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Registros recuperados : 4 | |
1. |  | MOTA, R.R.; TEMPELMAN, R.J.; FERNANDO F CARDOSO; AGUILAR, I.; LOPES, P.S. Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models. Volume Species Breeding: Beef cattle, 235. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.235. Acknowledgments: The authors thank Delta G Connection by providing the data used in this research; Embrapa Southern Region Animal Husbandry and Michigan State University for theoretical and technical support; CAPES, CNPq and FAPEMIG by...Biblioteca(s): INIA Las Brujas. |
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2. |  | 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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3. |  | SILVA, D.A.; COSTA, C.N.; SILVA, A.A.; SILVA, H.T.; LOPES, P.S.; SILVA, F.F.; VERONEZE, R.; THOMPSON, G.; AGUILAR, I.; CARVALHEIRA, J. Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. Journal of Animal Breeding and Genetics, 1 May 2020, Volume 137, Issue 3, Pages 305-315. Doi: https://doi.org/10.1111/jbg.12459 Article history: Received: 10 July 2019 / Revised: 31 October 2019 / Accepted: 3 November 2019 / First published: 08 December 2019.
Funding information: The authors acknowledge the Brazilian Holstein Cattle Breeders Association (ABCBRH)...Biblioteca(s): INIA Las Brujas. |
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4. |  | MOTA, R. R.; LOPES, P. S.; TEMPELMAN, R. J.; SILVA, F. F.; AGUILAR, I.; GOMES, C. C. G.; CARDOSO, F. F. Genome-enabled prediction for tick resistance in Hereford and Braford beef cattle via reaction norm models. Journal of Animal Science, May 2016, Volume 94, Issue 5, Pages 1834 - 1843. Article history: Received December 11, 2015. // Accepted March 10, 2016.Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 4 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
31/07/2017 |
Actualizado : |
13/12/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MOTTA, R. R.; SILVA, F. F.; LOPES, P. S.; TEMPELMAN, R. J.; SOLLERO, B. P.; AGUILAR, I.; CARDOSO, F. F. |
Afiliación : |
R. R. MOTTA, Gembloux Agro-Bio Tech Faculty, TERRA Teaching and Research Centre, University of Liège, Gembloux, Belgium; F. F. SILVA, Department of Animal Science, Universidade Federal de Viçosa, Minas Gerais, Brazil; P. S. LOPES, Department of Animal Science, Universidade Federal de Viçosa, Minas Gerais, Brazil; R. J. TEMPELMAN, Department of Animal Science, Michigan State University, MI, USA; B. P. SOLLERO, Embrapa Pecuária Sul, Rio Grande do Sul, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; F. F. CARDOSO, Embrapa Pecuária Sul, Rio Grande do Sul, Brazil; 6 Programa de Pós-graduação em Zootecnia, Universidade Federal de Pelotas, Rio Grande do Sul, Brazil. |
Título : |
Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Animal, 2018, volume 12, Issue 2, pages 205-214. OPEN ACCESS. doi: https://doi.org/10.1017/S1751731117001562 |
DOI : |
10.1017/S1751731117001562 |
Idioma : |
Inglés |
Notas : |
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, Belgium,
rrmota@ulg.ac.be -- License Under a Creative Commons. |
Contenido : |
ABSTRACT.- Despite single nucleotide polymorphism (SNP) availability and frequent cost reduction has allowed genome-wide association studies even in complex traits as tick resistance, the use of this information source in SNP by environment interaction context is unknown for many economically important traits in cattle. We aimed at identifying putative genomic regions explaining differences in tick resistance in Hereford and Braford cattle under SNP by environment point of view as well as to identify candidate genes derived from outliers/significant markers. The environment was defined as contemporary group means of tick counts, since they seemed to be the most appropriate entities to describe the environmental gradient in beef cattle. A total of 4363 animals having tick counts (n=10 673) originated from 197 sires and 3966 dams were used. Genotypes were acquired on 3591 of these cattle. From top 1% SNPs (410) having the greatest effects in each environment, 75 were consistently relevant in all environments, which indicated SNP by environment interaction. The outliers/significant SNPs were mapped on chromosomes 1, 2, 5, 6, 7, 9, 11, 13, 14, 15, 16, 18, 21, 23, 24, 26 and 28, and potential candidate genes were detected across environments. The presence of SNP by environment interaction for tick resistance indicates that genetic expression of resistance depends upon tick burden. Markers with major portion of genetic variance explained across environments appeared to be close to genes with different direct or indirect functions related to immune system, inflammatory process and mechanisms of tissue destruction/repair, such as energy metabolism and cell differentiation. © The Animal Consortium 2017 MenosABSTRACT.