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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
25/01/2018 |
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Data da última atualização: |
25/01/2018 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ARAGÃO, L. S.; ASSIS, H. F.; CAVALLI, J.; TESK, C. R. M.; CARVALHO, P.; PEREIRA, D. H.; SCHIMITD JUNIOR, R. J.; PEDREIRA, B. C. e. |
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Afiliação: |
LIDIANY S. ARAGÃO, UFMT-SINOP; HUGO F. ASSIS, UFMT-CUIABA; JOSIANA CAVALLI, UFMT-CUIABA; CÁTIA R. M. TESK, UFMT-CUIABA; PERIVALDO CARVALHO, UFMT-CUIABA; DALTON H. PEREIRA, UFMT-SINOP; ROBERTO J. S. JUNIOR, UFMT-CUIABA; BRUNO CARNEIRO E PEDREIRA, CPAMT. |
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Título: |
Leaf photosynthesis and water use efficiency by Panicum maximum BRS Quênia. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 54., 2017, Foz do Iguaçu. A new view of animal science: challenges and perspectives: Proceedings. Foz do Iguaçu: SBZ, 2017. p. 654. |
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ISSN: |
1983-4357 |
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Idioma: |
Inglês |
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Conteúdo: |
Tropical grasses has an important role at forage-based cattle production systems. To guarantee production is necessary understand factors that allow plant growth, as well as photosynthesis. Under grazing, the amount of residual leaf area in post-grazing or plant organic reserves also driven the growth. Thus, gaseous exchange responses in forages are essential for understand forage production process, aiming maximum biological efficiency. The objective with this study was to evaluate foliar photosynthesis and water use efficiency in Quênia (Panicum maximum BRS Quênia). The pastures were submitted to intermittent grazing (95% of light interception) with two grazing intensities defined by post-grazing height: high and low (20 and 35 cm). The experiment was carried out at Embrapa Agrossilvipastoril, Sinop/MT, from March/15 to Feb/16, follow a randomized complete block design, with tree replications. Data was analyzed using the method of mixed templates, with special structure in the parametric covariance matrix, through the MIXED procedure of SAS statistical software. To choose covariance matrix, the Akaike information was used. Three seasons are evaluated (autumn, spring and summer), using three leaves (younger fully expanded per tiller) per plot, immediately before grazing. Measurements were performed using the portable infrared gas exchange analyzer (LCi-SD, ADC BioScientific Ltd., Hoddesdon, England). The light intensity was kept constant at 2000 μmol photons m-2 s-1, and readings were taken between 08:30 and 11:00 AM. There is no grazing intensity effect (P>0.05) on leaf photosynthesis (27.76 μmol CO2 m-2 s-1) and water use efficiency (5.65 μmol CO2 mol H2O m-2 s-1). Leaf photosynthesis rate and water use efficiency showed grazing intensity x seasons interaction (P=0.0317 and P=0.0215, respectively). Despite managed under high or low grazing intensity, grass physiological responses was strongly influenced by climatic conditions, mainly due variations in water availability that occurred during experimental period. The highest values of leaf photosynthesis (34.09 μmol CO2 m-2 s-1) and water use efficiency (4.13 μmol CO2 mol H2O m-2 s-1) were registered in spring, season with greater values of radiation and precipitation. After mid-December, rainfall was enough to guarantee water deficit absence. Quênia guineagrass under intermittent grazing, using 95% of light interception, can have the post-graze define between 35 and 20 cm of height. MenosTropical grasses has an important role at forage-based cattle production systems. To guarantee production is necessary understand factors that allow plant growth, as well as photosynthesis. Under grazing, the amount of residual leaf area in post-grazing or plant organic reserves also driven the growth. Thus, gaseous exchange responses in forages are essential for understand forage production process, aiming maximum biological efficiency. The objective with this study was to evaluate foliar photosynthesis and water use efficiency in Quênia (Panicum maximum BRS Quênia). The pastures were submitted to intermittent grazing (95% of light interception) with two grazing intensities defined by post-grazing height: high and low (20 and 35 cm). The experiment was carried out at Embrapa Agrossilvipastoril, Sinop/MT, from March/15 to Feb/16, follow a randomized complete block design, with tree replications. Data was analyzed using the method of mixed templates, with special structure in the parametric covariance matrix, through the MIXED procedure of SAS statistical software. To choose covariance matrix, the Akaike information was used. Three seasons are evaluated (autumn, spring and summer), using three leaves (younger fully expanded per tiller) per plot, immediately before grazing. Measurements were performed using the portable infrared gas exchange analyzer (LCi-SD, ADC BioScientific Ltd., Hoddesdon, England). The light intensity was kept constant at 2000 μmol photons m-2 s-1, a... Mostrar Tudo |
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Palavras-Chave: |
Light interception; Tropical grass. |
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Thesaurus Nal: |
Grazing intensity; Grazing management. |
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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/171656/1/2017-cpamt-bruno-pedreira-photosynthesis-water-efficiency-pancum-brs-quenia.pdf
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Marc: |
LEADER 03389nam a2200253 a 4500
001 2086320
005 2018-01-25
008 2017 bl uuuu u00u1 u #d
022 $a1983-4357
100 1 $aARAGÃO, L. S.
