Análisis de estabilidad fenotípica paramétrica de híbridos apomícticos de Brachiaria (Brachiaria humidicola) en múltiples ambientes

dc.contributor.advisorRodríguez Molano, Luis Ernesto
dc.contributor.authorGuevara Ruiz, Dylan Mauricio
dc.contributor.otherDarghan Contreras, Aquiles Enrique
dc.date.accessioned2023-01-30T21:57:46Z
dc.date.available2023-01-30T21:57:46Z
dc.date.issued2023-01-30
dc.descriptionilustracionesspa
dc.description.abstractBrachiaria (Brachiaria humidicola) es una especie de amplia adopción como forraje para la alimentación bovina adaptada a amplias zonas tropicales y subtropicales de Sudamérica, África y Asia. El programa de mejoramiento genético de brachiaria, que adelanta el Centro internacional de Agricultura Tropical (CIAT) en Colombia, busca seleccionar híbridos estables de alto rendimiento para suelos ácidos. Sin embargo, la interacción genotipo por ambiente (IGA) dificulta la selección y estabilidad fenotípica, sin embargo, no existe un consenso común sobre la definición de estabilidad ni como estimarla. Para el análisis de estabilidad se han utilizado desde métodos univariados hasta modelos multivariados, donde existe una tendencia actual por el uso de modelos lineales multivariados. El objetivo de esta investigación fue comparar la precisión en la estimación de la IGA mediante modelos univariados, el modelo de efectos principales aditivos e interacción multiplicativa de efectos fijos (AMMI) y el modelo best linear unbiased prediction (BLUP). Se encontró que los métodos explicaron la estabilidad de diferentes formas, algunos se relacionan más con el concepto biológico de la estabilidad, mientras que otros explican el concepto agronómico de la estabilidad. El modelo BLUP tuvo mayor precisión predictiva que el modelo AMMI. Por lo tanto, se recomienda el uso del modelo BLUP para la selección de híbridos de brachiaria, aunque, la selección de híbridos estables de brachiaria dependerá del concepto de estabilidad que están alineados con los objetivos de mejoramiento. (Texto tomado de la fuente)spa
dc.description.abstractBrachiaria (Brachiaria humidicola) is a widely adopted specie as forage for cattle feed in Latin America. The brachiaria breeding program seeks to select high-yielding hybrids for acid soils. However, the genotype by environment (IGA) interaction makes it difficult to select superior hybrids. The IGA is related to stability. However, there is no common consensus on the definition of stability or how to estimate it. For the stability analysis, from univariate methods to multivariate models have been used, where there is a current trend for the use of multivariate linear models. The objective of this research was to evaluate univariate models, the model of additive main effects and multiplicative interaction (AMMI) and the model BLUP. It was found that the methods explained stability in different ways, some are more related to the biological concept of stability, while others explain the agronomic concept of stability. The model BLUP had a higher predictive accuracy than AMMI model. Therefore, model BLUP is recommended for selection of brachiaria hybrids, although also it is recommended that the selection of stable brachiaria hybrids be carried out in accordance with the objectives of the breeding program and stability concepts.eng
dc.description.degreelevelMaestríaspa
dc.description.researchareaGenética y Fitomejoramientospa
dc.format.extentxvi, 34 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/83197
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.facultyFacultad de Ciencias Agrariasspa
dc.publisher.placeBogotá - Colombiaspa
dc.publisher.programBogotá - Ciencias Agrarias - Maestría en Ciencias Agrariasspa
