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| Registros recuperados : 14 | |
| 12. |  | CABRERA, M.C.; OLIVERO, R.; DEL PUERTO, M.; SAADOUN, A.; NAYA, D.; ZUNINI, P.; GUERRA, H. Características digestivas de la nutria en la etapa de engorde y su importancia en la regulación de la ingesta de alimento, utilización de la proteína, fibra y energía alimentaria Las Brujas, Canelones (Uruguay): INIA, 2002. p. 1-3 (INIA Serie Actividades de Difusión ; 290)| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 14 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
18/12/2018 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
LOURENÇO, D. A. L.; MISZTAL, I.; TSURUTA, S.; FRAGOMENI, B.; AGUILAR, I.; MASUDA, Y.; MOSER, D. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Direct and indirect genomic evaluations in beef cattle. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p.80 - 84. |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT.
We tested two modifications into single-step genomic BLUP (ssGBLUP) that allow it to work with a large amount of genotyped animals. The first method is based on genomic recursions (APY) to construct the inverse of the genomic relationship matrix without directly inverting it; all available genotyped animals are included in ssGBLUP with APY, but they are split into base and non-base, and the method returns direct predictions. The second method is an interim genomic evaluation (IP) for young genotyped animals; only a reference set of animals are used in ssGBLUP with IP, and the method returns indirect predictions for young genotyped animals. A dataset from American Angus with records for growth traits was used. Over 8 million animals were in the pedigree, of which 51,883 were genotyped. The ssGBLUP with APY was as accurate as regular ssGBLUP when the number of genotyped base animals was at least 10,000; this method was also faster and required less memory. The ssGBLUP with IP mimicking the previous official evaluation returned the same accuracy of GEBV for young animals as the regular ssGBLUP. While the first method enables complete genomic evaluations for huge genotyped populations, the second allows for quick genomic predictions on young animals without including their information into a new run of evaluation. |
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Palabras claves : |
BIG GENOTYPED POPULATION; GENOMIC RECURSIONS; INTERIM GEBV; SINGLE-STEP GENOMIC BLUP. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12202/1/1381-2377-1-PB.pdf
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Marc : |
LEADER 02005naa a2200241 a 4500
001 1012456
005 2018-12-18
008 2015 bl uuuu u00u1 u #d
100 1 $aLOURENÇO, D. A. L.
245 $aDirect and indirect genomic evaluations in beef cattle.$h[electronic resource]
260 $c2015
520 $aABSTRACT. We tested two modifications into single-step genomic BLUP (ssGBLUP) that allow it to work with a large amount of genotyped animals. The first method is based on genomic recursions (APY) to construct the inverse of the genomic relationship matrix without directly inverting it; all available genotyped animals are included in ssGBLUP with APY, but they are split into base and non-base, and the method returns direct predictions. The second method is an interim genomic evaluation (IP) for young genotyped animals; only a reference set of animals are used in ssGBLUP with IP, and the method returns indirect predictions for young genotyped animals. A dataset from American Angus with records for growth traits was used. Over 8 million animals were in the pedigree, of which 51,883 were genotyped. The ssGBLUP with APY was as accurate as regular ssGBLUP when the number of genotyped base animals was at least 10,000; this method was also faster and required less memory. The ssGBLUP with IP mimicking the previous official evaluation returned the same accuracy of GEBV for young animals as the regular ssGBLUP. While the first method enables complete genomic evaluations for huge genotyped populations, the second allows for quick genomic predictions on young animals without including their information into a new run of evaluation.
653 $aBIG GENOTYPED POPULATION
653 $aGENOMIC RECURSIONS
653 $aINTERIM GEBV
653 $aSINGLE-STEP GENOMIC BLUP
700 1 $aMISZTAL, I.
700 1 $aTSURUTA, S.
700 1 $aFRAGOMENI, B.
700 1 $aAGUILAR, I.
700 1 $aMASUDA, Y.
700 1 $aMOSER, D.
773 $tInterbull Bulletin, 2015$gv. 49, p.80 - 84.
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INIA Las Brujas (LB) |
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