Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bragantia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000300346 |
Resumo: | ABSTRACT Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding. |
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Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population sizeJatropha curcas L.plant breedingmixed modelsgenetic diversityABSTRACT Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding.Instituto Agronômico de Campinas2020-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000300346Bragantia v.79 n.3 2020reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20200046info:eu-repo/semantics/openAccessRodrigues,Erina VitórioRocha,João Romero do Amaral Santos de CarvalhoAlves,Rodrigo SilvaTeodoro,Paulo EduardoLaviola,Bruno GalvêasResende,Marcos Deon Vilela deCarneiro,Pedro Crescêncio SouzaBhering,Leonardo Lopeseng2020-08-31T00:00:00Zoai:scielo:S0006-87052020000300346Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2020-08-31T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false |
dc.title.none.fl_str_mv |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size |
title |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size |
spellingShingle |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size Rodrigues,Erina Vitório Jatropha curcas L. plant breeding mixed models genetic diversity |
title_short |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size |
title_full |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size |
title_fullStr |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size |
title_full_unstemmed |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size |
title_sort |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size |
author |
Rodrigues,Erina Vitório |
author_facet |
Rodrigues,Erina Vitório Rocha,João Romero do Amaral Santos de Carvalho Alves,Rodrigo Silva Teodoro,Paulo Eduardo Laviola,Bruno Galvêas Resende,Marcos Deon Vilela de Carneiro,Pedro Crescêncio Souza Bhering,Leonardo Lopes |
author_role |
author |
author2 |
Rocha,João Romero do Amaral Santos de Carvalho Alves,Rodrigo Silva Teodoro,Paulo Eduardo Laviola,Bruno Galvêas Resende,Marcos Deon Vilela de Carneiro,Pedro Crescêncio Souza Bhering,Leonardo Lopes |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Rodrigues,Erina Vitório Rocha,João Romero do Amaral Santos de Carvalho Alves,Rodrigo Silva Teodoro,Paulo Eduardo Laviola,Bruno Galvêas Resende,Marcos Deon Vilela de Carneiro,Pedro Crescêncio Souza Bhering,Leonardo Lopes |
dc.subject.por.fl_str_mv |
Jatropha curcas L. plant breeding mixed models genetic diversity |
topic |
Jatropha curcas L. plant breeding mixed models genetic diversity |
description |
ABSTRACT Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-01 |
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=S0006-87052020000300346 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000300346 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4499.20200046 |
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 |
Instituto Agronômico de Campinas |
publisher.none.fl_str_mv |
Instituto Agronômico de Campinas |
dc.source.none.fl_str_mv |
Bragantia v.79 n.3 2020 reponame:Bragantia instname:Instituto Agronômico de Campinas (IAC) instacron:IAC |
instname_str |
Instituto Agronômico de Campinas (IAC) |
instacron_str |
IAC |
institution |
IAC |
reponame_str |
Bragantia |
collection |
Bragantia |
repository.name.fl_str_mv |
Bragantia - Instituto Agronômico de Campinas (IAC) |
repository.mail.fl_str_mv |
bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br |
_version_ |
1754193307859156992 |