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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
11/09/2014 |
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Actualizado : |
30/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
LOURENCO, D.A.L.; MISZTAL, I.; WANG, H.; AGUILAR, I.; TSURUTA, S.; BERTRAND, J.K. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Journal of Animal Science, 2013, v.91, no.9, p.4090-4098. |
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ISSN : |
0021-8812 |
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DOI : |
10.2527/jas.2012-5826 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published online July 26, 2013.
This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National Institute of Food and Agriculture Animal Genome Program). Helpful comments and suggestions from W. M. Snelling (U.S. Meat Animal Research Center, ARS, USDA, Clay Center, NE) and two anonymous reviewers are gratefully acknowledged. |
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Contenido : |
ABSTRACT.
Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals and 0.03 (0.02) for young genotyped animals without phenotypes. Similar gains were observed for 0 and negative genetic correlation. Accuracy with BayesCPR was affected by ignoring phenotypes of nongenotyped animals and maternal effect and by not accounting for parent average. Accuracy with BayesCDEBV was affected by approximations needed for deregression, not accounting for parent average, and sequential rather than simultaneous fitting of genomic and nongenomic information. Whereas BayesCDEBV presented a considerable bias, especially for maternal effect, ssGBLUP was unbiased for both effects. The computing time was 1 s for BLUP, 44 s for ssGBLUP, and over 2,000 s for BayesC. Greatest computational efficiency and accuracy of genomic prediction for a maternally affected trait was obtained when information from all nongenotyped but related individuals was included and phenotypes, pedigree, and genotypes were available and considered jointly. Increasing the gain in accuracy of genomic predictions obtained by ssGBLUP over BLUP may require an increase in the number of genotyped animals. MenosABSTRACT.
Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals an... Presentar Todo |
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Thesagro : |
GANADERÍA; GANADO DE CARNE; MEJORAMIENTO GENÉTICO ANIMAL; MODELOS DE SIMULACIÓN; SELECCIÓN GENÓMICA. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03895naa a2200277 a 4500
001 1050147
005 2019-10-30
008 2013 bl uuuu u00u1 u #d
022 $a0021-8812
024 7 $a10.2527/jas.2012-5826$2DOI
100 1 $aLOURENCO, D.A.L.
245 $aPrediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models.$h[electronic resource]
260 $c2013
500 $aArticle history: Published online July 26, 2013. This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National Institute of Food and Agriculture Animal Genome Program). Helpful comments and suggestions from W. M. Snelling (U.S. Meat Animal Research Center, ARS, USDA, Clay Center, NE) and two anonymous reviewers are gratefully acknowledged.
520 $aABSTRACT. Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals and 0.03 (0.02) for young genotyped animals without phenotypes. Similar gains were observed for 0 and negative genetic correlation. Accuracy with BayesCPR was affected by ignoring phenotypes of nongenotyped animals and maternal effect and by not accounting for parent average. Accuracy with BayesCDEBV was affected by approximations needed for deregression, not accounting for parent average, and sequential rather than simultaneous fitting of genomic and nongenomic information. Whereas BayesCDEBV presented a considerable bias, especially for maternal effect, ssGBLUP was unbiased for both effects. The computing time was 1 s for BLUP, 44 s for ssGBLUP, and over 2,000 s for BayesC. Greatest computational efficiency and accuracy of genomic prediction for a maternally affected trait was obtained when information from all nongenotyped but related individuals was included and phenotypes, pedigree, and genotypes were available and considered jointly. Increasing the gain in accuracy of genomic predictions obtained by ssGBLUP over BLUP may require an increase in the number of genotyped animals.
650 $aGANADERÍA
650 $aGANADO DE CARNE
650 $aMEJORAMIENTO GENÉTICO ANIMAL
650 $aMODELOS DE SIMULACIÓN
650 $aSELECCIÓN GENÓMICA
700 1 $aMISZTAL, I.
700 1 $aWANG, H.
700 1 $aAGUILAR, I.
700 1 $aTSURUTA, S.
700 1 $aBERTRAND, J.K.
773 $tJournal of Animal Science, 2013$gv.91, no.9, p.4090-4098.
