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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
30/11/2022 |
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Actualizado : |
21/03/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BRUNES, L.C.; FARIA, C.U.D.; MAGNABOSCO, C.U.; LOBO, R.B.; PERIPOLLI, E.; AGUILAR, I.; BALDI, F. |
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Afiliación : |
LUDMILLA COSTA BRUNES, Animal Performance Center, Embrapa Cerrados, Planaltina, 73310-970, Brazil; CARINA UBIRAJARA DE FARIA, College of Veterinary Medicine, Federal University of Uberlandia, Uberlandia, 38410-337, Brazil; CLÁUDIO ULHOA MAGNABOSCO, Animal Performance Center, Embrapa Cerrados, Planaltina, 73310-970, Brazil; RAYSILDO BARBOSA LOBO, National Association of Breeders and Researchers, Ribeirao Preto, 14020-230, Brazil; ELISA PERIPOLLI, Departament of Animal Science, College of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal, 14884-900, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Departament of Animal Science, College of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal, 14884-900, Brazil. |
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Título : |
Genomic prediction ability and genetic parameters for residual feed intake calculated using different approaches and their associations with growth, reproductive, and carcass traits in Nellore cattle. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Journal of Applied Genetics, 2023, Volume 64, Issue 1, Pages 159 - 167. doi: https://doi.org/10.1007/s13353-022-00734-8 |
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ISSN : |
1234-1983 |
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DOI : |
10.1007/s13353-022-00734-8 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 25 February 2022; Revised 3 September 2022; Accepted 26 October 2022; Published online 15 November 2022; Published February 2023. -- Corresponding author: Brunes, L.C.; Animal Performance Center, Embrapa Cerrados, Planaltina, Brazil; email:ludmillabrunes@hotmail.com -- |
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Contenido : |
ABSTRACT.- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFItest) and for the whole population (RFIpop) in Nellore beef cattle. It also aimed to evaluate the correlations between RFIpop and RFItest with growth, reproductive, and carcass traits. Genotypic and phenotypic records from 8354 animals were used. An analysis of variance (ANOVA) was performed to verify the adequacy of the regression equations applied to estimate the RFItest and RFIpop. The (co)variance components were obtained using the single-step genomic best linear unbiased prediction under single and two-trait animal model analyses. The genetic and phenotypic correlations between RFItest and RFIpop with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFItest and RFIpop genomic breeding values (GEBV). The RFIpop ANOVA showed a higher significance level (p < 0.0001) than did the RFItest for the fixed effects. The RFIpop displayed higher additive genetic variance estimated than the RFItest, although the RFIpop and RFItest displayed similar heritabilities. Overall, the RFItest showed higher residual correlations with growth, reproductive, and carcass traits, while the RFIpop displayed higher genetic correlations with such traits. The GEBV for the RFItest was slightly biased than GEBV RFIpop. The approach to calculate the RFI influenced the decomposition and estimation of variance components and genomic prediction for RFI. The application of RFIpop would be more appropriate for genetic evaluation purpose to adjust or correct for non-genetic effects and to decrease the prediction bias for RFI. © 2022, The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences. MenosABSTRACT.- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFItest) and for the whole population (RFIpop) in Nellore beef cattle. It also aimed to evaluate the correlations between RFIpop and RFItest with growth, reproductive, and carcass traits. Genotypic and phenotypic records from 8354 animals were used. An analysis of variance (ANOVA) was performed to verify the adequacy of the regression equations applied to estimate the RFItest and RFIpop. The (co)variance components were obtained using the single-step genomic best linear unbiased prediction under single and two-trait animal model analyses. The genetic and phenotypic correlations between RFItest and RFIpop with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFItest and RFIpop genomic breeding values (GEBV). The RFIpop ANOVA showed a higher significance level (p < 0.0001) than did the RFItest for the fixed effects. The RFIpop displayed higher additive genetic variance estimated than the RFItest, although the RFIpop and RFItest displayed similar heritabilities. Overall, the RFItest showed higher residual correlations with growth, reproductive, and carcass traits, while the RFIpop displayed higher genetic correlations with such traits. The GEBV for the RFItest was slightly biased than GEBV RFIpop. The approach t... Presentar Todo |
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Palabras claves : |
Accuracy; Beef cattle; Bos taurus indicus; Feed efficiency; Genomic selection; Residual feed intake equation. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 03223naa a2200301 a 4500
001 1063803
005 2023-03-21
008 2023 bl uuuu u00u1 u #d
022 $a1234-1983
024 7 $a10.1007/s13353-022-00734-8$2DOI
100 1 $aBRUNES, L.C.
