agron J. 47(7), 314-318. Doi: https://doi.org/10.2134/agronj1955.00021962004700070009xManggoel, W.N., M.I. Uguru, O.N. Ndam, and M.A. Dasbak. 2012. Genetic variability, correlation, and path coefficient analysis of some yield components of ten cowpea [Vigna unguiculata (L.) Walp] accessions. J. Plant Breed. Crop Sci. 4(5), 80-86.Marks, M.D., L. Tian, J.P. Wenger, S.N. Omburo, W. Soto-Fuentes, J. He, D.R. Gang, G.D. Weiblen, and R.A. Dixon. 2009. Identification of candidate genes affecting Δ9-tetrahydrocannabinol biosynthesis in Cannabis sativa. J. Exp. Bot. 60(13), 3715-3726. Doi: https://doi.org/10.1093/jxb/erp210Martínez. V., A.I. De-Hond, A. Borelli, R. Capasso, M.D del Castillo, and R. Abalo. 2020. Cannabidiol and other non-psychoactive cannabinoids for prevention and treatment of gastrointestinal disorders: useful nutraceuticals? Int. J. Mol. Sci. 21(9), 3067. Doi: https://doi.org/10.3390/ijms21093067Minsalud, Colombia Ministerio de Salud y Protección Social. 2018. Decreto 631, por el cual se modifica el artículo 2.8.11; 11.1 y se adiciona el numeral 15 al artículo 2.8.11.9.1. del Decreto 780 de 2016. Bogota.Naim-Feil, E., E.J. Breen, L.W. Pembleton, L.E. Spooner, G.C. Spangenberg, and N.O.I. Cogan. 2022. Empirical evaluation of inflorescences’ morphological attributes for yield optimization of medicinal Cannabis cultivars. Front. Plant Sci. 13, 858519. Doi: https://doi.org/10.3389/fpls.2022.858519Pessoa, A.M.S., C.H.C. Bertini, E.B.L. Castro, L.M. Freitas, and L.B.R. Araújo. 2023. Genetic parameters and selection indices of cowpea genotypes for green grain production. Rev. Caatinga 36(2), 310-319. Doi: http://doi.org/10.1590/1983-21252023v36n208rcPoniatowska, J., K. Panasiewicz, M. Szalata, L. Zarina, S. Zute, and K. Wielgus. 2022. Variability of cannabinoid yields of fibre hemp cultivars depending on the sowing density and nitrogen fertilisation. Plant Soil Environ. 68(11), 525-532. Doi: https://doi.org/10.17221/223/2022-PSERichins, R.D., L. Rodriguez-Uribe, K. Lowe, R. Ferral, and M.A. O'Connell. 2018 Accumulation of bioactive metabolites in cultivated medical Cannabis. PLoS ONE 13(7), e0201119. Doi: https://doi.org/10.1371/journal.pone.0201119Robinson, H., R.E. Comstock, and P.H. Harvey. 1949. Estimates of heritability and degree of dominance in corn. Agron. J. 41(8), 353-359. Doi: https://doi.org/10.2134/agronj1949.00021962004100080005xSaloner, A. and N. Bernstein. 2020. Response of medical cannabis (Cannabis sativa L.) to nitrogen supply under long photoperiod. Front. Plant Sci. 11, 572293. Doi: https://doi.org/10.3389/fpls.2020.572293Small, E. 2018. Dwarf germplasm: the key to giant Cannabis hempseed and cannabinoid crops. Genet Resour. Crop Evol. 65, 1071-1107. Doi: https:doi.org/10.1007/s10722-017-0597-yTrancoso, I., G.A.R. Souza, P.R. Santos, K.D. Santos, R.M.S.N. Miranda, A.L.P.M. Silva, D.Z. Santos, I.F. García-Tejero, and E. Campostrini. 2022. Cannabis sativa L.: crop management and abiotic factors that affect phytocannabinoid production. Agronomy 12, 1492. Doi: https://doi.org/10.3390/agronomy12071492Tsaliki, E., A. Kalivas, Z. Jankauskiene, M. Irakli, C. Cook, I. Grigoriadis, I. Panoras, I. Vasilakoglou, and K. Dhima. 2021. Fibre and seed productivity of industrial hemp (Cannabis sativa L.) varieties under Mediterranean conditions. Agronomy 11(1), 171. Doi: https://doi.org/10.3390/agronomy11010171Vergara, D., C. Feathers, E.L. Huscher, B. Holmes, J.A. Haas, and N.C. Kane. 2021. Widely assumed phenotypic associations in Cannabis sativa lack a shared genetic basis. PeerJ 20(9), e10672. Doi: https://doi.org/10.7717/peerj.10672Weldemichael, G., S. Alamerew, and T. Kufa. 2017. Genetic variability, heritability, and genetic advance for quantitative traits in coffee (Coffea arabica L.) accessions in Ethiopia. Afr. J. Agric. Res. 12(21), 1824-1831. Doi: https://doi.org/10.5897/AJAR2016.12059Yamamuro, T., H. Segawa, K. Kuwayama, K. Tsujikawa, T. Kanamori, and Y.T. Iwata. 2021. Rapid identification of drug-type and fiber-type cannabis by allele specific duplex PCR. Forensic Sci. Int. 318, 110634. Doi: https://doi.org/10.1016/j.forsciint.2020.110634e168621e1686218Revista Colombiana de Ciencias Hortícolashttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/download/16862/14542https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/download/16862/13914Núm. 1 , Año 2024 : In press / En imprentaPublicationOREORE.xmltext/xml2774https://repositorio.uptc.edu.co/bitstreams/a9671559-9bbf-4716-ae84-863cb9ac5d9b/downloade6a42f12fc6439cf80f558e7bee0acf2MD51falseAnonymousREAD001/21419oai:repositorio.uptc.edu.co:001/214192026-04-20 14:27:53.202http://creativecommons.org/licenses/by-nc-sa/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Genetics parameters and path analysis in Cannabis sativa L.

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