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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 : |
CONINGTON, J.; LAMBE, N.; TORTEREAU, F.; MCGOVERN, F.; NAVAJAS, E.; DE BARBIERI, I.; CIAPPESONI, G.; JAKOBSEN, J.; SMITH, E .; YATES, J.; LE GRAVERAND, Q.; MCDERMOTT, K.; STEINHEIM, G.; ASPEHOLEN, B.; DØNNEM, I.; MCHUGH, N.; FARRELL, L.; MARIE-ETANCELIN, C.; JOHNSON, P.; ROWE, S. |
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Afiliación : |
J. CONINGTON, SRUC Easter Bush, Roslin Institute Building, Edinburgh EH25 9RG, UK; N. LAMBE, SRUC, Hill and Mountain Research Centre, Crianlarich, West Perthshire, FK20 8RU, UK; F. TORTEREAU, GenPhySE, Université de Toulouse, INRAE, Castanet Tolosan, France; F. MCGOVERN, Teagasc, Animal and Grassland Research and Innovation Centre, Athenry, H65 R718, Co. Galway, Ireland; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J. JAKOBSEN, Norwegian Association of Sheep and Goat Breeders, Box 104, 1431, Ås, Norway; E. SMITH, The British Texel Sheep Society, Stoneleigh Park, Warwickshire, CV8 2LG; J. YATES, The British Texel Sheep Society, Stoneleigh Park, Warwickshire, CV8 2LG; Q. LE GRAVERAND, GenPhySE, Université de Toulouse, INRAE, Castanet Tolosan, France; K. MCDERMOTT, SheepIreland Highfield House, Shinagh, Bandon, Co. Cork, Ireland P72 X050; G. STEINHEIM, Norwegian University of Life Sciences, Universitetstunet 3, 1433 Ås, Norway; B. ASPEHOLEN ABY, Norwegian University of Life Sciences, Universitetstunet 3, 1433 Ås, Norway; I. DØNNEM, Norwegian University of Life Sciences, Universitetstunet 3, 1433 Ås, Norway; N. MCHUGH, Teagasc, Animal and Grassland Research and Innovation Centre, Athenry, H65 R718, Co. Galway, Ireland; L. FARRELL, Teagasc, Animal and Grassland Research and Innovation Centre, Athenry, H65 R718, Co. Galway, Ireland; C. MARIE-ETANCELIN, GenPhySE, Université de Toulouse, INRAE, Castanet Tolosan, France; P. JOHNSON, AgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel 9053 New Zealand; S. ROWE, AgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel 9053 New Zealand. |
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Título : |
Strategies to mitigate greenhouse gas emissions from pasture-based sheep systems - an EU project consortium view. [15] |
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Complemento del título : |
Part 4 - Society - genetic solutions to achieve net zero carbon emission in livestock systems. |
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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_15 |
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Páginas : |
107-110. |
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DOI : |
10.3920/978-90-8686-940-4_15 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published online: February 9, 2023 -- Correspondence author: J. Conington, email: joanne.conington@sruc.ac.uk -- Acknowledgements: Each country receives funding from their national sponsoring organisation, under the banner of the Joint 2018 call of the three ERA-NETs (SusAn, FACCE ERA-GAS and ICTAGRI 2). |
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Contenido : |
ABSTRACT. - An international project ('Grass To Gas', 2019-2024) to combine expertise and generate new knowledge for the reduction of the potent methane (CH4) greenhouse gas (GHG) from sheep is underway. Aims are to validate predictors of feed intake, methane emissions and feed efficiency, to investigate the association between feed efficiency and methane emissions measured indoors and outdoors, to explore the opportunity of using genetics and genomics (animal and microbiome) to reduce methane emissions in pasture-based sheep systems and quantify the economic and environmental benefits of more feed-efficient and lower GHG-emitting sheep linked to their microbiome. The potential impact is to deliver applied, sustainable solutions to reduce methane emissions for the international sheep breeding community, by bringing together the latest precision livestock monitoring and molecular technology to identify novel selection targets and potentially candidate genes. |
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Palabras claves : |
GREENHOUSE GAS EMISSIONS; LIVESTOCK BREEDING; Sheep. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16992/1/978-90-8686-940-4-15.pdf
https://www.wageningenacademic.com/doi/epdf/10.3920/978-90-8686-940-4_15
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Marc : |
LEADER 02575nam a2200409 a 4500
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008 2022 bl uuuu u01u1 u #d
024 7 $a10.3920/978-90-8686-940-4_15$2DOI
100 1 $aCONINGTON, J.
245 $aStrategies to mitigate greenhouse gas emissions from pasture-based sheep systems - an EU project consortium view. [15]$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_15$c8686
300 $a107-110.
500 $aArticle history: Published online: February 9, 2023 -- Correspondence author: J. Conington, email: joanne.conington@sruc.ac.uk -- Acknowledgements: Each country receives funding from their national sponsoring organisation, under the banner of the Joint 2018 call of the three ERA-NETs (SusAn, FACCE ERA-GAS and ICTAGRI 2).
520 $aABSTRACT. - An international project ('Grass To Gas', 2019-2024) to combine expertise and generate new knowledge for the reduction of the potent methane (CH4) greenhouse gas (GHG) from sheep is underway. Aims are to validate predictors of feed intake, methane emissions and feed efficiency, to investigate the association between feed efficiency and methane emissions measured indoors and outdoors, to explore the opportunity of using genetics and genomics (animal and microbiome) to reduce methane emissions in pasture-based sheep systems and quantify the economic and environmental benefits of more feed-efficient and lower GHG-emitting sheep linked to their microbiome. The potential impact is to deliver applied, sustainable solutions to reduce methane emissions for the international sheep breeding community, by bringing together the latest precision livestock monitoring and molecular technology to identify novel selection targets and potentially candidate genes.
