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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
04/09/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
MONTOSSI, F.; CUADRO, R.; LUZARDO, S.; SILVEIRA, C.; DE BARBIERI, I.; RODRIGUEZ, A.; SUAREZ, M.; ALBERNAZ, F.; PIÑEIRO, J.; PRESA, O.; SACHS, C.; ZACCA, E.; LIMA, G. |
Afiliación : |
FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WASHINGTON ROBIN CUADRO LOPEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FELIPE LUZARDO VILLAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA INES SILVEIRA ROJAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANALIA VERONICA RODRIGUEZ PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAXIMO ALDEMAR SUAREZ PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; F. ALBERNAZ; JONATHAN ANDRES PIÑEIRO RODRIGUEZ MACEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OROSILDO RODOLFO PRESA SEMPER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERONIMO LIMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Alternativas tecnológicas para la recría de terneros durante el período estival: efecto de la carga animal y la suplementación sobre la performance de terneros de destete precoz pastoreando Brassicas forrajeras. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
ln: Día de campo, INIA Tacuarembó, Unidad Experimental Glencoe, 12 de marzo, 2008. Alternativas tecnológicas para la producción estival en la región de basalto. Tacuarembó (Uruguay): INIA, 2008. |
Páginas : |
p. 5-8 |
Idioma : |
Español |
Contenido : |
Objetivo General: Evaluar alternativas tecnológicas para mejorar el proceso de recría en terneros de destete precoz, utilizando pasturas especializadas para tal fin, en el contexto de los sistemas de producción de la región de Basalto. Objetivos Específicos: - Evaluar el efecto de la carga animal y la suplementación sobre la productividad animal de terneros de destete precoz, pastoreando un cultivo de Brassica forrajera cv. Graza. - Evaluar el efecto de la carga animal sobre la productividad de un cultivo de Brassica forrajera cv. Graza. - Desarrollar ecuaciones predictivas dentro y entre características del cultivo y de los animales. |
Palabras claves : |
RECRÍA DE TERNEROS. |
Thesagro : |
BASALTO; BIENESTAR ANIMAL; CARGA GANADERA; DESTETE; SUPLEMENTOS; TERNERO; VERANO. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4410/1/GLENCOE-2008MarGuia-de-Campo.pdf
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Marc : |
LEADER 01880nam a2200361 a 4500 001 1025652 005 2018-09-04 008 2008 bl uuuu u0uu1 u #d 100 1 $aMONTOSSI, F. 245 $aAlternativas tecnológicas para la recría de terneros durante el período estival$befecto de la carga animal y la suplementación sobre la performance de terneros de destete precoz pastoreando Brassicas forrajeras. 260 $aln: Día de campo, INIA Tacuarembó, Unidad Experimental Glencoe, 12 de marzo, 2008. Alternativas tecnológicas para la producción estival en la región de basalto. Tacuarembó (Uruguay): INIA$c2008 300 $ap. 5-8 520 $aObjetivo General: Evaluar alternativas tecnológicas para mejorar el proceso de recría en terneros de destete precoz, utilizando pasturas especializadas para tal fin, en el contexto de los sistemas de producción de la región de Basalto. Objetivos Específicos: - Evaluar el efecto de la carga animal y la suplementación sobre la productividad animal de terneros de destete precoz, pastoreando un cultivo de Brassica forrajera cv. Graza. - Evaluar el efecto de la carga animal sobre la productividad de un cultivo de Brassica forrajera cv. Graza. - Desarrollar ecuaciones predictivas dentro y entre características del cultivo y de los animales. 650 $aBASALTO 650 $aBIENESTAR ANIMAL 650 $aCARGA GANADERA 650 $aDESTETE 650 $aSUPLEMENTOS 650 $aTERNERO 650 $aVERANO 653 $aRECRÍA DE TERNEROS 700 1 $aCUADRO, R. 700 1 $aLUZARDO, S. 700 1 $aSILVEIRA, C. 700 1 $aDE BARBIERI, I. 700 1 $aRODRIGUEZ, A. 700 1 $aSUAREZ, M. 700 1 $aALBERNAZ, F. 700 1 $aPIÑEIRO, J. 700 1 $aPRESA, O. 700 1 $aSACHS, C. 700 1 $aZACCA, E. 700 1 $aLIMA, G.
