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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 : |
SIGDEL, A.; AGUILAR, I.; ABDOLLAHI-ARPANAHI, R.; PEÑAGARICANO, F. |
Afiliación : |
ANIL SIGDEL, Department of Animal Sciences, University of Florida, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROSTAM ABDOLLAHI-ARPANAHI, Department of Animal and Poultry Science, University of Tehran, Iran; FRANCISCO PEÑAGARICANO, Department of Animal Sciences, University of Florida, USA. |
Título : |
Genetic analysis of heat tolerance for production and health traits in US Holstein cows. |
Complemento del título : |
Volume Biology & Species - Bovine (dairy) 1, 916. |
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. |
Páginas : |
6 p. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT..
Heat stress reduces milk production, depresses fertility and increases the incidence of health disorders in dairy cows. Our first goal was to estimate genetic components of milk yield (MY) and somatic cell score (SCS) across lactations considering heat stress. Our second goal was to reveal genes responsible for thermotolerance. Data included 254k MY and 356k SCR test-day records of 20k Holstein cows. Multi-trait repeatability test-day models with random regressions on THI values were used to estimate variance components. The models included herd-test-date and DIM classes as fixed effects, and generic and heat tolerance additive and permanent environmental as random effects. Genetic variances for MY under-heat stress increased 3.9 and 6.5% between consecutive parities, suggesting that cows become more sensitive as they age. Heritability estimates for MY at THI 78 were between 0.17 to 0.32. Genetic correlations between general merit and heat tolerance ranged from -0.30 and -0.55, indicating production and thermotolerance are antagonistic. For SCS, heritability estimates for SCS at THI 78 were between 0.10 and 0.16. For this trait, genetic correlations between general merit and thermotolerance were always positive, ranged from +0.10 to +0.43. Whole-genome scans were performed using ssGBLUP. For MY, as expected, the region on BTA14 that harbors DGAT1 was associated with general merit in all three parities. One region on BTA15 was associated with thermotolerance across lactations; this region harbors PEX16, MAPK8IP1, and CREB3L1, genes implicated in thermogenesis and cellular response to heat stress. For SCS, regions on BTA6 and BTA29 were implicated in general udder health in all parities. These regions harbor genes, such as CXCL13, SCARB2, and FAT3, that are involved in immune response. Notably, genes DLX1 and DLX2 which downregulate cytokine signalling pathway were associated with SCS thermotolerance in all lactations. Overall, this study contributes to better understanding of the genetics underlying heat stress and point out novel opportunities for improving thermotolerance in dairy cattle. Keywords: heat stress, variance components, repeatability test-day model, ssGBLUP. MenosABSTRACT..
Heat stress reduces milk production, depresses fertility and increases the incidence of health disorders in dairy cows. Our first goal was to estimate genetic components of milk yield (MY) and somatic cell score (SCS) across lactations considering heat stress. Our second goal was to reveal genes responsible for thermotolerance. Data included 254k MY and 356k SCR test-day records of 20k Holstein cows. Multi-trait repeatability test-day models with random regressions on THI values were used to estimate variance components. The models included herd-test-date and DIM classes as fixed effects, and generic and heat tolerance additive and permanent environmental as random effects. Genetic variances for MY under-heat stress increased 3.9 and 6.5% between consecutive parities, suggesting that cows become more sensitive as they age. Heritability estimates for MY at THI 78 were between 0.17 to 0.32. Genetic correlations between general merit and heat tolerance ranged from -0.30 and -0.55, indicating production and thermotolerance are antagonistic. For SCS, heritability estimates for SCS at THI 78 were between 0.10 and 0.16. For this trait, genetic correlations between general merit and thermotolerance were always positive, ranged from +0.10 to +0.43. Whole-genome scans were performed using ssGBLUP. For MY, as expected, the region on BTA14 that harbors DGAT1 was associated with general merit in all three parities. One region on BTA15 was associated with thermotolerance across... Presentar Todo |
Palabras claves : |
Heat stress; Repeatability test-day model; SsGBLUP; Variance components. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15435/1/Sigdel-et-al-2018-WCGALP.pdf
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Marc : |
LEADER 02945nam a2200205 a 4500 001 1061911 005 2021-03-31 008 2018 bl uuuu u01u1 u #d 100 1 $aSIGDEL, A. 245 $aGenetic analysis of heat tolerance for production and health traits in US Holstein cows.$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 300 $a6 p. 520 $aABSTRACT.. Heat stress reduces milk production, depresses fertility and increases the incidence of health disorders in dairy cows. Our first goal was to estimate genetic components of milk yield (MY) and somatic cell score (SCS) across lactations considering heat stress. Our second goal was to reveal genes responsible for thermotolerance. Data included 254k MY and 356k SCR test-day records of 20k Holstein cows. Multi-trait repeatability test-day models with random regressions on THI values were used to estimate variance components. The models included herd-test-date and DIM classes as fixed effects, and generic and heat tolerance additive and permanent environmental as random effects. Genetic variances for MY under-heat stress increased 3.9 and 6.5% between consecutive parities, suggesting that cows become more sensitive as they age. Heritability estimates for MY at THI 78 were between 0.17 to 0.32. Genetic correlations between general merit and heat tolerance ranged from -0.30 and -0.55, indicating production and thermotolerance are antagonistic. For SCS, heritability estimates for SCS at THI 78 were between 0.10 and 0.16. For this trait, genetic correlations between general merit and thermotolerance were always positive, ranged from +0.10 to +0.43. Whole-genome scans were performed using ssGBLUP. For MY, as expected, the region on BTA14 that harbors DGAT1 was associated with general merit in all three parities. One region on BTA15 was associated with thermotolerance across lactations; this region harbors PEX16, MAPK8IP1, and CREB3L1, genes implicated in thermogenesis and cellular response to heat stress. For SCS, regions on BTA6 and BTA29 were implicated in general udder health in all parities. These regions harbor genes, such as CXCL13, SCARB2, and FAT3, that are involved in immune response. Notably, genes DLX1 and DLX2 which downregulate cytokine signalling pathway were associated with SCS thermotolerance in all lactations. Overall, this study contributes to better understanding of the genetics underlying heat stress and point out novel opportunities for improving thermotolerance in dairy cattle. Keywords: heat stress, variance components, repeatability test-day model, ssGBLUP. 653 $aHeat stress 653 $aRepeatability test-day model 653 $aSsGBLUP 653 $aVariance components 700 1 $aAGUILAR, I. 700 1 $aABDOLLAHI-ARPANAHI, R. 700 1 $aPEÑAGARICANO, F.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
18/06/2015 |
Actualizado : |
18/06/2015 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMENEZ, A.; CASTAÑO, J.; FUREST, J.; AUNCHAYNA, R. |
Afiliación : |
AGUSTIN EDUARDO GIMENEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE MARIA FUREST CROCCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROSSINA MARIANA AUNCHAYNA REILLY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe Agroclimático 2010 - Situación a Octubre. |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2010. |
Páginas : |
4 p. |
Idioma : |
Español |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4684/1/Inf.Agr.-octubre-2010.pdf
http://www.inia.uy/Publicaciones/Paginas/publicacion-2160.aspx
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Marc : |
LEADER 02041nam a2200781 a 4500 001 1052836 005 2015-06-18 008 2010 bl uuuu u0uu1 u #d 100 1 $aGIMENEZ, A. 245 $aInforme Agroclimático 2010 - Situación a Octubre.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2010 300 $a4 p. 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 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 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICOS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aCASTAÑO, J. 700 1 $aFUREST, J. 700 1 $aAUNCHAYNA, R.
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