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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Milho e Sorgo. |
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Data corrente: |
17/12/2021 |
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Data da última atualização: |
21/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VIDAL, A. K. F.; DAHER, R. F.; ANDRADE, E. K. V. de; FREITAS, R. S.; STIDA, W. F.; AMARAL JÚNIOR, A. T. do; MENEZES, B. R. da S.; PEREIRA, A. V.; SILVA, V. B. da; TARDIN, F. D.; OLIVEIRA, L. J. da S. de. |
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Afiliação: |
Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Federal Rural do Rio de Janeiro; ANTONIO VANDER PEREIRA, CNPGL; Universidade Estadual do Norte Fluminense Darcy Ribeiro; FLAVIO DESSAUNE TARDIN, CNPMS; Universidade Estadual do Norte Fluminense Darcy Ribeiro. |
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Título: |
Estimate of genetic diversity in germplasm of elephant grass accessions in Brazil using the Gower algorithm. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 20, n. 4, gmr18944, 2021. |
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DOI: |
http://dx.doi.org/10.4238/gmr18944 |
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Idioma: |
Inglês |
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Conteúdo: |
Management of variability in germplasm banks is essential for genetic improvement, so that the breeder can estimate the genetic similarity between cultivars, as well as maintain genetic diversity in breeding programs. Elephant grass is a forage crop plant native to Africa of great socio-economic and environmental importance; it can be used for animal feed and for bioenergy production. Understanding the genetic variability of elephant grass is essential for breeding programs. In this context, we examined the genetic divergence of elephant grass accessions using the Gower algorithm. The experiment was conducted under field conditions in the municipality of Campos dos Goytacazes-RJ, Brazil. All 85 elephant grass accessions belonging to the Active Elephant Grass Germplasm Bank of Embrapa Gado de Leite were included. These genotypes are commercial varieties from various countries. They were evaluated for morphoagronomic, morphological and phenological characteristics. The experimental design was randomized blocks with two repetitions. The plots were composed of 5.5-meter rows, with 2.0-meter spacing between the planting rows, totaling 11.0 m2 . The useful area was a sample in the center of the plot. We generated an illustrative dendrogram, obtained by the UPGMA method and the Tocher clustering, based on the Gower algorithm. Data were examined by means of the GENES statistical programs and the R program. According to the dissimilarity matrices based on the Gower algorithm, the genetic distances varied between 0.08 and 0.56, and the mean distance of the 85 evaluated accessions was 0.25, suggesting, consequently, that there is wide genetic variability between the accessions. Of the 85 genotypes, seven presented genetic distances smaller than 0.1, being indicative of duplicates in the germplasm bank, which could be eliminated without risk of loss of genetic variability. MenosManagement of variability in germplasm banks is essential for genetic improvement, so that the breeder can estimate the genetic similarity between cultivars, as well as maintain genetic diversity in breeding programs. Elephant grass is a forage crop plant native to Africa of great socio-economic and environmental importance; it can be used for animal feed and for bioenergy production. Understanding the genetic variability of elephant grass is essential for breeding programs. In this context, we examined the genetic divergence of elephant grass accessions using the Gower algorithm. The experiment was conducted under field conditions in the municipality of Campos dos Goytacazes-RJ, Brazil. All 85 elephant grass accessions belonging to the Active Elephant Grass Germplasm Bank of Embrapa Gado de Leite were included. These genotypes are commercial varieties from various countries. They were evaluated for morphoagronomic, morphological and phenological characteristics. The experimental design was randomized blocks with two repetitions. The plots were composed of 5.5-meter rows, with 2.0-meter spacing between the planting rows, totaling 11.0 m2 . The useful area was a sample in the center of the plot. We generated an illustrative dendrogram, obtained by the UPGMA method and the Tocher clustering, based on the Gower algorithm. Data were examined by means of the GENES statistical programs and the R program. According to the dissimilarity matrices based on the Gower algorithm, the gen... Mostrar Tudo |
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Palavras-Chave: |
Análise de agrupamento; Cenchrus purpureus; Clustering analysis; Diversidade genética. |
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Thesagro: |
Capim Elefante; Germoplasma; Variação Genética. |
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Thesaurus Nal: |
Germplasm; Multivariate analysis. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229453/1/Estimate-genetic.pdf
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Marc: |
LEADER 03014naa a2200361 a 4500
001 2138016
005 2021-12-21
008 2021 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr18944$2DOI
100 1 $aVIDAL, A. K. F.
245 $aEstimate of genetic diversity in germplasm of elephant grass accessions in Brazil using the Gower algorithm.$h[electronic resource]
260 $c2021
520 $aManagement of variability in germplasm banks is essential for genetic improvement, so that the breeder can estimate the genetic similarity between cultivars, as well as maintain genetic diversity in breeding programs. Elephant grass is a forage crop plant native to Africa of great socio-economic and environmental importance; it can be used for animal feed and for bioenergy production. Understanding the genetic variability of elephant grass is essential for breeding programs. In this context, we examined the genetic divergence of elephant grass accessions using the Gower algorithm. The experiment was conducted under field conditions in the municipality of Campos dos Goytacazes-RJ, Brazil. All 85 elephant grass accessions belonging to the Active Elephant Grass Germplasm Bank of Embrapa Gado de Leite were included. These genotypes are commercial varieties from various countries. They were evaluated for morphoagronomic, morphological and phenological characteristics. The experimental design was randomized blocks with two repetitions. The plots were composed of 5.5-meter rows, with 2.0-meter spacing between the planting rows, totaling 11.0 m2 . The useful area was a sample in the center of the plot. We generated an illustrative dendrogram, obtained by the UPGMA method and the Tocher clustering, based on the Gower algorithm. Data were examined by means of the GENES statistical programs and the R program. According to the dissimilarity matrices based on the Gower algorithm, the genetic distances varied between 0.08 and 0.56, and the mean distance of the 85 evaluated accessions was 0.25, suggesting, consequently, that there is wide genetic variability between the accessions. Of the 85 genotypes, seven presented genetic distances smaller than 0.1, being indicative of duplicates in the germplasm bank, which could be eliminated without risk of loss of genetic variability.
650 $aGermplasm
650 $aMultivariate analysis
650 $aCapim Elefante
650 $aGermoplasma
650 $aVariação Genética
653 $aAnálise de agrupamento
653 $aCenchrus purpureus
653 $aClustering analysis
653 $aDiversidade genética
700 1 $aDAHER, R. F.
700 1 $aANDRADE, E. K. V. de
700 1 $aFREITAS, R. S.
700 1 $aSTIDA, W. F.
700 1 $aAMARAL JÚNIOR, A. T. do
700 1 $aMENEZES, B. R. da S.
700 1 $aPEREIRA, A. V.
700 1 $aSILVA, V. B. da
700 1 $aTARDIN, F. D.
700 1 $aOLIVEIRA, L. J. da S. de
773 $tGenetics and Molecular Research$gv. 20, n. 4, gmr18944, 2021.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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| 1. |  | VIDAL, A. K. F.; DAHER, R. F.; ANDRADE, E. K. V. de; FREITAS, R. S.; STIDA, W. F.; AMARAL JÚNIOR, A. T. do; MENEZES, B. R. da S.; PEREIRA, A. V.; SILVA, V. B. da; TARDIN, F. D.; OLIVEIRA, L. J. da S. de. Estimate of genetic diversity in germplasm of elephant grass accessions in Brazil using the Gower algorithm. Genetics and Molecular Research, v. 20, n. 4, gmr18944, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite; Embrapa Milho e Sorgo. |
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