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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
26/01/2024 |
Actualizado : |
26/01/2024 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
BRANDA-SICA, A.; ARTIGAS, R.; DE TORRES, E.; KINLEY, E.; NICOLINI, P.; FEDERICI, M.; LLAMBÍ, S. |
Afiliación : |
ANDREA BRANDA SICA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RODY ARTIGAS, Facultad de Veterinaria, Unidad Académica de Genética y Mejora Animal, Universidad de la República, Montevideo, Uruguay; ELENA DE TORRES, Facultad de Veterinaria, Campo Experimental N°2, Universidad de la República, San José, Uruguay; EVANGELINA KINLEY, Facultad de Veterinaria, Campo Experimental N°2, Universidad de la República, San José, Uruguay; PAULA NICOLINI, Centro Universitario de Tacuarembó, Instituto Superior de la Carne, Universidad de la República, Tacuarembó, Uruguay; MARIA TERESA FEDERICI RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA LLAMBÍ, Facultad de Veterinaria, Unidad Académica de Genética y Mejora Animal, Universidad de la República, Montevideo, Uruguay. |
Título : |
Monitoring of recessive defects associated with low reproductive performance in dairy cattle in Uruguay. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Open Veterinary Journal, 2023, Volume 13, Issue 10, Pages 1290-1298. http://doi.org/10.5455/OVJ.2023.v13.i10.8 -- OPEN ACCESS. |
ISSN : |
2226-4485 |
DOI : |
10.5455/OVJ.2023.v13.i10.8 |
Idioma : |
Inglés |
Notas : |
Article history: Submitted: 02 July 2023, Accepted: 12 September 2023, Published: 31 October 2023. -- Document type: Article Gold Open Access, Article Green Open Access. -- Correspondence: Branda-Sica, A.; Instituto Nacional de Investigación Agropecuaria, Sistema Ganadero Extensivo-Salud Animal, Canelones, Uruguay; email:abranda@inia.org.uy -- Funding: The research leading to the results presented in this publication received funding from ANII (POS_ NAC_2017_1_141239), INIA (projects PL_027 N-23398 and BT_21 N-23330), and CSIC-UdelaR. -- Data availability_ The data supporting the findings of this study are available within the manuscript. Any other data are available from the corresponding author upon reasonable request. -- |
Contenido : |
ABSTRACT.- Background: Most dairy cattle breeds originate show an average generational inbreeding rate of 1%, which favors the occurrence of recessive defects associated with low reproductive performance. Aim: The objective of this study was to monitor recessive defects associated with low reproductive performance in dairy cattle. Methods: To monitor bulls carrying the Holstein Friesian haplotype (HH) 1, HH3, and HH4 haplotypes, we analyzed the records of 3,028 national and imported Holstein Friesian bulls from the 2021 updated sires' catalog published by "Evaluaciones Genéticas Lecheras"; and to determine the presence of these mentioned haplotypes, as well as Jersey haplotype (JH) 1 and complex vertebral malformation (CVM), were genotype with the GeneTitan® 2,500 single nucleotide polymorphism (SNP) bovine chip, estimate their frequencies and evaluate their impact on the fertility of 100 Holstein Friesian cows and 70 Holstein Friesian-Jersey crosses belonging to an experimental dairy. Results: From a total of 1,468 (48.5%) bulls with genetic information from the sires' catalog for HH1 and 1,471 (48.6%) for HH3 and HH4, we found 90 (6.1%) carriers for HH1, 60 (4.1%) for HH3, and 6 (0.4%) for HH4, respectively. By genotyping with the chip, we calculated the herd frequency of the mutant alleles and herd prevalence of carriers for HH1 and CVM as q = 0.003 and 0.022; 0.59% and 4.3% (call rate >0.99), respectively. No mutant alleles were found for HH3, HH4, and JH1 in the analyzed population. We examined reproductive data by observing the presence of CVM and HH1 mutant alleles in repeat cows with an average of four services to achieve pregnancy. Conclusion: This study demonstrated the presence of recessive defects associated with low reproductive performance in the analyzed population, which can affect the health and productivity of dairy cattle. Therefore, cows and bulls should be closely monitored through genetic testing to lower the incidence of recessive defects in dairy cattle. © 2023, Faculty of Veterinary Medicine, University of Tripoli. All rights reserved. MenosABSTRACT.- Background: Most dairy cattle breeds originate show an average generational inbreeding rate of 1%, which favors the occurrence of recessive defects associated with low reproductive performance. Aim: The objective of this study was to monitor recessive defects associated with low reproductive performance in dairy cattle. Methods: To monitor bulls carrying the Holstein Friesian haplotype (HH) 1, HH3, and HH4 haplotypes, we analyzed the records of 3,028 national and imported Holstein Friesian bulls from the 2021 updated sires' catalog published by "Evaluaciones Genéticas Lecheras"; and to determine the presence of these mentioned haplotypes, as well as Jersey haplotype (JH) 1 and complex vertebral malformation (CVM), were genotype with the GeneTitan® 2,500 single nucleotide polymorphism (SNP) bovine chip, estimate their frequencies and evaluate their impact on the fertility of 100 Holstein Friesian cows and 70 Holstein Friesian-Jersey crosses belonging to an experimental dairy. Results: From a total of 1,468 (48.5%) bulls with genetic information from the sires' catalog for HH1 and 1,471 (48.6%) for HH3 and HH4, we found 90 (6.1%) carriers for HH1, 60 (4.1%) for HH3, and 6 (0.4%) for HH4, respectively. By genotyping with the chip, we calculated the herd frequency of the mutant alleles and herd prevalence of carriers for HH1 and CVM as q = 0.003 and 0.022; 0.59% and 4.3% (call rate >0.99), respectively. No mutant alleles were found for HH3, HH4, and JH1 in the analyze... Presentar Todo |
