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 UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1678-992X-2016-0251 http://hdl.handle.net/11449/163143 |
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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Repositório Institucional da UNESP |
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spelling |
Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric dataColossoma spp.Piaractus spp.breedingmixture modelround fishThis 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.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Goiano Fed Inst, Dept Anim Sci, Rod Goiana,Km 01, BR-75901970 Rio Verde, Go, BrazilUniv Fed Lavras, Dept Exact Sci, CP 3037, BR-37200000 Lavras, MG, BrazilUniv Fed Lavras, Dept Anim Sci, Lavras, MG, BrazilUniv Fed Lavras, Dept Food Sci, Lavras, MG, BrazilSao Paulo State Univ, Sch Sci, Biol Sci Dept, Av Engn Luiz Edmundo Carrijo Coube 1401, BR-17033360 Bauru, SP, BrazilSao Paulo State Univ, FCAV, Biol Sci Dept, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, BrazilSao Paulo State Univ, Sch Sci, Biol Sci Dept, Av Engn Luiz Edmundo Carrijo Coube 1401, BR-17033360 Bauru, SP, BrazilSao Paulo State Univ, FCAV, Biol Sci Dept, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, BrazilUniv Sao PaoloGoiano Fed InstUniversidade Federal de Lavras (UFLA)Universidade Estadual Paulista (Unesp)Costa, Adriano CarvalhoBalestre, MarcioBotelho, Hortencia AparecidaFonseca de Freitas, Rilke TadeuSilva Gomes, Richardson Cesar daSousa Campos, Sergio Augusto deForesti, Fabio Porto [UNESP]Hashimoto, Diogo Teruo [UNESP]Martins, Diego Galetti [UNESP]Prado, Fernanda Dotti do [UNESP]Correa Mendonca, Maria Andreia2018-11-26T17:40:17Z2018-11-26T17:40:17Z2017-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article443-449application/pdfhttp://dx.doi.org/10.1590/1678-992X-2016-0251Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 74, n. 6, p. 443-449, 2017.1678-992Xhttp://hdl.handle.net/11449/16314310.1590/1678-992X-2016-0251S0103-90162017000600443WOS:000407814500003S0103-90162017000600443.pdf38153381741658320000-0001-8845-3845Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientia Agricolainfo:eu-repo/semantics/openAccess2024-04-23T15:23:49Zoai:repositorio.unesp.br:11449/163143Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:46:14.295295Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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 Colossoma spp. Piaractus spp. breeding mixture model round fish |
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, Hortencia Aparecida Fonseca de Freitas, Rilke Tadeu Silva Gomes, Richardson Cesar da Sousa Campos, Sergio Augusto de Foresti, Fabio Porto [UNESP] Hashimoto, Diogo Teruo [UNESP] Martins, Diego Galetti [UNESP] Prado, Fernanda Dotti do [UNESP] Correa Mendonca, Maria Andreia |
author_role |
author |
author2 |
Balestre, Marcio Botelho, Hortencia Aparecida Fonseca de Freitas, Rilke Tadeu Silva Gomes, Richardson Cesar da Sousa Campos, Sergio Augusto de Foresti, Fabio Porto [UNESP] Hashimoto, Diogo Teruo [UNESP] Martins, Diego Galetti [UNESP] Prado, Fernanda Dotti do [UNESP] Correa Mendonca, Maria Andreia |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Goiano Fed Inst Universidade Federal de Lavras (UFLA) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Costa, Adriano Carvalho Balestre, Marcio Botelho, Hortencia Aparecida Fonseca de Freitas, Rilke Tadeu Silva Gomes, Richardson Cesar da Sousa Campos, Sergio Augusto de Foresti, Fabio Porto [UNESP] Hashimoto, Diogo Teruo [UNESP] Martins, Diego Galetti [UNESP] Prado, Fernanda Dotti do [UNESP] Correa Mendonca, Maria Andreia |
dc.subject.por.fl_str_mv |
Colossoma spp. Piaractus spp. breeding mixture model round fish |
topic |
Colossoma spp. Piaractus spp. breeding mixture model round fish |
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 |
2017-11-01 2018-11-26T17:40:17Z 2018-11-26T17:40:17Z |
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 |
http://dx.doi.org/10.1590/1678-992X-2016-0251 Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 74, n. 6, p. 443-449, 2017. 1678-992X http://hdl.handle.net/11449/163143 10.1590/1678-992X-2016-0251 S0103-90162017000600443 WOS:000407814500003 S0103-90162017000600443.pdf 3815338174165832 0000-0001-8845-3845 |
url |
http://dx.doi.org/10.1590/1678-992X-2016-0251 http://hdl.handle.net/11449/163143 |
identifier_str_mv |
Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 74, n. 6, p. 443-449, 2017. 1678-992X 10.1590/1678-992X-2016-0251 S0103-90162017000600443 WOS:000407814500003 S0103-90162017000600443.pdf 3815338174165832 0000-0001-8845-3845 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Scientia Agricola |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
443-449 application/pdf |
dc.publisher.none.fl_str_mv |
Univ Sao Paolo |
publisher.none.fl_str_mv |
Univ Sao Paolo |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129246172807168 |