dc.contributor | González Herrera, Luis Gabriel | |
dc.contributor | López Herrera, Albeiro | |
dc.contributor | Universidad Nacional de Colombia - Sede Medellín | |
dc.contributor | Biodiversidad y Génetica Molecular \'BIOGEM\' | |
dc.creator | Londoño Gil, Marisol | |
dc.date.accessioned | 2020-08-24T21:07:22Z | |
dc.date.available | 2020-08-24T21:07:22Z | |
dc.date.created | 2020-08-24T21:07:22Z | |
dc.date.issued | 2020-07-23 | |
dc.identifier | https://repositorio.unal.edu.co/handle/unal/78201 | |
dc.description.abstract | Studying the traits involved in the growth of Blanco Orejinegro (BON) cattle and the environmental and genetic factors that are responsible for their variation is of great importance to stimulate its breeding. The aim of this work was to evaluate the genetic and genomic component of the Colombian Creole BON, using single nucleotide markers (SNPs) and to identify genomic regions associated with productive traits. A phenotypic, genetic and genomic analysis was performed. Genealogy information of 7799 animals was used, 3218, 2264, 496, 2287, 325 and 408 phenotypic records of growth traits birth weight (BW), weaning weight ( WW), yearling weight (TW), average daily gain at weaning (ADG), time to reach 120 kg (T120) of living weight and time to reach 60% of adult weight (T60%), respectively; and genotype information of 439 animals for 107999 SNPs. The fixed effects of calving number, contemporary group, sex and age at weighing and the random effects animal and matern (except PA and T60) were included. Conventional genetic evaluations were performed trough animal models uni and bivariates. The genomic evaluation also included the genomic information. The genomic association studies were performed using a Bayes Cπ. The means (± SD) found were for BW 31.8 ± 3.5 kg, WW 201.9 ± 34.2 kg at 265.9 ± 30.6 days, YW 230.5 ± 37.3 kg at 360.6 ± 16.7 days, AVD 0.645 ± 0.14 kg/day, T120 136.4 ± 27.4 days and T60% 541.1 ± 262.5 days. Low and medium direct and maternal heritability values were obtained, being 0.22 and 0.14 (BW), 0.20 and 0.15 (WW), 0.17, and 0.25 (ADG), 0.26 and 0.16 (T120), and direct heritability values of 0.20 (YW) and 0.44 (T60%). High and positive direct genetic correlations were observed between BW, WW, YW and ADG (0.84 to 0.99); high and negative (-0.66 to -1) between T20 with the traits BW, WW, YW and ADG; moderate to low and negative between T60% with BW, WW, YW and ADG (-0.02 to -0.51) and high and positive between T60% and T120 (0.60). When the genetic evaluation with the genomic one was compared, it was found that for most of the traits the ssGBLUP methodology increased between 0.01 and 0.22 the direct heritability estimate, while the maternal heritability estimate varied between -0.01 and 0.09 points difference. For most of the estimates obtained using genomics, an increase of between 0.01 and 0.11 points was observed in the accuracy of the estimated breeding values (EBVs) except for the maternal WW (-0.01) and maternal T120 (-0.17). The Pearson and Spearman correlations between the EBVs varied between 0.77 and 0.96, a large amount being greater than 0.90. Genomic associations showed different signals with effect on growth traits within genomic regions containing genes that are part of important biological processes and QTL, especially in BTA1, BTA2, BTA3, BTA6, BTA7, BTA10 and BTA14. Two regions were also identified, one region within BTA1 and the other in BTA3 with big effect on 4 of the 6 traits under analysis, evidencing the existing genetic correlation between growth traits. QTLs were identified associated with residual feed intake and with different growth traits in other breeds. These results show that some environmental factors affect growth in BON population and reveal that a substantial proportion of the variation in growth traits of Colombian BON cattle is associated with the direct additive genetic effect with the maternal genetic effect (except for YW and T60%) and that these traits can respond appropriately to selection processes. These results also indicate that there are no large deviations between the two methodologies in the calculation of the parameters and breeding values and will improve our biological, genetic and phenotypic understanding of growth in creole BON cattle from Colombia. | |
dc.description.abstract | Estudiar las características involucradas en el crecimiento de ganado Blanco Orejinegro (BON) y los factores ambientales y genéticos que son responsables de su variación es de gran importancia para estimular la cría de esta raza. El objetivo de este trabajo fue evaluar genética y genómicamente la raza Criolla Colombiana BON, e identificar regiones del genoma asociadas a características productivas. Para ello se realizó un análisis fenotípico, genético y genómico. Se utilizó información genealógica de 7799 animales, registros de 3218, 2264, 496, 2287, 325 y 408 animales para las características de crecimiento peso al nacimiento (PN), peso al destete (PD), peso al año (PA), ganancia diaria de peso entre el nacimiento y el destete (GDP), tiempo para alcanzar 120 kg (T120) de peso vivo y tiempo para alcanzar 60% de peso adulto (T60%), respectivamente; e información genotípica de 439 animales para 107.999 SNPs. Fueron incluidos los efectos fijos de número de parto, grupo contemporáneo, sexo, edad al pesaje y época y los efectos aleatorios animal y madre (excepto PA y T60). Una evaluación genética tradicional fue llevada a cabo a través de un modelo animal univariado y bivariado. La evaluación genómica se realizó a través de un modelo animal univariado que incluía información de genotipos. El análisis de asociación se realizó a través del método Bayes Cπ. Las medias fenotípicas (± DS) fueron para PN 31,8 ± 3,5 kg, PD 201,9 ± 34,2 kg a los 265,9 ± 30,6 días, PA 230,5 ± 37,3 kg a los 360,6 ± 16,7 días, GDP 0,645 ± 0,14 kg/día, T120 136,4 ± 27,4 días y T60% 541,1 ± 262,5 días. Se obtuvieron valores de heredabilidad directa y materna de bajos a medios, siendo de 0,22 y 0,14 (PN), 0,20 y 0,15 (PD), 0,17, y 0,25 (GDP), 0,26 y 0,16 (T120), y valores de heredabilidad directa de 0,20 (PA) y 0,44 (T60%). Fueron observadas correlaciones genéticas directas altas y positivas entre PN, PD, PA y GDP (entre 0,84 a 0,99); altas y negativas (entre -0,66 a -1) entre T20 con las características PN, PD, PA y GDP; moderadas a bajas y negativas entre T60% con PN, PD, PA, GDP (variando entre -0,02 a -0,51) y alta y positiva entre T60% y T120 (0,60). Al comparar la evaluación genética con la genómica se encontró que para la mayoría de las características la metodología ssGBLUP incrementó entre el 0,01 y 0,22 la estimativa de heredabilidad directa, mientras que para la heredabilidad materna la estimativa varió entre -0,01 y 0,09 puntos de diferencia. Para la mayoría de las estimativas obtenidas con utilización de información genómica, se observó un incremento entre 0,01 y 0,11 puntos en la precisión de los valores genéticos excepto para la característica PD materno (-0,01) y T120 materno (-0,17). Las correlaciones de Pearson y Spearman entre los valores genéticos variaron entre 0,77 y 0,96, siendo la mayoría superiores a 0,90. Los análisis de asociación genómica mostraron diferentes señales con alta probabilidad de tener efecto sobre las características de crecimiento de ganado BON del trópico colombiano. Procesos biológicos y QTL previamente reportados se asociaron estas características, en especial en los BTA1, BTA2, BTA3, BTA6, BTA7, BTA10 y BTA14. Se identificaron además dos regiones, una región dentro del BTA1 y otra en el BTA3 con gran efecto sobre 4 de las 6 características en análisis, evidenciando la correlación genética existente entre las características. En estas regiones se identificaron QTLs asociados por otros investigadores al consumo de alimento residual y a diferentes características de crecimiento en otras razas de ganado. Estos resultados muestran que algunos factores ambientales afectan el crecimiento en la población BON y revelan que una proporción sustancial de la variación de las características de crecimiento de ganado BON de Colombia, está asociada con el efecto genético aditivo directo y otro gran porcentaje está asociado al efecto genético materno (excepto para PA y T60%) y que estos rasgos, pueden responder adecuadamente a procesos de selección. Estos resultados también indican que no hay grandes desvíos entre las dos metodologías en el cálculo de los parámetros y valores genéticos y mejorarán nuestra comprensión biológica, genética y fenotípica del crecimiento en ganado criollo BON de Colombia. | |
dc.language | spa | |
dc.publisher | Medellín - Ciencias - Maestría en Ciencias - Biotecnología | |
dc.publisher | Escuela de biociencias | |
