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Registro Completo |
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
05/03/2021 |
Data da última atualização: |
11/11/2022 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
ZAMAN, M.; KLEINEIDAM, K.; BAKKEN, L.; BERENDT, J.; BRACKEN, C.; BUTTERBACH-BAHL, K.; CAI, Z.; CHANG, S. X.; CLOUGH, T.; DAWAR, K.; DING, W. X.; DÖRSCH, P.; MARTINS, M. dos R.; ECKHARDT, C.; FIEDLER, T.; FROSCH, T.; GOOPY, J.; GORRES, C. M.; GUPTA, A.; HENJES, S.; HOFMMAN, M. E. G.; HORN, M. A.; JAHANGIR, M. M. R.; JANSEN-WILLEMS, A.; LENHART, K.; HENG, L.; LEWICKA-SZCZEBAK, D.; LUCIC, G.; MERBOLD, L.; MOHN, J.; MOLSTAD, L.; MOSER, G.; MURPHY, P.; SANZ-COBENA, A.; SIMEK, M.; URQUIAGA, S.; WELL, R.; WRAGE-MÖNNIG, N.; ZAMAN, S.; SHANG, J.; MÜLLER, C. |
Título: |
Automated laboratory and field techniques to determine greenhouse gas emissions. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
In: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 3. |
Páginas: |
p. 109-139 |
ISBN: |
978-3-030-55396-8 |
DOI: |
https://doi.org/10.1007/978-3-030-55396-8_ |
Idioma: |
Inglês |
Conteúdo: |
Methods and techniques are described for automated measurements of greenhouse gases (GHGs) in both the laboratory and the field. Robotic systems are currently available to measure the entire range of gases evolved from soils including dinitrogen (N2). These systems usually work on an exchange of the atmospheric N2 with helium (He) so that N2 fluxes can be determined. Laboratory systems are often used in microbiology to determine kinetic response reactions via the dynamics of all gaseous N species such as nitric oxide (NO), nitrous oxide (N2O), and N2. Latest He incubation techniques also take plants into account, in order to study the effect. of plant?soil interactions on GHGs and N2 production. |
Thesaurus Nal: |
cattle; climate change; greenhouse gas emissions; urine. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02664naa a2200685 a 4500 001 2130520 005 2022-11-11 008 2021 bl uuuu u00u1 u #d 020 $a978-3-030-55396-8 024 7 $ahttps://doi.org/10.1007/978-3-030-55396-8_$2DOI 100 1 $aZAMAN, M. 245 $aAutomated laboratory and field techniques to determine greenhouse gas emissions.$h[electronic resource] 260 $c2021 300 $ap. 109-139 520 $aMethods and techniques are described for automated measurements of greenhouse gases (GHGs) in both the laboratory and the field. Robotic systems are currently available to measure the entire range of gases evolved from soils including dinitrogen (N2). These systems usually work on an exchange of the atmospheric N2 with helium (He) so that N2 fluxes can be determined. Laboratory systems are often used in microbiology to determine kinetic response reactions via the dynamics of all gaseous N species such as nitric oxide (NO), nitrous oxide (N2O), and N2. Latest He incubation techniques also take plants into account, in order to study the effect. of plant?soil interactions on GHGs and N2 production. 650 $acattle 650 $aclimate change 650 $agreenhouse gas emissions 650 $aurine 700 1 $aKLEINEIDAM, K. 700 1 $aBAKKEN, L. 700 1 $aBERENDT, J. 700 1 $aBRACKEN, C. 700 1 $aBUTTERBACH-BAHL, K. 700 1 $aCAI, Z. 700 1 $aCHANG, S. X. 700 1 $aCLOUGH, T. 700 1 $aDAWAR, K. 700 1 $aDING, W. X. 700 1 $aDÖRSCH, P. 700 1 $aMARTINS, M. dos R. 700 1 $aECKHARDT, C. 700 1 $aFIEDLER, T. 700 1 $aFROSCH, T. 700 1 $aGOOPY, J. 700 1 $aGORRES, C. M. 700 1 $aGUPTA, A. 700 1 $aHENJES, S. 700 1 $aHOFMMAN, M. E. G. 700 1 $aHORN, M. A. 700 1 $aJAHANGIR, M. M. R. 700 1 $aJANSEN-WILLEMS, A. 700 1 $aLENHART, K. 700 1 $aHENG, L. 700 1 $aLEWICKA-SZCZEBAK, D. 700 1 $aLUCIC, G. 700 1 $aMERBOLD, L. 700 1 $aMOHN, J. 700 1 $aMOLSTAD, L. 700 1 $aMOSER, G. 700 1 $aMURPHY, P. 700 1 $aSANZ-COBENA, A. 700 1 $aSIMEK, M. 700 1 $aURQUIAGA, S. 700 1 $aWELL, R. 700 1 $aWRAGE-MÖNNIG, N. 700 1 $aZAMAN, S. 700 1 $aSHANG, J. 700 1 $aMÜLLER, C. 773 $tIn: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 3.
