Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data

Detalhes bibliográficos
Autor(a) principal: Costa, Adriano Carvalho
Data de Publicação: 2017
Outros Autores: Balestre, Marcio, Botelho, Hortência Aparecida, Freitas, Rilke Tadeu Fonseca de, Gomes, Richardson Cesar da Silva, Campos, Sérgio Augusto de Sousa, Foresti, Fábio Porto, Hashimoto, Diogo Teruo, Martins, Diego Galetti, Prado, Fernanda Dotti do, Mendonça, Maria Andreia Corrêa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/36638
Resumo: This study aimed to impute the genetic makeup of individual fishes of Serrasalmidae family on the basis of body weight and morphometric measurements. Eighty-three juveniles, belonging to the genetic groups Pacu, Pirapitinga, Tambaqui, Tambacu, Tambatinga, Patinga, Paqui and Piraqui, were separated into 16 water tanks in a recirculation system, with two tanks per genetic group, where they remained until they reached 495 days of age. They were then weighed and analyzed according to the following morphometric parameters: Standard Length (SL), Head Length (HL), Body Height (BH), and Body Width (BW). The identity of each fish was confirmed with two SNPs and two mitochondrial markers. Two analyses were performed: one for the validating the imputation and another for imputing a genetic composition of animals considered to be advanced hybrids (post F1). In both analyses, we used linear mixed models with a mixture of normal distributions to impute the genetic makeup of the fish based on phenotype. We applied the mixed models method, whereby the environmental effects were estimated by the Empirical Best Linear Unbiased Estimator (EBLUE) and genetic effects are considered random, obtaining the Empirical Best Linear Unbiased Predictor (EBLUP) from the general (GCA) and the specific (SCA) combining ability effects. The results showed that validation of the genetic makeup imputation based on body weight can be used because of the strong correlation between the observed and imputed genotype. The fish classified as advanced hybrids had a genetic composition with a high probability of belonging to known genotypes and there was consistency in genotype imputation according to the different characteristics used.
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spelling Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric dataPeixes - Composição genéticaColossoma spp.Piaractus spp.Fishes - Genetic CompositionThis study aimed to impute the genetic makeup of individual fishes of Serrasalmidae family on the basis of body weight and morphometric measurements. Eighty-three juveniles, belonging to the genetic groups Pacu, Pirapitinga, Tambaqui, Tambacu, Tambatinga, Patinga, Paqui and Piraqui, were separated into 16 water tanks in a recirculation system, with two tanks per genetic group, where they remained until they reached 495 days of age. They were then weighed and analyzed according to the following morphometric parameters: Standard Length (SL), Head Length (HL), Body Height (BH), and Body Width (BW). The identity of each fish was confirmed with two SNPs and two mitochondrial markers. Two analyses were performed: one for the validating the imputation and another for imputing a genetic composition of animals considered to be advanced hybrids (post F1). In both analyses, we used linear mixed models with a mixture of normal distributions to impute the genetic makeup of the fish based on phenotype. We applied the mixed models method, whereby the environmental effects were estimated by the Empirical Best Linear Unbiased Estimator (EBLUE) and genetic effects are considered random, obtaining the Empirical Best Linear Unbiased Predictor (EBLUP) from the general (GCA) and the specific (SCA) combining ability effects. The results showed that validation of the genetic makeup imputation based on body weight can be used because of the strong correlation between the observed and imputed genotype. The fish classified as advanced hybrids had a genetic composition with a high probability of belonging to known genotypes and there was consistency in genotype imputation according to the different characteristics used.Escola Superior de Agricultura "Luiz de Queiroz"2019-09-05T18:11:29Z2019-09-05T18:11:29Z2017-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfCOSTA, A. C. et al. Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data. Scientia Agricola, Piracicaba, v. 76, n. 6, p. 443-449, Nov./Dec. 2017.http://repositorio.ufla.br/jspui/handle/1/36638Scientia Agricolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessCosta, Adriano CarvalhoBalestre, MarcioBotelho, Hortência AparecidaFreitas, Rilke Tadeu Fonseca deGomes, Richardson Cesar da SilvaCampos, Sérgio Augusto de SousaForesti, Fábio PortoHashimoto, Diogo TeruoMartins, Diego GalettiPrado, Fernanda Dotti doMendonça, Maria Andreia Corrêaeng2019-09-05T18:11:30Zoai:localhost:1/36638Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2019-09-05T18:11:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
title Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
spellingShingle Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
Costa, Adriano Carvalho
Peixes - Composição genética
Colossoma spp.