dc.relation.referencesAnnicchiarico, P. (1992). Cultivar adaptation and recommendation from alfalfa trials in northern Italy. J. Genet. Breed., 46: 269-278. J. Genet. & Breed, 46(November), 269–296. https://www.researchgate.net/profile/Paolo_Annicchiarico/publication/292006732_Cultivar_adaptation_and_recommendation_from_alfalfa_trials_in_Northern_Italy/links/58382a1608aed5c614880f4c/Cultivar-adaptation-and-recommendation-from-alfalfa-trials-in-Northespa
dc.relation.referencesBecker, H. C., & Léon, J. (1988). Stability Analysis in Plant Breeding. Plant Breeding, 101(1), 1–23. https://doi.org/10.1111/j.1439-0523.1988.tb00261.xspa
dc.relation.referencesCatchpole, W. R., & Wheelert, C. J. (1992). Review Estimating plant biomass: A review of techniques. In Australian Journal of Ecology {\992) (Vol. 17).spa
dc.relation.referencesCGIAR. (2018). Tropical Forages and the DiFusion of Brachiaria Cultivars in Latin America (Issue 70). https://cas.cgiar.org/sites/default/files/pdf/ispc_brief_70_brachiaria.pdfspa
dc.relation.referencesCubero, J., & Flores, F. (2003). Métodos estadísticos para el estudio de la estabilidad varietal en ensayos agrícolas. In Junta de Andalucía (2nd ed., Issue 2). https://doi.org/10.5281/zenodo.1477753spa
dc.relation.referencesEberhart, S. A., & Russell, W. A. (1966). Stability Parameters for Comparing Varieties. Crop Science, 6(1), 36–40. https://doi.org/10.2135/cropsci1966.0011183x000600010011xspa
dc.relation.referencesFalconer, D., & Mackay, D. (1996). Introduction to Quantitative Genetic (Cuarta).spa
dc.relation.referencesFasahat, P. (2015). An Overview on the Use of Stability Parameters in Plant Breeding. Biometrics & Biostatistics International Journal, 2(5). https://doi.org/10.15406/bbij.2015.02.00043spa
dc.relation.referencesFederer, W. (1956). Augmented (or Hoonuiaku) design. Cornell University, 1–33. https://ecommons.cornell.edu/handle/1813/32841spa
dc.relation.referencesFerraudo, G. M., & Perecin, D. (2014). Mixed Model, AMMI and Eberhart-Russel Comparison via Simulation on Genotype × Environment Interaction Study in Sugarcane. Applied Mathematics, 05(14), 2107–2119. https://doi.org/10.4236/am.2014.514205spa
dc.relation.referencesFinlay, K. W., & Wilkinson, G. N. (1963). THE ANALYSIS OF ADAPTATION IN A PLANT-BREEDING PROGRAMME. Australian Journal of Agricultural Research, 14(1958), 742–754.spa
dc.relation.referencesFlores, F., Moreno, M. T., & Cubero, J. I. (1998). A comparison of univariate and multivariate methods to analyze genotype by environment interaction. Field Crops Research, 56, 271–286.spa
dc.relation.referencesFox, P. N., Skovmand, B., Thompson, B. K., Braun, H. J., & Cormier, R. (1990). Yield and adaptation of hexaploid spring triticale. Euphytica, 47(1), 57–64. https://doi.org/10.1007/BF00040364spa
dc.relation.referencesFrancis, T., & Kannenberg, L. (1978). YIELD STABILITY STUDIES IN SHORT-SEASON MAIZE. I. A DESCRIPTIVE METHOD FOR GROUPING GENOTYPES. Can. J. Plant Sci., 58, 1029–1034.spa
dc.relation.referencesGauch, H. G. (1988). Model Selection and Validation for Yield Trials with Interaction (Vol. 44, Issue 3).spa
dc.relation.referencesGauch, H. G., & Zobei, R. W. (1988). Predictive and postdictive success of statistical analyses of yield trials*. Theor Appl Genet.spa
dc.relation.referencesHenderson, C. (1975). Best Linear Unbiased Estimation and Prediction under a Selection Model (Vol. 31, Issue 2).spa
dc.relation.referencesJarquín, D., Lemes da Silva, C., Gaynor, R. C., Poland, J., Fritz, A., Howard, R., Battenfield, S., & Crossa, J. (2017). Increasing Genomic‐Enabled Prediction Accuracy by Modeling Genotype × Environment Interactions in Kansas Wheat. The Plant Genome, 10(2). https://doi.org/10.3835/plantgenome2016.12.0130spa
dc.relation.referencesKang, M. (1988). rank–sum method for selectig high-yielding, stable corn genotypes. Cereal Res, 16(1), 113–115.spa
dc.relation.referencesLin, C. S., & Binns, M. R. (1988). A Superiority Measure of Cultivar Performance for Cultivar × Location Data. Canadian Journal of Plant Science, 68(1), 193–198. https://doi.org/10.4141/cjps88-018spa
