|
|
Registro completo
|
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
|
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.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
19/11/2021 |
Actualizado : |
02/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
GAURAV, K.; ARORA, S.; SILVA, P.; SÁNCHEZ-MARTÍN, J.; HORSNELL,R.; GAO, L.; BRAR ,G.S.; WIDRIG,V.; JOHN RAUPP,W.; SINGH, N.; WU, S.; KALE, S.M.; CHINOY, C.; NICHOLSON, P.; QUIROZ-CHÁVEZ, J.; SIMMONDS, J.; HAYTA, S.; SMEDLEY, M. A; HARWOOD, W.; PEARCE, S.; GILBERT, D.; KANGARA, N.; GARDENER, C.; FORNER-MARTÍNEZ, M.; LIU, J.; YU, G.; BODEN, S.A.; PASCUCCI, A.; GHOSH, S.; HAFEEZ, A.N.; O'HARA, T.; WAITES, J.; CHEEMA, J.; STEUERNAGEL, B.; PATPOUR, M.; JUSTESEN, A.F.; LIU, S.; RUDD, J. C.; AVNI, R.; SHARON, A.R; STEINER, B.; KIRANA, R.P.; BUERSTMAYR, H.; MEHRABI, A.A.; NASYROVA, F.Y.; CHAYUT, N.; MATNY, O.; STEFFENSON, B. J.; SANDHU, N.; CHHUNEJA, P.; LAGUDAH, E.; ELKOT, A.F.; TYRRELL, S.; BIAN, X.; DAVEY, R.P.; SIMONSEN, M.; SCHAUSER, L.; TIWARI, V.K.; RANDY KUTCHER, H.; HUCL, P.; LI, A.; LIU, D.C.; MAO, L.; XU, S.; BROWN-GUEDIRA, G.; FARIS, J.; DVORAK, J.; LUO, M.CH.; KRASILEVA, K.; LUX, T.; ARTMEIER, S.; MAYER, K. F. X.; UAUY, C.; MASCHER, M.; BENTLEY, A.R.; KELLER, B.; POLAND, J.; WULFF, B. B. H. |
Afiliación : |
KUMAR GAURAV; SANU ARORA; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Population genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Nature Biotechnology, Volume 40, Pages 422-431, March 2022. Open Access. doi: https://doi.org/10.1038/s41587-021-01058-4 |
DOI : |
10.1038/s41587-021-01058-4 |
Idioma : |
Inglés |
Contenido : |
Abstract:
Aegilops tauschii, the diploid wild progenitor of the D subgenome of bread wheat, is a reservoir of genetic diversity for improving bread wheat performance and environmental resilience. Here we sequenced 242 Ae. tauschii accessions and compared them to the wheat D subgenome to characterize genomic diversity. We found that a rare lineage of Ae. tauschii geographically restricted to present-day Georgia contributed to the wheat D subgenome in the independent hybridizations that gave rise to modern bread wheat. Through k-mer-based association mapping, we identified discrete genomic regions with candidate genes for disease and pest resistance and demonstrated their functional transfer into wheat by transgenesis and wide crossing, including the generation of a library of hexaploids incorporating diverse Ae. tauschii genomes. Exploiting the genomic diversity of the Ae. tauschii ancestral diploid genome permits rapid trait discovery and functional genetic validation in a hexaploid background amenable to breeding.
