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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/02/2014 |
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Actualizado : |
02/08/2021 |
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Tipo de producción científica : |
Documentos |
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Autor : |
RÍOS, A.; GIMÉNEZ, A. |
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Afiliación : |
AMALIA RIOS GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Jornada Control de Margarita de Piria. |
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Fecha de publicación : |
1992 |
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Fuente / Imprenta : |
La Estanzuela, Colonia (Uruguay): INIA, 1992. |
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Páginas : |
13 p. |
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Idioma : |
Español |
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Thesagro : |
DOSIS DE APLICACION; ESCARDA; EVALUACION; HERBICIDAS; LUCHA INTEGRADA. |
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Asunto categoría : |
H60 Malezas y escardas |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15912/1/INIA.1992.Jornada-control-margarita-de-piria.pdf
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Marc : |
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100 1 $aRÍOS, A.
245 $aJornada Control de Margarita de Piria.
260 $aLa Estanzuela, Colonia (Uruguay): INIA$c1992
300 $a13 p.
650 $aDOSIS DE APLICACION
650 $aESCARDA
650 $aEVALUACION
650 $aHERBICIDAS
650 $aLUCHA INTEGRADA
700 1 $aGIMÉNEZ, A.
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Registro original : |
INIA La Estanzuela (LE) |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
10/09/2014 |
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Actualizado : |
11/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
LEGARRA, A.; CHRISTENSEN, O.F.; AGUILAR, I.; MISZTAL, I. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Single Step, a general approach for genomic selection. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Livestock Science, 2014, v.166, no.1, p.54-65. |
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ISSN : |
1871-1413 |
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DOI : |
10.1016/j.livsci.2014.04.029 |
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Idioma : |
Inglés |
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Notas : |
Article history: Available online 2 May 2014. |
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Contenido : |
ABSTRACT.
Genomic evaluation methods assume that the reference population is genotyped and phenotyped. This is most often false and the generation of pseudo-phenotypes is uncertain and inaccurate. However, markers obey transmission rules and therefore the covariances of marker genotypes across individuals can be modelled using pedigree relationships. Based on this, an extension of the genomic relationship matrix can be constructed in which genomic relationships are propagated to all individuals, resulting in a combined relationship matrix, which can be used in a BLUP procedure called the Single Step Genomic BLUP. This procedure provides so far the most comprehensive option for genomic evaluation. Several extensions, options and details are described: compatibility of genomic and pedigree relationships, Bayesian regressions, multiple trait models, computational aspects, etc. Many details scattered through a series of papers are put together into this paper.
© 2014 Elsevier B.V. |
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Palabras claves : |
BLUP; GENETIC EVALUATION; GENOMIC EVALUATION; MARKER GENOTYPES; RELATIONSHIP. |
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Thesagro : |
BLUP; EVALUACIÓN GENÉTICA; GENOTIPOS; MARCADORES GENÉTICOS. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
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008 2014 bl uuuu u00u1 u #d
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100 1 $aLEGARRA, A.
245 $aSingle Step, a general approach for genomic selection.$h[electronic resource]
260 $c2014
500 $aArticle history: Available online 2 May 2014.
520 $aABSTRACT. Genomic evaluation methods assume that the reference population is genotyped and phenotyped. This is most often false and the generation of pseudo-phenotypes is uncertain and inaccurate. However, markers obey transmission rules and therefore the covariances of marker genotypes across individuals can be modelled using pedigree relationships. Based on this, an extension of the genomic relationship matrix can be constructed in which genomic relationships are propagated to all individuals, resulting in a combined relationship matrix, which can be used in a BLUP procedure called the Single Step Genomic BLUP. This procedure provides so far the most comprehensive option for genomic evaluation. Several extensions, options and details are described: compatibility of genomic and pedigree relationships, Bayesian regressions, multiple trait models, computational aspects, etc. Many details scattered through a series of papers are put together into this paper. © 2014 Elsevier B.V.
650 $aBLUP
650 $aEVALUACIÓN GENÉTICA
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650 $aMARCADORES GENÉTICOS
653 $aBLUP
653 $aGENETIC EVALUATION
653 $aGENOMIC EVALUATION
653 $aMARKER GENOTYPES
653 $aRELATIONSHIP
700 1 $aCHRISTENSEN, O.F.
700 1 $aAGUILAR, I.
700 1 $aMISZTAL, I.
773 $tLivestock Science, 2014$gv.166, no.1, p.54-65.
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INIA Las Brujas (LB) |
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