245 $aGenomic prediction ability and genetic parameters for residual feed intake calculated using different approaches and their associations with growth, reproductive, and carcass traits in Nellore cattle.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 25 February 2022; Revised 3 September 2022; Accepted 26 October 2022; Published online 15 November 2022; Published February 2023. -- Corresponding author: Brunes, L.C.; Animal Performance Center, Embrapa Cerrados, Planaltina, Brazil; email:ludmillabrunes@hotmail.com --
520 $aABSTRACT.- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFItest) and for the whole population (RFIpop) in Nellore beef cattle. It also aimed to evaluate the correlations between RFIpop and RFItest with growth, reproductive, and carcass traits. Genotypic and phenotypic records from 8354 animals were used. An analysis of variance (ANOVA) was performed to verify the adequacy of the regression equations applied to estimate the RFItest and RFIpop. The (co)variance components were obtained using the single-step genomic best linear unbiased prediction under single and two-trait animal model analyses. The genetic and phenotypic correlations between RFItest and RFIpop with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFItest and RFIpop genomic breeding values (GEBV). The RFIpop ANOVA showed a higher significance level (p < 0.0001) than did the RFItest for the fixed effects. The RFIpop displayed higher additive genetic variance estimated than the RFItest, although the RFIpop and RFItest displayed similar heritabilities. Overall, the RFItest showed higher residual correlations with growth, reproductive, and carcass traits, while the RFIpop displayed higher genetic correlations with such traits. The GEBV for the RFItest was slightly biased than GEBV RFIpop. The approach to calculate the RFI influenced the decomposition and estimation of variance components and genomic prediction for RFI. The application of RFIpop would be more appropriate for genetic evaluation purpose to adjust or correct for non-genetic effects and to decrease the prediction bias for RFI. © 2022, The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.
653 $aAccuracy
653 $aBeef cattle
653 $aBos taurus indicus
653 $aFeed efficiency
653 $aGenomic selection
653 $aResidual feed intake equation
700 1 $aFARIA, C.U.D.
700 1 $aMAGNABOSCO, C.U.
700 1 $aLOBO, R.B.
700 1 $aPERIPOLLI, E.
700 1 $aAGUILAR, I.
700 1 $aBALDI, F.
773 $tJournal of Applied Genetics, 2023, Volume 64, Issue 1, Pages 159 - 167. doi: https://doi.org/10.1007/s13353-022-00734-8
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
26/07/2017 |
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Actualizado : |
21/02/2020 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
RUGGIA, A.; ALBIN, A.; ALBICETTE, M.M.; BENVENUTO, M.; BLUMETTO, O.; BORTAGARAY, I.; CARDOZO, G.; CASTAGNA, A.; CLARA, P.; DEL PINO, M.L.; DOGLIOTTI, S.; GARCIA, F.; GILSANZ, J.C.; LEONI, C.; MONTALDO, S.; QUINTANS, G.; SCARLATO, M.; SCARLATO, S.; SILVERA, M.; TISCORNIA, G.; AGUERRE, V. |
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Afiliación : |
ANDREA PAOLA RUGGIA CHIESA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALFREDO SANTIAGO ALBIN FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA MARTA ALBICETTE BASTRERI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAURICIO FABIAN BENVENUTO MILLOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ISABEL BORTAGARAY SABARROS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERONIMO AGUSTIN CARDOZO CABANELAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES CASTAGNA DU PRE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO DANIEL CLARA PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA LILIANA DEL PINO BALADON, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO