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Registro Completo |
Biblioteca(s): |
Embrapa Agroenergia. |
Data corrente: |
19/12/2013 |
Data da última atualização: |
21/09/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BERGMANN, J. C.; COSTA, O. Y. A.; GLADDEN, J. M.; SINGER, S.; HEINS, R.; D'HAESELEER, P.; SIMMONS, B. A.; QUIRINO, B. F. |
Afiliação: |
Jessica C. Bergmann, Universidade Catolica de Brasília; Ohana Yonara A. Costa, Universidade Catolica de Brasília; John M. Gladden, Universidade da Califórnia; Steven Singer, Universidade da Califórnia; Richard Heins, Universidade da Califórnia; Patrik D'haeseleer, Universidade da Califórnia; Blake A. Simmons, Universidade da Califórnia; BETANIA FERRAZ QUIRINO, CNPAE. |
Título: |
Discovery of two novel b-glucosidases from an amazon soil metagenomic library. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
FEMS Microbiology Letters, 16 de dezembro, p. 1-9, 2013. |
DOI: |
10.1111/1574-6968.12332 |
Idioma: |
Inglês |
Palavras-Chave: |
Functional screen; GH1; GH3; Metagenomic library. |
Thesaurus Nal: |
beta-glucosidase. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00764naa a2200265 a 4500 001 1974370 005 2017-09-21 008 2013 bl uuuu u00u1 u #d 024 7 $a10.1111/1574-6968.12332$2DOI 100 1 $aBERGMANN, J. C. 245 $aDiscovery of two novel b-glucosidases from an amazon soil metagenomic library.$h[electronic resource] 260 $c2013 650 $abeta-glucosidase 653 $aFunctional screen 653 $aGH1 653 $aGH3 653 $aMetagenomic library 700 1 $aCOSTA, O. Y. A. 700 1 $aGLADDEN, J. M. 700 1 $aSINGER, S. 700 1 $aHEINS, R. 700 1 $aD'HAESELEER, P. 700 1 $aSIMMONS, B. A. 700 1 $aQUIRINO, B. F. 773 $tFEMS Microbiology Letters, 16 de dezembro, p. 1-9, 2013.
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Embrapa Agroenergia (CNPAE) |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sul. |
Data corrente: |
23/09/2019 |
Data da última atualização: |
01/10/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
BORTOLIN, G. S.; SARI, B. G.; OLIVEIRA, J. C. P.; KOPP, M. M.; VEY, R. T.; PEDROSO, C. E. da S.; DAL'COL LÚCIO, A.; SILVA. |
Afiliação: |
Gabriel Streck Bortolin, UFPEL; Bruno Giacomini Sari, UFSM; JOAO CARLOS PINTO OLIVEIRA, CPPSUL; MAURICIO MARINI KOPP, CPPSUL; Rosana Tascheto Vey, UFSM; Carlos Eduardo da Silva Pedroso, UFPEL; Alessandro Dal’Col Lúcio, UFSM; Antonio Carlos Ferreira da Silva, UFSM. |
Título: |
Nonlinear modeling proposal for the germination performance of Paspalum regnellii seeds: a species with forage potential in Brazil. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Australian Journal of Crop Science, v. 13, n. 8, p. 1244-1250, 2019. |
Idioma: |
Inglês |
Conteúdo: |
Finding qualified standard plants is an essential requirement in the search for high-quality pasture, fact that involves knowledge about the performance of the assessed seeds. Therefore, the aim of the present study was to evaluate the influence of seed weight on the germination behavior of Paspalum regnellii seeds through the logistic growth model. The adopted values were taken from an experiment conducted in 2016 under laboratory conditions. A pneumatic separator was used to select four seed classes, depending on the weight of one thousand seeds namely: Extra light, light, middle and weighted. The logistic model was adjusted to data about the germination rate of each class, and the parameters were compared through the F test. Germination rates between classes were compared based on recorded parameters and on model critical points. The logistic model adjusted well to the values and made it possible to use the parameters and critical points of the curve to describe the germination process. In addition to have low germination rate, seeds in the light-weight batch demanded longer to complete this process. Based on estimates about the parameters and the critical points of the model, the weighted-weight seeds were superior in terms of quality than seeds in the other batches, since they recorded higher germination rate in a shorter period-of-time. |
Palavras-Chave: |
Paspalum regnellii. |
Thesagro: |
Germinação; Pastagem; Semente. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/202223/1/bortolin-13-8-2019-1244-1250.pdf
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Marc: |
LEADER 02138naa a2200253 a 4500 001 2112378 005 2019-10-01 008 2019 bl uuuu u00u1 u #d 100 1 $aBORTOLIN, G. S. 245 $aNonlinear modeling proposal for the germination performance of Paspalum regnellii seeds$ba species with forage potential in Brazil.$h[electronic resource] 260 $c2019 520 $aFinding qualified standard plants is an essential requirement in the search for high-quality pasture, fact that involves knowledge about the performance of the assessed seeds. Therefore, the aim of the present study was to evaluate the influence of seed weight on the germination behavior of Paspalum regnellii seeds through the logistic growth model. The adopted values were taken from an experiment conducted in 2016 under laboratory conditions. A pneumatic separator was used to select four seed classes, depending on the weight of one thousand seeds namely: Extra light, light, middle and weighted. The logistic model was adjusted to data about the germination rate of each class, and the parameters were compared through the F test. Germination rates between classes were compared based on recorded parameters and on model critical points. The logistic model adjusted well to the values and made it possible to use the parameters and critical points of the curve to describe the germination process. In addition to have low germination rate, seeds in the light-weight batch demanded longer to complete this process. Based on estimates about the parameters and the critical points of the model, the weighted-weight seeds were superior in terms of quality than seeds in the other batches, since they recorded higher germination rate in a shorter period-of-time. 650 $aGerminação 650 $aPastagem 650 $aSemente 653 $aPaspalum regnellii 700 1 $aSARI, B. G. 700 1 $aOLIVEIRA, J. C. P. 700 1 $aKOPP, M. M. 700 1 $aVEY, R. T. 700 1 $aPEDROSO, C. E. da S. 700 1 $aDAL'COL LÚCIO, A. 700 1 $aSILVA. 773 $tAustralian Journal of Crop Science$gv. 13, n. 8, p. 1244-1250, 2019.
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