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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
31/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
MOTA, R.R.; TEMPELMAN, R.J.; FERNANDO F CARDOSO; AGUILAR, I.; LOPES, P.S. |
Afiliación : |
RODRIGO REIS MOTA, Michigan State University; Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil; ROBERT J TEMPELMAN, Michigan State University; CARDOSO, F.F., Embrapa Southern Region Animal Husbandry, Bagé, Rio Grande do Sul, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PAULO S LOPES, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil. |
Título : |
Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models. |
Complemento del título : |
Volume Species Breeding: Beef cattle, 235. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.235. |
Idioma : |
Inglés |
Notas : |
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 granting the scholarship. |
Contenido : |
ABSTRACT.
The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models. |
Palabras claves : |
Cross validation; Single-step; Tick counts. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15448/1/Mota-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 01877nam a2200205 a 4500 001 1061924 005 2021-03-31 008 2014 bl uuuu u01u1 u #d 100 1 $aMOTA, R.R. 245 $aGenomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.235.$c2014 500 $aAcknowledgments: 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 granting the scholarship. 520 $aABSTRACT. The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models. 653 $aCross validation 653 $aSingle-step 653 $aTick counts 700 1 $aTEMPELMAN, R.J. 700 1 $aFERNANDO F CARDOSO 700 1 $aAGUILAR, I. 700 1 $aLOPES, P.S.
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
21/02/2014 |
Actualizado : |
03/07/2017 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
ALBICETTE, M.M. |
Afiliación : |
MARIA MARTA ALBICETTE BASTRERI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Una experiencia de investigación participativa en agricultura orgánica. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
Revista INIA Uruguay, 2011, no. 25, p. 31-35. |
Serie : |
(Revista INIA; 25) |
ISSN : |
1510-9011 |
Idioma : |
Español |
Palabras claves : |
INVESTIGACIÓN PARTICIPATIVA. |
Thesagro : |
AGRICULTURA ORGANICA; URUGUAY. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/2074/1/18429130112143546.pdf
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Marc : |
LEADER 00494naa a2200169 a 4500 001 1032963 005 2017-07-03 008 2011 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aALBICETTE, M.M. 245 $aUna experiencia de investigación participativa en agricultura orgánica. 260 $c2011 490 $a(Revista INIA; 25) 650 $aAGRICULTURA ORGANICA 650 $aURUGUAY 653 $aINVESTIGACIÓN PARTICIPATIVA 773 $tRevista INIA Uruguay, 2011, no. 25, p. 31-35.
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INIA Treinta y Tres (TT) |
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