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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
29/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
PRAVIA, M.I.; NAVAJAS, E.; MACEDO, F.; CLARIGET, J.M.; LUZARDO, S. |
Afiliación : |
MARIA ISABEL PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO LIBER MACEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN MANUEL CLARIGET BRIZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FELIPE LUZARDO VILLAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Association between feed efficiency and carcass and meat quality traits in Hereford steers. |
Complemento del título : |
Volume Electronic Poster Session - Biology - Feed Intake and Efficiency 1, p. 604. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. |
Idioma : |
Inglés |
Notas : |
Acknowledgements: This work was supported by the Agencia Nacional de Investigación e Innovación (ANII) (grant RTS_1_2012_1_3489), Instituto Nacional de Investigación Agropecuaria (INIA), Sociedad de Criadores de Hereford (SCH), Instituto Nacional de Carnes (INAC), Instituto de Investigaciones Biológicas Clemente Estable (IIBCE) and Asociación Rural del Uruguay (ARU). |
Contenido : |
SUMMARY.
The association between residual feed intake (RFI) and growth, carcass and meat quality traits were investigated using 233 Hereford steers. Individual feed intake, body liveweight, average daily gain and ultrasound measurements were recorded during 70-d post-weaning period to calculate RFI. Steers were categorized into high efficient (<0.5 SD below the RFI mean; 72), medium (mid ± 0.5 SD; 85), and low efficient steers (>0.5 SD above the RFI mean; 76). After the feed intake test, steers grazed on sorghum pasture and oat with corn supplementation during summer and autumn and winter, respectively, until achieving the slaughter weight (with back fat thickness 6.35 mm). During the finishing phase, the efficient steers had some lighter weights (P<0.05) at the start of finishing but achieved the same slaughter weight (P<0.001). Average daily gains during finishing were similar among efficiency groups. No differences were found among groups on ultrasound measures except a slight difference on UBFAT at pre-slaughter between medium and lower efficient (P=0.009). No differences were found among RFI groups for any carcass or meat quality traits. Phenotypic correlations with RFI were close to zero for all traits. These results suggest that increasing feed efficiency by RFI does not lead to unfavorable effect on finishing performance, carcass and meat quality. Larger dataset will allow the estimation of genetic correlation among these traits and the prediction of genetic correlated responses. Keywords: Residual feed intake, beef cattle, growth, tenderness. MenosSUMMARY.
The association between residual feed intake (RFI) and growth, carcass and meat quality traits were investigated using 233 Hereford steers. Individual feed intake, body liveweight, average daily gain and ultrasound measurements were recorded during 70-d post-weaning period to calculate RFI. Steers were categorized into high efficient (<0.5 SD below the RFI mean; 72), medium (mid ± 0.5 SD; 85), and low efficient steers (>0.5 SD above the RFI mean; 76). After the feed intake test, steers grazed on sorghum pasture and oat with corn supplementation during summer and autumn and winter, respectively, until achieving the slaughter weight (with back fat thickness 6.35 mm). During the finishing phase, the efficient steers had some lighter weights (P<0.05) at the start of finishing but achieved the same slaughter weight (P<0.001). Average daily gains during finishing were similar among efficiency groups. No differences were found among groups on ultrasound measures except a slight difference on UBFAT at pre-slaughter between medium and lower efficient (P=0.009). No differences were found among RFI groups for any carcass or meat quality traits. Phenotypic correlations with RFI were close to zero for all traits. These results suggest that increasing feed efficiency by RFI does not lead to unfavorable effect on finishing performance, carcass and meat quality. Larger dataset will allow the estimation of genetic correlation among these traits and the prediction of genetic correlat... Presentar Todo |
Palabras claves : |
Beef cattle; Growth; Residual feed intake; Tenderness. |
Thesagro : |
ALIMENTACION ANIMAL; GANADO DE CARNE. |
Asunto categoría : |
L02 Alimentación animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15395/1/association-between-feed-efficiency-and-carcass-and-meat-quality-traits-hereford-steers.pdf
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Marc : |
