Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , |
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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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 |
_version_ |
1784550018909208576 |