| |
|
|
| Registros recuperados : 2 | |
| 1. |  | OLIVEIRA, T. C. de; BARELLI, M. A. A.; SILVA, V. P. da; FELIPIN-AZEVEDO, R.; GONÇALVES, D. de L.; SANTOS, P. R. J. dos; POLETINE, J. P.; GALBIATI, C.; TARDIN, F. D. Correlations between characters and path analysis in sweet sorghum (Sorghum bicolor (L.) Moench) genotypes for juice production. Australian Journal of Crop Science, v. 15, n. 2, p. 290-296, 2021.| Biblioteca(s): Embrapa Milho e Sorgo. |
|    |
| 2. | | VENDRUSCOLO, T. P. S.; SILVA, V. P. da; FELIPIN-AZEVEDO, R.; SILVA, R. S. da; CASTRILLON, M. A. de S.; CORRÊA, C. L.; TARDIN, F. D.; BARELLI, M. A. A. Genetic divergence in biomass sorghum genotypes through agronomic and physicalchemical characters. Research, Society and Development, v. 9, n. 9, e552997536, 2020.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| Registros recuperados : 2 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Milho e Sorgo. |
|
Data corrente: |
30/09/2020 |
|
Data da última atualização: |
27/10/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 2 |
|
Autoria: |
VENDRUSCOLO, T. P. S.; SILVA, V. P. da; FELIPIN-AZEVEDO, R.; SILVA, R. S. da; CASTRILLON, M. A. de S.; CORRÊA, C. L.; TARDIN, F. D.; BARELLI, M. A. A. |
|
Afiliação: |
Taiana Paula Streck Vendruscolo, Universidade Estadual do Mato Grosso; Valvenarg Pereira da Silva, Universidade Estadual do Mato Grosso; Rafhael Felipin-Azevedo, Universidade Estadual do Mato Grosso; Raiane Scandiane da Silva, Universidade Estadual do Mato Grosso; Marcilene Alves de Souza Castrillon, Universidade Estadual do Mato Grosso; Carla Lima Corrêa, Universidade Estadual do Mato Grosso; FLAVIO DESSAUNE TARDIN, CNPMS; Marco Antonio Aparecido Barelli, Universidade Estadual do Mato Grosso. |
|
Título: |
Genetic divergence in biomass sorghum genotypes through agronomic and physicalchemical characters. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Research, Society and Development, v. 9, n. 9, e552997536, 2020. |
|
DOI: |
http://dx.doi.org/10.33448/rsd-v9i9.7536 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The present research aimed to evaluate the genetic divergence in 34 sorghum biomass genotypes via agronomic and physicochemical characters. The design used was randomized blocks with three replications. The agronomic and physical-chemical characteristics evaluated were: days for flowering, number of stems, plant height, number of leaves, green mass production, dry mass production, determination of total ash, determination of volatile content, insoluble lignin and determination of fixed carbon content. The data were submitted to analysis of variance and then, to estimate divergence,the generalized Mahalanobisdistance was used as a measure of dissimilarity. Based on this matrix, the methods of Tocher's optimization clusters and the Hierarchical method of Average Grouping Between Groups (UPGMA) were used, and analysis of canonical variables, and the projection based on the first two canonical variables arranged in two-dimensional space. Singh criterion was also used to quantify the relative contribution of these characteristics to genetic divergence. The evaluated genotypes showed significant differences for all the evaluated characteristics. The combination between the 201429B001 and 201429B028 (394.98) genotype pairs was the most divergent and the combination between the 201429B015 and 201429B031 (6.31) genotypes was the most similar. The grouping generated by the Tocher Optimization method, hierarchical UPGMA and graphical dispersion showed similarity in the grouping of genotypes. The first two canonical variables were sufficient to explain about 81.78% of the total variation observed. Theresults showed a wide genetic diversity among the 34 genotypes of sorghum biomass. MenosThe present research aimed to evaluate the genetic divergence in 34 sorghum biomass genotypes via agronomic and physicochemical characters. The design used was randomized blocks with three replications. The agronomic and physical-chemical characteristics evaluated were: days for flowering, number of stems, plant height, number of leaves, green mass production, dry mass production, determination of total ash, determination of volatile content, insoluble lignin and determination of fixed carbon content. The data were submitted to analysis of variance and then, to estimate divergence,the generalized Mahalanobisdistance was used as a measure of dissimilarity. Based on this matrix, the methods of Tocher's optimization clusters and the Hierarchical method of Average Grouping Between Groups (UPGMA) were used, and analysis of canonical variables, and the projection based on the first two canonical variables arranged in two-dimensional space. Singh criterion was also used to quantify the relative contribution of these characteristics to genetic divergence. The evaluated genotypes showed significant differences for all the evaluated characteristics. The combination between the 201429B001 and 201429B028 (394.98) genotype pairs was the most divergent and the combination between the 201429B015 and 201429B031 (6.31) genotypes was the most similar. The grouping generated by the Tocher Optimization method, hierarchical UPGMA and graphical dispersion showed similarity in the grouping of geno... Mostrar Tudo |
|
Palavras-Chave: |
Análise multivariada. |
|
Thesagro: |
Melhoramento Genético Vegetal; Sorghum Bicolor. |
|
Categoria do assunto: |
-- |
|
URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1125197/1/Genetic-divergence.pdf
|
|
Marc: |
LEADER 02529naa a2200253 a 4500
001 2125197
005 2020-10-27
008 2020 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.33448/rsd-v9i9.7536$2DOI
100 1 $aVENDRUSCOLO, T. P. S.
245 $aGenetic divergence in biomass sorghum genotypes through agronomic and physicalchemical characters.$h[electronic resource]
260 $c2020
520 $aThe present research aimed to evaluate the genetic divergence in 34 sorghum biomass genotypes via agronomic and physicochemical characters. The design used was randomized blocks with three replications. The agronomic and physical-chemical characteristics evaluated were: days for flowering, number of stems, plant height, number of leaves, green mass production, dry mass production, determination of total ash, determination of volatile content, insoluble lignin and determination of fixed carbon content. The data were submitted to analysis of variance and then, to estimate divergence,the generalized Mahalanobisdistance was used as a measure of dissimilarity. Based on this matrix, the methods of Tocher's optimization clusters and the Hierarchical method of Average Grouping Between Groups (UPGMA) were used, and analysis of canonical variables, and the projection based on the first two canonical variables arranged in two-dimensional space. Singh criterion was also used to quantify the relative contribution of these characteristics to genetic divergence. The evaluated genotypes showed significant differences for all the evaluated characteristics. The combination between the 201429B001 and 201429B028 (394.98) genotype pairs was the most divergent and the combination between the 201429B015 and 201429B031 (6.31) genotypes was the most similar. The grouping generated by the Tocher Optimization method, hierarchical UPGMA and graphical dispersion showed similarity in the grouping of genotypes. The first two canonical variables were sufficient to explain about 81.78% of the total variation observed. Theresults showed a wide genetic diversity among the 34 genotypes of sorghum biomass.
650 $aMelhoramento Genético Vegetal
650 $aSorghum Bicolor
653 $aAnálise multivariada
700 1 $aSILVA, V. P. da
700 1 $aFELIPIN-AZEVEDO, R.
700 1 $aSILVA, R. S. da
700 1 $aCASTRILLON, M. A. de S.
700 1 $aCORRÊA, C. L.
700 1 $aTARDIN, F. D.
700 1 $aBARELLI, M. A. A.
773 $tResearch, Society and Development$gv. 9, n. 9, e552997536, 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. |
|
|