dc.publisher | Universidad Nacional de Colombia - Sede Medellín | |
dc.relation | Amaral, R. dos S., Carneiro, P. L. S., Martins Filho, R., Ambrosini, D. P., & Malhado, C. H. M. (2014). Tendências, parâmetros fenotípicos e genéticos de características de crescimento em bovinos Nelore mocho do Nordeste brasileiro. Revista Brasileira de Saúde e Produção Animal, 15(2), 261–271. https://doi.org/10.1590/S1519-99402014000200003 | |
dc.relation | Anzola, H. J. (2005). Conservación y utilización de las razas bovinas criollas y colombianas para el desarrollo rural sostenible. Archivos de Zootecnia, 54(206–207), 141–144. Recuperado de https://www.redalyc.org/articulo.oa?id=495/49520704 | |
dc.relation | Arboleda, O. (1979). Correlaciones entre pesos vivos y medidas corporales del ganado Blanco Orejinegro a diferentes edades. Revista Facultad Nacional de Agronomía, 32(2), 27–42. | |
dc.relation | Bedoya, G., Carvajal, L. G., Moreno, F. L., Davies, S., Derr, J., Ossa, J., & Ruiz, A. (2001). Estructura molecular y poblacional del ganado criollo Colombiano (GCC). Revista Colombiana de Ciencias Pecuarias, 14(2), 109–120. | |
dc.relation | Cañas, J. J., Ramírez, J., Arboleda, O., Ochoa, J., Vergara, O., & Cerón, M. (2008). Estimación de parámetros genéticos para peso al destete en ganado blanco orejinegro (BON) en el noroccidente colombiano. Revista MVZ Córdoba, 13(1), 1138–1145. https://doi.org/10.21897/RMVZ.405 | |
dc.relation | Conceição, F. M., Ferraz Filho, P. B., Silva, L. O. C. da, Bragança, V. L. C., & Souza, J. C. (2005). Fatoes ambientais que influenciam o peso à desmama, ano e sobreano em bovinos da raça Nelore Mocha, no Sudoeste de Mato Grosso do Sul - Brasil. Archives of Veterinary Science, 10(2), 157–165. | |
dc.relation | Corporación Autónoma Regional de las cuencas de los ríos Negro y Nare (CORNARE); Universidad de Medellín. (2006). Actualización del plan de ordenamiento y manejo integral de la cuenca cuervos , en el municipio de San Rafael Antioquia. Recuperado de https://www.cornare.gov.co/POMCAS/Documentos/Cuervos.pdf con acceso (27/12/2018) | |
dc.relation | Correa, E. D., Martínez, R., & Echeverri, J. (2011). Caracterización Productiva De Una Población De Bovinos Blanco Orejinegro (Bon) En Siete Hatos Colombianos. Actas iberoamericas de conservacion animal, 1(2011), 434–436. | |
dc.relation | Delgado Huertas, H., Rangel, J. A., & Silva Parra, A. (2018). Caracterización De La Fertilidad Química De Los Suelos En Sistemas Productivos De La Altillanura Plana, Meta, Colombia. Luna Azul, (46), 54–69. https://doi.org/10.17151/luaz.2018.46.5 | |
dc.relation | Dominguez Viveros, J., Urbina-Valenzuela, A. R., Palacios-Espinoza, A., Callejas-Juárez, N., Ortega-Gutiérrez, J. Á., Espinoza-Villavicencio, J. L., … Rodríguez-Castro, M. (2017). Caracterización del crecimiento de bovinos cebú en pruebas de comportamiento en pastoreo. Ecosistemas y Recursos Agropecuarios, 4(11), 341–348. https://doi.org/10.19136/era.a4n11.1149 | |
dc.relation | Donoghue, K. A., Bird-Gardiner, T., Arthur, P. F., Herd, R. M., & Hegarty§, R. F. (2016). Genetic and phenotypic variance and covariance components for methane emission and postweaning traits in Angus cattle. American Society Of Animal Science, 94(4), 1438–1445. https://doi.org/10.2527/jas.2015-0065 | |
dc.relation | Ernandes, J., Sousa, R. De, Filho, R. M., Maria, S., & Oliveira, P. De. (2003). Influência dos fatores de ambiente no desempenho ponderal de bovinos da raça Nelore no Estado do Ceará Influence of environment factors on ponderal performance of Nelore cattle in state of Ceará , Brazil. Revista Ciencia Agronomica, 34(2), 133–138. https://doi.org/10.1021/ja056469h | |
dc.relation | Evangelista, A. F., & de Sousa Júnior, S. C. (2017). Avaliação de características de crescimento de bovinos nelore no norte do Brasil (Vol. 01). Universidade Federal do Piauí – (UFPI). | |
dc.relation | FAO Organización de las Naciones Unidas para la Alimentación y la Agricultura. (2018). Sistema de Información sobre la Diversidad de los Animales Domésticos (DAD-IS): Blanco Orejinegro / Colombia (Cattle). Recuperado 14 de febrero de 2019, de Blanco Orejinegro / Colombia (Cattle) website: http://www.fao.org/dad-is/es/ | |
dc.relation | Gallego, J. L., Martínez, R. A., & Moreno, F. L. (2006). Índice de consanguinidad y caracterización fenotípica y genética de la raza bovina criolla Blanco Orejinegro. Corpoica Ciencia y Tecnologia Agropecuaria, 7(1), 16–24. | |
dc.relation | Garnero, A. del V, Gunski, R. J. B., Schwengber, E. B., & R, L. (2001). Comparación entre criterios de selección para características de crecimiento correlacionados con edad al primer parto en la raza Nelore. Livestock Research for Rural Development, 13(2). Recuperado de http://www.lrrd.org/lrrd13/2/garn132.htm | |
dc.relation | Grajales, H., Hernández, A., & Prieto, E. (2019). Edad y peso a la pubertad y su relación con la eficiencia reproductiva de grupos raciales bovinos en el trópico colombiano. Recuperado 11 de julio de 2019, de Livestock Research for Rural Development website: http://www.lrrd.org/lrrd18/10/graj18139.htm | |
dc.relation | Henrique, C., Malhado, M., Filho, R. M., Nonato, R., Lôbo, B., Facó, O., … Maria, S. (2005). Tendências Genéticas para Características Relacionadas à Velocidade de Crescimento em Bovinos Nelore na Região Nordeste do Brasil. Revista Brasileira de Zootecnia, 34(1), 60–65. | |
dc.relation | Hernández-Hernández, N., Martínez-González, J., Parra-racamonte, G., Ibarra-Hinojosa, M., Briones-Encinia, F., Saldaña-Campos, P., & Ortega-Rivas, E. (2015). Non-genetic effects on growth characteristics of Brahman cattle. Revista MVZ Córdoba, 20(1), 4427–4435. https://doi.org/10.21897/rmvz.72 | |
dc.relation | Instituto Geográfico Agustín Codazzi (IGAC) (2007). Estudio general de suelos y zonificación de tierras Departamento de Antioquia. Ed. Imprenta Nacional de Colombia Bogotá. p. 615-617 | |
dc.relation | Jahuey-Martínez, F.J., Parra-Bracamonte, G.M., Sifuentes-Rincón, A.M., Martínez-González, J.C., Gondro, C., García-Pérez, C.A., López-Bustamante, L.A., (2016). Genomewide association analysis of growth traits in charolais beef cattle. J. Anim. Sci. 94, 4570–4582. https://doi.org/10.2527/jas.2016-0359 | |
dc.relation | Lenth, R. V. (2016). Least-Squares Means: The R Package lsmeans. Journal of Statistical Software, 69(1), 1–33. https://doi.org/10.18637/jss.v069.i01 | |
dc.relation | López, A., Saldarriaga, O. A., Arango, A. E., Fabio, N., Olivera, M., Bedoya, G., & Ossa, J. E. (2001). Ganado Blanco Orejinegro (BON): Una alternativa para la producción en Colombia. Revista Colombiana de Ciencias Pecuarias, 14(2), 121–128. Recuperado de http://rccp.udea.edu.co/index.php/ojs/article/view/40 | |
dc.relation | Manuel, M., Cavani, L., Millen, D. D., Andrighetto, C., Lupatini, G. C., & Fonseca, R. da. (2019). Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population. Scientia Agricola, 76(6), 459–462. https://doi.org/10.1590/1678-992x-2018-0062 | |
dc.relation | Marcondes, C. R., Bergmann, J. A. G., Eler, J. P., Ferraz, J. B. S., Pereira, J. C. C., & Penna, V. M. (2000). Análise de alguns critérios de seleção para características de crescimento na raça Nelore. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 52(1), 83–89. https://doi.org/10.1590/S0102-09352000000100018 | |
dc.relation | Martínez Correal, G. (2010). Plan Nacional de acción para la conservación, mejoramiento y utilización sostenible de los recursos genéticos animales de Colombia: informe final/Recurso electrónico. (Primera Ed; FAO, Ed.). Bogotá D.C, Colombia.: Procesos Digitales Ltda. | |
dc.relation | Martínez, G., Torres, J., Guio, P., & Ballesteros, H. (2015). Utilización de toros criollos y su efecto en rasgos de reproducción y crecimiento, en un sistema de cría en la Orinoquía colombiana. Actas Iberoamericanas de Conservación Animal, 5(2015), 44–50. Recuperado de https://www.google.com.co/webhp?sourceid=chrome-instant&rlz=1C1AVNG_enCO629CO629&ion=1&espv=2&es_th=1&ie=UTF-8# | |
dc.relation | Martínez, R, Llinás, A. P., & M.-Rocha, J. F. (2013). Genetic variability in Blanco Orejinegro breed cattle populations in Colombia. Genetics and Molecular Research, 12(2), 1083–1094. https://doi.org/10.4238/2013.April.10.4 | |
dc.relation | Martínez, Rodrigo;, Vásquez, R., & Gallego, J. L. (2012). Eficiencia productiva de la raza BON en el trópico colombiano. En Corpoica (Primera ed, Vol. 1). Bogotá D.C (Cundinamarca): © Corporación Colombiana de Investigación Agropecuaria, Corpoica, C.I. Tibaitatá. | |
dc.relation | Martins, G. A., Martins Filho, R., Lima, F. de A. M., & Lôbo, R. N. B. (2000). Influência de fatores genéticos e de meio sobre o crescimento de bovinos da raça Nelore no Estado do Maranhão. Revista Brasileira de Zootecnia, 29(1), 103–107. https://doi.org/10.1590/S1516-35982000000100014 | |
