| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
04/03/2008 |
|
Data da última atualização: |
16/01/2020 |
|
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
|
Autoria: |
MOURA, M. F.; REZENDE, S. O. |
|
Afiliação: |
MARIA FERNANDA MOURA, CNPTIA; SOLANGE OLIVEIRA REZENDE, USP. |
|
Título: |
Choosing a hierarchical cluster labelling method for a specific domain document collection. |
|
Ano de publicação: |
2007 |
|
Fonte/Imprenta: |
In: NEVES, J. M.; SANTOS, M. F.; MACHADO, J. M. (Ed.). New triends in artificial intelligence. Braga: Tipografia Tadinense, 2007. |
|
Páginas: |
p. 812-823. |
|
Idioma: |
Inglês |
|
Conteúdo: |
One of the problems in automatic models to generate topic taxonomies is the process of creating the most significant word list that discriminates each document group. In this paper, some methods are proposed to discover these lists from hierarchical document groups, as well as the use os some classical methods for this task. The use of the methods was experimented by some domain specialists, trying to find a solution that could satisfy their expectations. |
|
Palavras-Chave: |
Cluster labelling; Clusterização; Documento hierárquico; Domain taxonomy; Hierarchical documento clustering; Topic taxonomy. |
|
Thesagro: |
Taxonomia. |
|
Thesaurus Nal: |
Cluster analysis; Taxonomy. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 01286naa a2200253 a 4500
001 1005900
005 2020-01-16
008 2007 bl uuuu u00u1 u #d
100 1 $aMOURA, M. F.
245 $aChoosing a hierarchical cluster labelling method for a specific domain document collection.$h[electronic resource]
260 $c2007
300 $ap. 812-823.
520 $aOne of the problems in automatic models to generate topic taxonomies is the process of creating the most significant word list that discriminates each document group. In this paper, some methods are proposed to discover these lists from hierarchical document groups, as well as the use os some classical methods for this task. The use of the methods was experimented by some domain specialists, trying to find a solution that could satisfy their expectations.
650 $aCluster analysis
650 $aTaxonomy
650 $aTaxonomia
653 $aCluster labelling
653 $aClusterização
653 $aDocumento hierárquico
653 $aDomain taxonomy
653 $aHierarchical documento clustering
653 $aTopic taxonomy
700 1 $aREZENDE, S. O.
773 $tIn: NEVES, J. M.; SANTOS, M. F.; MACHADO, J. M. (Ed.). New triends in artificial intelligence. Braga: Tipografia Tadinense, 2007.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Milho e Sorgo. |
|
Data corrente: |
10/12/2019 |
|
Data da última atualização: |
07/04/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
LEITE, P. S. da S.; BOTELHO, T. A.; RIBEIRO, P. C. de O.; SCHAFFERT, R. E.; PARRELLA, R. A. da C.; NUNES, J. A. R. |
|
Afiliação: |
Pakizza Sherma da Silva Leite, Universidade Federal de Lavras; Thiago Tavares Botelho, Universidade Federal de Lavras; Pedro César de Oliveira Ribeiro, Universidade Federal de Viçosa; ROBERT EUGENE SCHAFFERT, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; José Airton Rodrigues Nunes, Universidade Federal de Lavras. |
|
Título: |
Intrapopulation recurrent selection in sweet sorghum for improving sugar yield. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Industrial Crops and Products, v. 143, article 111910, 2020. |
|
DOI: |
10.1016/j.indcrop.2019.111910 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Sweet sorghum [Sorghum bicolor (L.) Moench] accumulates fermentable sugars in the stalk making this crop an important bioenergy feedstock. The objectives of this study were to implement an intrapopulation recurrent selection program to increase the sugar yield in sweet sorghum [Sorghumbicolor(L.)Moench]andtoestimatethe genetic progress after a recurrent selection cycle for the main agro-industrial traits of interest. The base population for cycle 0 (C0) was developed from 15 fertility restorer lines using a genetic male-sterile source to promote recombination. A total of 196 half-sib progeny from C0 were evaluated in experiments with a 14×14 lattice design in the 2016?2017 season. The following traits were evaluated: days to flowering (DF), plant height (PH), fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). Data were analyzed using the mixed model approach. Genetic variation was observed among the C0 half-sib progeny for all of the agro-industrial traits studied. The 40 best progeny were selected