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| Registros recuperados : 3 | |
| 1. |  | MOTTA, R. R.; SILVA, F. F.; LOPES, P. S.; TEMPELMAN, R. J.; SOLLERO, B. P.; AGUILAR, I.; CARDOSO, F. F. Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle. Animal, 2018, volume 12, Issue 2, pages 205-214. OPEN ACCESS. doi: https://doi.org/10.1017/S1751731117001562 Article history: Received 12 December 2016; Accepted 22 May 2017; Published online: 13 July 2017.
Corresponding author: R.R. Mota, Gembloux Agro-Bio Tech Faculty, TERRA Teaching and Research Centre, University of Liège, B-5030 Gembloux,...| Biblioteca(s): INIA Las Brujas. |
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| 2. | | CARDOSO, F. F.; SOLLERO, B. P.; COMIN, H. B.; GOMES, C. G.; ROSO, V. M.; HIGA, R. H.; CAETANO, A. R.; YOKOO, M. J.; AGUILAR, I. Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. Volume Species Breeding: Beef cattle (Posters), 713. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.713. Acknowledgments: Research supported by CNPq - National Council for Scientific and Technological Development grant 478992/2012-2, Embrapa - Brazilian Agricultural Research Corporation grants 02.09.07.004 and 01.11.07.002.07, and CAPES -...| Biblioteca(s): INIA Las Brujas. |
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| 3. | | CARDOSO, F. F.; GOMES, C.C.G.; SOLLERO, B. P.; OLIVEIRA, M. M.; ROSO, V. M.; PICCOLI, M. L.; HIGA, R. H.; YOKOO, M. J.; CAETANO, A. R.; AGUILAR, I. Genomic prediction for tick resistance in Braford and Hereford cattle. Journal of Animal Science, 2015. v. 95, p. 2693-2705. Published June 25, 2015 Article history: Received December 19, 2014 / Accepted April 6, 2015.| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 3 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/03/2021 |
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Actualizado : |
31/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
CARDOSO, F. F.; SOLLERO, B. P.; COMIN, H. B.; GOMES, C. G.; ROSO, V. M.; HIGA, R. H.; CAETANO, A. R.; YOKOO, M. J.; AGUILAR, I. |
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Afiliación : |
FERNANDO F. CARDOSO, Embrapa Southern Region Animal Husbandry, Bagé; BRUNA P. SOLLERO, Embrapa Southern Region Animal Husbandry, Bagé; HELENA B. COMIN, Embrapa Southern Region Animal Husbandry, Bagé; CLAUDIA G GOMES, Embrapa Southern Region Animal Husbandry, Bagé; VANERLEI M. ROSO, Gensys Associated Consultants, Porto Alegre; ROBERTO H. HIGA, Embrapa Agriculture Informatics, Campinas; ALEXANDRE R. CAETANO, Embrapa Genetic Resources & Biotechnology, Brasilia, Brazil; MARCOS J. YOKOO, Embrapa Southern Region Animal Husbandry, Bagé; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. |
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Complemento del título : |
Volume Species Breeding: Beef cattle (Posters), 713. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.713. |
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Idioma : |
Inglés |
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Notas : |
Acknowledgments: Research supported by CNPq - National Council for Scientific and Technological Development grant 478992/2012-2, Embrapa - Brazilian Agricultural Research Corporation grants 02.09.07.004 and 01.11.07.002.07, and CAPES - Coordination for the Improvement of Higher Level Personnel grant PNPD 02645/09-2. Authors acknowledge the Delta G Connection for providing animals and data for this research. |
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Contenido : |
ABSTRACT.
This work aimed to determine the accuracy and bias of genomic predictions of Braford (BO) and Hereford (HH) cattle genetic resistance to ticks. Repeated 10,673 tick counts were obtained from 3,435 BO and 928 HH cattle from Delta G Connection breeding program. A subset of 2,803 BO and 652 HH samples were genotyped and 41,045 markers remained after quality control. Log transformed records were adjusted by a pedigree repeatability model to estimate breeding values (EBV), subsequently used to obtained deregressed EBV. Data were split into five subsets for cross-validation using k-means and random clustering. Genomic predictions with moderate accuracies (0.38 to 0.60) were obtained by best unbiased linear prediction (GBLUP), BayesB and single step GBLUP indicating that, despite some bias, genomic selection could be used as practical tool to improve cattle genetic resistance to ticks. |
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Palabras claves : |
Beef cattle; Genomic selection; Health; Tick resistance. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15450/1/Cardoso-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 02130nam a2200265 a 4500
001 1061926
005 2021-03-31
008 2014 bl uuuu u01u1 u #d
100 1 $aCARDOSO, F. F.
245 $aAccuracy of genomic prediction for tick resistance in Braford and Hereford cattle.$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.713.$c2014
500 $aAcknowledgments: Research supported by CNPq - National Council for Scientific and Technological Development grant 478992/2012-2, Embrapa - Brazilian Agricultural Research Corporation grants 02.09.07.004 and 01.11.07.002.07, and CAPES - Coordination for the Improvement of Higher Level Personnel grant PNPD 02645/09-2. Authors acknowledge the Delta G Connection for providing animals and data for this research.
520 $aABSTRACT. This work aimed to determine the accuracy and bias of genomic predictions of Braford (BO) and Hereford (HH) cattle genetic resistance to ticks. Repeated 10,673 tick counts were obtained from 3,435 BO and 928 HH cattle from Delta G Connection breeding program. A subset of 2,803 BO and 652 HH samples were genotyped and 41,045 markers remained after quality control. Log transformed records were adjusted by a pedigree repeatability model to estimate breeding values (EBV), subsequently used to obtained deregressed EBV. Data were split into five subsets for cross-validation using k-means and random clustering. Genomic predictions with moderate accuracies (0.38 to 0.60) were obtained by best unbiased linear prediction (GBLUP), BayesB and single step GBLUP indicating that, despite some bias, genomic selection could be used as practical tool to improve cattle genetic resistance to ticks.
653 $aBeef cattle
653 $aGenomic selection
653 $aHealth
653 $aTick resistance
700 1 $aSOLLERO, B. P.
700 1 $aCOMIN, H. B.
700 1 $aGOMES, C. G.
700 1 $aROSO, V. M.
700 1 $aHIGA, R. H.
700 1 $aCAETANO, A. R.
700 1 $aYOKOO, M. J.
700 1 $aAGUILAR, I.
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