dc.relation | Mascioli, A. dos S., Alencar, M. M. de, Barbosa, P. F., Oliviera, M. C. de S., & Novaes, A. P. de. (1996). Influência de fatores de meio sobre pesos de animais da raca canchim. Revista Brasileira de Zootecnia, 25(5), 853–865. | |
dc.relation | Montes-V, D., Vergara-G, O., Prieto-M, E., & Barragán-H, W. (2009). Estimación de la repetibilidad y factores que afectan el peso al nacer y al destete en ganado bovino cebú brahman. Revista Colombiana de Ciencia Animal - RECIA, 1(1), 19. https://doi.org/10.24188/recia.v1.n1.2009.405 | |
dc.relation | Montes, D., Vergara, O., Prieto, E., & Rodríguez, A. (2008). Estimación de los parámetros genéticos para el peso al nacer y al destete en ganado bovino de la raza brahman. Revista MVZ Córdoba, 13(1), 1184–1191. https://doi.org/10.21897/rmvz.409 | |
dc.relation | Moreira, H. L., Canova, E. B., Munari, D. P., Bezerra, L. A. F., Lôbo, R. B., & Paz, C. C. P. (2015). Parâmetros genéticos para período de gestação e características de crescimento pré e pós desmame em bovinos Nelore. Boletim de Indústria Animal, 72(2), 130–135. https://doi.org/10.17523/bia.v72n2p130 | |
dc.relation | Ossa, G., Abuabara, Y., Pérez García, J. E., & Martínez, G. (2011). El ganado criollo colombiano Costeño con Cuernos (CCC). Animal Genetic Resources, 48, 101–107. https://doi.org/10.1017/S2078633611000014 | |
dc.relation | Ossa, Gustavo, & Suárez, M. (2004). Efectos del medio y la herencia sobre el peso al destete de terneros de la raza romosinuano. MVZ-Córdoba, 10(2), 673–683. Recuperado de https://www.redalyc.org/articulo.oa?id=693/69310209 | |
dc.relation | R Core Team. (2019). R: A Language and Environment for Statistical Computing. Recuperado de https://www.r-project.org | |
dc.relation | Ramírez-Toro E J, Ocampo-Gallego R J, Burgos-Paz W O, Elzo M A, M.-S. R. A. y C.-M. M. F. (2019). Estimación poligénica y genómico-poligénica para características de crecimiento en ganado Blanco Orejinegro (BON). Livestock Research for Rural Development, 31(3). Recuperado de http://www.lrrd.org/lrrd31/3/ceron31030.html | |
dc.relation | Ramírez, E., Cerón-Muñoz, M., Herrera, A. C., Vergara, O. D., Arboleda, E. M., & Restrepo, L. F. (2009). Crecimiento de hembras cruzadas en el trópico colombiano. Revista Colombiana de Ciencias Pecuarias, 22, 642–647. Recuperado de http://rccp.udea.edu.co | |
dc.relation | Rocha, J. L., Pimenta Filho, E. C., Ribeiro, M. N., & Martins Filho, R. (2003). Efeitos Ambientais e Genéticos sobre o Ganho em Peso Diário de Bovinos Nelore no Estado da Paraíba. Revista Brasileira de Zootecnia, 32(2), 325–330. https://doi.org/10.1590/S1516-35982003000200010 | |
dc.relation | Souza, J. C., Malhado, C. H. M., Silva, L. O. C. da, & Ferraz Filho, P. B. (2002). Efeito do ambiente sobre o peso de bovinos da raça Guzerá no estado de São Paulo. Archives of Veterinary Science, 7(1), 57–63. | |
dc.relation | Zhang, W., Li, J., Guo, Y., Zhang, L., Xu, L., Gao, X., … Chen, Y. (2016). Multi-strategy genome-wide association studies identify the DCAF16-NCAPG region as a susceptibility locus for average daily gain in cattle. Scientific Reports, 6(November), 1–11. https://doi.org/10.1038/srep38073 | |
dc.relation | Agudelo, D., Cerón, M., & Restrepo, L. (2008). Modelación de las funciones de crecimiento aplicadas a la producción animal. Revista Colombiana de Ciencias Pecuarias, 21(1), 39–58. | |
dc.relation | Aguilar, I., Misztal, I., Johnson, D. L., Legarra, A., Tsuruta, S., & Lawlor, T. J. (2010). Hot topic : A unified approach to utilize phenotypic , full pedigree , and genomic information for genetic evaluation of Holstein final score. Journal of Dairy Science, 93(2), 743–752. https://doi.org/10.3168/jds.2009-2730 | |
dc.relation | Ángel-Marín, P. A., Cardona-Cadavid, H., & Cerón-Muñoz, M. F. (2013). Genómica en la producción animal. Revista Colombiana de Ciencia Animal - RECIA, 5(2), 497. https://doi.org/10.24188/recia.v5.n2.2013.460 | |
dc.relation | Arboleda, J. J. (2003). Resistencia natural del ganado BON a la brucelosis y fiebre aftosa. En: Contribución a la preservación y propagación del ganado criollo colombiano, ed. Biogénesis, Medellín, p 93-99 | |
dc.relation | Ballent, M., Landi, H. G., Bilbao, G., & Dick, A. (2003). Pubertad, Peso Vivo Y Desarrollo Corporal En Diferentes Biotipos Bovinos Productores De Leche: Una Actualización Bibliográfica. Itea, 99(2), 130–138. | |
dc.relation | Browning, B. L., & Browning, S. R. (2009). A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals. American Journal of Human Genetics, 84(2), 210–223. https://doi.org/10.1016/j.ajhg.2009.01.005 | |
dc.relation | Buzanskas, M. E., Grossi, D. A., Ventura, R. V., Schenkel, F. S., Sargolzaei, M., Meirelles, S. L. C., … Munari, D. P. (2014). Genome-wide association for growth traits in canchim beef cattle. PLoS ONE, 9(4). https://doi.org/10.1371/journal.pone.0094802 | |
dc.relation | Carignano, H., Roldan, D. L., Beribe, M. J., Raschia, M. A., Amadio, A., Nani, J. P., … Miretti, M. M. (2018). Genome-wide scan for commons SNPs affecting bovine leukemia virus infection level in dairy cattle. BMC Genomics, 19(1), 1–15. https://doi.org/10.1186/s12864-018-4523-2 | |
dc.relation | CENSAT Agua Viva. (2014). Ganadería insustentable en Colombia: Un Estudio Inicial. Recuperado de http://www.globalforestcoalition.net/wp-content/uploads/2010/11/informe-ganaderia-R2-Censat-Julio-2014.pdf | |
dc.relation | Chud, T. C. S., Caetano, S. L., Buzanskas, M. E., Grossi, D. A., Guidolin, D. G. F., Nascimento, G. B., … Munari, D. P. (2014). Genetic analysis for gestation length, birth weight, weaning weight, and accumulated productivity in Nellore beef cattle. Livestock Science, 170, 16–21. https://doi.org/10.1016/j.livsci.2014.09.024 | |
dc.relation | Cole, J. B., Vanraden, P. M., Connell, J. R. O., Tassell, C. P. Van, Sonstegard, T. S., & Schnabel, R. D. (2009). Distribution and location of genetic effects for dairy traits. Journal of Dairy Science, 92(6), 2931–2946. https://doi.org/10.3168/jds.2008-1762 | |
dc.relation | Crawford, A. M. (2001). A Review of QTL experiment in sheep. Proc. Assoc. Advmt. Breed. Genet., 14, 33–38. | |
dc.relation | Cuenca, N., Chavarro, F., & Díaz, O. (2008). El Sector De Ganadería Bovina En Colombia. Aplicación De Modelos De Series De Tiempo Al Inventario Ganadero. Revista de la Facultad de Ciencias Económicas, 16(1), 165–177. | |
dc.relation | DANE, D. A. N. de E. (2016). Encuesta Nacional Agropecuaria ENA-2016. Boletin tecnico comunicación informativa (DANE), (1), 1–24. Recuperado de http://www.dane.gov.co/index.php/estadisticas-por-tema/agropecuario/encuesta-nacional-agropecuaria-ena | |
dc.relation | Delgado, J. V., Molina, A., Camacho2, M. ., & Rodero, A. (1995). EVOLUCION DE LA METODOLOGIA DE LA MEJORA GENETICA EN EL VACUNO DE CARNE. Archivos de Zootecnia, 44, 111–121. | |
dc.relation | Druet, T., Schrooten, C., & de Roos, A. P. W. (2010). Imputation of genotypes from different single nucleotide polymorphism panels in dairy cattle. Journal of Dairy Science, 93(11), 5443–5454. https://doi.org/10.3168/jds.2010-3255 | |
dc.relation | Elsik, C. G., Tellam, R. L., Worley, K. C., Gibbs, R. A., Muzny, D. M., Weinstock, G. M., … Zhao, F.-Q. (2009). The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution. Science, 324(5926), 522–528. https://doi.org/10.1126/science.1169588 | |
dc.relation | FEDEGAN Federación Colombiana De Ganaderos. (2018). Indicadores Económicos sector ganadero. Recuperado 14 de febrero de 2019, de https://www.fedegan.org.co/estadisticas/indicadores-economicos | |
dc.relation | FEDEGAN Federación Colombiana De Ganaderos. (2019). Estadísticas de FEDEGAN. Recuperado 12 de marzo de 2020, de https://www.fedegan.org.co/estadisticas | |
dc.relation | Fernando, R., & Grossman, M. (1989). Marker assisted selection using best linear unbiased prediction. Genetics Selection Evolution, 21(4), 467. https://doi.org/10.1186/1297-9686-21-4-467 | |
dc.relation | Fisher, R. A. (1918). The correlation between Relatives on the Supposition of Mendelian Inheritance. Transations of the Royal Society of Edinburg, 52(1918), 399–433. | |
dc.relation | FISHER, R. A. (1936). the Use of Multiple Measurements in Taxonomic Problems. Annals of Eugenics, 7(2), 179–188. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x | |
dc.relation | Fondo Nacional del Ganado. (2020). Balance y perspectivas del sector ganadero colombiano. En Fng. Recuperado de https://www.fedegan.org.co/estadisticas/documentos-de-estadistica | |
dc.relation | Georges, M., Nielsen, D., Mackinnon, M., Mishra, A., Okimoto, R., Pasquino, A. T., … Hoeschele, I. (1995). Mapping Quantitative Trait Loci Controlling Milk Production in Dairy Cattle by Exploiting Progeny Testing. Genetics Society of America, 139(February), 907–920. | |