Palabras claves : |
Artificial insemination; Bos taurus; Fertility; Hereditary diseases; Partnership for the goals - Goal 17; SISTEMA GANADERO EXTENSIVO - INIA; Sustainable Development Goals (SDGs). |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
https://www.openveterinaryjournal.com/fulltext/100-1688127919.pdf
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Marc : |
LEADER 03861naa a2200313 a 4500 001 1064439 005 2024-01-26 008 2023 bl uuuu u00u1 u #d 022 $a2226-4485 024 7 $a10.5455/OVJ.2023.v13.i10.8$2DOI 100 1 $aBRANDA-SICA, A. 245 $aMonitoring of recessive defects associated with low reproductive performance in dairy cattle in Uruguay.$h[electronic resource] 260 $c2023 500 $aArticle history: Submitted: 02 July 2023, Accepted: 12 September 2023, Published: 31 October 2023. -- Document type: Article Gold Open Access, Article Green Open Access. -- Correspondence: Branda-Sica, A.; Instituto Nacional de Investigación Agropecuaria, Sistema Ganadero Extensivo-Salud Animal, Canelones, Uruguay; email:abranda@inia.org.uy -- Funding: The research leading to the results presented in this publication received funding from ANII (POS_ NAC_2017_1_141239), INIA (projects PL_027 N-23398 and BT_21 N-23330), and CSIC-UdelaR. -- Data availability_ The data supporting the findings of this study are available within the manuscript. Any other data are available from the corresponding author upon reasonable request. -- 520 $aABSTRACT.- Background: Most dairy cattle breeds originate show an average generational inbreeding rate of 1%, which favors the occurrence of recessive defects associated with low reproductive performance. Aim: The objective of this study was to monitor recessive defects associated with low reproductive performance in dairy cattle. Methods: To monitor bulls carrying the Holstein Friesian haplotype (HH) 1, HH3, and HH4 haplotypes, we analyzed the records of 3,028 national and imported Holstein Friesian bulls from the 2021 updated sires' catalog published by "Evaluaciones Genéticas Lecheras"; and to determine the presence of these mentioned haplotypes, as well as Jersey haplotype (JH) 1 and complex vertebral malformation (CVM), were genotype with the GeneTitan® 2,500 single nucleotide polymorphism (SNP) bovine chip, estimate their frequencies and evaluate their impact on the fertility of 100 Holstein Friesian cows and 70 Holstein Friesian-Jersey crosses belonging to an experimental dairy. Results: From a total of 1,468 (48.5%) bulls with genetic information from the sires' catalog for HH1 and 1,471 (48.6%) for HH3 and HH4, we found 90 (6.1%) carriers for HH1, 60 (4.1%) for HH3, and 6 (0.4%) for HH4, respectively. By genotyping with the chip, we calculated the herd frequency of the mutant alleles and herd prevalence of carriers for HH1 and CVM as q = 0.003 and 0.022; 0.59% and 4.3% (call rate >0.99), respectively. No mutant alleles were found for HH3, HH4, and JH1 in the analyzed population. We examined reproductive data by observing the presence of CVM and HH1 mutant alleles in repeat cows with an average of four services to achieve pregnancy. Conclusion: This study demonstrated the presence of recessive defects associated with low reproductive performance in the analyzed population, which can affect the health and productivity of dairy cattle. Therefore, cows and bulls should be closely monitored through genetic testing to lower the incidence of recessive defects in dairy cattle. © 2023, Faculty of Veterinary Medicine, University of Tripoli. All rights reserved. 653 $aArtificial insemination 653 $aBos taurus 653 $aFertility 653 $aHereditary diseases 653 $aPartnership for the goals - Goal 17 653 $aSISTEMA GANADERO EXTENSIVO - INIA 653 $aSustainable Development Goals (SDGs) 700 1 $aARTIGAS, R. 700 1 $aDE TORRES, E. 700 1 $aKINLEY, E. 700 1 $aNICOLINI, P. 700 1 $aFEDERICI, M. 700 1 $aLLAMBÍ, S. 773 $tOpen Veterinary Journal, 2023, Volume 13, Issue 10, Pages 1290-1298. http://doi.org/10.5455/OVJ.2023.v13.i10.8 -- OPEN ACCESS.
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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 : |
06/02/2018 |
Actualizado : |
06/02/2018 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMÉNEZ, A.; CAL, A.; TISCORNIA, G.; SCHIAVI, C. |
Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2018 - Situación a Enero. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2018. |
Páginas : |
4 p. |
Serie : |
(Informe Agroclimático; 141) |
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; INFORME AGROCLIMÁTICO 2018; 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 : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8269/1/Informe-agroclimatico-INIA-GRAS-Enero-de-2018.pdf
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Marc : |
LEADER 02126nam a2200805 a 4500 001 1058027 005 2018-02-06 008 2018 bl uuuu u0uu1 u #d 100 1 $aGIMÉNEZ, A. 245 $aInforme agroclimático 2018 - Situación a Enero.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2018 300 $a4 p. 490 $a(Informe Agroclimático; 141) 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 $aINFORME AGROCLIMÁTICO 2018 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 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C.
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