Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Zootecnia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100151 |
Resumo: | ABSTRACT This study evaluated morphometric and ultrasound information of tilapia (O. niloticus) breeders through multivariate analysis. We applied correlation, clustering, and principal component analysis to a dataset composed of information from 222 male and female breeders of the improved GIFT strain. The body weight, objective of the breeding program, showed a high positive correlation with most of the morphometric parameters. The formation of clusters indicated characteristics responsible for muscle composition and carcass weight. Some characteristics showed a high correlation, such as body weight and fillet weight (0.98 and 0.94 for females and males, respectively), and a high contribution to the explanation of data variability; of the total characteristics evaluated for females, two explained 75% data variability and four explained 72% for males. We concluded that it is possible to reduce the number of characteristics measured, as well as use information of average daily weight gain and body weight to select female and male breeders, respectively, to drive genetic gains favoring more productive generations. |
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Revista Brasileira de Zootecnia (Online) |
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Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breedersaquaculturebreedingfish farmingOreochromis sp.phenotypic selectionABSTRACT This study evaluated morphometric and ultrasound information of tilapia (O. niloticus) breeders through multivariate analysis. We applied correlation, clustering, and principal component analysis to a dataset composed of information from 222 male and female breeders of the improved GIFT strain. The body weight, objective of the breeding program, showed a high positive correlation with most of the morphometric parameters. The formation of clusters indicated characteristics responsible for muscle composition and carcass weight. Some characteristics showed a high correlation, such as body weight and fillet weight (0.98 and 0.94 for females and males, respectively), and a high contribution to the explanation of data variability; of the total characteristics evaluated for females, two explained 75% data variability and four explained 72% for males. We concluded that it is possible to reduce the number of characteristics measured, as well as use information of average daily weight gain and body weight to select female and male breeders, respectively, to drive genetic gains favoring more productive generations.Sociedade Brasileira de Zootecnia2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100151Revista Brasileira de Zootecnia v.48 2019reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.1590/rbz4820170179info:eu-repo/semantics/openAccessOliveira,Sheila Nogueira deRibeiro,Ricardo PereiraOliveira,Carlos Antonio Lopes deLopera-Barrero,Nelson MauricioBorquis,Rusbel Raul AspilcuetaZardin,Aline Mayra da Silva OliveiraSouza,Felipe Pinheiro dePoveda-Parra,Angela Rocioeng2019-03-14T00:00:00Zoai:scielo:S1516-35982019000100151Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2019-03-14T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false |
dc.title.none.fl_str_mv |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders |
title |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders |
spellingShingle |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders Oliveira,Sheila Nogueira de aquaculture breeding fish farming Oreochromis sp. phenotypic selection |
title_short |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders |
title_full |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders |
title_fullStr |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders |
title_full_unstemmed |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders |
title_sort |
Multivariate analysis using morphometric and ultrasound information for selection of tilapia (Oreochromis niloticus) breeders |
author |
Oliveira,Sheila Nogueira de |
author_facet |
Oliveira,Sheila Nogueira de Ribeiro,Ricardo Pereira Oliveira,Carlos Antonio Lopes de Lopera-Barrero,Nelson Mauricio Borquis,Rusbel Raul Aspilcueta Zardin,Aline Mayra da Silva Oliveira Souza,Felipe Pinheiro de Poveda-Parra,Angela Rocio |
author_role |
author |
author2 |
Ribeiro,Ricardo Pereira Oliveira,Carlos Antonio Lopes de Lopera-Barrero,Nelson Mauricio Borquis,Rusbel Raul Aspilcueta Zardin,Aline Mayra da Silva Oliveira Souza,Felipe Pinheiro de Poveda-Parra,Angela Rocio |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Oliveira,Sheila Nogueira de Ribeiro,Ricardo Pereira Oliveira,Carlos Antonio Lopes de Lopera-Barrero,Nelson Mauricio Borquis,Rusbel Raul Aspilcueta Zardin,Aline Mayra da Silva Oliveira Souza,Felipe Pinheiro de Poveda-Parra,Angela Rocio |
dc.subject.por.fl_str_mv |
aquaculture breeding fish farming Oreochromis sp. phenotypic selection |
topic |
aquaculture breeding fish farming Oreochromis sp. phenotypic selection |
description |
ABSTRACT This study evaluated morphometric and ultrasound information of tilapia (O. niloticus) breeders through multivariate analysis. We applied correlation, clustering, and principal component analysis to a dataset composed of information from 222 male and female breeders of the improved GIFT strain. The body weight, objective of the breeding program, showed a high positive correlation with most of the morphometric parameters. The formation of clusters indicated characteristics responsible for muscle composition and carcass weight. Some characteristics showed a high correlation, such as body weight and fillet weight (0.98 and 0.94 for females and males, respectively), and a high contribution to the explanation of data variability; of the total characteristics evaluated for females, two explained 75% data variability and four explained 72% for males. We concluded that it is possible to reduce the number of characteristics measured, as well as use information of average daily weight gain and body weight to select female and male breeders, respectively, to drive genetic gains favoring more productive generations. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100151 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100151 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/rbz4820170179 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
dc.source.none.fl_str_mv |
Revista Brasileira de Zootecnia v.48 2019 reponame:Revista Brasileira de Zootecnia (Online) instname:Sociedade Brasileira de Zootecnia (SBZ) instacron:SBZ |
instname_str |
Sociedade Brasileira de Zootecnia (SBZ) |
instacron_str |
SBZ |
institution |
SBZ |
reponame_str |
Revista Brasileira de Zootecnia (Online) |
collection |
Revista Brasileira de Zootecnia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ) |
repository.mail.fl_str_mv |
||bz@sbz.org.br|| secretariarbz@sbz.org.br |
_version_ |
1750318153187983360 |