dc.relation | Goddard, M. E., Hayes, B. J., & Meuwissen, T. H. E. (2011). Genomic selection in livestock populations. Genet. Res., Camb., (2010), 413–421. https://doi.org/10.1017/S0016672310000613 | |
dc.relation | Granja, S., Cerquera, G. J., & Fernandez, B. O. (2012). Factores nutricionales que interfieren en el desempeño reproductivo de la hembra bovina. Revista Colombiana de Ciencia Animal - RECIA, 4(2), 458. https://doi.org/10.24188/recia.v4.n2.2012.227 | |
dc.relation | Habier, D., Fernando, R. L., Kizilkaya, K., & Garrick, D. J. (2011). Extension of the bayesian alphabet for genomic selection. BMC Bioinformatics, 12(186), 1–12. https://doi.org/10.1186/1471-2105-12-186 | |
dc.relation | Hartley, H. O., & Rao, J. N. K. (2014). Maximum-Likelihood Estimation for the Mixed Analysis of Variance Model. Biometrika, 54(1), 93. https://doi.org/10.2307/2333854 | |
dc.relation | Harvey, W. (1960). Least squares of data with unequal subclass numbers. (1 ed; USDA, Ed.). Washington: National Agricultural Library. | |
dc.relation | Hayes, B J, Bowman, P. J., Chamberlain, A. J., & Goddard, M. E. (2009). Invited review : Genomic selection in dairy cattle : Progress and challenges. Journal of Dairy Science, 92(2), 433–443. https://doi.org/10.3168/jds.2008-1646 | |
dc.relation | Hayes, Benjamin J. (2007). QTL Mapping, MAS, and Genomic Selection. A short-course. Iowa State University, 1(1), 118. | |
dc.relation | Hazel, L. N. (1943). The genetic basis for constructing selection indexes. Iowa State College, (November), 476–490. | |
dc.relation | Henderson, C R. (1953). Estimation of Variance and Covariance Components. Biometrics, 9(2), 226–252. | |
dc.relation | Henderson, C R. (1963). Selection Index and Expected Genetic Advance. Statical Genetics And Plant Breeding, 141–163. | |
dc.relation | Henderson, C R. (1973). Sire evaluation and genetic trends. Journal of Animal Acience, 1973(1), 10–41. | |
dc.relation | Henderson, C R. (1976). A Simple Method for Computing the Inverse of a Numerator Relationship Matrix Used in Prediction of Breeding Values. Biometrics, 32(1), 69–83. | |
dc.relation | Henderson, C R, & Quaas, R. L. (1976). Multiple trait evaluation using relatives’ records. Journal of Animal Acience, 43(6), 1188–1197. | |
dc.relation | Henderson, Charles R. (1984). Applications of Linear Models in Animal Breeding (1a ed.). Guelph: Guelph University. | |
dc.relation | Hickey, J. M., Kinghorn, B. P., Tier, B., Van Der Werf, J. H., & Cleveland, M. A. (2012). A phasing and imputation method for pedigreed populations that results in a single-stage genomic evaluation. Genetics Selection Evolution, 44(1), 1–11. https://doi.org/10.1186/1297-9686-44-9 | |
dc.relation | Howie, B. N., Donnelly, P., & Marchini, J. (2009). A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genetics, 5(6). https://doi.org/10.1371/journal.pgen.1000529 | |
dc.relation | ICA Instituto Colombianao Agropecuario. (2019). Censo Pecuario Nacional año 2019. Recuperado 11 de marzo de 2020, de Proyectos Estratégicos Sistema de Autorización: Laboratorios y Organismos de Inspección website: https://www.ica.gov.co/areas/pecuaria/servicios/epidemiologia-veterinaria/censos-2016/censo-2018 | |
dc.relation | Kahi, A. K., Rewe, T. O., & Kosgey, I. S. (2005). Sustainable community- based organizations for the genetic improvement of livestock in developing countries. AGRICULTURE, 34(4), 261–270. | |
dc.relation | Kizilkaya, K., Fernando, R. L., & Garrick, D. J. (2010). Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism gentotypes. Journal of Animal Acience, 88(2), 544–551. https://doi.org/10.2527/jas.2009-2064 | |
dc.relation | Legarra, A., Robert-Granié, C., Croiseau, P., Guillaume, F., & Fritz, S. (2010). Improved Lasso for genomic selection. Genetics Research, 93(01), 77–87. https://doi.org/10.1017/s0016672310000534 | |
dc.relation | Legarra, Andres, Lourenco, D. A. L., & Vitezica, Z. G. (2018). Bases for Genomic Prediction. Short course, 1(1), 1–141. Recuperado de https://linkinghub.elsevier.com/retrieve/pii/S1063458404000718 | |
dc.relation | Li, Y., Willer, C., Sanna, S., & Abecasis, G. (2009). Genotype Imputation. Annual Review of Genomics and Human Genetics, 10(1), 387–406. https://doi.org/10.1146/annurev.genom.9.081307.164242 | |
dc.relation | López, A., Ruiz, S. J., Góez, Y. P., Zapata, W., Velilla, P. A, Arango, A. E. & Inchima, S. (2009). Apoptosis as pathogenic mechanism of infection with vesicular stomatitis virus. Evidence in primary bovine fibroblast cultures. Biocell 33(2): 121–132. | |
dc.relation | López, A., Salazar, A., Restrepo, G., Zuluaga, F., & Ossa, J. (2002). Resistencia natural, in vitro, a los virus de estomatitis vesicular y de rinotraqueitis infecciosa en ganado Blanco Orejinegro. Revista Colombiana de Ciencias Pecuarias, 15(1), 100–106. | |
dc.relation | Lush, J L. (1935). The inheritance of productivity in farm livestock Pt. V. Discussion of preceding contributions. Emp. J. Exp. Agric, 3, 25–30. | |
dc.relation | Lush, Jay L. (1947). Family Merit and Individual Merit as Bases for Selection. Part I. The American Naturalist, 81(799), 241–261. https://doi.org/10.1086/681988 | |
dc.relation | Ma, P., Brøndum, R. F., Zhang, Q., Lund, M. S., & Su, G. (2013). Comparison of different methods for imputing genome-wide marker genotypes in Swedish and Finnish Red Cattle. Journal of Dairy Science, 96(7), 4666–4677. https://doi.org/10.3168/jds.2012-6316 | |
dc.relation | Marchini, J., & Howie, B. (2010). Genotype imputation for genome-wide association studies. Nature Reviews Genetics, 11(7), 499–511. https://doi.org/10.1038/nrg2796 | |
dc.relation | Marestone, B. S., De Souza Dantas Muniz, C. A., De Azambuja Ribeiro, E. L., & Simonelli, S. M. (2019). Environmental effects on pre-weaning traits in Santa Gertrudis cattle. Semina:Ciencias Agrarias, 40(3), 1297–1306. https://doi.org/10.5433/1679-0359.2019v40n3p1297 | |
dc.relation | Martínez, R., R. Toro, F. Montoya, M. Burbano, J. Tobón, J. G. y F. A. (2005). Caracterización del locus BOLA-DRB3 en Ganado Criollo Colombiano y asociación con resistencia a enfermedades. Archivos de Zootecnia, 54(206–207), 349–356. | |
dc.relation | Martínez, G. (1992). El ganado criollo colombiano Blanco Orejinegro (BON). Boletin de Información Sobre Recursos Genéticos Animales. FAO, 31–39. Recuperado de ftp://ftp.fao.org/docrep/fao/012/u8030t/u8030t01.pdf | |
dc.relation | Martínez, R., Toro, R., Montoya, F., Burbano, M., Tobón, J., Gallego, J., & Ariza, F. (2005). Evaluación genética para resistencia a brucelosis en ganado ciollo colombiano BON. Archivos de Zootecnia, 54, 333–340. | |
dc.relation | Matukumalli, L. K., Lawley, C. T., Schnabel, R. D., Taylor, J. F., Allan, M. F., Heaton, M. P., … Van Tassell, C. P. (2009). Development and Characterization of a High Density SNP Genotyping Assay for Cattle. PLoS ONE, 4(4). https://doi.org/10.1371/journal.pone.0005350 | |
dc.relation | Meredith, B. K., Kearney, F. J., Finlay, E. K., Bradley, D. G., Fahey, A. G., Berry, D. P., & Lynn, D. J. (2012). Genome-wide associations for milk production and somatic cell score in Holstein-Friesian cattle in Ireland. BMC Genetics, 13(1), 21. https://doi.org/10.1186/1471-2156-13-21 | |
dc.relation | Meuwissen, T. H. E., Hayes, B. J., & Goddard, M. E. (2001). Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157(4), 1819–1829. https://doi.org/11290733 | |
dc.relation | Ministerio de Agricultira y Desarrollo Rural, M. (2003). Situación de los recursos zoogenéticos en Colombia. (1a ed.; MADR, CORPOICA, UN, ACP, FENAVI, FAO, … INPA., Eds.). Bogotá D.C, Colombia. | |
dc.relation | Olsen, H. G., Knutsen, T. M., Kohler, A., Svendsen, M., Gidskehaug, L., Grove, H., … Lien, S. (2017). Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13. Genetics Selection Evolution, 49(1), 1–13. https://doi.org/10.1186/s12711-017-0294-5 | |
dc.relation | Park, T., & Casella, G. (2008). The Bayesian Lasso. Journal of the American Statistical Association, 103(482), 681–686. https://doi.org/10.1198/016214508000000337 | |
dc.relation | Patterson, H. D., & Thompson, R. (1971). Recovery of inter-block information when block sizes are unequal. Biometrika, 58(3), 545–554. https://doi.org/10.1093/biomet/58.3.545 | |
dc.relation | Pérez O’Brien, A. M., Mészáros, G., Utsunomiya, Y. T., Sonstegard, T. S., Garcia, J. F., Van Tassell, C. P., … Sölkner, J. (2014). Linkage disequilibrium levels in Bos indicus and Bos taurus cattle using medium and high density SNP chip data and different minor allele frequency distributions. Livestock Science, 166(1), 121–132. https://doi.org/10.1016/j.livsci.2014.05.007 | |
dc.relation | Rao, D. P., & Edwards, L. L. (1971). On the Diffusion Model o f Mao and Toor A n Experimental Investigation of a Porous Medium Model with Nonuniform Pores. AlChE Journal, 17(5), 2–3. | |