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
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Fecha actual : |
22/12/2016 |
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Actualizado : |
21/02/2018 |
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Tipo de producción científica : |
Documentos |
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Autor : |
TELLECHEA, G.; RODRÍGUEZ, E. |
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Afiliación : |
GUILLERMO TELLECHEA; ETHEL RODRÍGUEZ, MGAP/ DGSA (Dirección General de Servicios Agricolas). |
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Título : |
Prospección del uso de métodos contraceptivos en dos aves plaga de agricultura de Uruguay. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2016. |
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Páginas : |
37 p. |
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ISBN : |
978-9974-38-368-5 |
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Idioma : |
Español |
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Notas : |
AGRADECIMIENTOS: Agradecemos al Instituto Nacional de Investigaciones Agropecuarias (INIA), la Dirección General de Servicios Agrícolas (MGAP), la Mesa Tecnológica de Oleaginosos (MTO) y Alcoholes del Uruguay (ALUR) por el apoyo financiero, logístico y administrativo. En particular queremos agradecer al Director de la Estación Experimental INIA La Estanzuela, Ing. Agr. Enrique Fernández y al jefe Programa Cultivos de Secano, Ing. Agr. Jorge Sawchik por recibir este tema dentro del programa y su apoyo constante. Al
National Wildlife Research Center (NWRC) y a la MTO, por facilitar mediante acuerdo la suma de capacidades para la mejor resolución de los conflictos de la producción con
las aves. Al Sr. Presidente de INIA, Ing. Agr. Álvaro Roel, y al Sr. Director de la DGSA, Ing. Agr. Inocencio Bertoni, por apoyar el acuerdo que ha hecho posible la suma de
capacidades de ambas instituciones para el progreso del tema en Uruguay. También queremos agradecer al Dr. Michael Avery por sus aportes y comentarios sobre este
tema. Un agradecimiento especial a la Lic. Lourdes Olivera por sus aportes, dedicación y entusiasmo durante todo el proceso de elaboración de este documento. |
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Contenido : |
El presente trabajo realiza una revisión de los trabajos publicados concernientes a los contraceptivos en aves. Esta publicación es fruto de un proyecto desarrollado en el marco de un acuerdo de vinculación tecnológica entre INIA-DGSA-MTO-ALUR, con financiación PACC-ALUR. Proyecto INIA (CS_24): Periodo de ejecución: Mzo. - Nov. 2014 |
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Palabras claves : |
AVES PLAGA; CONTRACEPTIVOS EN AVES. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6405/1/INIA-Prospeccion-del-uso-de-metodos-contraceptivos-web.pdf
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Marc : |
LEADER 02032nam a2200181 a 4500
001 1056387
005 2018-02-21
008 2016 bl uuuu u00u1 u #d
020 $a978-9974-38-368-5
100 1 $aTELLECHEA, G.
245 $aProspección del uso de métodos contraceptivos en dos aves plaga de agricultura de Uruguay.
260 $aMontevideo (Uruguay): INIA$c2016
300 $a37 p.
500 $aAGRADECIMIENTOS: Agradecemos al Instituto Nacional de Investigaciones Agropecuarias (INIA), la Dirección General de Servicios Agrícolas (MGAP), la Mesa Tecnológica de Oleaginosos (MTO) y Alcoholes del Uruguay (ALUR) por el apoyo financiero, logístico y administrativo. En particular queremos agradecer al Director de la Estación Experimental INIA La Estanzuela, Ing. Agr. Enrique Fernández y al jefe Programa Cultivos de Secano, Ing. Agr. Jorge Sawchik por recibir este tema dentro del programa y su apoyo constante. Al National Wildlife Research Center (NWRC) y a la MTO, por facilitar mediante acuerdo la suma de capacidades para la mejor resolución de los conflictos de la producción con las aves. Al Sr. Presidente de INIA, Ing. Agr. Álvaro Roel, y al Sr. Director de la DGSA, Ing. Agr. Inocencio Bertoni, por apoyar el acuerdo que ha hecho posible la suma de capacidades de ambas instituciones para el progreso del tema en Uruguay. También queremos agradecer al Dr. Michael Avery por sus aportes y comentarios sobre este tema. Un agradecimiento especial a la Lic. Lourdes Olivera por sus aportes, dedicación y entusiasmo durante todo el proceso de elaboración de este documento.
520 $aEl presente trabajo realiza una revisión de los trabajos publicados concernientes a los contraceptivos en aves. Esta publicación es fruto de un proyecto desarrollado en el marco de un acuerdo de vinculación tecnológica entre INIA-DGSA-MTO-ALUR, con financiación PACC-ALUR. Proyecto INIA (CS_24): Periodo de ejecución: Mzo. - Nov. 2014
653 $aAVES PLAGA
653 $aCONTRACEPTIVOS EN AVES
700 1 $aRODRÍGUEZ, E.
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