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INIA Tacuarembó (TBO) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
26/11/2015 |
Actualizado : |
15/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
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. |
Afiliación : |
F. F. CARDOSO, EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária); Universidad Federal de Pelotas; C.C.G. GOMES, EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária); B. P. SOLLERO, EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária); M.M. OLIVEIRA, EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária); V.M. ROSO, Gensys Associated Consulants; M.L. PICCOLI, EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária); R.H. HIGA, Gensys Associated Consulants; Universidad Federal de Rio Grande Do Sul (UFRGS); M.J. YOKKO, EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária); A.R. CAETANO, EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária); IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genomic prediction for tick resistance in Braford and Hereford cattle. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Journal of Animal Science, 2015. v. 95, p. 2693-2705. Published June 25, 2015 |
DOI : |
10.2527/jas2014-8832 |
Idioma : |
Inglés |
Notas : |
Article history: Received December 19, 2014 / Accepted April 6, 2015. |
Contenido : |
ABSTRACT.
One of the main animal health problems in tropical and subtropical cattle production is the bovine tick, which causes decreased performance, hide devaluation, increased production costs with acaricide treatments, and transmission of infectious diseases. This study investigated the utility of genomic prediction as a tool to select Braford (BO) and Hereford (HH) cattle resistant to ticks. The accuracy and bias of different methods for direct and blended genomic prediction was assessed using 10,673 tick counts obtained from 3,435 BO and
928 HH cattle belonging to the 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 variance components, genetic parameters, and breeding values (EBV) and subsequently used to obtain deregressed EBV. Estimated heritability and repeatability for tick counts were 0.19 ± 0.03 and 0.29 ± 0.01, respectively. Data were split into 5 subsets using k-means and random clustering for cross-validation of genomic predictions. Depending on the method, direct genomic value (DGV) prediction accuracies ranged from 0.35 with Bayes least absolute shrinkage and selection operator (LASSO) to 0.39 with BayesB for k-means clustering and between 0.42 with BayesLASSO and 0.45 with BayesC for random clustering. All genomic methods were superior to pedigree BLUP (PBLUP) accuracies of 0.26 for k-means and 0.29 for random groups, with highest accuracy gains obtained with BayesB (39%) for k-means and BayesC (55%) for random groups. Blending of historical phenotypic and pedigree information by different methods further increased DGV
accuracies by values between 0.03 and 0.05 for direct prediction methods. However, highest accuracy was observed with single-step genomic BLUP with values of 0.48 for k-means and 0.56, which represent, respectively, 84 and 93% improvement over PBLUP. Observed random clustering cross-validation breedspecific accuracies ranged between 0.29 and 0.36 for HH and between 0.55 and 0.61 for BO, depending on the blending method. These moderately high values for BO demonstrate that genomic predictions could be used as a practical tool to improve genetic resistance to ticks and in the development of resistant lines of this breed. For HH, accuracies are still in the low to moderate side and this breed training population needs to be increased before genomic selection could be reliably applied to improve tick resistance.
© 2015 American Society of Animal Science. All rights reserved. MenosABSTRACT.