Autores: Kumar Gaurav, Sanu Arora, Paula Silva, Javier Sánchez-Martín, Richard Horsnell, Liangliang Gao, Gurcharn S. Brar, Victoria Widrig, W. John Raupp, Narinder Singh, Shuangye Wu, Sandip M. Kale, Catherine Chinoy, Paul Nicholson, Jesús Quiroz-Chávez, James Simmonds, Sadiye Hayta, Mark A. Smedley, Wendy Harwood, Suzannah Pearce, David Gilbert, Ngonidzashe Kangara, Catherine Gardener, Macarena Forner-Martínez, Jiaqian Liu, Guotai Yu, Scott A. Boden, Attilio Pascucci, Sreya Ghosh, Amber N. Hafeez, Tom O?Hara, Joshua Waites, Jitender Cheema, Burkhard Steuernagel, Mehran Patpour, Annemarie Fejer Justesen, Shuyu Liu, Jackie C. Rudd, Raz Avni, Amir Sharon, Barbara Steiner, Rizky Pasthika Kirana, Hermann Buerstmayr, Ali A. Mehrabi, Firuza Y. Nasyrova, Noam Chayut, Oadi Matny, Brian J. Steffenson, Nitika Sandhu, Parveen Chhuneja, Evans Lagudah, Ahmed F. Elkot, Simon Tyrrell, Xingdong Bian, Robert P. Davey, Martin Simonsen, Leif Schauser, Vijay K. Tiwari, H. Randy Kutcher, Pierre Hucl, Aili Li, Deng-Cai Liu, Long Mao, Steven Xu, Gina Brown-Guedira, Justin Faris, Jan Dvorak, Ming-Cheng Luo, Ksenia Krasileva, Thomas Lux, Susanne Artmeier, Klaus F. X. Mayer, Cristobal Uauy, Martin Mascher, Alison R. Bentley, Beat Keller, Jesse Poland & Brande B. H. Wulff MenosAbstract:
Aegilops tauschii, the diploid wild progenitor of the D subgenome of bread wheat, is a reservoir of genetic diversity for improving bread wheat performance and environmental resilience. Here we sequenced 242 Ae. tauschii accessions and compared them to the wheat D subgenome to characterize genomic diversity. We found that a rare lineage of Ae. tauschii geographically restricted to present-day Georgia contributed to the wheat D subgenome in the independent hybridizations that gave rise to modern bread wheat. Through k-mer-based association mapping, we identified discrete genomic regions with candidate genes for disease and pest resistance and demonstrated their functional transfer into wheat by transgenesis and wide crossing, including the generation of a library of hexaploids incorporating diverse Ae. tauschii genomes. Exploiting the genomic diversity of the Ae. tauschii ancestral diploid genome permits rapid trait discovery and functional genetic validation in a hexaploid background amenable to breeding.
Autores: Kumar Gaurav, Sanu Arora, Paula Silva, Javier Sánchez-Martín, Richard Horsnell, Liangliang Gao, Gurcharn S. Brar, Victoria Widrig, W. John Raupp, Narinder Singh, Shuangye Wu, Sandip M. Kale, Catherine Chinoy, Paul Nicholson, Jesús Quiroz-Chávez, James Simmonds, Sadiye Hayta, Mark A. Smedley, Wendy Harwood, Suzannah Pearce, David Gilbert, Ngonidzashe Kangara, Catherine Gardener, Macarena Forner-Martínez, Jiaqian Liu, Guotai Yu, Scott A. Boden, Attilio Pas... Presentar Todo |
Palabras claves : |
Hexaploid bread; WHEAT. |
Thesagro : |
MEJORAMIENTO GENETICO; TRITICUM AESTIVUM. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16672/1/s41587-021-01058-4-1.pdf
https://www.nature.com/articles/s41587-021-01058-4.pdf
|
Marc : |
