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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
23/01/2015 |
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Actualizado : |
22/08/2022 |
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Tipo de producción científica : |
Presentaciones Orales |
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Autor : |
RIOS, A. |
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Afiliación : |
AMALIA RIOS GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
[Malezas resistentes]: Uruguay. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Revista Verde, 2014, v. 7, n. 40, p. 44, 2014. |
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Idioma : |
Español |
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Notas : |
[Presentación de] Percutor, 2014, s.l., Uruguay. El nuevo herbicida de Bayer. |
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Palabras claves : |
AMARANTHUS PALMIERI RESISTENTE A HERBICIDAS; MALEZAS RESISTENTES; MALEZAS TOLERANTES; MOMENTO DE APLICACIÓN DE HERBICIDAS; RAIGRÁS RESISTENTE A HERBICIDAS. |
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Thesagro : |
CONTROL DE MALEZAS; CONTROL QUÍMICO; URUGUAY. |
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Asunto categoría : |
H60 Malezas y escardas |
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Marc : |
LEADER 00699naa a2200217 a 4500
001 1052080
005 2022-08-22
008 2014 bl uuuu u00u1 u #d
100 1 $aRIOS, A.
245 $a[Malezas resistentes]$bUruguay.
260 $c2014
500 $a[Presentación de] Percutor, 2014, s.l., Uruguay. El nuevo herbicida de Bayer.
650 $aCONTROL DE MALEZAS
650 $aCONTROL QUÍMICO
650 $aURUGUAY
653 $aAMARANTHUS PALMIERI RESISTENTE A HERBICIDAS
653 $aMALEZAS RESISTENTES
653 $aMALEZAS TOLERANTES
653 $aMOMENTO DE APLICACIÓN DE HERBICIDAS
653 $aRAIGRÁS RESISTENTE A HERBICIDAS
773 $tRevista Verde, 2014$gv. 7, n. 40, p. 44, 2014.
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Registro original : |
INIA La Estanzuela (LE) |
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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 : |
MASUDA, Y.; MISZTAL, I.; TSURUTA, S.; LOURENÇO, D. A. L.; FRAGOMENI, B.; LEGARRA, A.; AGUILAR, I.; LAWLOR, T. J. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Single-step genomic evaluations with 570K genotyped animals in US Holsteins. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p. 85-89. |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT.
The objectives of this study were to implement and evaluate the ?Algorithm for proven and Young? (APY) for inversion of the genomic relationship matrix (G) in single-step genomic BLUP (ssGBLUP). Phenotypic data included 11,626,576 final scores on 7,093,380 US Holsteins and genotypes were available for 569,404 animals. Daughter deviations for young genotyped bulls with no classified daughters in 2009 but with at least 30 classified daughters in 2014 were computed using BLUP with all the phenotypes and pedigrees. Genomic predictions (GEBV) were obtained by ssGBLUP using phenotypes up to 2009. We calculated the G inverse with APY based on genomic recursions on a subset of ?base? animals. We tested several subsets including 9,406 bulls with at least 1 daughter, 9,046 bulls and 1052 dams, 9,046 bulls and 7,422 classified cows, and random samples of 5,000, 10,000, 15,000, 20,000, and 30,000 animals. Validation reliability was calculated as R2 with a linear regression of daughter deviations on GEBV for young genotyped bulls. The reliabilities were 0.39 with 5,000 randomly chosen base-animals, 0.45 with base-animals including bulls and cows, and 0.44 with the remaining subsets. Setting up the G inverse for all the genotypes with 10,000 base-animals took 1.3 hours and 57GB of memory. Genomic predictions with G inverse are accurate when the number of base animals is at least 10,000. Single-step genomic BLUP using the G inverse via APY is applicable to populations with a large number of genotyped animals. MenosABSTRACT.
The objectives of this study were to implement and evaluate the ?Algorithm for proven and Young? (APY) for inversion of the genomic relationship matrix (G) in single-step genomic BLUP (ssGBLUP). Phenotypic data included 11,626,576 final scores on 7,093,380 US Holsteins and genotypes were available for 569,404 animals. Daughter deviations for young genotyped bulls with no classified daughters in 2009 but with at least 30 classified daughters in 2014 were computed using BLUP with all the phenotypes and pedigrees. Genomic predictions (GEBV) were obtained by ssGBLUP using phenotypes up to 2009. We calculated the G inverse with APY based on genomic recursions on a subset of ?base? animals. We tested several subsets including 9,406 bulls with at least 1 daughter, 9,046 bulls and 1052 dams, 9,046 bulls and 7,422 classified cows, and random samples of 5,000, 10,000, 15,000, 20,000, and 30,000 animals. Validation reliability was calculated as R2 with a linear regression of daughter deviations on GEBV for young genotyped bulls. The reliabilities were 0.39 with 5,000 randomly chosen base-animals, 0.45 with base-animals including bulls and cows, and 0.44 with the remaining subsets. Setting up the G inverse for all the genotypes with 10,000 base-animals took 1.3 hours and 57GB of memory. Genomic predictions with G inverse are accurate when the number of base animals is at least 10,000. Single-step genomic BLUP using the G inverse via APY is applicable to populations with a lar... Presentar Todo |
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Palabras claves : |
APY; SSGBLUP; VALIDATION. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12203/1/1382-2378-1-PB.pdf
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Marc : |
LEADER 02171naa a2200241 a 4500
001 1012457
005 2018-12-18
008 2015 bl uuuu u00u1 u #d
100 1 $aMASUDA, Y.
245 $aSingle-step genomic evaluations with 570K genotyped animals in US Holsteins.$h[electronic resource]
260 $c2015
520 $aABSTRACT. The objectives of this study were to implement and evaluate the ?Algorithm for proven and Young? (APY) for inversion of the genomic relationship matrix (G) in single-step genomic BLUP (ssGBLUP). Phenotypic data included 11,626,576 final scores on 7,093,380 US Holsteins and genotypes were available for 569,404 animals. Daughter deviations for young genotyped bulls with no classified daughters in 2009 but with at least 30 classified daughters in 2014 were computed using BLUP with all the phenotypes and pedigrees. Genomic predictions (GEBV) were obtained by ssGBLUP using phenotypes up to 2009. We calculated the G inverse with APY based on genomic recursions on a subset of ?base? animals. We tested several subsets including 9,406 bulls with at least 1 daughter, 9,046 bulls and 1052 dams, 9,046 bulls and 7,422 classified cows, and random samples of 5,000, 10,000, 15,000, 20,000, and 30,000 animals. Validation reliability was calculated as R2 with a linear regression of daughter deviations on GEBV for young genotyped bulls. The reliabilities were 0.39 with 5,000 randomly chosen base-animals, 0.45 with base-animals including bulls and cows, and 0.44 with the remaining subsets. Setting up the G inverse for all the genotypes with 10,000 base-animals took 1.3 hours and 57GB of memory. Genomic predictions with G inverse are accurate when the number of base animals is at least 10,000. Single-step genomic BLUP using the G inverse via APY is applicable to populations with a large number of genotyped animals.
653 $aAPY
653 $aSSGBLUP
653 $aVALIDATION
700 1 $aMISZTAL, I.
700 1 $aTSURUTA, S.
700 1 $aLOURENÇO, D. A. L.
700 1 $aFRAGOMENI, B.
700 1 $aLEGARRA, A.
700 1 $aAGUILAR, I.
700 1 $aLAWLOR, T. J.
773 $tInterbull Bulletin, 2015$gv. 49, p. 85-89.
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INIA Las Brujas (LB) |
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