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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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 : |
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 Treinta y Tres. |
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Fecha actual : |
02/03/2020 |
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Actualizado : |
03/03/2020 |
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Tipo de producción científica : |
Poster |
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Autor : |
TSENG, M.C.; ROEL, A.; MARELLA, M.; ZORRILLA DE SAN MARTÍN, G.; TERRA, J.A.; PITTELKOW, C. |
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Afiliación : |
MENG-CHUN TSENG, Department of Crop Sciences, University of Illinois-Urbana-Champaign.; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MUZIO MARELLA, Sociedad Anónima Molinos Arreceros Nacionales (SAMAN), Uruguay; GONZALO ROBERTO ZORRILLA DE SAN MARTÍN PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAMERON PITTELKOW, Department of Crop Sciences, University of Illinois-Urbana-Champaign. |
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Título : |
Assessment of yield gaps in high-yielding rice systems in Uruguay using field-level data. [Poster]. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020. |
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ISBN : |
978-65-00-00331-4 |
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Idioma : |
Inglés |
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Palabras claves : |
SISTEMA ARROZ-PASTURAS; YIELD GAPS. |
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Thesagro : |
Arroz. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14225/1/IRTC-2020-Roel-2-Poster.pdf
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Marc : |
LEADER 00795nam a2200205 a 4500
001 1060842
005 2020-03-03
008 2020 bl uuuu u00u1 u #d
020 $a978-65-00-00331-4
100 1 $aTSENG, M.C.
245 $aAssessment of yield gaps in high-yielding rice systems in Uruguay using field-level data. [Poster].$h[electronic resource]
260 $aIn: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa$c2020
650 $aArroz
653 $aSISTEMA ARROZ-PASTURAS
653 $aYIELD GAPS
700 1 $aROEL, A.
700 1 $aMARELLA, M.
700 1 $aZORRILLA DE SAN MARTÍN, G.
700 1 $aTERRA, J.A.
700 1 $aPITTELKOW, C.
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INIA Treinta y Tres (TT) |
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