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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
09/01/2018 |
Actualizado : |
09/01/2018 |
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 2017 - Situación a Diciembre. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2017. |
Páginas : |
4 p. |
Serie : |
(Informe Agroclimático; 140) |
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 2017; 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/8213/1/Informe-agroclimatico-INIA-GRAS-Diciembre-de-2017.pdf
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Marc : |
LEADER 02130nam a2200805 a 4500 001 1057951 005 2018-01-09 008 2017 bl uuuu u0uu1 u #d 100 1 $aGIMÉNEZ, A. 245 $aInforme agroclimático 2017 - Situación a Diciembre.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2017 300 $a4 p. 490 $a(Informe Agroclimático; 140) 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 2017 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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INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
15/03/2023 |
Actualizado : |
15/03/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
LONDOÑO-GIL, M.; CARDONA-CIFUENTES, D.; ESPIGOLAN, R.; PERIPOLLI, E.; LÔBO, R. B.; PEREIRA, A. S. C.; AGUILAR, I.; BALDI, F. |
Afiliación : |
MARISOL LONDOÑO-GIL, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, 14884-900, Brazil; DANIEL CARDONA-CIFUENTES, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, 14884-900, Brazil; RAFAEL ESPIGOLAN, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225m Campus Fernando Costa – USP, CEP, SP, Pirassununga, 13635-900, Brazil; ELISA PERIPOLLI, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, 14884-900, Brazil; RAYSILDO B. LÔBO, Associação Nacional de Criadores e Pesquisadores (ANCP), Rua João Godoy, 463, Jardim América, CEP, SP, Ribeirão Preto, 14020-230, Brazil; ANGÉLICA S. C. PEREIRA, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, Av. Duque de Caxias Norte, 225 Campus Fernando Costa Jardim Elite, CEP, SP, Pirassununga, 13635-900, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225m Campus Fernando Costa – USP, CEP, SP, Pirassununga, 13635-900, Brazil. |
Título : |
Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Tropical Animal Health and Production, 2023, Volume 55, Issue 2, Article 95. doi: https://doi.org/10.1007/s11250-023-03508-4 |
ISSN : |
0049-4747 |
DOI : |
10.1007/s11250-023-03508-4 |
Idioma : |
Inglés |
Notas : |
Article history: Received 28 April 2022, Accepted 11 February 2023, To be Published April 2023. -- Correspondence author: Cardona-Cifuentes, D.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, Brazil; email:daniel.cardona@unesp.br -- FUNDING: This work was supported by the São Paulo Research Foundation, FAPESP (grant number 2016/22751-6). -- Publisher: Springer Science and Business Media B.V. -- |
Contenido : |
The aim of this work was to evaluate the impact of applying genomic information in pedigree uncertainty situations on genetic evaluations for growth- and cow productivity-related traits in Nelore commercial herds. Records for accumulated cow productivity (ACP) and adjusted weight at 450 days of age (W450) were used, as well as genotypes of registered and commercial herd animals, genotyped with the Clarifide Nelore 3.1 panel (~29,000 SNPs). The genetic values for commercial and registered populations were estimated using different approaches that included (ssGBLUP) or did not include genomic information (BLUP), with different pedigree structures. Different scenarios were tested, varying the proportion of young animals with unknown sires (0, 25, 50, 75, and 100%), and unknown maternal grandsires (0, 25, 50, 75, and 100%). The prediction accuracies and abilities were calculated. The estimated breeding value accuracies decreased as the proportion of unknown sires and maternal grandsires increased. The genomic estimated breeding value accuracy using the ssGBLUP was higher in scenarios with a lower proportion of known pedigree when compared to the BLUP methodology. The results obtained with the ssGBLUP showed that it is possible to obtain reliable direct and indirect predictions for young animals from commercial herds without pedigree structure. © 2023, The Author(s), under exclusive licence to Springer Nature B.V. |
Palabras claves : |
Beef cattle; Genomic prediction; Genomic selection; Pedigree uncertainty. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02904naa a2200289 a 4500 001 1063978 005 2023-03-15 008 2023 bl uuuu u00u1 u #d 022 $a0049-4747 024 7 $a10.1007/s11250-023-03508-4$2DOI 100 1 $aLONDOÑO-GIL, M. 245 $aGenomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 28 April 2022, Accepted 11 February 2023, To be Published April 2023. -- Correspondence author: Cardona-Cifuentes, D.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, Brazil; email:daniel.cardona@unesp.br -- FUNDING: This work was supported by the São Paulo Research Foundation, FAPESP (grant number 2016/22751-6). -- Publisher: Springer Science and Business Media B.V. -- 520 $aThe aim of this work was to evaluate the impact of applying genomic information in pedigree uncertainty situations on genetic evaluations for growth- and cow productivity-related traits in Nelore commercial herds. Records for accumulated cow productivity (ACP) and adjusted weight at 450 days of age (W450) were used, as well as genotypes of registered and commercial herd animals, genotyped with the Clarifide Nelore 3.1 panel (~29,000 SNPs). The genetic values for commercial and registered populations were estimated using different approaches that included (ssGBLUP) or did not include genomic information (BLUP), with different pedigree structures. Different scenarios were tested, varying the proportion of young animals with unknown sires (0, 25, 50, 75, and 100%), and unknown maternal grandsires (0, 25, 50, 75, and 100%). The prediction accuracies and abilities were calculated. The estimated breeding value accuracies decreased as the proportion of unknown sires and maternal grandsires increased. The genomic estimated breeding value accuracy using the ssGBLUP was higher in scenarios with a lower proportion of known pedigree when compared to the BLUP methodology. The results obtained with the ssGBLUP showed that it is possible to obtain reliable direct and indirect predictions for young animals from commercial herds without pedigree structure. © 2023, The Author(s), under exclusive licence to Springer Nature B.V. 653 $aBeef cattle 653 $aGenomic prediction 653 $aGenomic selection 653 $aPedigree uncertainty 700 1 $aCARDONA-CIFUENTES, D. 700 1 $aESPIGOLAN, R. 700 1 $aPERIPOLLI, E. 700 1 $aLÔBO, R. B. 700 1 $aPEREIRA, A. S. C. 700 1 $aAGUILAR, I. 700 1 $aBALDI, F. 773 $tTropical Animal Health and Production, 2023, Volume 55, Issue 2, Article 95. doi: https://doi.org/10.1007/s11250-023-03508-4
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