LEADER 04120naa a2200325 a 4500 001 1062533 005 2022-09-02 008 2022 bl uuuu u00u1 u #d 024 7 $a10.1038/s41587-021-01058-4$2DOI 100 1 $aGAURAV, K. 245 $aPopulation genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement.$h[electronic resource] 260 $c2022 520 $aAbstract: Aegilops tauschii, the diploid wild progenitor of the D subgenome of bread wheat, is a reservoir of genetic diversity for improving bread wheat performance and environmental resilience. Here we sequenced 242 Ae. tauschii accessions and compared them to the wheat D subgenome to characterize genomic diversity. We found that a rare lineage of Ae. tauschii geographically restricted to present-day Georgia contributed to the wheat D subgenome in the independent hybridizations that gave rise to modern bread wheat. Through k-mer-based association mapping, we identified discrete genomic regions with candidate genes for disease and pest resistance and demonstrated their functional transfer into wheat by transgenesis and wide crossing, including the generation of a library of hexaploids incorporating diverse Ae. tauschii genomes. Exploiting the genomic diversity of the Ae. tauschii ancestral diploid genome permits rapid trait discovery and functional genetic validation in a hexaploid background amenable to breeding. Autores: Kumar Gaurav, Sanu Arora, Paula Silva, Javier Sánchez-Martín, Richard Horsnell, Liangliang Gao, Gurcharn S. Brar, Victoria Widrig, W. John Raupp, Narinder Singh, Shuangye Wu, Sandip M. Kale, Catherine Chinoy, Paul Nicholson, Jesús Quiroz-Chávez, James Simmonds, Sadiye Hayta, Mark A. Smedley, Wendy Harwood, Suzannah Pearce, David Gilbert, Ngonidzashe Kangara, Catherine Gardener, Macarena Forner-Martínez, Jiaqian Liu, Guotai Yu, Scott A. Boden, Attilio Pascucci, Sreya Ghosh, Amber N. Hafeez, Tom O?Hara, Joshua Waites, Jitender Cheema, Burkhard Steuernagel, Mehran Patpour, Annemarie Fejer Justesen, Shuyu Liu, Jackie C. Rudd, Raz Avni, Amir Sharon, Barbara Steiner, Rizky Pasthika Kirana, Hermann Buerstmayr, Ali A. Mehrabi, Firuza Y. Nasyrova, Noam Chayut, Oadi Matny, Brian J. Steffenson, Nitika Sandhu, Parveen Chhuneja, Evans Lagudah, Ahmed F. Elkot, Simon Tyrrell, Xingdong Bian, Robert P. Davey, Martin Simonsen, Leif Schauser, Vijay K. Tiwari, H. Randy Kutcher, Pierre Hucl, Aili Li, Deng-Cai Liu, Long Mao, Steven Xu, Gina Brown-Guedira, Justin Faris, Jan Dvorak, Ming-Cheng Luo, Ksenia Krasileva, Thomas Lux, Susanne Artmeier, Klaus F. X. Mayer, Cristobal Uauy, Martin Mascher, Alison R. Bentley, Beat Keller, Jesse Poland & Brande B. H. Wulff 650 $aMEJORAMIENTO GENETICO 650 $aTRITICUM AESTIVUM 653 $aHexaploid bread 653 $aWHEAT 700 1 $aARORA, S. 700 1 $aSILVA, P. 700 1 $aSÁNCHEZ-MARTÍN, J. 700 1 $aHORSNELL,R. 700 1 $aGAO, L. 700 1 $aBRAR ,G.S. 700 1 $aWIDRIG,V. 700 1 $aJOHN RAUPP,W. 700 1 $aSINGH, N. 700 1 $aWU, S. 700 1 $aKALE, S.M. 700 1 $aCHINOY, C.; NICHOLSON, P.; QUIROZ-CHÁVEZ, J.; SIMMONDS, J.; HAYTA, S.; SMEDLEY, M. A; HARWOOD, W.; PEARCE, S.; GILBERT, D.; KANGARA, N.; GARDENER, C.; FORNER-MARTÍNEZ, M.; LIU, J.; YU, G.; BODEN, S.A.; PASCUCCI, A.; GHOSH, S.; HAFEEZ, A.N.; O'HARA, T.; WAITES, J.; CHEEMA, J.; STEUERNAGEL, B.; PATPOUR, M.; JUSTESEN, A.F.; LIU, S.; RUDD, J. C.; AVNI, R.; SHARON, A.R; STEINER, B.; KIRANA, R.P.; BUERSTMAYR, H.; MEHRABI, A.A.; NASYROVA, F.Y.; CHAYUT, N.; MATNY, O.; STEFFENSON, B. J.; SANDHU, N.; CHHUNEJA, P.; LAGUDAH, E.; ELKOT, A.F.; TYRRELL, S.; BIAN, X.; DAVEY, R.P.; SIMONSEN, M.; SCHAUSER, L.; TIWARI, V.K.; RANDY KUTCHER, H.; HUCL, P.; LI, A.; LIU, D.C.; MAO, L.; XU, S.; BROWN-GUEDIRA, G.; FARIS, J.; DVORAK, J.; LUO, M.CH.; KRASILEVA, K.; LUX, T.; ARTMEIER, S.; MAYER, K. F. X.; UAUY, C.; MASCHER, M.; BENTLEY, A.R.; KELLER, B.; POLAND, J.; WULFF, B. B. H. 773 $tNature Biotechnology, Volume 40, Pages 422-431, March 2022. Open Access. doi: https://doi.org/10.1038/s41587-021-01058-4
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA La Estanzuela (LE) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|