based on the best linear unbiased predictions (BLUPs) for TBH, which were then recombined to form the base population for cycle 1 (C1). Subsequently, 40 half-sib progeny from each cycle (C0 and C1) were randomly selected and evaluated in experiments with a 9×9 lattice design to estimate the genetic progress for DF, PH, FBY, TSS and TBH traits. The genetic progress was significant, with increases of 3.73% for PH, 8.04% for FBY, and 8.65% for TBH, demonstrating the eficiency of the intrapopulation recurrent selection program used. MenosSweet sorghum [Sorghum bicolor (L.) Moench] accumulates fermentable sugars in the stalk making this crop an important bioenergy feedstock. The objectives of this study were to implement an intrapopulation recurrent selection program to increase the sugar yield in sweet sorghum [Sorghumbicolor(L.)Moench]andtoestimatethe genetic progress after a recurrent selection cycle for the main agro-industrial traits of interest. The base population for cycle 0 (C0) was developed from 15 fertility restorer lines using a genetic male-sterile source to promote recombination. A total of 196 half-sib progeny from C0 were evaluated in experiments with a 14×14 lattice design in the 2016?2017 season. The following traits were evaluated: days to flowering (DF), plant height (PH), fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). Data were analyzed using the mixed model approach. Genetic variation was observed among the C0 half-sib progeny for all of the agro-industrial traits studied. The 40 best progeny were selected based on the best linear unbiased predictions (BLUPs) for TBH, which were then recombined to form the base population for cycle 1 (C1). Subsequently, 40 half-sib progeny from each cycle (C0 and C1) were randomly selected and evaluated in experiments with a 9×9 lattice design to estimate the genetic progress for DF, PH, FBY, TSS and TBH traits. The genetic progress was significant, with increases of 3.73% for PH, 8.04% for FBY, and 8.6... Mostrar Tudo |
|
Palavras-Chave: |
Esterilidade genética masculina; Progresso genético; Prole de meio irmão. |
|
Thesagro: |
Sorghum Bicolor; Sorgo. |
|
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
Marc: |
LEADER 02386naa a2200253 a 4500
001 2116511
005 2020-04-07
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1016/j.indcrop.2019.111910$2DOI
100 1 $aLEITE, P. S. da S.
245 $aIntrapopulation recurrent selection in sweet sorghum for improving sugar yield.$h[electronic resource]
260 $c2020
520 $aSweet sorghum [Sorghum bicolor (L.) Moench] accumulates fermentable sugars in the stalk making this crop an important bioenergy feedstock. The objectives of this study were to implement an intrapopulation recurrent selection program to increase the sugar yield in sweet sorghum [Sorghumbicolor(L.)Moench]andtoestimatethe genetic progress after a recurrent selection cycle for the main agro-industrial traits of interest. The base population for cycle 0 (C0) was developed from 15 fertility restorer lines using a genetic male-sterile source to promote recombination. A total of 196 half-sib progeny from C0 were evaluated in experiments with a 14×14 lattice design in the 2016?2017 season. The following traits were evaluated: days to flowering (DF), plant height (PH), fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). Data were analyzed using the mixed model approach. Genetic variation was observed among the C0 half-sib progeny for all of the agro-industrial traits studied. The 40 best progeny were selected based on the best linear unbiased predictions (BLUPs) for TBH, which were then recombined to form the base population for cycle 1 (C1). Subsequently, 40 half-sib progeny from each cycle (C0 and C1) were randomly selected and evaluated in experiments with a 9×9 lattice design to estimate the genetic progress for DF, PH, FBY, TSS and TBH traits. The genetic progress was significant, with increases of 3.73% for PH, 8.04% for FBY, and 8.65% for TBH, demonstrating the eficiency of the intrapopulation recurrent selection program used.
650 $aSorghum Bicolor
650 $aSorgo
653 $aEsterilidade genética masculina
653 $aProgresso genético
653 $aProle de meio irmão
700 1 $aBOTELHO, T. A.
700 1 $aRIBEIRO, P. C. de O.
700 1 $aSCHAFFERT, R. E.
700 1 $aPARRELLA, R. A. da C.
700 1 $aNUNES, J. A. R.
773 $tIndustrial Crops and Products$gv. 143, article 111910, 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
