Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.

The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation.

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Main Authors: MIRANDA, T. L. R., RESENDE, M. D. V. de, AZEVEDO, C. F., NUNES, A. C. P., TAKAHASHI, E. K., SIMIQUELI, G. F., SILVA, F. F. e, ALVES, R. S.
Other Authors: TAIANA LOPES RANGEL MIRANDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; CAMILA FERREIRA AZEVEDO, UFV; ANDREI CAÍQUE PIRES NUNES, UNIVERSIDADE FEDERAL DO SUL DA BAHIA; ELIZABETE KEIKO TAKAHASHI, CELULOSE NIPO-BRASILEIRA S.A; GUILHERME FERREIRA SIMIQUELI, UFV; FABYANO FONSECA E SILVA, UFV; RODRIGO SILVA ALVES, UFLA.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2022-01-19
Subjects:Melhoramento Genético Vegetal, Seleção Genética, Molecular models, Plant selection guides, Plant breeding,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139183
https://doi.org/10.1590/1678-992X-2021-0074
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spelling dig-alice-doc-11391832022-01-19T16:00:35Z Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection. MIRANDA, T. L. R. RESENDE, M. D. V. de AZEVEDO, C. F. NUNES, A. C. P. TAKAHASHI, E. K. SIMIQUELI, G. F. SILVA, F. F. e ALVES, R. S. TAIANA LOPES RANGEL MIRANDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; CAMILA FERREIRA AZEVEDO, UFV; ANDREI CAÍQUE PIRES NUNES, UNIVERSIDADE FEDERAL DO SUL DA BAHIA; ELIZABETE KEIKO TAKAHASHI, CELULOSE NIPO-BRASILEIRA S.A; GUILHERME FERREIRA SIMIQUELI, UFV; FABYANO FONSECA E SILVA, UFV; RODRIGO SILVA ALVES, UFLA. Melhoramento Genético Vegetal Seleção Genética Molecular models Plant selection guides Plant breeding The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation. 2022-01-19T16:00:25Z 2022-01-19T16:00:25Z 2022-01-19 2022 Artigo de periódico Scientia Agricola, v. 79, n. 6, p. 1-7, 2022. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139183 https://doi.org/10.1590/1678-992X-2021-0074 Ingles en openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
topic Melhoramento Genético Vegetal
Seleção Genética
Molecular models
Plant selection guides
Plant breeding
Melhoramento Genético Vegetal
Seleção Genética
Molecular models
Plant selection guides
Plant breeding
spellingShingle Melhoramento Genético Vegetal
Seleção Genética
Molecular models
Plant selection guides
Plant breeding
Melhoramento Genético Vegetal
Seleção Genética
Molecular models
Plant selection guides
Plant breeding
MIRANDA, T. L. R.
RESENDE, M. D. V. de
AZEVEDO, C. F.
NUNES, A. C. P.
TAKAHASHI, E. K.
SIMIQUELI, G. F.
SILVA, F. F. e
ALVES, R. S.
Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
description The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation.
author2 TAIANA LOPES RANGEL MIRANDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; CAMILA FERREIRA AZEVEDO, UFV; ANDREI CAÍQUE PIRES NUNES, UNIVERSIDADE FEDERAL DO SUL DA BAHIA; ELIZABETE KEIKO TAKAHASHI, CELULOSE NIPO-BRASILEIRA S.A; GUILHERME FERREIRA SIMIQUELI, UFV; FABYANO FONSECA E SILVA, UFV; RODRIGO SILVA ALVES, UFLA.
author_facet TAIANA LOPES RANGEL MIRANDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; CAMILA FERREIRA AZEVEDO, UFV; ANDREI CAÍQUE PIRES NUNES, UNIVERSIDADE FEDERAL DO SUL DA BAHIA; ELIZABETE KEIKO TAKAHASHI, CELULOSE NIPO-BRASILEIRA S.A; GUILHERME FERREIRA SIMIQUELI, UFV; FABYANO FONSECA E SILVA, UFV; RODRIGO SILVA ALVES, UFLA.
MIRANDA, T. L. R.
RESENDE, M. D. V. de
AZEVEDO, C. F.
NUNES, A. C. P.
TAKAHASHI, E. K.
SIMIQUELI, G. F.
SILVA, F. F. e
ALVES, R. S.
format Artigo de periódico
topic_facet Melhoramento Genético Vegetal
Seleção Genética
Molecular models
Plant selection guides
Plant breeding
author MIRANDA, T. L. R.
RESENDE, M. D. V. de
AZEVEDO, C. F.
NUNES, A. C. P.
TAKAHASHI, E. K.
SIMIQUELI, G. F.
SILVA, F. F. e
ALVES, R. S.
author_sort MIRANDA, T. L. R.
title Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
title_short Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
title_full Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
title_fullStr Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
title_full_unstemmed Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
title_sort evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
publishDate 2022-01-19
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139183
https://doi.org/10.1590/1678-992X-2021-0074
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