653 $aGREENHOUSE GAS EMISSIONS
653 $aLIVESTOCK BREEDING
653 $aSheep
700 1 $aLAMBE, N.
700 1 $aTORTEREAU, F.
700 1 $aMCGOVERN, F.
700 1 $aNAVAJAS, E.
700 1 $aDE BARBIERI, I.
700 1 $aCIAPPESONI, G.
700 1 $aJAKOBSEN, J.
700 1 $aSMITH, E .
700 1 $aYATES, J.
700 1 $aLE GRAVERAND, Q.
700 1 $aMCDERMOTT, K.
700 1 $aSTEINHEIM, G.
700 1 $aASPEHOLEN, B.
700 1 $aDØNNEM, I.
700 1 $aMCHUGH, N.
700 1 $aFARRELL, L.
700 1 $aMARIE-ETANCELIN, C.
700 1 $aJOHNSON, P.
700 1 $aROWE, S.
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
09/09/2014 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
CALINGACION, M.; LABORTE, A.; NELSON, A.; RESURRECCION, A.; CONCEPCION, J.C.; DAYGON, D.V.; MUMM, R.; REINKE, R.; DIPTI, S.; BASSINELLO, P.Z.; MANFUL, J.; SOPHANY, S.; LARA, K.C.; BAO, J.; XIE, L.; LOAIZA, K.; EL-HISSEWY, A.; GAYIN, J.; SHARMA, N.; RAJESWARI, S.; MANONMANI, S.; RANI, N.S.; KOTA, S.; INDRASARI, S.D.; HABIBI, F.; HOSSEINI, M.; TAVASOLI, F.; SUZUKI, K.; UMEMOTO, T.; BOUALAPHANH, C.; LEE, H.H.; HUNG, Y.P.; RAMLI, A.; AUNG, P.P.; AHMAD, R.; WATTOO, J.I.; BANDONILL, E.; ROMERO, M.; BRITES, C.M.; HAFEEL, R.; LUR, H.S.; CHEAUPUN, K.; JONGDEE, S.; BLANCO, P.; BRYANT, R.; LANG, N.T.; HALL, R.D.; FITZGERALD, M. |
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Afiliación : |
PEDRO HORACIO BLANCO BARRAL, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Diversity of global rice markets and the science required for consumer-targeted rice breeding. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Plos One, 2014, v. 9, no. 1; e85106 |
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DOI : |
10.1371/journal.pone.0085106 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received July 8, 2013; accepted November 22, 2013; published January 14, 2014. |
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Contenido : |
Abstract
With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement
strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity
of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future.
Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market. MenosAbstract
With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement
strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity
of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future.
Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to comb... Presentar Todo |
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Palabras claves : |
GENETIC BREEDING; MOLECULAR MARKERS; QUALITY; RICE. |
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Thesagro : |
ARROZ; FITOMEJORAMIENTO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 03720naa a2200781 a 4500
001 1050074
005 2019-10-11
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pone.0085106$2DOI
100 1 $aCALINGACION, M.
245 $aDiversity of global rice markets and the science required for consumer-targeted rice breeding.$h[electronic resource]
260 $c2014
500 $aArticle history: Received July 8, 2013; accepted November 22, 2013; published January 14, 2014.
520 $aAbstract With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future. Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market.
650 $aARROZ
650 $aFITOMEJORAMIENTO
653 $aGENETIC BREEDING
653 $aMOLECULAR MARKERS
653 $aQUALITY
653 $aRICE
700 1 $aLABORTE, A.
700 1 $aNELSON, A.
700 1 $aRESURRECCION, A.
700 1 $aCONCEPCION, J.C.
700 1 $aDAYGON, D.V.
700 1 $aMUMM, R.
700 1 $aREINKE, R.
700 1 $aDIPTI, S.
700 1 $aBASSINELLO, P.Z.
700 1 $aMANFUL, J.
700 1 $aSOPHANY, S.
700 1 $aLARA, K.C.
700 1 $aBAO, J.
700 1 $aXIE, L.
700 1 $aLOAIZA, K.
700 1 $aEL-HISSEWY, A.
700 1 $aGAYIN, J.
700 1 $aSHARMA, N.
700 1 $aRAJESWARI, S.
700 1 $aMANONMANI, S.
700 1 $aRANI, N.S.
700 1 $aKOTA, S.
700 1 $aINDRASARI, S.D.
700 1 $aHABIBI, F.
700 1 $aHOSSEINI, M.
700 1 $aTAVASOLI, F.
700 1 $aSUZUKI, K.
700 1 $aUMEMOTO, T.
700 1 $aBOUALAPHANH, C.
700 1 $aLEE, H.H.
700 1 $aHUNG, Y.P.
700 1 $aRAMLI, A.
700 1 $aAUNG, P.P.
700 1 $aAHMAD, R.
700 1 $aWATTOO, J.I.
700 1 $aBANDONILL, E.
700 1 $aROMERO, M.
700 1 $aBRITES, C.M.
700 1 $aHAFEEL, R.
700 1 $aLUR, H.S.
700 1 $aCHEAUPUN, K.
700 1 $aJONGDEE, S.
700 1 $aBLANCO, P.
700 1 $aBRYANT, R.
700 1 $aLANG, N.T.
700 1 $aHALL, R.D.
700 1 $aFITZGERALD, M.
773 $tPlos One, 2014$gv. 9, no. 1; e85106
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