dc.relation | Rincón, J., & Quintero, J. (2015). Comparación de modelos no lineales para describir el crecimiento en ganado Blanco Orejinegro (BON). Revista CES Medicina Veterinaria y Zootecnia, 10(1), 31–37. | |
dc.relation | Ruiz, S.J., Ossa, J.E., Barrera, J., Rugeles, M.T. & López-H, A. (2015). Bovine Fibroblasts Response to Foot-and-Mouth Disease Virus: Influence of Integrins and Soluble Factors in Resistance. Journal of Veterinary Science & Technology, 06(02): 1-6. | |
dc.relation | Sargolzaei, M., Chesnais, J. P., & Schenkel, F. S. (2014). A new approach for efficient genotype imputation using information from relatives. BMC Genomics, 15(1). https://doi.org/10.1186/1471-2164-15-478 | |
dc.relation | Schaeffer, L. R. (2006). Strategy for applying genome-wide selection in dairy cattle. Journal of Animal Breeding and Genetics, 123(4), 218–223. https://doi.org/10.1111/j.1439-0388.2006.00595.x | |
dc.relation | Schefers, J. M., & Weigel, K. A. (2012). Genomic selection in dairy cattle: Integration of DNA testing into breeding programs. Animal Frontiers, 2(1), 4–9. https://doi.org/10.2527/af.2011-0032 | |
dc.relation | Simianer, H., & Bieber, A. (2014). Genomic breeding programs – a large step forward for low-input dairy cattle breeding? Recuperado 13 de enero de 2019, de LowiInputBreeds Technical Note website: ww.LowInputBreeds.org | |
dc.relation | Smith, H. F. (1936). A discrimant function for plant selection. Annals of Eugenics, 7, 240–250. https://doi.org/10.1111/j.1469-1809.1936.tb02143.x | |
dc.relation | Tirados, S. P. F. (2001). La mejora genética animal en la segunda mitad del siglo XX. Archivos De Zootecnia, 50, 517–546. | |
dc.relation | VanRaden, P.M., Van Tassell, C. P., Wiggans, G. R., Sonstegard, T. S., Schnabel, R. D., Taylor, J. F., & Schenkel, F. S. (2009). Invited Review: Reliability of genomic predictions for North American Holstein bulls. Journal of Dairy Science, 92(1), 16–24. https://doi.org/10.3168/jds.2008-1514 | |
dc.relation | VanRaden, Paul M, O’Connell, J. R., Wiggans, G. R., & Weigel, K. A. (2011). Genomic evaluations with many more genotypes. Genetics Selection Evolution, 43(1), 1–11. https://doi.org/10.1186/1297-9686-43-10 | |
dc.relation | Visscher, P. M., Moser, G., Wray, N. R., Hayes, B. J., Goddard, M. E., & Lee, S. H. (2015). Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model. PLOS Genetics, 11(4), e1004969. https://doi.org/10.1371/journal.pgen.1004969 | |
dc.relation | Wiggans, G.R., Sonstegard, T. S., VanRaden, P. M., Matukumalli, L. K., Schnabel, R. D., Taylor, J. F., … Van Tassell, C. P. (2009). Selection of single-nucleotide polymorphisms and quality of genotypes used in genomic evaluation of dairy cattle in the United States and Canada. Journal of Dairy Science, 92(7), 3431–3436. https://doi.org/10.3168/jds.2008-1758 | |
dc.relation | Wiggans, George R., Cole, J. B., Van Tassell, C. P., VanRaden, P. M., Ruiz-López, F. J., & García-Ruiz, A. (2016). Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection. Proceedings of the National Academy of Sciences, 113(28), E3995–E4004. https://doi.org/10.1073/pnas.1519061113 | |
dc.relation | Zaabza, H. Ben, Gara, A. Ben, & Rekik, B. (2017). Bayesian Modeling in Genetics and Genomics. En Bayesian Inference (pp. 207–220). https://doi.org/10.5772/intechopen.70167 | |
dc.relation | Zhan, B., Fadista, J., Thomsen, B., Hedegaard, J., Panitz, F., & Bendixen, C. (2011). Global assessment of genomic variation in cattle by genome resequencing and high-throughput genotyping. BMC Genomics, 12(557), 1–20. https://doi.org/10.1186/1471-2164-12-557 | |
dc.relation | Zhang, W., Li, J., Guo, Y., Zhang, L., Xu, L., Gao, X., … Chen, Y. (2016a). Multi-strategy genome-wide association studies identify the DCAF16-NCAPG region as a susceptibility locus for average daily gain in cattle. Scientific Reports, 6(November), 1–11. https://doi.org/10.1038/srep38073 | |
dc.relation | Zhang, X., Lourenco, D., Legarra, A., Misztal, I., & Aguilar, I. (2016b). Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWAS. Frontiers in Genetics, 7(August), 1–14. https://doi.org/10.3389/fgene.2016.00151 | |
dc.relation | Zhang, Z., Ober, U., Erbe, M., Zhang, H., Gao, N., He, J., … Simianer, H. (2014). Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies. PLoS ONE, 9(3), 1–12. https://doi.org/10.1371/journal.pone.0093017 | |
dc.relation | Albuquerque, L. G., & Meyer, K. (2001). Estimates of covariance functions for growth from birth to 630 days of age in Nelore cattle. Journal of Animal Science, 79(11), 2776–2789. https://doi.org/10.2527/2001.79112776x | |
dc.relation | Araújo Martins, G., Martins Filho, R., Lima, F. de A. M., & Lôbo, R. N. B. (2000). Influência de fatores genéticos e de meio sobre o crescimento de bovinos da raça Nelore no Estado do Maranhão. Revista Brasileira de Zootecnia, 29(1), 103–107. https://doi.org/10.1590/S1516-35982000000100014 | |
dc.relation | Bolivar, D., Ramirez, E., Vergara, O., Restrepo, L., Arboleda, E., Cerón, M. (2010). Parámetros genéticos para el control del peso al nacimiento en bovinos de carne : cruzados en el trópico bajo colombiano. Rev. Lasallista Investig. 6, 14–23. https://doi.org/10.1109/MICRO.2000.898073 | |
dc.relation | De Souza, J. C., Gonçalves de Resende, M. P., Campos da Silva, L. O., Falci Mota, M., Freitas, J. A., Gondo, A., & Rosana, M. da S. (2018). Parâmetros e tendências genéticas para peso ao sobreano de animais Nelore criados no estado do Paraná, Brasil. Revista Colombiana de Ciencia Animal - RECIA, 10(1), 68. https://doi.org/10.24188/recia.v10.n1.2018.632 | |
dc.relation | Garnero, A. del V., Barbosa, R., Framartino, L. A., & Nunes de Oliveira, H. (2001). Comparação entre Alguns Critérios de Seleção para Crescimento na Raça Nelore. Revista Brasilera de Zootecnia, 30(3), 714–718. | |
dc.relation | Gonçalves, F. M., Pires, A. V., Pereira, I. G., Garcia, D. A., Farah, M. M., Meira, C. T., & Cruz, V. A. R. (2011). Avaliação genética para peso corporal em um rebanho Nelore. Arquivo Brasileiro de Medicina Veterinaria e Zootecnia, 63(1), 158–164. https://doi.org/10.1590/S0102-09352011000100024 | |
dc.relation | Koetz Júnior, C., Roso, V. M., Claus, L. A. M., Oliveira, R. P. L. de, Fávaro, P. da C., Borges, M. H. F., … Ribeiro, E. L. de A. (2017). Genetic trends for mature body weight, visual scores, and growth traits in Nellore cattle. Ciência Rural, 47(3), 1–6. https://doi.org/10.1590/0103-8478cr20151506 | |
dc.relation | Koetz Junior, C., Roso, V. M., Fávaro, P. da C., Pereira, G. R., Borges, M. H. F., Barca Junior, F. A., … Ribeiro, E. L. de A. (2019). Heritability estimation and genetic correlations for mature weight, visual scores, and growth traits in Nellore cattle. Revista Brasileira de Zootecnia, 48(0). https://doi.org/10.1590/rbz4820170246 | |
dc.relation | Martínez, R.A., Dassonneville, R., Bejarano, D., Jimenez, A., Even, G., Mészáros, G., & Sölkner, J. (2016). Direct and maternal genetic effects on growth, reproduction, and ultrasound traits in zebu Brahman cattle in Colombia1. Journal of Animal Science, 94(7), 2761–2769. https://doi.org/10.2527/jas.2016-0453 | |
dc.relation | Martínez, R.A, Pérez, J. E., & Herazo, T. (2006). Estimation of genetic parameters and variance components for growth traits in Costeño Con Cuernos cattle in Colombian humid tropic. 8th World Congress on Genetics Applied to Livestock Production, August 13-18, 2006, Belo Horizonte, MG, Brasil, 94–100. Belo Horizonte, MG, Brasil ESTIMATION. | |
dc.relation | Martínez Rocha, R. E., Ramírez Valverde, R., Núñez Domínguez, R., & García Muñiz, J. G. (2018). Parámetros y tendencias genéticas de variables de crecimiento para bovinos Romosinuano en México. Nova Scientia, 10(2), 310–325. https://doi.org/10.21640/ns.v10i21.1595 | |
dc.relation | Martínez, Rodrigo, Onofre, G., & Polanco, N. (2009). Parámetros genéticos y tendencias para características de crecimiento en el ganado criollo sanmartinero en los Llanos Orientales de Colombia. Corpoica Ciencia y Tecnología Agropecuaria, 10(2), 196–204. https://doi.org/10.21930/rcta.vol10_num2_art:142 | |
dc.relation | Meyer, K. (1992). Bias and sampling covariances of estimates of variance components due to maternal effects. Genetics Selection Evolution, 24(6), 487. https://doi.org/10.1186/1297-9686-24-6-487 | |
dc.relation | Meyer, Karin. (2007). WOMBAT: a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). Journal of Zhejiang University. Science. B., 8(11), 815–821. https://doi.org/10.1631/jzus.2007.B0815 | |
dc.relation | Montes, D., Vergara, O., Prieto, E., & Rodríguez, A. (2008). Estimación de los parámetros genéticos para el peso al nacer y al destete en ganado bovino de la raza brahman. Revista MVZ Córdoba, 13(1), 1184–1191. https://doi.org/10.21897/rmvz.409 | |
