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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
27/07/2022 |
Actualizado : |
27/02/2023 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
NAVAJAS, E.; RAVAGNOLO, O.; DE BARBIERI, I.; PRAVIA, M.I.; AGUILAR, I.; LEMA, O.M.; VERA, B.; PERAZA, P.; MARQUES, C. B.; VELAZCO, J.I.; CIAPPESONI, G. |
Afiliación : |
ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA ISABEL PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR MARIO LEMA QUEIJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRENDA VERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO PERAZA DOS SANTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAMILA BALCONI MARQUES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genetic selection of feed efficiency and methane emissions in sheep and cattle in Uruguay: progress and limitations. [29] |
Complemento del título : |
Part 5 - Novel traits: environment and greenhouse gas- |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_29 |
Páginas : |
164-167. |
DOI : |
10.3920/978-90-8686-940-4_29 |
Idioma : |
Inglés |
Notas : |
Article history: Published online: February 9, 2023. -- Corresponding author: E.A. Navajas, email: enavajas@inia.org.uy -- Acknowledgements: The authors acknowledge the funding organizations INIA, Agencia Nacional de Investigación e Innovación (RTS_1_2012_1_3489), the European Union?s Horizon 2020 research and innovation program under grant agreement No 772787 (SMARTER) and the SusAn, ICT-AGRI 2 and FACCE ERA-GAS funding bodies (GrassToGas project). |
Contenido : |
ABSTRACT.- Residual feed intake (RFI) and methane (CH4) emissions are potential new selection objectives in beef and sheep breeding programmes to assist reaching greenhouse gas mitigation targets and to support economic, social, and environmental sustainability. Phenotyping platforms in both species are in place in Uruguay, linked with the genetically evaluated populations of main breeds (Hereford, Merino, Corriedale, Dohne and Texel), being the basis of the reference populations for genomic selection. Current progress and main findings are described here. New selection indexes and selection criteria, as residual CH4, are needed given the potential unfavourable associations between CH4 and performance. Larger reference populations imply higher genomic prediction accuracies, accurate estimations of genetic correlations among feed intake, RFI, CH4 and performance and a comprehensive understanding of these associations. On-going rumen metagenomics and metatrascriptomics will also provide information about its value as predictor of genetic merit of these traits. |
Palabras claves : |
Beef breeding programmes; Greenhouse gas (GHG) mitigation; Methane (CH4) emissions; Sheep breeding programmes. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16995/1/978-90-8686-940-4-29.pdf
https://www.wageningenacademic.com/doi/epdf/10.3920/978-90-8686-940-4_29
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Marc : |
LEADER 02623nam a2200313 a 4500 001 1063460 005 2023-02-27 008 2022 bl uuuu u01u1 u #d 024 7 $a10.3920/978-90-8686-940-4_29$2DOI 100 1 $aNAVAJAS, E. 245 $aGenetic selection of feed efficiency and methane emissions in sheep and cattle in Uruguay$bprogress and limitations. [29]$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_29$c8686 300 $a164-167. 500 $aArticle history: Published online: February 9, 2023. -- Corresponding author: E.A. Navajas, email: enavajas@inia.org.uy -- Acknowledgements: The authors acknowledge the funding organizations INIA, Agencia Nacional de Investigación e Innovación (RTS_1_2012_1_3489), the European Union?s Horizon 2020 research and innovation program under grant agreement No 772787 (SMARTER) and the SusAn, ICT-AGRI 2 and FACCE ERA-GAS funding bodies (GrassToGas project). 520 $aABSTRACT.- Residual feed intake (RFI) and methane (CH4) emissions are potential new selection objectives in beef and sheep breeding programmes to assist reaching greenhouse gas mitigation targets and to support economic, social, and environmental sustainability. Phenotyping platforms in both species are in place in Uruguay, linked with the genetically evaluated populations of main breeds (Hereford, Merino, Corriedale, Dohne and Texel), being the basis of the reference populations for genomic selection. Current progress and main findings are described here. New selection indexes and selection criteria, as residual CH4, are needed given the potential unfavourable associations between CH4 and performance. Larger reference populations imply higher genomic prediction accuracies, accurate estimations of genetic correlations among feed intake, RFI, CH4 and performance and a comprehensive understanding of these associations. On-going rumen metagenomics and metatrascriptomics will also provide information about its value as predictor of genetic merit of these traits. 653 $aBeef breeding programmes 653 $aGreenhouse gas (GHG) mitigation 653 $aMethane (CH4) emissions 653 $aSheep breeding programmes 700 1 $aRAVAGNOLO, O. 700 1 $aDE BARBIERI, I. 700 1 $aPRAVIA, M.I. 700 1 $aAGUILAR, I. 700 1 $aLEMA, O.M. 700 1 $aVERA, B. 700 1 $aPERAZA, P. 700 1 $aMARQUES, C. B. 700 1 $aVELAZCO, J.I. 700 1 $aCIAPPESONI, G.
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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; INIA Tacuarembó. |
Fecha actual : |
28/03/2016 |
Actualizado : |
23/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
DALLA RIZZA, M.; SCHVARTZMAN, C.; BOSCHI, F.; MAIDANA, M.; MURCHIO, S.; VILARO, F. |
Afiliación : |
MARCO DALLA RIZZA VILARO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CLAUDIA SCHVARTZMAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO BOSCHI, INASE (Instituto Nacional de Semillas).; MATIAS MAIDANA ETCHEVERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA SARA MURCHIO VIGNOLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANCISCO LUIS VILARO PAREJA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Complementando herramientas para el mejoramiento genético vegetal: ingeniería genética y mejoramiento convencional. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
Revista INIA Uruguay, 2016, No.44, p. 42-46. |
Serie : |
(Revista INIA; 44) |
ISSN : |
1510-9011 |
Idioma : |
Español |
Palabras claves : |
EVALUACION DE RIESGO AMBIENTAL (ERA); GRANJAS MOLECULARES. |
Thesagro : |
BIOSEGURIDAD; BIOTECNOLOGIA; BIOTECNOLOGIA VEGETAL; EVALUACIÓN DE RIESGO; FITOMEJORAMIENTO; ORGANISMOS GENETICAMENTE MODIFICADOS; PAPA; TOMATE. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5579/1/Rev.INIA-2016-No44-p.42-46.pdf
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Marc : |
LEADER 00928naa a2200313 a 4500 001 1054534 005 2019-10-23 008 2016 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aDALLA RIZZA, M. 245 $aComplementando herramientas para el mejoramiento genético vegetal$bingeniería genética y mejoramiento convencional. 260 $c2016 490 $a(Revista INIA; 44) 650 $aBIOSEGURIDAD 650 $aBIOTECNOLOGIA 650 $aBIOTECNOLOGIA VEGETAL 650 $aEVALUACIÓN DE RIESGO 650 $aFITOMEJORAMIENTO 650 $aORGANISMOS GENETICAMENTE MODIFICADOS 650 $aPAPA 650 $aTOMATE 653 $aEVALUACION DE RIESGO AMBIENTAL (ERA) 653 $aGRANJAS MOLECULARES 700 1 $aSCHVARTZMAN, C. 700 1 $aBOSCHI, F. 700 1 $aMAIDANA, M. 700 1 $aMURCHIO, S. 700 1 $aVILARO, F. 773 $tRevista INIA Uruguay, 2016, No.44, p. 42-46.
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