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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
03/03/2017 |
Actualizado : |
06/03/2017 |
Tipo de producción científica : |
Poster |
Autor : |
GERMAN, S.; PEREYRA, S.; SILVA, P.; AZZIMONTI, G.; PRITSCH, C.; QUINCKE, M. |
Afiliación : |
SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ANTONIA PEREYRA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO AZZIMONTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CLARA PRITSCH, Universidad de la República (UdelaR)/ Facultad de Agronomía, Uruguay.; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Breeding for Wheat Disease Resistance at INIA, Uruguay. |
Complemento del título : |
POSTER #11. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
In: Durable Wheat Resistance Meeting, Minnesota (USA). 2-3 November, 2016. |
Páginas : |
p. 18. |
Idioma : |
Inglés |
Thesagro : |
RESISTENCIA A LA ENFERMEDAD; TRIGO. |
Asunto categoría : |
-- |
Marc : |
LEADER 00563nam a2200193 a 4500 001 1056764 005 2017-03-06 008 2016 bl uuuu u00u1 u #d 100 1 $aGERMAN, S. 245 $aBreeding for Wheat Disease Resistance at INIA, Uruguay.$h[electronic resource] 260 $aIn: Durable Wheat Resistance Meeting, Minnesota (USA). 2-3 November$c2016 300 $ap. 18. 650 $aRESISTENCIA A LA ENFERMEDAD 650 $aTRIGO 700 1 $aPEREYRA, S. 700 1 $aSILVA, P. 700 1 $aAZZIMONTI, G. 700 1 $aPRITSCH, C. 700 1 $aQUINCKE, M.
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INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
13/11/2015 |
Actualizado : |
15/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T.J.; MIZTAL, I. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Journal of Dairy Science, 2015, v.98, no.6, p.4090-4094. OPEN ACCESS. |
ISSN : |
0022-0302 |
DOI : |
10.3168/jds.2014-9125 |
Idioma : |
Inglés |
Notas : |
Article history: Received November 18, 2014 / Accepted March 13, 2015 / Published online: April 8, 2015. |
Contenido : |
ABSTRACT.
The purpose of this study was to evaluate the accuracy of genomic selection in single-step genomic BLUP (ssGBLUP) when the inverse of the genomic relationship matrix (G) is derived by the "algorithm for proven and young animals" (APY). This algorithm implements genomic recursions on a subset of "proven" animals. Only a relationship matrix for animals treated as "proven" needs to be inverted, and the extra costs of adding animals treated as "young" are linear. Analyses involved 10,102,702 final scores on 6,930,618 Holstein cows. Final score, which is a composite of type traits, is popular trait in the United States and was easily available for this study. A total of 100,000 animals with genotypes were used in the analyses and included 23,000 sires (16,000 with >5 progeny), 27,000 cows, and 50,000 young animals. Genomic EBV (GEBV) were calculated with a regular inverse of G, and with the G inverse approximated by APY. Animals in the proven subset included only sires (23,000), sires + cows (50,000), only cows (27,000), or sires with >5 progeny (16,000). The correlations of GEBV with APY and regular GEBV for young genotyped animals were 0.994, 0.995, 0.992, and 0.992, respectively Later, animals in the proven subset were randomly sampled from all genotyped animals in sets of 2,000, 5,000, 10,000, 15,000, and 20,000; each sample was replicated 4 times. Respective correlations were 0.97 (5,000 sample), 0.98 (10,000 sample), and 0.99 (20,000 sample), with minimal difference between samples of the same size. Genomic EBV with APY were accurate when the number of animals used in the subset is between 10,000 and 20,000, with little difference between the ways of creating the subset. Due to the approximately linear cost of APY, ssGBLUP with APY could support any number of genotyped animals without affecting accuracy.
© 2015 American Dairy Science Association. MenosABSTRACT.