dc.relation | Ortiz Peña, C.D., Carvalheiro, R., De Queiroz, S.A., Fries, L.A., 2004. Comparison of selection criteria for pre-weaning growth traits of Nelore cattle. Livest. Prod. Sci. 86, 163–167. https://doi.org/10.1016/S0301-6226(03)00164-7 | |
dc.relation | Ossa Saraz, G. A., Narváez Pérez, H. J., Noriega Márquez, J. G., Pérez Garcia, J. E., & Vergara Garay, O. D. (2014). Parámetros y tendencias genéticas para características de crecimiento en una población de ganado criollo Romosinuano. Livestock Research for Rural Development, 26(10). Recuperado de http://www.lrrd.org/lrrd26/10/ossa26191.html | |
dc.relation | Pérez García, J. E., Mitat, A., Ossa Saraz, G. A., Simanca, J. C., & Vergara Garay, O. D. (2015). Componentes de covarianza y parámetros genéticos para características de crecimiento en una población de ganado Costeño con Cuernos en Colombia Covariance components and genetic parameters for growth traits in a population of " Coastal Costeño con Cuernos. Livestock Research for Rural Development, 21(1), 1–10. Recuperado de https://www.researchgate.net/publication/270581782%0AComponentes | |
dc.relation | Quijano, J. H., & Echeverri-Zuluaga, J. jul. (2015). Genética cuantitativa aplicada al mejoramiento animal (1a ed.). Medellín, Colombia: Universidad Nacional de Colombia. | |
dc.relation | Quintero, J.C., Triana, J.G., Quijano, J.H., Arboleda, E., (2007). Influencia de la inclusión del efecto materno en la estimación de parámetros genéticos del peso al destete en un hato de ganado de carne. Rev. Colomb. Ciencias Pecu. 20(2), 117–123. | |
dc.relation | Ramírez, E., Cerón-Muñoz, M., Herrera, A. C., Vergara, O. D., Arboleda, E. M., & Restrepo, L. F. (2009). Crecimiento de hembras cruzadas en el trópico colombiano. Revista Colombiana de Ciencias Pecuarias, 22, 642–647. Recuperado de http://rccp.udea.edu.co | |
dc.relation | Rocha, J. L., Pimenta Filho, E. C., Ribeiro, M. N., & Martins Filho, R. (2003). Efeitos Ambientais e Genéticos sobre o Ganho em Peso Diário de Bovinos Nelore no Estado da Paraíba. Revista Brasileira de Zootecnia, 32(2), 325–330. https://doi.org/10.1590/S1516-35982003000200010 | |
dc.relation | Schmidek A, Rodrigues Paranhos M, Zerlotti Mercadante ME, Macedo de Toledo L, Gonçalves Cyrillo J, & Branco RH. (2013). Genetic and non-genetic effects on calf vigor at birth and preweaning mortality in nellore calves. Revista Brasileira de Zootecnia, 42(6), 421–427. https://doi.org/10.1590/S1516-35982013000600006 | |
dc.relation | Santana, B. F., da Fonseca, R., Manuel, M., Mamani, G. C. M., Eler, J. P., & Ferraz, J. B. S. (2017). Viabilidade do uso de características “dias para um peso específico” em programas de melhoramento genético de bovinos da raça Nelore. Revista Brasileira de Saude e Producao Animal, 18(2), 260–268. https://doi.org/10.1590/S1519-99402017000200005 | |
dc.relation | Sarmiento, R. M., & Garcia, J. P. (2007). Estimation of genetic parameters and variance components for growth traits in Romosinuano cattle in the Colombian humid tropics. Genetics and Molecular Research, 6(3), 482–491. | |
dc.relation | Silva, M.H.M.A. da, Malhado, C.H.M., Kern, E.L., Daltro, D. dos S., Cobuci, J.A., Carneiro, P.L.S., (2019). Inbreeding depression in Holstein cattle in Brazil. Rev. Bras. Zootec. 48, e20170212. https://doi.org/10.1590/rbz4820170212 | |
dc.relation | Teixeira, B. B., Mota, R. R., Lôbo, R. B., Da Silva, L. P., Carneiro, A. P. S., Da Silva, F. G., … E Silva, F. F. (2018). Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models. Czech Journal of Animal Science, 63(6), 212–221. https://doi.org/10.17221/21/2017-CJAS | |
dc.relation | Vargas, C. A., Elzo, M. A., Chase, C. C., Chenoweth, P. J., & Olson, T. A. (1998). Estimation of Genetic Parameters for Scrotal Circumference, Age at Puberty in Heifers, and Hip Height in Brahman Cattle. Journal of Animal Science, 76(10), 2536–2541. https://doi.org/10.2527/1998.76102536x | |
dc.relation | Vergara, O. D., Ceron-Muñoz, M. F., Arboleda, E. M., Orozco, Y., & Ossa, G. A. (2009). Direct genetic, maternal genetic, and heterozygosity effects on weaning weight in a Colombian multibreed beef cattle population. Journal of Animal Science, 87(2), 516–521. https://doi.org/10.2527/jas.2007-0636 | |
dc.relation | Vergara, O. D., Elzo, M. a., Ceron-Muñoz, M. F., & Arboleda, E. M. (2009). Weaning weight and post-weaning gain genetic parameters and genetic trends in a Blanco Orejinegro-Romosinuano-Angus-Zebu multibreed cattle population in Colombia. Livestock Science, 124(1–3), 156–162. https://doi.org/10.1016/j.livsci.2009.01.00 | |
dc.relation | Bernardes, P. A., Nascimento, G. B. do, Savegnago, R. P., Buzanskas, M. E., Watanabe, R. N., de Almeida Regitano, L. C., … Munari, D. P. (2019). Evaluation of imputation accuracy using the combination of two high-density panels in Nelore beef cattle. Scientific Reports, 9(1), 17920. https://doi.org/10.1038/s41598-019-54382-w | |
dc.relation | Bradford, H. L., Masuda, Y., Cole, J. B., Misztal, I., & VanRaden, P. M. (2019). Modeling pedigree accuracy and uncertain parentage in single-step genomic evaluations of simulated and US Holstein datasets. Journal of Dairy Science, 102(3), 2308–2318. https://doi.org/10.3168/jds.2018-15419 | |
dc.relation | Carvalheiro, R., Boison, S. A., Neves, H. H. R., Sargolzaei, M., Schenkel, F. S., Utsunomiya, Y. T., … Garcia, J. F. (2014). Accuracy of genotype imputation in Nelore cattle. Genetics Selection Evolution, 46(1), 1–11. https://doi.org/10.1186/s12711-014-0069-1 | |
dc.relation | Croué, I., & Ducrocq, V. (2017). Genomic and single-step evaluations of carcass traits of young bulls in dual-purpose cattle. Journal of Animal Breeding and Genetics, 134(4), 300–307. https://doi.org/10.1111/jbg.12261 | |
dc.relation | Elzo, M. A., Mateescu, R. G., Johnson, D. D., Scheffler, T. L., Scheffler, J. M., Carr, C., … Driver, J. D. (2017). Genomic-polygenic and polygenic predictions for nine ultrasound and carcass traits in Angus-Brahman multibreed cattle using three sets of genotypes. Livestock Science, 202(November 2016), 58–66. https://doi.org/10.1016/j.livsci.2017.05.027 | |
dc.relation | Forni, S., Aguilar, I., & Misztal, I. (2011). Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information. Genetics Selection Evolution, 43(1), 1–7. https://doi.org/10.1186/1297-9686-43-1 | |
dc.relation | Fragomeni, B. O., Lourenco, D. A. L., Tsuruta, S., Masuda, Y., Aguilar, I., Legarra, A., … Misztal, I. (2015). Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. Journal of Dairy Science, 98(6), 4090–4094. https://doi.org/10.3168/jds.2014-9125 | |
dc.relation | Gerstmayr, S. (1992). Impact of the data structure on the reliability of the estimated genetic parameters in an animal model with maternal effects. Journal of Animal Breeding and Genetics, 109(1–6), 321–336. https://doi.org/10.1111/j.1439-0388.1992.tb00412.x | |
dc.relation | Guarini, A. R., Lourenco, D. A. L., Brito, L. F., Sargolzaei, M., Baes, C. F., Miglior, F., … Schenkel, F. S. (2018). Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle. Journal of Dairy Science, 101(9), 8076–8086. https://doi.org/10.3168/jds.2017-14193 | |
dc.relation | Hayes, B J, Bowman, P. J., Chamberlain, A. J., & Goddard, M. E. (2009). Invited review : Genomic selection in dairy cattle : Progress and challenges. Journal of Dairy Science, 92(2), 433–443. https://doi.org/10.3168/jds.2008-1646 | |
dc.relation | Hayes, Ben J., Bowman, P. J., Chamberlain, A. C., Verbyla, K., & Goddard, M. E. (2009). Accuracy of genomic breeding values in multi-breed dairy cattle populations. Genetics Selection Evolution, 41(1), 1–9. https://doi.org/10.1186/1297-9686-41-51 | |
dc.relation | Legarra, A., Christensen, O. F., Aguilar, I., & Misztal, I. (2014). Single Step, a general approach for genomic selection. Livestock Science, 166(August 2014), 54–65. https://doi.org/10.1016/j.livsci.2014.04.029 | |
dc.relation | Lourenco, D. A. L., Misztal, I., Wang, H., Aguilar, I., Tsuruta, S., & Bertrand, J. K. (2013). Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models 1. J. Anim. Sci, 91, 4090–4098. https://doi.org/10.2527/jas2012-5826 | |
dc.relation | Lourenco, D. A. L., Tsuruta, S., Fragomeni, B. O., Masuda, Y., Aguilar, I., Legarra, A., … Misztal, I. (2015). Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus. Journal of Animal Science, 93(6), 2653–2662. https://doi.org/10.2527/jas.2014-8836 | |
dc.relation | Ma, P., Brøndum, R. F., Zhang, Q., Lund, M. S., & Su, G. (2013). Comparison of different methods for imputing genome-wide marker genotypes in Swedish and Finnish Red Cattle. Journal of Dairy Science, 96(7), 4666–4677. https://doi.org/10.3168/jds.2012-6316 | |
dc.relation | Corpoica, C.I. Tibaitatá.
