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| 1. |  | 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. Genetic selection of feed efficiency and methane emissions in sheep and cattle in Uruguay: progress and limitations. [29] Part 5 - Novel traits: environment and greenhouse gas- 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_29 164-167. 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...| Biblioteca(s): INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/07/2022 |
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Actualizado : |
27/02/2023 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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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. |
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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. |
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Título : |
Genetic selection of feed efficiency and methane emissions in sheep and cattle in Uruguay: progress and limitations. [29] |
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Complemento del título : |
Part 5 - Novel traits: environment and greenhouse gas- |
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Fecha de publicación : |
2022 |
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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 |
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Páginas : |
164-167. |
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DOI : |
10.3920/978-90-8686-940-4_29 |
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Idioma : |
Inglés |
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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). |
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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. |
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Palabras claves : |
Beef breeding programmes; Greenhouse gas (GHG) mitigation; Methane (CH4) emissions; Sheep breeding programmes. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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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 : |
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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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INIA Las Brujas (LB) |
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