Piaractus spp.
Fishes - Genetic Composition
title_short Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
title_full Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
title_fullStr Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
title_full_unstemmed Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
title_sort Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
author Costa, Adriano Carvalho
author_facet Costa, Adriano Carvalho
Balestre, Marcio
Botelho, Hortência Aparecida
Freitas, Rilke Tadeu Fonseca de
Gomes, Richardson Cesar da Silva
Campos, Sérgio Augusto de Sousa
Foresti, Fábio Porto
Hashimoto, Diogo Teruo
Martins, Diego Galetti
Prado, Fernanda Dotti do
Mendonça, Maria Andreia Corrêa
author_role author
author2 Balestre, Marcio
Botelho, Hortência Aparecida
Freitas, Rilke Tadeu Fonseca de
Gomes, Richardson Cesar da Silva
Campos, Sérgio Augusto de Sousa
Foresti, Fábio Porto
Hashimoto, Diogo Teruo
Martins, Diego Galetti
Prado, Fernanda Dotti do
Mendonça, Maria Andreia Corrêa
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Costa, Adriano Carvalho
Balestre, Marcio
Botelho, Hortência Aparecida
Freitas, Rilke Tadeu Fonseca de
Gomes, Richardson Cesar da Silva
Campos, Sérgio Augusto de Sousa
Foresti, Fábio Porto
Hashimoto, Diogo Teruo
Martins, Diego Galetti
Prado, Fernanda Dotti do
Mendonça, Maria Andreia Corrêa
dc.subject.por.fl_str_mv Peixes - Composição genética
Colossoma spp.
Piaractus spp.
Fishes - Genetic Composition
topic Peixes - Composição genética
Colossoma spp.
Piaractus spp.
Fishes - Genetic Composition
description This study aimed to impute the genetic makeup of individual fishes of Serrasalmidae family on the basis of body weight and morphometric measurements. Eighty-three juveniles, belonging to the genetic groups Pacu, Pirapitinga, Tambaqui, Tambacu, Tambatinga, Patinga, Paqui and Piraqui, were separated into 16 water tanks in a recirculation system, with two tanks per genetic group, where they remained until they reached 495 days of age. They were then weighed and analyzed according to the following morphometric parameters: Standard Length (SL), Head Length (HL), Body Height (BH), and Body Width (BW). The identity of each fish was confirmed with two SNPs and two mitochondrial markers. Two analyses were performed: one for the validating the imputation and another for imputing a genetic composition of animals considered to be advanced hybrids (post F1). In both analyses, we used linear mixed models with a mixture of normal distributions to impute the genetic makeup of the fish based on phenotype. We applied the mixed models method, whereby the environmental effects were estimated by the Empirical Best Linear Unbiased Estimator (EBLUE) and genetic effects are considered random, obtaining the Empirical Best Linear Unbiased Predictor (EBLUP) from the general (GCA) and the specific (SCA) combining ability effects. The results showed that validation of the genetic makeup imputation based on body weight can be used because of the strong correlation between the observed and imputed genotype. The fish classified as advanced hybrids had a genetic composition with a high probability of belonging to known genotypes and there was consistency in genotype imputation according to the different characteristics used.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
2019-09-05T18:11:29Z
2019-09-05T18:11:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv COSTA, A. C. et al. Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data. Scientia Agricola, Piracicaba, v. 76, n. 6, p. 443-449, Nov./Dec. 2017.
http://repositorio.ufla.br/jspui/handle/1/36638
identifier_str_mv COSTA, A. C. et al. Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data. Scientia Agricola, Piracicaba, v. 76, n. 6, p. 443-449, Nov./Dec. 2017.
url http://repositorio.ufla.br/jspui/handle/1/36638
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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