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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Corte. |
Data corrente: |
17/02/2006 |
Data da última atualização: |
11/07/2013 |
Autoria: |
MRODE, R. A. |
Título: |
Linear models for the prediction of animal breeding values. |
Edição: |
2nd ed. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Wallingford: CABI, 2005. |
Páginas: |
344 p. |
ISBN: |
0851990002 |
Idioma: |
Inglês |
Conteúdo: |
Genetic evaluation with different sources of records. Genetic covariance between relatives. Best linear unbiased prediction of breeding value: univariate models with one
random effects. Best linear unbiased prediction of breeding value: Models with random
environmental effects. Best Linear unbiased prediction of breeding value: multivariate models. Maternal traits models: Animal and reduced animal models. Analysis of longitudinal data. Use of genetic markers in prediction of breeding values. Non-additive animal models. Analysis of ordered categorical trait. Estimation of genetic parameters. Application of Gibbs sampling in variance component estimation and prediction of breeding value. Solving linear equations. Appendix A: Introductory Matrix Algebra. Appendix B: Fast Algorithms for calculating inbreeding based on the L matrix. Apendix C: Outline of the derivation of the Best Linear Unbiased Prediction (BLUP). Appendix D: Methods for obtaining approximate reliability for genetic evaluations . Appendix E: Canonical Transformation: Procedure to calculate the transformation matrix and its inverse. Appendix F : Procedure for computing de-regressed breeding values. Appendix F : Procedure for computing de-regressed breeding values. Appendix G: Calculating F, a matrix of Legendre polynomials evaluated at different ages or time periods . Appendix G: Calculating F, a matrix of Legendre polynomials evaluated at different ages or time periods
Appendix H: Computing the covariance matrix of additive genetic effect of marked
QTL when paternal or maternal origin of marker alleles cannot be determined o
marker information is incomplete. MenosGenetic evaluation with different sources of records. Genetic covariance between relatives. Best linear unbiased prediction of breeding value: univariate models with one
random effects. Best linear unbiased prediction of breeding value: Models with random
environmental effects. Best Linear unbiased prediction of breeding value: multivariate models. Maternal traits models: Animal and reduced animal models. Analysis of longitudinal data. Use of genetic markers in prediction of breeding values. Non-additive animal models. Analysis of ordered categorical trait. Estimation of genetic parameters. Application of Gibbs sampling in variance component estimation and prediction of breeding value. Solving linear equations. Appendix A: Introductory Matrix Algebra. Appendix B: Fast Algorithms for calculating inbreeding based on the L matrix. Apendix C: Outline of the derivation of the Best Linear Unbiased Prediction (BLUP). Appendix D: Methods for obtaining approximate reliability for genetic evaluations . Appendix E: Canonical Transformation: Procedure to calculate the transformation matrix and its inverse. Appendix F : Procedure for computing de-regressed breeding values. Appendix F : Procedure for computing de-regressed breeding values. Appendix G: Calculating F, a matrix of Legendre polynomials evaluated at different ages or time periods . Appendix G: Calculating F, a matrix of Legendre polynomials evaluated at different ages or time periods
Appendix H: Computing the covariance mat... Mostrar Tudo |
Palavras-Chave: |
Avaliação; BLUP; Evaluation; Model; Modelo. |
Thesagro: |
Análise Estatística; Estatística; Melhoramento Genético Animal. |
Thesaurus Nal: |
animal breeding; statistical analysis; statistics. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02341nam a2200277 a 4500 001 1325197 005 2013-07-11 008 2005 bl uuuu 00u1 u #d 020 $a0851990002 100 1 $aMRODE, R. A. 245 $aLinear models for the prediction of animal breeding values. 250 $a2nd ed. 260 $aWallingford: CABI$c2005 300 $a344 p. 520 $aGenetic evaluation with different sources of records. Genetic covariance between relatives. Best linear unbiased prediction of breeding value: univariate models with one random effects. Best linear unbiased prediction of breeding value: Models with random environmental effects. Best Linear unbiased prediction of breeding value: multivariate models. Maternal traits models: Animal and reduced animal models. Analysis of longitudinal data. Use of genetic markers in prediction of breeding values. Non-additive animal models. Analysis of ordered categorical trait. Estimation of genetic parameters. Application of Gibbs sampling in variance component estimation and prediction of breeding value. Solving linear equations. Appendix A: Introductory Matrix Algebra. Appendix B: Fast Algorithms for calculating inbreeding based on the L matrix. Apendix C: Outline of the derivation of the Best Linear Unbiased Prediction (BLUP). Appendix D: Methods for obtaining approximate reliability for genetic evaluations . Appendix E: Canonical Transformation: Procedure to calculate the transformation matrix and its inverse. Appendix F : Procedure for computing de-regressed breeding values. Appendix F : Procedure for computing de-regressed breeding values. Appendix G: Calculating F, a matrix of Legendre polynomials evaluated at different ages or time periods . Appendix G: Calculating F, a matrix of Legendre polynomials evaluated at different ages or time periods Appendix H: Computing the covariance matrix of additive genetic effect of marked QTL when paternal or maternal origin of marker alleles cannot be determined o marker information is incomplete. 650 $aanimal breeding 650 $astatistical analysis 650 $astatistics 650 $aAnálise Estatística 650 $aEstatística 650 $aMelhoramento Genético Animal 653 $aAvaliação 653 $aBLUP 653 $aEvaluation 653 $aModel 653 $aModelo
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Embrapa Gado de Corte (CNPGC) |
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1. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | HICKEY, J. M.; CHIURUGWI, T.; MACKAY, I.; POWELL, W.; EGGEN, A.; KILIAN, A.; JONES, C.; CANALES, C.; GRATTAPAGLIA, D.; BASSI, F.; ATLIN, G.; GORJANC, G.; DAWSON, I.; RABBI, I.; RIBAUT, J.-M.; RUTKOSKI, J.; BENZIE, J.; LIGHTNER, J.; MWACHARO, J.; PARMENTIER, J.; ROBBINS, K.; SKOT, L.; WOLFE, M.; ROUARD, M.; CLARK, M.; AMER, P.; GARDINER, P.; HENDRE, P.; MRODE, R.; SIVASANKAR, S.; RASMUSSEN, S.; GROH, S.; JACKSON, V.; THOMAS, W.; BEYENE, Y. Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. Nature Genetics, v. 49, p. 1297-1303, 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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