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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
26/01/2022 |
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Data da última atualização: |
26/01/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERNANDES, E. da C.; DIAS, L. A. dos S.; CAIXETA, E. T.; CORRÊA, T. R.; MUNIZ, D. R.; ALMEIDA, O. F. de. |
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Afiliação: |
ERIKA DA COSTA FERNANDES, UFV; LUIZ ANTÔNIO DOS SANTOS DIAS, UFV; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; THAIS ROSELI CORRÊA, UNIVERSIDADE ESTADUAL DO MARANHÃO; DANDARA REGO MUNIZ, UFV; ODIMAR FERREIRA DE ALMEIDA, UFV. |
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Título: |
Wide genetic variability within and among families in a germplasm collection of jatropha curcas l. as revealed by microsatellite markers. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Functional Plant Breeding Journal, v. 3, n. 1, 2021. |
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DOI: |
http://dx.doi.org/10.35418/2526-4117/v3n1a4 |
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Idioma: |
Inglês |
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Conteúdo: |
J. curcas is a species with wide potential for biofuel production. However, there are few breeding programs and little information on its genetic structure. Studies indicate that the species has narrow genetic variability. We quantify genetic variability, and decomposing it within and among 28 families of a genebank by means of microsatellite markers. Thirty-nine pairs of primers were tested, of which six were polymorphic for a total of 18 alleles, with a mean of three alleles/locus. These six markers allowed genetic variability to be estimated within and among the families through estimates of PIC (0.36), expected (He=0.44) and observed (Ho=0.48) heterozygosity, inbreeding coefficient (f=-0.03), Shannon-Wiener index (H?=0.71), and the formation of 11 clusters. Bayesian analysis classified the families in four groups. The present study was the first to portray the formation of four groups and detect high genetic variability using only accessions from outside the main center of diversity of the species. Analysis of molecular variance showed that most of the variability (92.4%) is contained within families. There was low differentiation among the families (FST=0.07). Collection of genotypes within families should be prioritized because they are where greater variability is concentrated. This strategy was used in setting up the present genebank, which prioritized the collection of more plants per family, efficiently bringing together greater variability. For the first time, the diversity statistics revealed high genetic variability to be exploited in this collection, on the contrary to most studies with J. curcas that have claimed low genetic diversity in the species. MenosJ. curcas is a species with wide potential for biofuel production. However, there are few breeding programs and little information on its genetic structure. Studies indicate that the species has narrow genetic variability. We quantify genetic variability, and decomposing it within and among 28 families of a genebank by means of microsatellite markers. Thirty-nine pairs of primers were tested, of which six were polymorphic for a total of 18 alleles, with a mean of three alleles/locus. These six markers allowed genetic variability to be estimated within and among the families through estimates of PIC (0.36), expected (He=0.44) and observed (Ho=0.48) heterozygosity, inbreeding coefficient (f=-0.03), Shannon-Wiener index (H?=0.71), and the formation of 11 clusters. Bayesian analysis classified the families in four groups. The present study was the first to portray the formation of four groups and detect high genetic variability using only accessions from outside the main center of diversity of the species. Analysis of molecular variance showed that most of the variability (92.4%) is contained within families. There was low differentiation among the families (FST=0.07). Collection of genotypes within families should be prioritized because they are where greater variability is concentrated. This strategy was used in setting up the present genebank, which prioritized the collection of more plants per family, efficiently bringing together greater variability. For the first time, the... Mostrar Tudo |
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Thesaurus Nal: |
Genetic variance; Germplasm; Jatropha. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230516/1/WIDE-GENETIC-VARIABILITY.pdf
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Marc: |
LEADER 02444naa a2200229 a 4500
001 2139330
005 2022-01-26
008 2021 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.35418/2526-4117/v3n1a4$2DOI
100 1 $aFERNANDES, E. da C.
245 $aWide genetic variability within and among families in a germplasm collection of jatropha curcas l. as revealed by microsatellite markers.$h[electronic resource]
260 $c2021
520 $aJ. curcas is a species with wide potential for biofuel production. However, there are few breeding programs and little information on its genetic structure. Studies indicate that the species has narrow genetic variability. We quantify genetic variability, and decomposing it within and among 28 families of a genebank by means of microsatellite markers. Thirty-nine pairs of primers were tested, of which six were polymorphic for a total of 18 alleles, with a mean of three alleles/locus. These six markers allowed genetic variability to be estimated within and among the families through estimates of PIC (0.36), expected (He=0.44) and observed (Ho=0.48) heterozygosity, inbreeding coefficient (f=-0.03), Shannon-Wiener index (H?=0.71), and the formation of 11 clusters. Bayesian analysis classified the families in four groups. The present study was the first to portray the formation of four groups and detect high genetic variability using only accessions from outside the main center of diversity of the species. Analysis of molecular variance showed that most of the variability (92.4%) is contained within families. There was low differentiation among the families (FST=0.07). Collection of genotypes within families should be prioritized because they are where greater variability is concentrated. This strategy was used in setting up the present genebank, which prioritized the collection of more plants per family, efficiently bringing together greater variability. For the first time, the diversity statistics revealed high genetic variability to be exploited in this collection, on the contrary to most studies with J. curcas that have claimed low genetic diversity in the species.
650 $aGenetic variance
650 $aGermplasm
650 $aJatropha
700 1 $aDIAS, L. A. dos S.
700 1 $aCAIXETA, E. T.
700 1 $aCORRÊA, T. R.
700 1 $aMUNIZ, D. R.
700 1 $aALMEIDA, O. F. de
773 $tFunctional Plant Breeding Journal$gv. 3, n. 1, 2021.
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Registro original: |
Embrapa Café (CNPCa) |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
21/01/2015 |
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Data da última atualização: |
16/04/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BETTIOL NETO, J. E.; CHAGAS, E. A.; SANCHES, J.; PIO, R.; ANTONIALI, S.; CIA, P. |
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Afiliação: |
EDVAN ALVES CHAGAS, CPAF-RR. |
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Título: |
Produção e qualidade pós-colheita de cultivares de pereira nas condições subtropicais da região leste paulista. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Ciência Rural, Santa Maria, v.44, n.10, p.1740-1746, out, 2014. |
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Idioma: |
Português |
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Thesagro: |
Fenologia; Pyrus Communis. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/116084/1/Artigo-Pera-Ciencia-Rural-v44-n10-p1740-1746-2014.pdf
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Marc: |
LEADER 00587naa a2200193 a 4500
001 2006266
005 2018-04-16
008 2014 bl uuuu u00u1 u #d
100 1 $aBETTIOL NETO, J. E.
245 $aProdução e qualidade pós-colheita de cultivares de pereira nas condições subtropicais da região leste paulista.
260 $c2014
650 $aFenologia
650 $aPyrus Communis
700 1 $aCHAGAS, E. A.
700 1 $aSANCHES, J.
700 1 $aPIO, R.
700 1 $aANTONIALI, S.
700 1 $aCIA, P.
773 $tCiência Rural, Santa Maria$gv.44, n.10, p.1740-1746, out, 2014.
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Embrapa Roraima (CPAF-RR) |
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