LEADER 02741nam a2200241 a 4500 001 1061873 005 2021-03-31 008 2018 bl uuuu u01u1 u #d 100 1 $aPRAVIA, M.I. 245 $aAssociation between feed efficiency and carcass and meat quality traits in Hereford steers.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018.$c2018 500 $aAcknowledgements: This work was supported by the Agencia Nacional de Investigación e Innovación (ANII) (grant RTS_1_2012_1_3489), Instituto Nacional de Investigación Agropecuaria (INIA), Sociedad de Criadores de Hereford (SCH), Instituto Nacional de Carnes (INAC), Instituto de Investigaciones Biológicas Clemente Estable (IIBCE) and Asociación Rural del Uruguay (ARU). 520 $aSUMMARY. The association between residual feed intake (RFI) and growth, carcass and meat quality traits were investigated using 233 Hereford steers. Individual feed intake, body liveweight, average daily gain and ultrasound measurements were recorded during 70-d post-weaning period to calculate RFI. Steers were categorized into high efficient (<0.5 SD below the RFI mean; 72), medium (mid ± 0.5 SD; 85), and low efficient steers (>0.5 SD above the RFI mean; 76). After the feed intake test, steers grazed on sorghum pasture and oat with corn supplementation during summer and autumn and winter, respectively, until achieving the slaughter weight (with back fat thickness 6.35 mm). During the finishing phase, the efficient steers had some lighter weights (P<0.05) at the start of finishing but achieved the same slaughter weight (P<0.001). Average daily gains during finishing were similar among efficiency groups. No differences were found among groups on ultrasound measures except a slight difference on UBFAT at pre-slaughter between medium and lower efficient (P=0.009). No differences were found among RFI groups for any carcass or meat quality traits. Phenotypic correlations with RFI were close to zero for all traits. These results suggest that increasing feed efficiency by RFI does not lead to unfavorable effect on finishing performance, carcass and meat quality. Larger dataset will allow the estimation of genetic correlation among these traits and the prediction of genetic correlated responses. Keywords: Residual feed intake, beef cattle, growth, tenderness. 650 $aALIMENTACION ANIMAL 650 $aGANADO DE CARNE 653 $aBeef cattle 653 $aGrowth 653 $aResidual feed intake 653 $aTenderness 700 1 $aNAVAJAS, E. 700 1 $aMACEDO, F. 700 1 $aCLARIGET, J.M. 700 1 $aLUZARDO, S.
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
08/11/2023 |
Actualizado : |
08/11/2023 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2023- Situación a Octubre. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Montevideo (UY): INIA, 2023. |
Páginas : |
6 p. |
Serie : |
(Informe Agroclimático; Año 18, No.10) |
Idioma : |
Español |
Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
Contenido : |
CONTENIDO. -- Síntesis de la Situación Agroclimática de Octubre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de agua disponible (PAD) -- Agua no retenida (ANR) -- Índice de bienestar hídrico (IBH) -- Perspectivas Climáticas nov-dic-ene elaboradas por el IRI de la Universidad de Columbia. -- Destacamos para este mes: Pronóstico de DON en trigo. Mapas a nivel nacional mostrando la cantidad de DON en trigo a cosecha.- Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Pron%C3%B3stico-DON-para-trigo- |
Palabras claves : |
AGTECH; AGUA DISPONIBLE (PAD); AGUA NO RETENIDA (ANR); BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; GRAFICAS AGROCLIMATICAS; GRAS; ÍNDICE DE BIENESTAR HÍDRICO (IBH); ÍNDICE DE VEGETACIÓN (NDVI); INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2023; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PORCENTAJE DE AGUA DISPONIBLE (PAD); PRECIPITACION NACIONAL; PRECIPITACIONES; PREVENCION HELADAS; PRONOSTICO; SENSOR; SISTEMAS DE INFORMACIÓN GEOGRÁFICA (SIG); SISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMÁTICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SISTEMAS DE INFORMACION GEOGRAFICOS; TEMPERATURA. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Octubre%20de%202023.pdf
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Marc : |
LEADER 03250nam a2200829 a 4500 001 1064364 005 2023-11-08 008 2023 bl uuuu u0uu1 u #d 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) 245 $aInforme agroclimático 2023- Situación a Octubre.$h[electronic resource] 260 $aMontevideo (UY): INIA$c2023 300 $a6 p. 490 $a(Informe Agroclimático; Año 18, No.10) 500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. 520 $aCONTENIDO. -- Síntesis de la Situación Agroclimática de Octubre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de agua disponible (PAD) -- Agua no retenida (ANR) -- Índice de bienestar hídrico (IBH) -- Perspectivas Climáticas nov-dic-ene elaboradas por el IRI de la Universidad de Columbia. -- Destacamos para este mes: Pronóstico de DON en trigo. Mapas a nivel nacional mostrando la cantidad de DON en trigo a cosecha.- Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Pron%C3%B3stico-DON-para-trigo- 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMÁTICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSISTEMAS DE INFORMACION GEOGRAFICOS 650 $aTEMPERATURA 653 $aAGTECH 653 $aAGUA DISPONIBLE (PAD) 653 $aAGUA NO RETENIDA (ANR) 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aGRAFICAS AGROCLIMATICAS 653 $aGRAS 653 $aÍNDICE DE BIENESTAR HÍDRICO (IBH) 653 $aÍNDICE DE VEGETACIÓN (NDVI) 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2023 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPORCENTAJE DE AGUA DISPONIBLE (PAD) 653 $aPRECIPITACION NACIONAL 653 $aPRECIPITACIONES 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSISTEMAS DE INFORMACIÓN GEOGRÁFICA (SIG) 653 $aSISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aGRAS
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