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Embrapa Agrobiologia (CNPAB) |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
06/09/2006 |
Data da última atualização: |
14/05/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
RANGEL, P. H. N.; MORAIS, O. P. de; BRONDANI, C.; RANGEL, P. N.; BRONDANI, R. P. V. |
Afiliação: |
PAULO HIDEO NAKANO RANGEL, CNPAF; ORLANDO PEIXOTO DE MORAIS, CNPAF; CLAUDIO BRONDANI, CNPAF; PRISCILA NASCIMENTO RANGEL; ROSANA PEREIRA VIANELLO, CNPAF. |
Título: |
Selection of rice genotypes with greater seedling vigor under controlled conditions. |
Ano de publicação: |
2006 |
Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 6, n. 1, p. 65-72, Mar. 2006. |
Idioma: |
Inglês |
Conteúdo: |
This study aimed to identify allele sources for seedling vigour in 65 rice genotypes, using the slantboard test in a germination chamber, and to determine the best parameter for evaluating seedling vigour. The experiment was arranged in the randomized block design with three replicate blocks. Root and primary leaf length data were collected from seedlings grown in the dark at 18 degrees C, 15 days after sowing and at 25 degrees C, ten days after sowing. The best performing genotypes for seedling vigour were included in Group 2, which contained red rice accessions. The vigour was best evaluated under controlled conditions (grown at 18 degrees C, 15 days after sowing) through measurements of roots and primary leaves.. |
Palavras-Chave: |
Genetic parameters; Oryza glumaepatula; Parâmetros genéticos; Slantboard test. |
Thesagro: |
Arroz; Arroz Vermelho; Genótipo; Melhoramento Genético Vegetal; Oryza Sativa. |
Thesaurus NAL: |
red rice. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/33663/1/CBABRangel.pdf
|
Marc: |
LEADER 01580naa a2200289 a 4500 001 1214378 005 2022-05-14 008 2006 bl uuuu u00u1 u #d 100 1 $aRANGEL, P. H. N. 245 $aSelection of rice genotypes with greater seedling vigor under controlled conditions.$h[electronic resource] 260 $c2006 520 $aThis study aimed to identify allele sources for seedling vigour in 65 rice genotypes, using the slantboard test in a germination chamber, and to determine the best parameter for evaluating seedling vigour. The experiment was arranged in the randomized block design with three replicate blocks. Root and primary leaf length data were collected from seedlings grown in the dark at 18 degrees C, 15 days after sowing and at 25 degrees C, ten days after sowing. The best performing genotypes for seedling vigour were included in Group 2, which contained red rice accessions. The vigour was best evaluated under controlled conditions (grown at 18 degrees C, 15 days after sowing) through measurements of roots and primary leaves.. 650 $ared rice 650 $aArroz 650 $aArroz Vermelho 650 $aGenótipo 650 $aMelhoramento Genético Vegetal 650 $aOryza Sativa 653 $aGenetic parameters 653 $aOryza glumaepatula 653 $aParâmetros genéticos 653 $aSlantboard test 700 1 $aMORAIS, O. P. de 700 1 $aBRONDANI, C. 700 1 $aRANGEL, P. N. 700 1 $aBRONDANI, R. P. V. 773 $tCrop Breeding and Applied Biotechnology$gv. 6, n. 1, p. 65-72, Mar. 2006.
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Embrapa Arroz e Feijão (CNPAF) |
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