The purpose of this study was to evaluate the accuracy of genomic selection in single-step genomic BLUP (ssGBLUP) when the inverse of the genomic relationship matrix (G) is derived by the "algorithm for proven and young animals" (APY). This algorithm implements genomic recursions on a subset of "proven" animals. Only a relationship matrix for animals treated as "proven" needs to be inverted, and the extra costs of adding animals treated as "young" are linear. Analyses involved 10,102,702 final scores on 6,930,618 Holstein cows. Final score, which is a composite of type traits, is popular trait in the United States and was easily available for this study. A total of 100,000 animals with genotypes were used in the analyses and included 23,000 sires (16,000 with >5 progeny), 27,000 cows, and 50,000 young animals. Genomic EBV (GEBV) were calculated with a regular inverse of G, and with the G inverse approximated by APY. Animals in the proven subset included only sires (23,000), sires + cows (50,000), only cows (27,000), or sires with >5 progeny (16,000). The correlations of GEBV with APY and regular GEBV for young genotyped animals were 0.994, 0.995, 0.992, and 0.992, respectively Later, animals in the proven subset were randomly sampled from all genotyped animals in sets of 2,000, 5,000, 10,000, 15,000, and 20,000; each sample was replicated 4 times. Respective correlations were 0.97 (5,000 sample), 0.98 (10,000 sample), and 0.99 (20,000 sample), with minimal differe... Presentar Todo |
Palabras claves : |
ANIMALIA; GENOMIC RECURSION; GENOMIC SELECTION; SINGLE-STEP GENOMIC BLUP. |
Thesagro : |
BLUP; MEJORAMIENTO GENETICO ANIMAL. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5183/1/Aguilar-I.-2015.-Jr.DairyScience-v.984-p.4090-4094.pdf
https://www.journalofdairyscience.org/article/S0022-0302(15)00238-6/pdf
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Marc : |
LEADER 02932naa a2200313 a 4500 001 1053873 005 2019-10-15 008 2015 bl uuuu u00u1 u #d 022 $a0022-0302 024 7 $a10.3168/jds.2014-9125$2DOI 100 1 $aFRAGOMENI, B.O. 245 $aHot topic$bUse of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes.$h[electronic resource] 260 $c2015 500 $aArticle history: Received November 18, 2014 / Accepted March 13, 2015 / Published online: April 8, 2015. 520 $aABSTRACT. The purpose of this study was to evaluate the accuracy of genomic selection in single-step genomic BLUP (ssGBLUP) when the inverse of the genomic relationship matrix (G) is derived by the "algorithm for proven and young animals" (APY). This algorithm implements genomic recursions on a subset of "proven" animals. Only a relationship matrix for animals treated as "proven" needs to be inverted, and the extra costs of adding animals treated as "young" are linear. Analyses involved 10,102,702 final scores on 6,930,618 Holstein cows. Final score, which is a composite of type traits, is popular trait in the United States and was easily available for this study. A total of 100,000 animals with genotypes were used in the analyses and included 23,000 sires (16,000 with >5 progeny), 27,000 cows, and 50,000 young animals. Genomic EBV (GEBV) were calculated with a regular inverse of G, and with the G inverse approximated by APY. Animals in the proven subset included only sires (23,000), sires + cows (50,000), only cows (27,000), or sires with >5 progeny (16,000). The correlations of GEBV with APY and regular GEBV for young genotyped animals were 0.994, 0.995, 0.992, and 0.992, respectively Later, animals in the proven subset were randomly sampled from all genotyped animals in sets of 2,000, 5,000, 10,000, 15,000, and 20,000; each sample was replicated 4 times. Respective correlations were 0.97 (5,000 sample), 0.98 (10,000 sample), and 0.99 (20,000 sample), with minimal difference between samples of the same size. Genomic EBV with APY were accurate when the number of animals used in the subset is between 10,000 and 20,000, with little difference between the ways of creating the subset. Due to the approximately linear cost of APY, ssGBLUP with APY could support any number of genotyped animals without affecting accuracy. © 2015 American Dairy Science Association. 650 $aBLUP 650 $aMEJORAMIENTO GENETICO ANIMAL 653 $aANIMALIA 653 $aGENOMIC RECURSION 653 $aGENOMIC SELECTION 653 $aSINGLE-STEP GENOMIC BLUP 700 1 $aLOURENCO, D.A.L. 700 1 $aTSURUTA, S. 700 1 $aMASUDA, Y. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aLAWLOR, T.J. 700 1 $aMIZTAL, I. 773 $tJournal of Dairy Science, 2015$gv.98, no.6, p.4090-4094. OPEN ACCESS.
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