|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
18/12/2018 |
Tipo de producción científica : |
Artículos Indexados |
Autor : |
MISZTAL, I.; FRAGOMENI, B.; LOURENÇO, D. A. L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T. J. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Efficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY). |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p. 111-116. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and
GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular inverse. The inverse with APY is computed from G, which in turn is derived from single nucleotide polymorphism (SNP) BLUP and indirectly from BayesB or other SNP-based prediction methods. Strategies like SNP selection, SNP weighting, and use of causative SNPs from sequence analysis can be incorporated in APY without additional cost. The APY removes size limitations from ssGBLUP and facilitates a model with a complex genetic architecture. MenosABSTRACT.
The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and
GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular... Presentar Todo |
Palabras claves : |
BIG POPULATION; GENOMIC RECURSION; INVERSION; SINGLE-STEP METHOD. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12204/1/1387-2387-1-PB.pdf
|
Marc : |
LEADER 02658naa a2200253 a 4500 001 1012458 005 2018-12-18 008 2015 bl uuuu u00u1 u #d 100 1 $aMISZTAL, I. 245 $aEfficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY).$h[electronic resource] 260 $c2015 520 $aABSTRACT. The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular inverse. The inverse with APY is computed from G, which in turn is derived from single nucleotide polymorphism (SNP) BLUP and indirectly from BayesB or other SNP-based prediction methods. Strategies like SNP selection, SNP weighting, and use of causative SNPs from sequence analysis can be incorporated in APY without additional cost. The APY removes size limitations from ssGBLUP and facilitates a model with a complex genetic architecture. 653 $aBIG POPULATION 653 $aGENOMIC RECURSION 653 $aINVERSION 653 $aSINGLE-STEP METHOD 700 1 $aFRAGOMENI, B. 700 1 $aLOURENÇO, D. A. L. 700 1 $aTSURUTA, S. 700 1 $aMASUDA, Y. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aLAWLOR, T. J. 773 $tInterbull Bulletin, 2015$gv. 49, p. 111-116.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
04/12/2015 |
Actualizado : |
27/03/2019 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
VILARÓ, P.; BENNADJI, Z.; MOYNA, G.; PANIZZOLO, L.; FERREIRA, F. |
Afiliación : |
PILAR VILARÓ, Universidad de la República (UdelaR)/ Centro Universitario Regional Tacuarembó; ZOHRA BENNADJI SOUALHIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUILLERMO MOYNA, Universidad de la República (UdelaR)/ Facultad de Química.; LUIS PANIZZOLO, Universidad de la República (UdelaR)/ Facultad de Química:; FERNANDO AMAURY FERREIRA CHIESA, Universidad de la República (UdelaR)/ Facultad de Química; Centro Universitario Regional Tacuarembó. |
Título : |
Isolation, characterization and molecular size distribution of gatactomannans trom Prosopisalfinis seeds endosperm. Abstract. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
ln: EPNOE International Polysocchari de Conference (4., Warsaw, Poland). Book of abstracts. Polysaccharides and polysaccharide-based advanced materials: from science
to industry. Warsay: EPNOE, 2015. |
Páginas : |
p. 269-270 |
Idioma : |
Español |
Notas : |
19 - 22 October. Poster 59. |
Contenido : |
Galactomannans are valuable water-soluble nonionic polysaccharides, used in the food industry. As part of our bioprospection program for the valorization of Uruguayan native woodlands we have isolated and characterized the galactomannan present in the seeds of Prosopisaffinis Spreng. (Leguminosae, Mimosaceae) |
Thesagro : |
PROSOPIS AFFINIS. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5357/1/Bennadji-2015.pdf
|
Marc : |
LEADER 01075nam a2200193 a 4500 001 1054072 005 2019-03-27 008 2015 bl uuuu u00u1 u #d 100 1 $aVILARÓ, P. 245 $aIsolation, characterization and molecular size distribution of gatactomannans trom Prosopisalfinis seeds endosperm. Abstract.$h[electronic resource] 260 $aln: EPNOE International Polysocchari de Conference (4., Warsaw, Poland). Book of abstracts. Polysaccharides and polysaccharide-based advanced materials: from science to industry. Warsay: EPNOE$c2015 300 $ap. 269-270 500 $a19 - 22 October. Poster 59. 520 $aGalactomannans are valuable water-soluble nonionic polysaccharides, used in the food industry. As part of our bioprospection program for the valorization of Uruguayan native woodlands we have isolated and characterized the galactomannan present in the seeds of Prosopisaffinis Spreng. (Leguminosae, Mimosaceae) 650 $aPROSOPIS AFFINIS 700 1 $aBENNADJI, Z. 700 1 $aMOYNA, G. 700 1 $aPANIZZOLO, L. 700 1 $aFERREIRA, F.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Tacuarembó (TBO) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|