- Despite single nucleotide polymorphism (SNP) availability and frequent cost reduction has allowed genome-wide association studies even in complex traits as tick resistance, the use of this information source in SNP by environment interaction context is unknown for many economically important traits in cattle. We aimed at identifying putative genomic regions explaining differences in tick resistance in Hereford and Braford cattle under SNP by environment point of view as well as to identify candidate genes derived from outliers/significant markers. The environment was defined as contemporary group means of tick counts, since they seemed to be the most appropriate entities to describe the environmental gradient in beef cattle. A total of 4363 animals having tick counts (n=10 673) originated from 197 sires and 3966 dams were used. Genotypes were acquired on 3591 of these cattle. From top 1% SNPs (410) having the greatest effects in each environment, 75 were consistently relevant in all environments, which indicated SNP by environment interaction. The outliers/significant SNPs were mapped on chromosomes 1, 2, 5, 6, 7, 9, 11, 13, 14, 15, 16, 18, 21, 23, 24, 26 and 28, and potential candidate genes were detected across environments. The presence of SNP by environment interaction for tick resistance indicates that genetic expression of resistance depends upon tick burden. Markers with major portion of genetic variance explained across environments appeared to be close to... Presentar Todo |
Palabras claves : |
BEEF CATTLE; CANDIDATE GENES; ENVIRONMENT GRADIENT; GENE FUNCTION; SINGLE-STEP. |
Asunto categoría : |
-- |
URL : |
https://ainfo.inia.uy/digital/bitstream/item/16916/1/10.1017-S1751731117001562.pdf
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Marc : |
LEADER 02878naa a2200277 a 4500 001 1057417 005 2022-12-13 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1017/S1751731117001562$2DOI 100 1 $aMOTTA, R. R. 245 $aAnalyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle.$h[electronic resource] 260 $c2018 500 $aArticle 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, Belgium, rrmota@ulg.ac.be -- License Under a Creative Commons. 520 $aABSTRACT.- Despite single nucleotide polymorphism (SNP) availability and frequent cost reduction has allowed genome-wide association studies even in complex traits as tick resistance, the use of this information source in SNP by environment interaction context is unknown for many economically important traits in cattle. We aimed at identifying putative genomic regions explaining differences in tick resistance in Hereford and Braford cattle under SNP by environment point of view as well as to identify candidate genes derived from outliers/significant markers. The environment was defined as contemporary group means of tick counts, since they seemed to be the most appropriate entities to describe the environmental gradient in beef cattle. A total of 4363 animals having tick counts (n=10 673) originated from 197 sires and 3966 dams were used. Genotypes were acquired on 3591 of these cattle. From top 1% SNPs (410) having the greatest effects in each environment, 75 were consistently relevant in all environments, which indicated SNP by environment interaction. The outliers/significant SNPs were mapped on chromosomes 1, 2, 5, 6, 7, 9, 11, 13, 14, 15, 16, 18, 21, 23, 24, 26 and 28, and potential candidate genes were detected across environments. The presence of SNP by environment interaction for tick resistance indicates that genetic expression of resistance depends upon tick burden. Markers with major portion of genetic variance explained across environments appeared to be close to genes with different direct or indirect functions related to immune system, inflammatory process and mechanisms of tissue destruction/repair, such as energy metabolism and cell differentiation. © The Animal Consortium 2017 653 $aBEEF CATTLE 653 $aCANDIDATE GENES 653 $aENVIRONMENT GRADIENT 653 $aGENE FUNCTION 653 $aSINGLE-STEP 700 1 $aSILVA, F. F. 700 1 $aLOPES, P. S. 700 1 $aTEMPELMAN, R. J. 700 1 $aSOLLERO, B. P. 700 1 $aAGUILAR, I. 700 1 $aCARDOSO, F. F. 773 $tAnimal, 2018, volume 12, Issue 2, pages 205-214. OPEN ACCESS. doi: https://doi.org/10.1017/S1751731117001562
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