Association among agro-industrial traits and simultaneous selection in sweet sorghum.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1074513 |
Resumo: | Sweet sorghum has emerged as an alternative crop for ethanol yield. The breeding of this crop is performed to obtain cultivars with high ethanol yield, which necessarily requires associating favorable phenotypes for multiple traits. Therefore, the aims of this study were to investigate the association between agro-industrial traits related to ethanol yield and identify the promising genotypes considering multiple traits in sweet sorghum. For this purpose, we evaluated 45 genotypes using a 9 x 5 alpha-lattice experimental design with three replications. The traits measured were flowering time, plant height, tons of stalk per hectare, total soluble solids, tons of brix per hectare, juice extraction, total recoverable sugars, and ethanol yield. Analyses were performed after the recovery of inter-block information. The interrelation of the traits was described by genotype-by-trait biplot. For simultaneous selection, the Modified Mulamba and Mock index was used. For almost all of the agro-industrial traits, except for juice extraction, selective accuracy was above 70%. There were significant differences among genotypes for all the traits. The genotype-by-trait biplot evidenced a positive association between most of the traits related to ethanol yield, except for juice extraction, indicating the possibility of indirect selection to obtain more productive genotypes. Some genotypes proved to be promising based on the selection index, as they accumulated phenotypes favorable for the traits of interest. |
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Association among agro-industrial traits and simultaneous selection in sweet sorghum.Sorgo açucareiroEtanolSweet sorghum has emerged as an alternative crop for ethanol yield. The breeding of this crop is performed to obtain cultivars with high ethanol yield, which necessarily requires associating favorable phenotypes for multiple traits. Therefore, the aims of this study were to investigate the association between agro-industrial traits related to ethanol yield and identify the promising genotypes considering multiple traits in sweet sorghum. For this purpose, we evaluated 45 genotypes using a 9 x 5 alpha-lattice experimental design with three replications. The traits measured were flowering time, plant height, tons of stalk per hectare, total soluble solids, tons of brix per hectare, juice extraction, total recoverable sugars, and ethanol yield. Analyses were performed after the recovery of inter-block information. The interrelation of the traits was described by genotype-by-trait biplot. For simultaneous selection, the Modified Mulamba and Mock index was used. For almost all of the agro-industrial traits, except for juice extraction, selective accuracy was above 70%. There were significant differences among genotypes for all the traits. The genotype-by-trait biplot evidenced a positive association between most of the traits related to ethanol yield, except for juice extraction, indicating the possibility of indirect selection to obtain more productive genotypes. Some genotypes proved to be promising based on the selection index, as they accumulated phenotypes favorable for the traits of interest.Universidade Federal de Lavras; Universidade Federal de Lavras; Universidade Federal de Lavras; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; Universidade Federal de Lavras.LEITE, P. S. S.FAGUNDES, T. G.NUNES, J. A. R.PARRELLA, R. A. C.DURÃES, N. L. L.BRUZI, A. T.2017-09-02T06:12:24Z2017-09-02T06:12:24Z2017-08-2820172017-09-25T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Research, Ribeirão Preto, v. 16, n. 1, p. 1-10, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/107451310.4238/gmr16019318enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-09-12T07:33:48Zoai:www.alice.cnptia.embrapa.br:doc/1074513Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-09-12T07:33:48falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-09-12T07:33:48Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. |
title |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. |
spellingShingle |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. LEITE, P. S. S. Sorgo açucareiro Etanol |
title_short |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. |
title_full |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. |
title_fullStr |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. |
title_full_unstemmed |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. |
title_sort |
Association among agro-industrial traits and simultaneous selection in sweet sorghum. |
author |
LEITE, P. S. S. |
author_facet |
LEITE, P. S. S. FAGUNDES, T. G. NUNES, J. A. R. PARRELLA, R. A. C. DURÃES, N. L. L. BRUZI, A. T. |
author_role |
author |
author2 |
FAGUNDES, T. G. NUNES, J. A. R. PARRELLA, R. A. C. DURÃES, N. L. L. BRUZI, A. T. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Lavras; Universidade Federal de Lavras; Universidade Federal de Lavras; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; Universidade Federal de Lavras. |
dc.contributor.author.fl_str_mv |
LEITE, P. S. S. FAGUNDES, T. G. NUNES, J. A. R. PARRELLA, R. A. C. DURÃES, N. L. L. BRUZI, A. T. |
dc.subject.por.fl_str_mv |
Sorgo açucareiro Etanol |
topic |
Sorgo açucareiro Etanol |
description |
Sweet sorghum has emerged as an alternative crop for ethanol yield. The breeding of this crop is performed to obtain cultivars with high ethanol yield, which necessarily requires associating favorable phenotypes for multiple traits. Therefore, the aims of this study were to investigate the association between agro-industrial traits related to ethanol yield and identify the promising genotypes considering multiple traits in sweet sorghum. For this purpose, we evaluated 45 genotypes using a 9 x 5 alpha-lattice experimental design with three replications. The traits measured were flowering time, plant height, tons of stalk per hectare, total soluble solids, tons of brix per hectare, juice extraction, total recoverable sugars, and ethanol yield. Analyses were performed after the recovery of inter-block information. The interrelation of the traits was described by genotype-by-trait biplot. For simultaneous selection, the Modified Mulamba and Mock index was used. For almost all of the agro-industrial traits, except for juice extraction, selective accuracy was above 70%. There were significant differences among genotypes for all the traits. The genotype-by-trait biplot evidenced a positive association between most of the traits related to ethanol yield, except for juice extraction, indicating the possibility of indirect selection to obtain more productive genotypes. Some genotypes proved to be promising based on the selection index, as they accumulated phenotypes favorable for the traits of interest. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-02T06:12:24Z 2017-09-02T06:12:24Z 2017-08-28 2017 2017-09-25T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Genetics and Molecular Research, Ribeirão Preto, v. 16, n. 1, p. 1-10, 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1074513 10.4238/gmr16019318 |
identifier_str_mv |
Genetics and Molecular Research, Ribeirão Preto, v. 16, n. 1, p. 1-10, 2017. 10.4238/gmr16019318 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1074513 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503441602576384 |