dc.relation.referencesMiles, J. W. (2007). Apomixis for cultivar development in tropical forage grasses. Crop Science, 47(SUPPL. DEC.). https://doi.org/10.2135/cropsci2007.04.0016IPBSspa
dc.relation.referencesMiles, J. W., do Valle, C. B., Rao, I. M., & Euclides, V. P. B. (2004). Brachiaria grasses. In L. Sollenberger, L. Moser, & B. Burson (Eds.), Warm-season grasses (1st ed., Issue 45, pp. 745–783). https://doi.org/10.2134/agronmonogr45.c22spa
dc.relation.referencesOliveira, E., Freitas, J., & Jesus, O. (2013). AMMI analysis of yellow passion fruit Scientia Agricola. Scientia Agricola, 71(2), 139–145.spa
dc.relation.referencesOlivoto, T., Lúcio, A. D. C., da Silva, J. A. G., Marchioro, V. S., de Souza, V. Q., & Jost, E. (2019). Mean performance and stability in multi-environment trials i: Combining features of AMMI and BLUP techniques. Agronomy Journal, 111(6), 2949–2960. https://doi.org/10.2134/agronj2019.03.0220spa
dc.relation.referencesPiepho, H. P. (1994). Best Linear Unbiased Prediction (BLUP) for regional yield trials: a comparison to additive main effects and multiplicative interaction (AMMI) analysis. Theoretical and Applied Genetics, 89(5), 647–654. https://doi.org/10.1007/BF00222462spa
dc.relation.referencesPurchase, J. L., Hatting, H., & van Deventer, C. S. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. South African Journal of Plant and Soil, 17(3), 101–107. https://doi.org/10.1080/02571862.2000.10634878spa
dc.relation.referencesSa’diyah, H., & Hadi, A. F. (2016). AMMI Model for Yield Estimation in Multi-Environment Trials: A Comparison to BLUP. Agriculture and Agricultural Science Procedia, 9, 163–169. https://doi.org/10.1016/j.aaspro.2016.02.113spa
dc.relation.referencesShukla, G. K. (1972). Some statistical aspects of partitioning genotype-environmental components of variability. Heredity, 29(2), 237–245. https://doi.org/10.1038/hdy.1972.87spa
dc.relation.referencesTai, G. C. C. (1971). Genotypic Stability Analysis and Its Application to Potato Regional Trials. Crop Science, 11(2), 184–190. https://doi.org/10.2135/cropsci1971.0011183x001100020006xspa
dc.relation.referencesvan Eeuwijk, F. A. (2006). Plant Breeding: The Arnel R. Hallauer International Symposium. In Plant Breeding: The Arnel R. Hallauer International Symposium (1st ed., pp. 155–170). Blackwell Publishing. https://doi.org/10.1002/9780470752708spa
dc.relation.referencesvan Eeuwijk, F. A., Bustos-Korts, D. v., & Malosetti, M. (2016). What should students in plant breeding know about the statistical aspects of genotype × Environment interactions? Crop Science, 56(5), 2119–2140. https://doi.org/10.2135/cropsci2015.06.0375spa
dc.relation.referencesYaseen, M., Eskridge, K., & Murtaza, G. (2018). Package ‘stability.’ CRAN, 1(1), 1–22. https://doi.org/10.2135/cropsci1966.0011183x000600010011xspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.subject.ddc630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materialesspa
dc.subject.lembForrajespa
dc.subject.lembForageeng
dc.subject.lembAlimento para animalesspa
dc.subject.lembFeedseng
dc.subject.proposalInteracción genotipo por ambientespa
dc.subject.proposalSelecciónspa
dc.subject.proposalDiseño de bloques aumentadosspa
dc.subject.proposalForrajesspa
dc.titleAnálisis de estabilidad fenotípica paramétrica de híbridos apomícticos de Brachiaria (Brachiaria humidicola) en múltiples ambientesspa
dc.title.translatedAnalysis of parametric phenotypic stability in multiple environments for yield trials in Brachiaria (Brachiaria humidicola)eng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentMaestrosspa
dcterms.audience.professionaldevelopmentPúblico generalspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
1018480868.2022.pdf
Tamaño:
1.17 MB
Formato:
Adobe Portable Document Format
Descripción:
Tesis de Maestría en Ciencias Agrarias

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
5.74 KB
Formato:
Item-specific license agreed upon to submission
Descripción: