Diversity among elephant grass genotypes using Bayesian multi-trait model
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | http://dx.doi.org/10.4238/gmr16039803 http://www.locus.ufv.br/handle/123456789/16503 |
Resumo: | Elephant grass is a perennial tropical grass with great potential for energy generation from biomass. The objective of this study was to estimate the genetic diversity among elephant grass accessions based on morpho-agronomic and biomass quality traits and to identify promising genotypes for obtaining hybrids with high energetic biomass production capacity. The experiment was installed at experimental area of the State Agricultural College Antônio Sarlo, in Campos dos Goytacazes. Fifty-two elephant grass genotypes were evaluated in a randomized block design with two replicates. Components of variance and the genotypic means were obtained using a Bayesian multi-trait model. We considered 350,000 iterations in the Gibbs sampler algorithm for each parameter adopted, with a warm-up period (burn-in) of 50,000 Iterations. For obtaining an uncorrelated sample, we considered five iterations (thinning) as a spacing between sampled points, which resulted in a final sample size 60,000. Subsequently, the Mahalanobis distance between each pair of genotypes was estimated. Estimates of genotypic variance indicated a favorable condition for gains in all traits. Elephant grass accessions presented greater variability for biomass quality traits, for which three groups were formed, while for the agronomic traits, two groups were formed. Crosses between Mercker Pinda México x Mercker 86-México, Mercker Pinda México x Turrialba, and Mercker 86-México x Taiwan A-25 can be carried out for obtaining elephant grass hybrids for energy purposes. |
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Diversity among elephant grass genotypes using Bayesian multi-trait modelPennisetum purpureumBiomass productionBioenergyBiomass qualityElephant grass is a perennial tropical grass with great potential for energy generation from biomass. The objective of this study was to estimate the genetic diversity among elephant grass accessions based on morpho-agronomic and biomass quality traits and to identify promising genotypes for obtaining hybrids with high energetic biomass production capacity. The experiment was installed at experimental area of the State Agricultural College Antônio Sarlo, in Campos dos Goytacazes. Fifty-two elephant grass genotypes were evaluated in a randomized block design with two replicates. Components of variance and the genotypic means were obtained using a Bayesian multi-trait model. We considered 350,000 iterations in the Gibbs sampler algorithm for each parameter adopted, with a warm-up period (burn-in) of 50,000 Iterations. For obtaining an uncorrelated sample, we considered five iterations (thinning) as a spacing between sampled points, which resulted in a final sample size 60,000. Subsequently, the Mahalanobis distance between each pair of genotypes was estimated. Estimates of genotypic variance indicated a favorable condition for gains in all traits. Elephant grass accessions presented greater variability for biomass quality traits, for which three groups were formed, while for the agronomic traits, two groups were formed. Crosses between Mercker Pinda México x Mercker 86-México, Mercker Pinda México x Turrialba, and Mercker 86-México x Taiwan A-25 can be carried out for obtaining elephant grass hybrids for energy purposes.Genetics and Molecular Research2018-01-18T16:00:00Z2018-01-18T16:00:00Z2017-09-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf16765680http://dx.doi.org/10.4238/gmr16039803http://www.locus.ufv.br/handle/123456789/16503eng16 (3), gmr16039803, Sep. 2017Rossi, D.A.Daher, R.F.Barbé, T.C.Lima, R.S.N.Costa, A.F.Ribeiro, L.P.Teodoro, P.E.Bhering, L.L.info:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T07:58:47Zoai:locus.ufv.br:123456789/16503Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T07:58:47LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Diversity among elephant grass genotypes using Bayesian multi-trait model |
title |
Diversity among elephant grass genotypes using Bayesian multi-trait model |
spellingShingle |
Diversity among elephant grass genotypes using Bayesian multi-trait model Rossi, D.A. Pennisetum purpureum Biomass production Bioenergy Biomass quality |
title_short |
Diversity among elephant grass genotypes using Bayesian multi-trait model |
title_full |
Diversity among elephant grass genotypes using Bayesian multi-trait model |
title_fullStr |
Diversity among elephant grass genotypes using Bayesian multi-trait model |
title_full_unstemmed |
Diversity among elephant grass genotypes using Bayesian multi-trait model |
title_sort |
Diversity among elephant grass genotypes using Bayesian multi-trait model |
author |
Rossi, D.A. |
author_facet |
Rossi, D.A. Daher, R.F. Barbé, T.C. Lima, R.S.N. Costa, A.F. Ribeiro, L.P. Teodoro, P.E. Bhering, L.L. |
author_role |
author |
author2 |
Daher, R.F. Barbé, T.C. Lima, R.S.N. Costa, A.F. Ribeiro, L.P. Teodoro, P.E. Bhering, L.L. |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Rossi, D.A. Daher, R.F. Barbé, T.C. Lima, R.S.N. Costa, A.F. Ribeiro, L.P. Teodoro, P.E. Bhering, L.L. |
dc.subject.por.fl_str_mv |
Pennisetum purpureum Biomass production Bioenergy Biomass quality |
topic |
Pennisetum purpureum Biomass production Bioenergy Biomass quality |
description |
Elephant grass is a perennial tropical grass with great potential for energy generation from biomass. The objective of this study was to estimate the genetic diversity among elephant grass accessions based on morpho-agronomic and biomass quality traits and to identify promising genotypes for obtaining hybrids with high energetic biomass production capacity. The experiment was installed at experimental area of the State Agricultural College Antônio Sarlo, in Campos dos Goytacazes. Fifty-two elephant grass genotypes were evaluated in a randomized block design with two replicates. Components of variance and the genotypic means were obtained using a Bayesian multi-trait model. We considered 350,000 iterations in the Gibbs sampler algorithm for each parameter adopted, with a warm-up period (burn-in) of 50,000 Iterations. For obtaining an uncorrelated sample, we considered five iterations (thinning) as a spacing between sampled points, which resulted in a final sample size 60,000. Subsequently, the Mahalanobis distance between each pair of genotypes was estimated. Estimates of genotypic variance indicated a favorable condition for gains in all traits. Elephant grass accessions presented greater variability for biomass quality traits, for which three groups were formed, while for the agronomic traits, two groups were formed. Crosses between Mercker Pinda México x Mercker 86-México, Mercker Pinda México x Turrialba, and Mercker 86-México x Taiwan A-25 can be carried out for obtaining elephant grass hybrids for energy purposes. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-27 2018-01-18T16:00:00Z 2018-01-18T16:00:00Z |
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 |
16765680 http://dx.doi.org/10.4238/gmr16039803 http://www.locus.ufv.br/handle/123456789/16503 |
identifier_str_mv |
16765680 |
url |
http://dx.doi.org/10.4238/gmr16039803 http://www.locus.ufv.br/handle/123456789/16503 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
16 (3), gmr16039803, Sep. 2017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
pdf application/pdf |
dc.publisher.none.fl_str_mv |
Genetics and Molecular Research |
publisher.none.fl_str_mv |
Genetics and Molecular Research |
dc.source.none.fl_str_mv |
reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
LOCUS Repositório Institucional da UFV |
collection |
LOCUS Repositório Institucional da UFV |
repository.name.fl_str_mv |
LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
fabiojreis@ufv.br |
_version_ |
1817559977038970880 |