Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42490 |
Resumo: | Crambe is an oilseed plant producing oil that can be used for various industrial purposes, including the production of biofuel. It is a short-cycle, non-food plant that can be grown as a second crop following soybean or corn crops and using the same agricultural machinery. This work aimed to estimate genetic parameters and correlations between traits of genotypes grown for two years in seven locations in two Brazilian states. The cultivar FMS Brilhante and the lines CR 1101, CR 1102, CR 1105, CR 1202, CR 1303, and CR 1304 were used. The traits evaluated were grain yield (YD), plant height (PH), stem diameter (SD), first fruiting branch height (BH), 1,000-seed weight (SW), and number of branches (NB). The correlations between traits were identified from the phenotypic covariance matrix through path analysis. Based on the joint analysis, the interaction of genotypes x years x locations was observed. Expressive genetic variability was verified for all evaluated traits, which allows gains to be made with the selection of genotypes. High broad-sense heritabilities based on plot means were verified for YD, BH, and SW (82, 84 and 77%, respectively), which indicates the possibility of directly selecting them. SW and SD showed the greatest direct effects and strongest correlations with YD. |
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Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel productionEstimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel productionbreeding; biofuels; oleaginous plants; brassicaceaebreeding; biofuels; oleaginous plants; brassicaceaeCrambe is an oilseed plant producing oil that can be used for various industrial purposes, including the production of biofuel. It is a short-cycle, non-food plant that can be grown as a second crop following soybean or corn crops and using the same agricultural machinery. This work aimed to estimate genetic parameters and correlations between traits of genotypes grown for two years in seven locations in two Brazilian states. The cultivar FMS Brilhante and the lines CR 1101, CR 1102, CR 1105, CR 1202, CR 1303, and CR 1304 were used. The traits evaluated were grain yield (YD), plant height (PH), stem diameter (SD), first fruiting branch height (BH), 1,000-seed weight (SW), and number of branches (NB). The correlations between traits were identified from the phenotypic covariance matrix through path analysis. Based on the joint analysis, the interaction of genotypes x years x locations was observed. Expressive genetic variability was verified for all evaluated traits, which allows gains to be made with the selection of genotypes. High broad-sense heritabilities based on plot means were verified for YD, BH, and SW (82, 84 and 77%, respectively), which indicates the possibility of directly selecting them. SW and SD showed the greatest direct effects and strongest correlations with YD.Crambe is an oilseed plant producing oil that can be used for various industrial purposes, including the production of biofuel. It is a short-cycle, non-food plant that can be grown as a second crop following soybean or corn crops and using the same agricultural machinery. This work aimed to estimate genetic parameters and correlations between traits of genotypes grown for two years in seven locations in two Brazilian states. The cultivar FMS Brilhante and the lines CR 1101, CR 1102, CR 1105, CR 1202, CR 1303, and CR 1304 were used. The traits evaluated were grain yield (YD), plant height (PH), stem diameter (SD), first fruiting branch height (BH), 1,000-seed weight (SW), and number of branches (NB). The correlations between traits were identified from the phenotypic covariance matrix through path analysis. Based on the joint analysis, the interaction of genotypes x years x locations was observed. Expressive genetic variability was verified for all evaluated traits, which allows gains to be made with the selection of genotypes. High broad-sense heritabilities based on plot means were verified for YD, BH, and SW (82, 84 and 77%, respectively), which indicates the possibility of directly selecting them. SW and SD showed the greatest direct effects and strongest correlations with YD.Universidade Estadual de Maringá2020-04-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4249010.4025/actasciagron.v42i1.42490Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42490Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e424901807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42490/751375149826Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessVasconcelos, Ubieli Alves Araújo Dias, Luiz Antônio dos Santos Corrêa, Thais Roseli Rosmaninho, Lucas Barbosa de CastroSilva, Dandara Rêgo Muniz da Zaidan, Iasmine Ramos2020-11-16T18:51:03Zoai:periodicos.uem.br/ojs:article/42490Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2020-11-16T18:51:03Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production |
title |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production |
spellingShingle |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production Vasconcelos, Ubieli Alves Araújo breeding; biofuels; oleaginous plants; brassicaceae breeding; biofuels; oleaginous plants; brassicaceae |
title_short |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production |
title_full |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production |
title_fullStr |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production |
title_full_unstemmed |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production |
title_sort |
Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production |
author |
Vasconcelos, Ubieli Alves Araújo |
author_facet |
Vasconcelos, Ubieli Alves Araújo Dias, Luiz Antônio dos Santos Corrêa, Thais Roseli Rosmaninho, Lucas Barbosa de Castro Silva, Dandara Rêgo Muniz da Zaidan, Iasmine Ramos |
author_role |
author |
author2 |
Dias, Luiz Antônio dos Santos Corrêa, Thais Roseli Rosmaninho, Lucas Barbosa de Castro Silva, Dandara Rêgo Muniz da Zaidan, Iasmine Ramos |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Vasconcelos, Ubieli Alves Araújo Dias, Luiz Antônio dos Santos Corrêa, Thais Roseli Rosmaninho, Lucas Barbosa de Castro Silva, Dandara Rêgo Muniz da Zaidan, Iasmine Ramos |
dc.subject.por.fl_str_mv |
breeding; biofuels; oleaginous plants; brassicaceae breeding; biofuels; oleaginous plants; brassicaceae |
topic |
breeding; biofuels; oleaginous plants; brassicaceae breeding; biofuels; oleaginous plants; brassicaceae |
description |
Crambe is an oilseed plant producing oil that can be used for various industrial purposes, including the production of biofuel. It is a short-cycle, non-food plant that can be grown as a second crop following soybean or corn crops and using the same agricultural machinery. This work aimed to estimate genetic parameters and correlations between traits of genotypes grown for two years in seven locations in two Brazilian states. The cultivar FMS Brilhante and the lines CR 1101, CR 1102, CR 1105, CR 1202, CR 1303, and CR 1304 were used. The traits evaluated were grain yield (YD), plant height (PH), stem diameter (SD), first fruiting branch height (BH), 1,000-seed weight (SW), and number of branches (NB). The correlations between traits were identified from the phenotypic covariance matrix through path analysis. Based on the joint analysis, the interaction of genotypes x years x locations was observed. Expressive genetic variability was verified for all evaluated traits, which allows gains to be made with the selection of genotypes. High broad-sense heritabilities based on plot means were verified for YD, BH, and SW (82, 84 and 77%, respectively), which indicates the possibility of directly selecting them. SW and SD showed the greatest direct effects and strongest correlations with YD. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-03 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42490 10.4025/actasciagron.v42i1.42490 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42490 |
identifier_str_mv |
10.4025/actasciagron.v42i1.42490 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42490/751375149826 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42490 Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e42490 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305910621831168 |