Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500859 |
Resumo: | Abstract: This study aimed to estimate genetic parameters and correlations between morphological, agronomic and root quality traits of cassava plants, as well as to study cause and effect relationships through path analysis. A total of 814 genotypes were evaluated from 2011 to 2015. The joint analysis of the data was performed by the mixed models approach. The predicted genetic values of the genotypes were used to estimate the genetic correlations among as well the path analysis. The estimates of heritability of the genotype means ranged from 0.31 (commercial fresh root yield – CRY) to 0.62 (plant height - PLH). The highest genetic correlation coefficient estimates were observed for starch yield (STY) × total fresh root yield (FRY) (0.97). The results of the path analysis showed that FRY had the highest direct effect on STY, but the indirect selection based on FRY was not efficient to improve the gain of STY. |
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Anais da Academia Brasileira de Ciências (Online) |
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Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasmManihot esculenta Crantzheritabilitycorrelationcorrelated response.Abstract: This study aimed to estimate genetic parameters and correlations between morphological, agronomic and root quality traits of cassava plants, as well as to study cause and effect relationships through path analysis. A total of 814 genotypes were evaluated from 2011 to 2015. The joint analysis of the data was performed by the mixed models approach. The predicted genetic values of the genotypes were used to estimate the genetic correlations among as well the path analysis. The estimates of heritability of the genotype means ranged from 0.31 (commercial fresh root yield – CRY) to 0.62 (plant height - PLH). The highest genetic correlation coefficient estimates were observed for starch yield (STY) × total fresh root yield (FRY) (0.97). The results of the path analysis showed that FRY had the highest direct effect on STY, but the indirect selection based on FRY was not efficient to improve the gain of STY.Academia Brasileira de Ciências2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500859Anais da Academia Brasileira de Ciências v.91 n.3 2019reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201920180387info:eu-repo/semantics/openAccessDINIZ,RAFAEL P.OLIVEIRA,EDER J. DEeng2019-08-14T00:00:00Zoai:scielo:S0001-37652019000500859Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-08-14T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm |
title |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm |
spellingShingle |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm DINIZ,RAFAEL P. Manihot esculenta Crantz heritability correlation correlated response. |
title_short |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm |
title_full |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm |
title_fullStr |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm |
title_full_unstemmed |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm |
title_sort |
Genetic parameters, path analysis and indirect selection of agronomic traits of cassava germplasm |
author |
DINIZ,RAFAEL P. |
author_facet |
DINIZ,RAFAEL P. OLIVEIRA,EDER J. DE |
author_role |
author |
author2 |
OLIVEIRA,EDER J. DE |
author2_role |
author |
dc.contributor.author.fl_str_mv |
DINIZ,RAFAEL P. OLIVEIRA,EDER J. DE |
dc.subject.por.fl_str_mv |
Manihot esculenta Crantz heritability correlation correlated response. |
topic |
Manihot esculenta Crantz heritability correlation correlated response. |
description |
Abstract: This study aimed to estimate genetic parameters and correlations between morphological, agronomic and root quality traits of cassava plants, as well as to study cause and effect relationships through path analysis. A total of 814 genotypes were evaluated from 2011 to 2015. The joint analysis of the data was performed by the mixed models approach. The predicted genetic values of the genotypes were used to estimate the genetic correlations among as well the path analysis. The estimates of heritability of the genotype means ranged from 0.31 (commercial fresh root yield – CRY) to 0.62 (plant height - PLH). The highest genetic correlation coefficient estimates were observed for starch yield (STY) × total fresh root yield (FRY) (0.97). The results of the path analysis showed that FRY had the highest direct effect on STY, but the indirect selection based on FRY was not efficient to improve the gain of STY. |
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=S0001-37652019000500859 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500859 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765201920180387 |
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 |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.91 n.3 2019 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302867752091648 |