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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
12/02/2018 |
Actualizado : |
12/10/2022 |
Autor : |
MOTTA, A. C.; GARCIA, N.C.P.; PONTUAL, M. DE A. C.; SILVA, J. B. T. DA. (Ed.). |
Título : |
Forrageiras e pastagens: resumos informativos. |
Complemento del título : |
Volume 1. |
Fecha de publicación : |
1980 |
Fuente / Imprenta : |
Brasília: EMBRAPA-DID/Coronel Pacheco: EMBRAPA-CNPGL, 1980 |
Páginas : |
441 p. |
Serie : |
(EMBRAPA-CNPGL. Forrageiras e Pastagens. Resumos Informativos, 12). |
Idioma : |
Portugués |
Contenido : |
Adubação e fertilidade; Aspectos gerais da forragicultura e pastagem; Botânica geral e sistemática; Ecologia e climatologia; Economia; Fisiologia; Fitossanidade; Melhoramento e genética; Plantas tóxicas; Valor nutritivo; Índice de assuntos; Índice de autores; Índice geográfico. |
Thesagro : |
FERTILIZACION; FISIOLOGIA; PASTURAS; PLANTAS FORRAJERAS. |
Asunto categoría : |
F01 Cultivo |
Marc : |
LEADER 00923nam a2200217 a 4500 001 1058063 005 2022-10-12 008 1980 bl uuuu u01u1 u #d 100 1 $aMOTTA, A. C. 245 $aForrageiras e pastagens$bresumos informativos. 260 $aBrasília: EMBRAPA-DID/Coronel Pacheco: EMBRAPA-CNPGL$c1980 300 $a441 p. 490 $a(EMBRAPA-CNPGL. Forrageiras e Pastagens. Resumos Informativos, 12). 520 $aAdubação e fertilidade; Aspectos gerais da forragicultura e pastagem; Botânica geral e sistemática; Ecologia e climatologia; Economia; Fisiologia; Fitossanidade; Melhoramento e genética; Plantas tóxicas; Valor nutritivo; Índice de assuntos; Índice de autores; Índice geográfico. 650 $aFERTILIZACION 650 $aFISIOLOGIA 650 $aPASTURAS 650 $aPLANTAS FORRAJERAS 700 1 $aGARCIA, N.C.P. 700 1 $aPONTUAL, M. DE A. C. 700 1 $aSILVA, J. B. T. DA.
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INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
16/09/2014 |
Actualizado : |
23/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
Autor : |
MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LEGARRA, A.; VAN RADEN, P.M.; LAWLOR, T.J. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Methods to approximate reliabilities in single-step genomic evaluation. |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
Journal of Dairy Science, 2013, v.96, no.1, p.647-654. OPEN ACCESS. |
ISSN : |
0022-0302 |
DOI : |
10.3168/jds.2012-5656 |
Idioma : |
Inglés |
Notas : |
Article history: Received April 24, 2012. / Accepted September 18, 2012. |
Contenido : |
ABSTRACT.
Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by matrix inversion, but that is not feasible for large data sets. Two methods of approximating reliability were developed based on the decomposition of a function of reliability into contributions from records, pedigrees, and genotypes. Those contributions can be expressed in record or daughter equivalents. The first approximation method involved inversion of a matrix that contains inverses of the genomic relationship matrix and the pedigree relationship matrix for genotyped animals. The second approximation method involved only the diagonal elements of those inverses. The 2 approximation methods were tested with a simulated data set. The correlations between ssGBLUP and approximated contributions from genomic information were 0.92 for the first approximation method and 0.56 for the second approximation method; contributions were inflated by 62 and 258%, respectively. The respective correlations for reliabilities were 0.98 and 0.72. After empirical correction for inflation, those correlations increased to 0.99 and 0.89. Approximations of reliabilities of predictions by ssGBLUP are accurate and computationally feasible for populations with up to 100,000 genotyped animals. A critical part of the approximations is quality control of information from single nucleotide polymorphisms and proper scaling of the genomic relationship matrix.
© 2013 American Dairy Science Association. |
Thesagro : |
GENETICA ANIMAL; MEJORAMIENTO GENETICO ANIMAL; MÉTODOS ESTADÍSTICOS. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/3143/1/Aguilar-J.-2013.-Jr.Dairy-Sci.-v.961-p.647-654.pdf
http://www.journalofdairyscience.org/article/S0022-0302(12)00802-8/pdf
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Marc : |
LEADER 02299naa a2200253 a 4500 001 1050289 005 2019-10-23 008 2013 bl uuuu u00u1 u #d 022 $a0022-0302 024 7 $a10.3168/jds.2012-5656$2DOI 100 1 $aMISZTAL, I. 245 $aMethods to approximate reliabilities in single-step genomic evaluation.$h[electronic resource] 260 $c2013 500 $aArticle history: Received April 24, 2012. / Accepted September 18, 2012. 520 $aABSTRACT. Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by matrix inversion, but that is not feasible for large data sets. Two methods of approximating reliability were developed based on the decomposition of a function of reliability into contributions from records, pedigrees, and genotypes. Those contributions can be expressed in record or daughter equivalents. The first approximation method involved inversion of a matrix that contains inverses of the genomic relationship matrix and the pedigree relationship matrix for genotyped animals. The second approximation method involved only the diagonal elements of those inverses. The 2 approximation methods were tested with a simulated data set. The correlations between ssGBLUP and approximated contributions from genomic information were 0.92 for the first approximation method and 0.56 for the second approximation method; contributions were inflated by 62 and 258%, respectively. The respective correlations for reliabilities were 0.98 and 0.72. After empirical correction for inflation, those correlations increased to 0.99 and 0.89. Approximations of reliabilities of predictions by ssGBLUP are accurate and computationally feasible for populations with up to 100,000 genotyped animals. A critical part of the approximations is quality control of information from single nucleotide polymorphisms and proper scaling of the genomic relationship matrix. © 2013 American Dairy Science Association. 650 $aGENETICA ANIMAL 650 $aMEJORAMIENTO GENETICO ANIMAL 650 $aMÉTODOS ESTADÍSTICOS 700 1 $aTSURUTA, S. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aVAN RADEN, P.M. 700 1 $aLAWLOR, T.J. 773 $tJournal of Dairy Science, 2013$gv.96, no.1, p.647-654. OPEN ACCESS.
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