One of the main animal health problems in tropical and subtropical cattle production is the bovine tick, which causes decreased performance, hide devaluation, increased production costs with acaricide treatments, and transmission of infectious diseases. This study investigated the utility of genomic prediction as a tool to select Braford (BO) and Hereford (HH) cattle resistant to ticks. The accuracy and bias of different methods for direct and blended genomic prediction was assessed using 10,673 tick counts obtained from 3,435 BO and
928 HH cattle belonging to the 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 variance components, genetic parameters, and breeding values (EBV) and subsequently used to obtain deregressed EBV. Estimated heritability and repeatability for tick counts were 0.19 ± 0.03 and 0.29 ± 0.01, respectively. Data were split into 5 subsets using k-means and random clustering for cross-validation of genomic predictions. Depending on the method, direct genomic value (DGV) prediction accuracies ranged from 0.35 with Bayes least absolute shrinkage and selection operator (LASSO) to 0.39 with BayesB for k-means clustering and between 0.42 with BayesLASSO and 0.45 with BayesC for random clustering. All genomic methods were superior to pedigree BLUP (PBLUP) accuracies of 0.26 f... Presentar Todo |
Palabras claves : |
BEEF CATLLE; GENOMIC SELECTION; HEALTH; TICK RESISTANCE. |
Thesagro : |
GANADO DE CARNE; MEJORAMIENTO GENETICO ANIMAL; SALUD. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 03639naa a2200337 a 4500 001 1054002 005 2019-10-15 008 2015 bl uuuu u00u1 u #d 024 7 $a10.2527/jas2014-8832$2DOI 100 1 $aCARDOSO, F. F. 245 $aGenomic prediction for tick resistance in Braford and Hereford cattle.$h[electronic resource] 260 $c2015 500 $aArticle history: Received December 19, 2014 / Accepted April 6, 2015. 520 $aABSTRACT. One of the main animal health problems in tropical and subtropical cattle production is the bovine tick, which causes decreased performance, hide devaluation, increased production costs with acaricide treatments, and transmission of infectious diseases. This study investigated the utility of genomic prediction as a tool to select Braford (BO) and Hereford (HH) cattle resistant to ticks. The accuracy and bias of different methods for direct and blended genomic prediction was assessed using 10,673 tick counts obtained from 3,435 BO and 928 HH cattle belonging to the 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 variance components, genetic parameters, and breeding values (EBV) and subsequently used to obtain deregressed EBV. Estimated heritability and repeatability for tick counts were 0.19 ± 0.03 and 0.29 ± 0.01, respectively. Data were split into 5 subsets using k-means and random clustering for cross-validation of genomic predictions. Depending on the method, direct genomic value (DGV) prediction accuracies ranged from 0.35 with Bayes least absolute shrinkage and selection operator (LASSO) to 0.39 with BayesB for k-means clustering and between 0.42 with BayesLASSO and 0.45 with BayesC for random clustering. All genomic methods were superior to pedigree BLUP (PBLUP) accuracies of 0.26 for k-means and 0.29 for random groups, with highest accuracy gains obtained with BayesB (39%) for k-means and BayesC (55%) for random groups. Blending of historical phenotypic and pedigree information by different methods further increased DGV accuracies by values between 0.03 and 0.05 for direct prediction methods. However, highest accuracy was observed with single-step genomic BLUP with values of 0.48 for k-means and 0.56, which represent, respectively, 84 and 93% improvement over PBLUP. Observed random clustering cross-validation breedspecific accuracies ranged between 0.29 and 0.36 for HH and between 0.55 and 0.61 for BO, depending on the blending method. These moderately high values for BO demonstrate that genomic predictions could be used as a practical tool to improve genetic resistance to ticks and in the development of resistant lines of this breed. For HH, accuracies are still in the low to moderate side and this breed training population needs to be increased before genomic selection could be reliably applied to improve tick resistance. © 2015 American Society of Animal Science. All rights reserved. 650 $aGANADO DE CARNE 650 $aMEJORAMIENTO GENETICO ANIMAL 650 $aSALUD 653 $aBEEF CATLLE 653 $aGENOMIC SELECTION 653 $aHEALTH 653 $aTICK RESISTANCE 700 1 $aGOMES, C.C.G. 700 1 $aSOLLERO, B. P. 700 1 $aOLIVEIRA, M. M. 700 1 $aROSO, V. M. 700 1 $aPICCOLI, M. L. 700 1 $aHIGA, R. H. 700 1 $aYOKOO, M. J. 700 1 $aCAETANO, A. R. 700 1 $aAGUILAR, I. 773 $tJournal of Animal Science, 2015.$gv. 95, p. 2693-2705. Published June 25, 2015
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