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| 143. |  | BARRIOS, E.; BUFFA, I.; AYALA, W.; CIAPPESONI, G.; SOTELO, D.; LLOVET, P.; FONSECA, J.; LAPETINA, J. Módulo intensivo de producción ovina: conjugando investigación con enfoque de sistemas y transferencia de tecnología. Unidad Experimental Palo a Pique. Informe especial. Revista INIA Uruguay, 2019, no.57, p.41-54.| Biblioteca(s): INIA Treinta y Tres. |
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| 144. | | BARRIOS, E.; BUFFA, I.; CIAPPESONI, G.; SOTELO, D.; LLOVET, P.; FONSECA, J.; LAPETINA, J.; AYALA, W. Módulo intensivo de producción ovina: conjugando investigación con enfoque de sistemas y transferencia tecnológica. En: DÍA DE CAMPO, 2019, UNIDAD EXPERIMENTAL PALO A PIQUE (UEPP), TREINTA Y TRES, UY. p. 21-26.| Biblioteca(s): INIA Treinta y Tres. |
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| 157. | | Bellaver, C. As peles Sobral (Brasil): CNPCOT, 1980. 15p. Circular Técnica (CNPCOT)| Biblioteca(s): INIA La Estanzuela. |
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| 159. | | Benoit, G.; Darré, L.; Villagrán, M.; Heinzen, M.; Bianchi, G.; Orcasberro, R. Efecto de la nutrición preparto sobre la performance de ovejas Corriedale en campo natural ln: Seminario Nacional de Campo Natural, 2 : 1990 nov 15-16 : Tacuarembó Montevideo (Uruguay): Hemisferio Sur, 1990. p341-345 Participaron en el seminario : INIA, Sociedad Uruguaya de Pasturas Naturales, Facultad de Agronomía, Plan Agropecuario| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
10/02/2021 |
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Actualizado : |
11/02/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
BRITO, L.F; BERRY, D.; LARROQUE, H.; SCHENKEI, F.S.; CIAPPESONI, G.; O’BRIEN, A.; TORTEREAU, F.; UGARTE, E.; PALHIERE, I.; BAPST, B.; JAKOBSEN, J.; ANTONAKOS, G.; KOMINAKIS, A.; CLEMENT, V.; BRUNI, G.; LOYWYCK, V.; MASSENDER, E.; OLIVEIRA, H.R.; POSTA, J.; ASTRUC, J.M. |
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Afiliación : |
L.F. BRITO, University of Guelph, Guelph, Canada; D. BERRY; H. LARROQUE, INRAE, Toulouse, France; F.S. SCHENKEL, University of Guelph, Guelph, Canada; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. O’BRIEN, TEAGASC, Fermoy, Ireland; F. TORTEREAU, INRAE, Toulouse, France; E. UGARTE, 5NEIKER, Vizcaya, Spain; I. PALHIERE, INRAE, Toulouse, France; B. BAPST, Qualitas AG, Zug, Switzerland; J. JAKOBSEN, NSG, Norway; G. ANTONAKOS, Frizarta, Agrinio, Greece; A. KOMINAKIS, Frizarta, Agrinio, Greece; V. CLEMENT, IDELE, Toulouse, France; G. BRUNI, ARAL, Crema, Italy; V. LOYWYCK, IDELE, Toulouse, France,; E. MASSENDER, University of Guelph, Guelph, Canada; H.R. OLIVEIRA, University of Guelph, Guelph, Canada; J. POSTA, ARAL, Crema, Italy; J.M. ASTRUC, IDELE, Toulouse, France. |
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Título : |
Genetic evaluation systems and breeding programs in sheep and goats: an international perspective. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Annual Meeting of the European Federation of Animal Science, 17., No. 26, 2020. Virtual Meeting 1-4 December, 2020. DOI: DOI: 10.3920/978-90-8686-900-8. |
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Páginas : |
p. 560 |
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DOI : |
10.3920/978-90-8686-900-8. |
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Idioma : |
Español |
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Contenido : |
Genetic selection has been a key tool for improving productive performance in small ruminant populations around the world, especially in Europe. This has been achieved through selective breeding for numerous traits, using diverse genetic evaluation systems and breeding schemes. Knowledge of the alternative approaches taken is paramount to the design of efficient and integrated genomic breeding programs. In this study, we summarised information on 48 sheep and goat breeding programs, genetic and genomic evaluation systems and resources available in 12 countries involved in the SMARTER project. This was done using published reports and surveys distributed to all partners. Responses to the surveys reveals information for more than 9, 16, and 20 dairy goat, dairy sheep, and meat sheep breeds involved in genetic schemes, respectively, with ~3,083,562 animals included in data collection schemes. The main groups of traits recorded across countries are: (1) milk yield and composition, mastitis indicators, udder and
