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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
01/02/2017 |
Actualizado : |
06/02/2017 |
Tipo de producción científica : |
Poster |
Autor : |
IEWDIUKOW, M.; LEMA, O.M.; VELAZCO, J.I.; QUINTANS, G. |
Afiliación : |
OSCAR MARIO LEMA QUEIJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Ten years-data of milk production in beeb cattle under South American grazing conditions. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
In: Book of abstracts. ANNUAL MEETING OF THE EUROPEAN FEDERATION OF ANIMAL SCIENCE, 67a. ,2016. Belfast, UK: EEAP, 2016. |
Páginas : |
p. 616. |
Idioma : |
Inglés |
Thesagro : |
BOVINOS DE CARNE; PASTOREO; PRODUCCION LECHERA; URUGUAY. |
Asunto categoría : |
L02 Alimentación animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6455/1/Resumenes-Annual-Meeting-EAAP-2016.pdf
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Marc : |
LEADER 00644nam a2200193 a 4500 001 1056617 005 2017-02-06 008 2016 bl uuuu u00u1 u #d 100 1 $aIEWDIUKOW, M. 245 $aTen years-data of milk production in beeb cattle under South American grazing conditions.$h[electronic resource] 260 $aIn: Book of abstracts. ANNUAL MEETING OF THE EUROPEAN FEDERATION OF ANIMAL SCIENCE, 67a. ,2016. Belfast, UK: EEAP$c2016 300 $ap. 616. 650 $aBOVINOS DE CARNE 650 $aPASTOREO 650 $aPRODUCCION LECHERA 650 $aURUGUAY 700 1 $aLEMA, O.M. 700 1 $aVELAZCO, J.I. 700 1 $aQUINTANS, G.
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
27/07/2022 |
Actualizado : |
27/02/2023 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
MISZTAL, I.; LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; CESARANI, A.; LEGARRA, A. |
Afiliación : |
I. MISZTAL, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; D. LOURENCO, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; S. TSURUTA, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Y. MASUDA, Rakuno Gakuen University, 069-8501, Ebetsu, Hokkaido, Japan; M. BERMANN, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; A. CESARANI, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; A. LEGARRA, Institut national de recherche pour l'agriculture, l'alimentation et l'environnement, UMR1388 GenPhySE, 31326, Castanet Tolosan, France. |
Título : |
How ssGBLUP became suitable for national dairy cattle evaluations. [668]. |
Complemento del título : |
Part 37 - Bovine dairy - genetic evaluation methods. |
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_668 |
Páginas : |
2757-2760. |
DOI : |
10.3920/978-90-8686-940-4_668 |
Idioma : |
Inglés |
Notas : |
Article history: Published online: February 9, 2023 -- Corresponding author: I. Misztal, email: ignacy@uga.edu |
Contenido : |
ABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations. |
Palabras claves : |
BLUP (BEST LINEAR UNBIASED PREDICTION); GENOTYPES. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17001/1/978-90-8686-940-4-668.pdf
https://www.wageningenacademic.com/doi/epdf/10.3920/978-90-8686-940-4_668
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Marc : |
LEADER 01567nam a2200253 a 4500 001 1063466 005 2023-02-27 008 2022 bl uuuu u01u1 u #d 024 7 $a10.3920/978-90-8686-940-4_668$2DOI 100 1 $aMISZTAL, I. 245 $aHow ssGBLUP became suitable for national dairy cattle evaluations. [668].$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_668$c8686 300 $a2757-2760. 500 $aArticle history: Published online: February 9, 2023 -- Corresponding author: I. Misztal, email: ignacy@uga.edu 520 $aABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations. 653 $aBLUP (BEST LINEAR UNBIASED PREDICTION) 653 $aGENOTYPES 700 1 $aLOURENCO, D. 700 1 $aTSURUTA, S. 700 1 $aAGUILAR, I. 700 1 $aMASUDA, Y. 700 1 $aBERMANN, M. 700 1 $aCESARANI, A. 700 1 $aLEGARRA, A.
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