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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
29/09/2021 |
Actualizado : |
29/09/2021 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
ARU (ASOCIACIÓN RURAL DEL URUGUAY). |
Título : |
Programa Nacional de Producción Forestal - INIA. [Entrevista Roberto Scoz]. |
Complemento del título : |
Hay muchísimo en nuestro sector para descubrir y seguramente asombrarse. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Revista Forestación. (Revista de la Asociación Rural del Uruguay), 2021, v.149, no. 230, p. 32-34. |
Idioma : |
Español |
Contenido : |
Información actual sobre las investigaciones que está realizando el Programa Nacional de Producción Forestal. |
Palabras claves : |
FOREST. |
Thesagro : |
FORESTACIÓN; INVESTIGACIÓN AGRARIA. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15988/1/Revista-forestacion-entrevista-Scoz-2021.pdf
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Marc : |
LEADER 00649naa a2200157 a 4500 001 1062411 005 2021-09-29 008 2021 bl uuuu u00u1 u #d 100 1 $aARU (ASOCIACIÓN RURAL DEL URUGUAY). 245 $aPrograma Nacional de Producción Forestal - INIA. [Entrevista Roberto Scoz].$h[electronic resource] 260 $c2021 520 $aInformación actual sobre las investigaciones que está realizando el Programa Nacional de Producción Forestal. 650 $aFORESTACIÓN 650 $aINVESTIGACIÓN AGRARIA 653 $aFOREST 773 $tRevista Forestación. (Revista de la Asociación Rural del Uruguay), 2021$gv.149, no. 230, p. 32-34.
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INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
21/02/2014 |
Actualizado : |
18/12/2018 |
Tipo de producción científica : |
Artículos Indexados |
Autor : |
LOURENÇO, D. A. L.; MISZTAL, I.; TSURUTA, S.; FRAGOMENI, B.; AGUILAR, I.; MASUDA, Y.; MOSER, D. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Direct and indirect genomic evaluations in beef cattle. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p.80 - 84. |
Idioma : |
Inglés |
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. |
Palabras claves : |
BIG GENOTYPED POPULATION; GENOMIC RECURSIONS; INTERIM GEBV; SINGLE-STEP GENOMIC BLUP. |
Asunto categoría : |
-- |
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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