Martínez, Rodrigo, Bejarano, D., Gómez, Y., Dasoneville, R., Jiménez, A., Even, G., … Mészáros, G. (2017). Genome-wide association study for birth, weaning and yearling weight in Colombian Brahman cattle. Genetics and Molecular Biology, 40(2), 453–459. https://doi.org/10.1590/1678-4685-GMB-2016-0017 | |
dc.relation | Masuda, Y., VanRaden, P. M., Misztal, I., & Lawlor, T. J. (2018). Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in US Holsteins. Journal of Dairy Science, 101(6), 5194–5206. https://doi.org/10.3168/jds.2017-13310 | |
dc.relation | Misztal I, Bradford HL, Lourenco, DAL, Tsuruta S, Masuda Y, Legarra A. (2017). Studies on inflation of GEBV in single-step GBLUP for type. Interbull Bull 51:38-42. | |
dc.relation | Misztal, I., Legarra, A., & Aguilar, I. (2009). Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. Journal of Dairy Science, 92(9), 4648–4655. https://doi.org/10.3168/jds.2009-2064 | |
dc.relation | Misztal, P. I. (2016). Genomic analyses with emphasis on single-step. Condensed notes for short-course taught in 2015 in Poznan, Poland, 1–17. | |
dc.relation | Mrode, R. ., & Thompson, R. (2005). Linear Models for the Prediction of Animal Breeding Values (2a ed.; R. A. Mrode, ed.). Trowbridge.: CABI Publishing. | |
dc.relation | Neogen GeneSeek Operations. (2018). GeneSeek Genomic Profiler Bovine 50K. 0–3. Recuperado de www.neogen.com | |
dc.relation | Niño, C. A. M., Elzo, M. A., Perdomo, C. M., & Rodriguez, A. J. (2012). Genetic parameters and breeding values for live weight using random regression models in a bos taurus-bos indicus multibreed cattle population in Colombia. Revista Colombiana de Ciencias Pecuarias, 25(4), 548–565. | |
dc.relation | Onogi, A., Ogino, A., Komatsu, T., Shoji, N., Simizu, K., Kurogi, K., … Iwata, H. (2014). Genomic prediction in Japanese Black cattle: Application of a single-step approach to beef cattle. Journal of Animal Science, 92(5), 1931–1938. https://doi.org/10.2527/jas.2014-7168 | |
dc.relation | Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC, (2007). PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81:559-75. https://doi.org/10.1086/519795. Epub 2007 Jul 25. PMID: 17701901; PMCID: PMC1950838. | |
dc.relation | Reimann, F. A., Boligon, A. A., Campos, G. S., Cardoso, L. L., Junqueira, V. S., & Cardoso, F. F. (2018). Genetic parameters and accuracy of traditional and genomic breeding values for eye pigmentation, hair coat and breed standard in Hereford and Braford cattle. Livestock Science, 213(February), 44–50. https://doi.org/10.1016/j.livsci.2018.04.007 | |
dc.relation | Rolf, M. M., Garrick, D. J., Fountain, T., Ramey, H. R., Weaber, R. L., Decker, J. E., … Taylor, J. F. (2015). Comparison of Bayesian models to estimate direct genomic values in multi-breed commercial beef cattle. Genetics, selection, evolution : GSE, 47. https://doi.org/10.1186/s12711-015-0106-8 | |
dc.relation | Schaeffer, L. R. (2006). Strategy for applying genome wide selection in dairy cattle. Journal of Animal Breeding and Genetics, 123(4), 218–223. | |
dc.relation | Schefers, J. M., & Weigel, K. A. (2012). Genomic selection in dairy cattle: Integration of DNA testing into breeding programs. Animal Frontiers, 2(1), 4–9. https://doi.org/10.2527/af.2011-0032 | |
dc.relation | VanRaden, P. M. (2008). Efficient methods to compute genomic predictions. Journal of Dairy Science, 91(11), 4414–4423. https://doi.org/10.3168/jds.2007-0980 | |
dc.relation | Wiggans, G. R., Cole, J. B., Van Tassell, C. P., VanRaden, P. M., Ruiz-López, F. J., & García-Ruiz, A. (2016). Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection. Proceedings of the National Academy of Sciences, 113(28), E3995–E4004. https://doi.org/10.1073/pnas.1519061113 | |
dc.relation | Young AI (2019) Solving the missing heritability problem. PLoS Genet 15:1–7. https://doi.org/10.1371/journal.pgen.1008222 | |
dc.relation | Zambrano, J. C., Echeverri Zuluaga, J. J., & López Herrera, A. (2019). Evaluación genómica en ganado Holstein Colombiano, usando genotipos imputados a densidad media. Revista MVZ Córdoba, 24(2), 7248–7255. https://doi.org/10.21897/rmvz.1704 | |
dc.relation | Zambrano, J., Rincón, J., López-herrera, A., & Echeverri-Zuluaga, J. J. (2015). Estimation and comparison of conventional and genomic breeding values in Holstein cattle of Antioquia , Colombia. Revista MVZ Cordoba, 20(3), 4739–4753. | |
dc.relation | Ashwell, M. S., Heyen, D. W., Weller, J. I., Ron, M., Sonstegard, T. S., Van Tassell, C. P., & Lewin, H. A. (2005). Detection of quantitative trait loci influencing conformation traits and calving ease in Holstein-Friesian cattle. Journal of Dairy Science, 88(11), 4111–4119. https://doi.org/10.3168/jds.S0022-0302(05)73095-2 | |
dc.relation | Campos, G. S., Reimann, F. A., Junqueira, V. S., Braccini, J., Cardoso, L. L., Sollero, B. P., … Zootecnia, D. De. (2018). Tag-SNP selection using Bayesian genome-wide association study for growth and adaptation traits in Hereford and Braford cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. Volume Electronic Poster Session - Methods and Tools - Prediction 2, (November), 484. https://doi.org/10.1111/jbg.12458 | |
dc.relation | Carreño, L. O. D., da Conceição Pessoa, M., Espigolan, R., Takada, L., Bresolin, T., Cavani, L., … da Fonseca, R. (2019). Genome Association Study for Visual Scores in Nellore Cattle Measured at Weaning. BMC Genomics, 20(1), 1–9. https://doi.org/10.1186/s12864-019-5520-9 | |
dc.relation | Carvalho, F. E., Espigolan, R., Berton, M. P., Neto, J. B. S., Silva, R. P., Grigoletto, L., … Baldi, F. (2020). Genome-wide association study and predictive ability for growth traits in Nellore cattle. Livestock Science, 231(November 2019), 103861. https://doi.org/10.1016/j.livsci.2019.103861 | |
dc.relation | Carvalho, M. E., Baldi, F. S., Alexandre, P. A., Santana, M. H. A., Ventura, R. V., Bueno, R. S., … Ferraz, J. B. S. (2019). Genomic regions and genes associated with carcass quality in Nelore cattle. Genetics and Molecular Research, 18(1), 1–15. https://doi.org/10.4238/gmr18226 | |
dc.relation | Casas, E., Shackelford, S. D., Keele, J. W., Koohmaraie, M., Smith, T. P. L., & Stone, R. T. (2003). Detection of quantitative trait loci for growth and carcass composition in cattle. Journal of Animal Science, 81(12), 2976–2983. https://doi.org/10.2527/2003.81122976x | |
dc.relation | Casas, E., Shackelford, S. D., Keele, J. W., Stone, R. T., Kappes, S. M., & Koohmaraie, M. (2000). Quantitative trait loci affecting growth and carcass composition of cattle segregating alternate forms of myostatin. Journal of Animal Science, 78(3), 560–569. https://doi.org/10.2527/2000.783560x | |
dc.relation | De Las Heras-Saldana, S., Clark, S. A., Duijvesteijn, N., Gondro, C., Van Der Werf, J. H. J., & Chen, Y. (2019). Combining information from genome-wide association and multi-tissue gene expression studies to elucidate factors underlying genetic variation for residual feed intake in Australian Angus cattle. BMC Genomics, 20(1), 1–16. https://doi.org/10.1186/s12864-019-6270-4 | |
dc.relation | Fernández, J. C., Pérez, J. E., Herrera, N., Martínez, R., Bejarano, D., & Rocha, J. F. (2019). Genomic association study for age at first calving and calving interval in Romosinuano and Costeño con Cuernos cattle. Genetics and Molecular Research, 18(2), 1–13. https://doi.org/10.4238/gmr18258 | |
dc.relation | Fortes, M. R. S., Li, Y., Collis, E., Zhang, Y., & Hawken, R. J. (2013). The IGF1 pathway genes and their association with age of puberty in cattle. Animal Genetics, 44(1), 91–95. https://doi.org/10.1111/j.1365-2052.2012.02367.x | |
dc.relation | Gan, Q. F., Li, Y. R., Liu, Q. H., Lund, M., Su, G. S., & Liang, X. W. (2019). Genome-wide association studies for the concentrations of insulin, triiodothyronine, and thyroxine in Chinese Holstein cattle. Tropical Animal Health and Production, 4. https://doi.org/10.1007/s11250-019-02170-z | |
dc.relation | Garrick, D. J., Taylor, J. F., & Fernando, R. L. (2009). Deregressing estimated breeding values and weighting information for genomic regression analyses. Genetics Selection Evolution, 41(1), 1–8. https://doi.org/10.1186/1297-9686-41-55 | |
dc.relation | Guarini, A. R., Lourenco, D. A. L., Brito, L. F., Sargolzaei, M., Baes, C. F., Miglior, F., … Schenkel, F. S. (2018). Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle. Journal of Dairy Science, 101(9), 8076–8086. https://doi.org/10.3168/jds.2017-14193 | |
dc.relation | Gutiérrez-Gil, B., Wiener, P., Nute, G. R., Burton, D., Gill, J. L., Wood, J. D., & Williams, J. L. (2008). Detection of quantitative trait loci for meat quality traits in cattle. Animal Genetics, 39(1), 51–61. https://doi.org/10.1111/j.1365-2052.2007.01682.x | |
dc.relation | Han, B., Yuan, Y., Shi, L., Li, Y., Liu, L., & Sun, D. (2019). Identification of single nucleotide polymorphisms of PIK3R1 and DUSP1 genes and their genetic associations with milk production traits in dairy cows. Journal of Animal Science and Biotechnology, 10(1), 1–11. https://doi.org/10.1186/s40104-019-0392-z | |
dc.relation | Hayes, B., & Goddard, M. (2010). Genome-wide association and genomic selection in animal breeding. Genome, 53(11), 876–883. https://doi.org/10.1139/G10-076 | |
dc.relation | Höglund, J. K., Buitenhuis, A. J., Guldbrandtsen, B., Su, G., Thomsen, B., & Lund, M. S. (2009). Overlapping chromosomal regions for fertility traits and production traits in the Danish Holstein population. Journal of Dairy Science, 92(11), 5712–5719. https://doi.org/10.3168/jds.2008-1964 | |
dc.relation | Höglund, Johanna K., Guldbrandtsen, B., Lund, M. S., & Sahana, G. (2012). Analyzes of genome-wide association follow-up study for calving traits in dairy cattle. BMC Genetics, 13. https://doi.org/10.1186/1471-2156-13-71 | |
dc.relation | Hollmann, A. K., Bleyer, M., Tipold, A., Neßler, J. N., Wemheuer, W. E., Schütz, E., & Brenig, B. (2017). A genome-wide association study reveals a locus for bilateral iridal hypopigmentation in Holstein Friesian cattle. BMC Genetics, 18(1), 1–8. https://doi.org/10.1186/s12863-017-0496-4 | |
dc.relation | Hu, Z. L., Park, C. A., Wu, X. L., & Reecy, J. M. (2013). Animal QTLdb: An improved database tool for livestock animal QTL/association data dissemination in the post-genome era. Nucleic Acids Research, 41(D1), 871–879. https://doi.org/10.1093/nar/gks1150 | |