body conformation, and reproduction in dairy sheep and dairy goats; and (2) growth, reproduction, health, ultrasound, wool, and carcass in meat sheep. Seven countries have progeny testing schemes, but only 5 use artificial insemination. There are numerous challenges to be addressed (e.g. disparity of trait recording, SNP panels, statistical models used, joining pedigrees across countries as well as grouping breeds based on genetic similarity, and an average of ~30% of animals with unknown sires). However, there are many opportunities to use the current resources and develop collaborative approaches to optimise selection for novel breeding goals such as resilience and efficiency in small ruminants across countries. MenosGenetic selection has been a key tool for improving productive performance in small ruminant populations around the world, especially in Europe. This has been achieved through selective breeding for numerous traits, using diverse genetic evaluation systems and breeding schemes. Knowledge of the alternative approaches taken is paramount to the design of efficient and integrated genomic breeding programs. In this study, we summarised information on 48 sheep and goat breeding programs, genetic and genomic evaluation systems and resources available in 12 countries involved in the SMARTER project. This was done using published reports and surveys distributed to all partners. Responses to the surveys reveals information for more than 9, 16, and 20 dairy goat, dairy sheep, and meat sheep breeds involved in genetic schemes, respectively, with ~3,083,562 animals included in data collection schemes. The main groups of traits recorded across countries are: (1) milk yield and composition, mastitis indicators, udder and
body conformation, and reproduction in dairy sheep and dairy goats; and (2) growth, reproduction, health, ultrasound, wool, and carcass in meat sheep. Seven countries have progeny testing schemes, but only 5 use artificial insemination. There are numerous challenges to be addressed (e.g. disparity of trait recording, SNP panels, statistical models used, joining pedigrees across countries as well as grouping breeds based on genetic similarity, and an average of ~30% of ani... Presentar Todo |
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Palabras claves : |
OVINOS; SHEEP. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15000/1/Brito-et-al-EAAP2020.pdf
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Marc : |
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024 7 $a10.3920/978-90-8686-900-8.$2DOI
100 1 $aBRITO, L.F
245 $aGenetic evaluation systems and breeding programs in sheep and goats$ban international perspective.$h[electronic resource]
260 $aAnnual Meeting of the European Federation of Animal Science, 17., No. 26, 2020. Virtual Meeting 1-4 December, 2020. DOI: DOI: 10.3920/978-90-8686-900-8.$c8686
300 $ap. 560
520 $aGenetic selection has been a key tool for improving productive performance in small ruminant populations around the world, especially in Europe. This has been achieved through selective breeding for numerous traits, using diverse genetic evaluation systems and breeding schemes. Knowledge of the alternative approaches taken is paramount to the design of efficient and integrated genomic breeding programs. In this study, we summarised information on 48 sheep and goat breeding programs, genetic and genomic evaluation systems and resources available in 12 countries involved in the SMARTER project. This was done using published reports and surveys distributed to all partners. Responses to the surveys reveals information for more than 9, 16, and 20 dairy goat, dairy sheep, and meat sheep breeds involved in genetic schemes, respectively, with ~3,083,562 animals included in data collection schemes. The main groups of traits recorded across countries are: (1) milk yield and composition, mastitis indicators, udder and body conformation, and reproduction in dairy sheep and dairy goats; and (2) growth, reproduction, health, ultrasound, wool, and carcass in meat sheep. Seven countries have progeny testing schemes, but only 5 use artificial insemination. There are numerous challenges to be addressed (e.g. disparity of trait recording, SNP panels, statistical models used, joining pedigrees across countries as well as grouping breeds based on genetic similarity, and an average of ~30% of animals with unknown sires). However, there are many opportunities to use the current resources and develop collaborative approaches to optimise selection for novel breeding goals such as resilience and efficiency in small ruminants across countries.
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653 $aSHEEP
700 1 $aBERRY, D.
700 1 $aLARROQUE, H.
700 1 $aSCHENKEI, F.S.
700 1 $aCIAPPESONI, G.
700 1 $aO’BRIEN, A.
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700 1 $aUGARTE, E.
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700 1 $aMASSENDER, E.
700 1 $aOLIVEIRA, H.R.
700 1 $aPOSTA, J.
700 1 $aASTRUC, J.M.
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