DOGLIOTTI, Departamento de Producción Vegetal, Facultad de Agronomía, UDELAR; FELIPE LUIS GARCIA OLASO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN CARLOS GILSANZ MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SERGIO DANIEL MONTALDO BERRIEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANA SCARLATO GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO SCARLATO GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANA SILVERA ORREGO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VERONICA AGUERRE ANTIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Intensificación ecológica en sistemas ganaderos del Este de Uruguay. [Abstract y Poster] |
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Complemento del título : |
SECCIÓN COMUNICACIONES CORTAS - RESÚMENES. Ambiente/diversidad |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
In: Reunión del Grupo Técnico en Forrajeras del Cono Sur, Grupo Campos, 24, 2017, Tacuarembó, Uruguay; Ayala, W.; Boggiano, P.; Álvarez, O.; eds. Bioma campos : Retomando un camino de oportunidades para una producción ganadera sustentable. Memorias. Tacuarembó (Uruguay): Grupo Campos, 2017. [Abstract y Poster] |
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Páginas : |
p. 104-105 |
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Idioma : |
Español |
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Contenido : |
En Uruguay, el 60% de productores familiares presenta la ganadería como principal ingreso, dedicándose la mayoría a la cría, siendo el campo natural el principal recurso forrajero. La principal estrategia acordada e implementada por los productores fue mejorar la disponibilidad y gestión del forraje, complementado con la aplicación de tecnologías de bajo costo y alto impacto productivo. |
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Palabras claves : |
CO-INNOVACIÓN; INTERACCIÓN PLANTA-ANIMAL; MANEJO CAMPO NATURAL. |
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Thesagro : |
CAMPO NATURAL. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7132/1/Riggia-A.-2017.-Grupo-Campos-a27-p.116-117.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/7133/1/Riggia-A.-2017.-Grupo-Campos-a27-poster.pdf
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Marc : |
LEADER 01778nam a2200409 a 4500
001 1057404
005 2020-02-21
008 2017 bl uuuu u01u1 u #d
100 1 $aRUGGIA, A.
245 $aIntensificación ecológica en sistemas ganaderos del Este de Uruguay. [Abstract y Poster]$h[electronic resource]
260 $aIn: Reunión del Grupo Técnico en Forrajeras del Cono Sur, Grupo Campos, 24, 2017, Tacuarembó, Uruguay; Ayala, W.; Boggiano, P.; Álvarez, O.; eds. Bioma campos : Retomando un camino de oportunidades para una producción ganadera sustentable. Memorias. Tacuarembó (Uruguay): Grupo Campos, 2017. [Abstract y Poster]$c2017
300 $ap. 104-105
520 $aEn Uruguay, el 60% de productores familiares presenta la ganadería como principal ingreso, dedicándose la mayoría a la cría, siendo el campo natural el principal recurso forrajero. La principal estrategia acordada e implementada por los productores fue mejorar la disponibilidad y gestión del forraje, complementado con la aplicación de tecnologías de bajo costo y alto impacto productivo.
650 $aCAMPO NATURAL
653 $aCO-INNOVACIÓN
653 $aINTERACCIÓN PLANTA-ANIMAL
653 $aMANEJO CAMPO NATURAL
700 1 $aALBIN, A.
700 1 $aALBICETTE, M.M.
700 1 $aBENVENUTO, M.
700 1 $aBLUMETTO, O.
700 1 $aBORTAGARAY, I.
700 1 $aCARDOZO, G.
700 1 $aCASTAGNA, A.
700 1 $aCLARA, P.
700 1 $aDEL PINO, M.L.
700 1 $aDOGLIOTTI, S.
700 1 $aGARCIA, F.
700 1 $aGILSANZ, J.C.
700 1 $aLEONI, C.
700 1 $aMONTALDO, S.
700 1 $aQUINTANS, G.
700 1 $aSCARLATO, M.
700 1 $aSCARLATO, S.
700 1 $aSILVERA, M.
700 1 $aTISCORNIA, G.
700 1 $aAGUERRE, V.
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