dc.relation | Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009). Bioinformatics enrichment tools: Paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Research, 37(1), 1–13. https://doi.org/10.1093/nar/gkn923 | |
dc.relation | Igoshin, A. V., Yudin, N. S., Belonogova, N. M., & Larkin, D. M. (2019). Genome-wide association study for body weight in cattle populations from Siberia. Animal Genetics, 50(3), 250–253. https://doi.org/10.1111/age.12786 | |
dc.relation | Imumorin, I. G., Kim, E. H., Lee, Y. M., De Koning, D. J., van Arendonk, J. A., De Donato, M., … Kim, J. J. (2011). Genome scan for parent-of-origin QTL effects on bovine growth and carcass traits. Frontiers in Genetics, 2(JULY), 1–13. https://doi.org/10.3389/fgene.2011.00044 | |
dc.relation | Jiang, Z., Michal, J. J., Chen, J., Daniels, T. F., Kunej, T., Garcia, M. D., … MacNeil, M. D. (2009). Discovery of novel genetic networks associated with 19 economically important traits in beef cattle. International Journal of Biological Sciences, 5(6), 528–542. https://doi.org/10.7150/ijbs.5.528 | |
dc.relation | Kim, J. J., Farnir, F., Savell, J., & Taylor, J. F. (2003). Detection of quantitative trait loci for growth and beef carcass fatness traits in a cross between Bos taurus (Angus) and Bos indicus (Brahman) cattle. Journal of Animal Science, 81(8), 1933–1942. https://doi.org/10.2527/2003.8181933x | |
dc.relation | Kneeland, J., Li, C., Basarabt, J., Snelling, W. M., Benkel, B., Murdoch, B., … Moore, S. S. (2004). Identification and fine mapping of quantitative trait loci for growth traits on bovine chromosomes 2, 6, 14, 19, 21, and 23 within one commercial line of Bos taurus. Journal of Animal Science, 82(12), 3405–3414. https://doi.org/10.2527/2004.82123405x | |
dc.relation | Legarra, A., Ricard, A., & Filangi, O. (2016). GS3 Genomic Selection - Gibbs Sampling - Gauss Seidel (pp. 1–25). pp. 1–25. | |
dc.relation | Lemos, M. V. A., Chiaia, H. L. J., Berton, M. P., Feitosa, F. L. B., Aboujaoud, C., Camargo, G. M. F., … Baldi, F. (2016). Genome-wide association between single nucleotide polymorphisms with beef fatty acid profile in Nellore cattle using the single step procedure. BMC Genomics, 17(1), 1–16. https://doi.org/10.1186/s12864-016-2511-y | |
dc.relation | López, A., Saldarriaga, O. A., Arango, A. E., Fabio, N., Olivera, M., Bedoya, G., & Ossa, J. E. (2001). Ganado Blanco Orejinegro (BON): Una alternativa para la producción en Colombia. Revista Colombiana de Ciencias Pecuarias, 14(2), 121–128. Retrieved from http://rccp.udea.edu.co/index.php/ojs/article/view/40 | |
dc.relation | Lourenco, D. A. L., Misztal, I., Wang, H., Aguilar, I., Tsuruta, S., & Bertrand, J. K. (2013). Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models1. Journal of Animal Science, 91(9), 4090–4098. https://doi.org/10.2527/jas.2012-5826 | |
dc.relation | Lu, Y., Vandehaar, M. J., Spurlock, D. M., Weigel, K. A., Armentano, L. E., Connor, E. E., … Tempelman, R. J. (2018). Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiency. Journal of Dairy Science, 101(4), 3140–3154. https://doi.org/10.3168/jds.2017-13364 | |
dc.relation | Mai, M. D., Rychtářová, J., Zink, V., Lassen, J., & Guldbrandtsen, B. (2010). Quantitative trait loci for milk production and functional traits in two Danish Cattle breeds. Journal of Animal Breeding and Genetics, 127(6), 469–473. https://doi.org/10.1111/j.1439-0388.2010.00869.x | |
dc.relation | Maltecca, C., Weigel, K. A., Khatib, H., Cowan, M., & Bagnato, A. (2009). Whole-genome scan for quantitative trait loci associated with birth weight, gestation length and passive immune transfer in a Holstein x Jersey crossbred population. Animal Genetics, 40(1), 27–34. https://doi.org/10.1111/j.1365-2052.2008.01793.x | |
dc.relation | Marete, A., Lund, M. S., Boichard, D., & Ramayo-Caldas, Y. (2018). A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds. PLoS ONE, 13(7), 1–17. https://doi.org/10.1371/journal.pone.0199931 | |
dc.relation | Martínez, R., Bejarano, D., Gómez, Y., Martínez, F., Ramírez, J., Gallego, J., & Abuabara., Y. (2014). Genome-wide association studies for growth traits in Colombian Creole cattle using a single-step genomic best linear unbiased prediction (gBLUP). In Proceedings, 10th World Congress of Genetics Applied to Livestock Production (pp. 1–3). | |
dc.relation | Martínez, R., Gómez, Y., & Martínez-Roch, J. F. (2014). Genome-wide association study on growth traits in Colombian creole breeds and crossbreeds with Zebu cattle. Genetics and Molecular Research, 13(3), 6420–6432. https://doi.org/10.4238/2014.August.25.5 | |
dc.relation | McClure, M. C., Morsci, N. S., Schnabel, R. D., Kim, J. W., Yao, P., Rolf, M. M., … Taylor, J. F. (2010). A genome scan for quantitative trait loci influencing carcass, post-natal growth and reproductive traits in commercial Angus cattle. Animal Genetics, 41(6), 597–607. https://doi.org/10.1111/j.1365-2052.2010.02063.x | |
dc.relation | McLaren, W., Gil, L., Hunt, S. E., Riat, H. S., Ritchie, G. R. S., Thormann, A., … Cunningham, F. (2016). The Ensembl Variant Effect Predictor. Genome Biology, 17(1), 1–14. https://doi.org/10.1186/s13059-016-0974-4 | |
dc.relation | Michenet, A., Barbat, M., Saintilan, R., Venot, E., & Phocas, F. (2016). Detection of quantitative trait loci for maternal traits using high-density genotypes of Blonde d’Aquitaine beef cattle. BMC Genetics, 17(1), 1–13. https://doi.org/10.1186/s12863-016-0397-y | |
dc.relation | Misztal, I., Legarra, A., & Aguilar, I. (2009). Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. Journal of Dairy Science, 92(9), 4648–4655. https://doi.org/10.3168/jds.2009-2064 | |
dc.relation | Moreira, H. L., Canova, E. B., Munari, D. P., Bezerra, L. A. F., Lôbo, R. B., & Paz, C. C. P. (2015). Parâmetros genéticos para período de gestação e características de crescimento pré e pós desmame em bovinos Nelore. Boletim de Indústria Animal, 72(2), 130–135. https://doi.org/10.17523/bia.v72n2p130 | |
dc.relation | Nayeri, S., Sargolzaei, M., Abo-Ismail, M. K., May, N., Miller, S. P., Schenkel, F., … Stothard, P. (2016). Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle. BMC Genetics, 17(1), 1–11. https://doi.org/10.1186/s12863-016-0386-1 | |
dc.relation | Oliveira Júnior, G. A., Perez, B. C., Cole, J. B., Santana, M. H. A., Silveira, J., Mazzoni, G., … Ferraz, J. B. S. (2017). Genomic study and medical subject headings enrichment analysis of early pregnancy rate and antral follicle numbers in Nelore heifers. Journal of Animal Science, 95(11), 4796–4812. https://doi.org/10.2527/jas2017.1752 | |
dc.relation | Peters, S. O., Kizilkaya, K., Garrick, D. J., Fernando, R. L., Reecy, J. M., Weaber, R. L., … Thomas, M. G. (2012). Bayesian genome-wide association analysis of growth and yearling ultrasound measures of carcass traits in brangus heifers. Journal of Animal Science, 90(10), 3398–3409. https://doi.org/10.2527/jas.2011-4507 | |
dc.relation | Rincón, J. C., Herrera, A. L., & Zuluaga, J. J. E. (2018). Genome-wide association study using the Bayes C method for important traits in dairy yield in Colombian Holstein cattle. Acta Scientiarum - Animal Sciences, 40, 1–12. https://doi.org/10.4025/actascianimsci.v40i1.39015 | |
dc.relation | Saatchi, M., Beever, J. E., Decker, J. E., Faulkner, D. B., Freetly, H. C., Hansen, S. L., … Taylor, J. F. (2014a). QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies. BMC Genomics, 15(1), 1–14. https://doi.org/10.1186/1471-2164-15-1004 | |
dc.relation | Saatchi, M., Schnabel, R. D., Taylor, J. F., & Garrick, D. J. (2014b). Large-effect pleiotropic or closely linked QTL segregate within and across ten US cattle breeds. BMC Genomics, 15(1). https://doi.org/10.1186/1471-2164-15-442 | |
dc.relation | Seabury, C. M., Oldeschulte, D. L., Saatchi, M., Beever, J. E., Decker, J. E., Halley, Y. A., … Taylor, J. F. (2017). Genome-wide association study for feed efficiency and growth traits in U.S. beef cattle. BMC Genomics, 18(1), 1–25. https://doi.org/10.1186/s12864-017-3754-y | |
dc.relation | Sherman, E. L., Nkrumah, J. D., Li, C., Bartusiak, R., Murdoch, B., & Moore, S. S. (2009). Fine mapping quantitative trait loci for feed intake and feed efficiency in beef cattle. Journal of Animal Science, 87(1), 37–45. https://doi.org/10.2527/jas.2008-0876 | |
dc.relation | Smith, B. J. (2007). boa: An R package for MCMC output convergence assessment and posterior inference. Journal of Statistical Software, 21(11), 1–37. https://doi.org/10.18637/jss.v021.i11 | |
dc.relation | Stafuzza, N. B., Costa e Silva, E. V. da, Silva, R. M. de O., Costa Filho, L. C. C. da, Barbosa, F. B., Macedo, G. G., … Baldi, F. (2019). Genome-wide association study for age at puberty in young Nelore bulls. Journal of Animal Breeding and Genetics, (August), 1–11. https://doi.org/10.1111/jbg.12438 | |
dc.relation | Takasuga, A., Watanabe, T., Mizoguchi, Y., Hirano, T., Ihara, N., Takano, A., … Sugimoto, Y. (2007). Identification of bovine QTL for growth and carcass traits in Japanese Black cattle by replication and identical-by-descent mapping. Mammalian Genome, 18(2), 125–136. https://doi.org/10.1007/s00335-006-0096-5 | |
dc.relation | Terakado, A. P. N., Costa, R. B., De Camargo, G. M. F., Irano, N., Bresolin, T., Takada, L., … De Albuquerque, L. G. (2018). Genome-wide association study for growth traits in Nelore cattle. Animal, 12(7), 1358–1362. https://doi.org/10.1017/S1751731117003068 | |
dc.relation | Weng, Z., Su, H., Saatchi, M., Lee, J., Thomas, M. G., Dunkelberger, J. R., & Garrick, D. J. (2016). Genome-wide association study of growth and body composition traits in Brangus beef cattle. Livestock Science, 183, 4–11. https://doi.org/10.1016/j.livsci.2015.11.011 | |
dc.relation | Zhang, Z., Kargo, M., Liu, A., Thomasen, J. R., Pan, Y., & Su, G. (2019). Genotype-by-environment interaction of fertility traits in Danish Holstein cattle using a single-step genomic reaction norm model. Heredity, 123(2), 202–214. https://doi.org/10.1038/s41437-019-0192-4 | |
dc.rights | Atribución-NoComercial 4.0 Internacional | |
dc.rights | Acceso abierto | |
dc.rights | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | Derechos reservados - Universidad Nacional de Colombia | |
dc.title | Evaluación genética, evaluación genómica y búsqueda de regiones del genoma en ganado Blanco Orejinegro asociadas a características productivas | |
dc.type | Otro | |