245 $aLeaf photosynthesis and water use efficiency by Panicum maximum BRS Quênia.$h[electronic resource]
260 $aIn: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 54., 2017, Foz do Iguaçu. A new view of animal science: challenges and perspectives: Proceedings. Foz do Iguaçu: SBZ, 2017. p. 654.$c2017
520 $aTropical grasses has an important role at forage-based cattle production systems. To guarantee production is necessary understand factors that allow plant growth, as well as photosynthesis. Under grazing, the amount of residual leaf area in post-grazing or plant organic reserves also driven the growth. Thus, gaseous exchange responses in forages are essential for understand forage production process, aiming maximum biological efficiency. The objective with this study was to evaluate foliar photosynthesis and water use efficiency in Quênia (Panicum maximum BRS Quênia). The pastures were submitted to intermittent grazing (95% of light interception) with two grazing intensities defined by post-grazing height: high and low (20 and 35 cm). The experiment was carried out at Embrapa Agrossilvipastoril, Sinop/MT, from March/15 to Feb/16, follow a randomized complete block design, with tree replications. Data was analyzed using the method of mixed templates, with special structure in the parametric covariance matrix, through the MIXED procedure of SAS statistical software. To choose covariance matrix, the Akaike information was used. Three seasons are evaluated (autumn, spring and summer), using three leaves (younger fully expanded per tiller) per plot, immediately before grazing. Measurements were performed using the portable infrared gas exchange analyzer (LCi-SD, ADC BioScientific Ltd., Hoddesdon, England). The light intensity was kept constant at 2000 μmol photons m-2 s-1, and readings were taken between 08:30 and 11:00 AM. There is no grazing intensity effect (P>0.05) on leaf photosynthesis (27.76 μmol CO2 m-2 s-1) and water use efficiency (5.65 μmol CO2 mol H2O m-2 s-1). Leaf photosynthesis rate and water use efficiency showed grazing intensity x seasons interaction (P=0.0317 and P=0.0215, respectively). Despite managed under high or low grazing intensity, grass physiological responses was strongly influenced by climatic conditions, mainly due variations in water availability that occurred during experimental period. The highest values of leaf photosynthesis (34.09 μmol CO2 m-2 s-1) and water use efficiency (4.13 μmol CO2 mol H2O m-2 s-1) were registered in spring, season with greater values of radiation and precipitation. After mid-December, rainfall was enough to guarantee water deficit absence. Quênia guineagrass under intermittent grazing, using 95% of light interception, can have the post-graze define between 35 and 20 cm of height.
650 $aGrazing intensity
650 $aGrazing management
653 $aLight interception
653 $aTropical grass
700 1 $aASSIS, H. F.
700 1 $aCAVALLI, J.
700 1 $aTESK, C. R. M.
700 1 $aCARVALHO, P.
700 1 $aPEREIRA, D. H.
700 1 $aSCHIMITD JUNIOR, R. J.
700 1 $aPEDREIRA, B. C. e
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
31/05/2016 |
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Data da última atualização: |
11/10/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
GONÇALVES, F. J.; FILIPPI, M. C. C. de; LOBO, V. L. S.; ARAÚJO, L. G.; SILVA, G. B.; COELHO, A. S. G.; PRABHU, A. S. |
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Afiliação: |
FABIO JOSE GONÇALVES; MARTA CRISTINA CORSI DE FILIPPI, CNPAF; VALACIA LEMES DA SILVA LOBO, CNPAF; LEILA GARCÊS ARAÚJO, UFG; GISELE BARATA SILVA, UFRA; ALEXANDRE SIQUEIRA GUEDES COELHO, UFV; ANNE SITARAMA PRABHU, CNPAF. |
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Título: |
Polymorphism detection by microsatellite markers in a Magnaporthe oryzae population from different geographical areas of Brazil. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Phytopathology, v. 164, n. 9, p. 620-630, Sept. 2016. |
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ISSN: |
0931-1785 |
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DOI: |
10.1111/jph.12485 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to examine Brazilian M. oryzae populations using 18 microsatellites. Fifty cultivars were sown in plastic trays for the pathotyping of 847 isolates. The DNA of 494 isolates was extracted and purified using the modified Doyle and Doyle method, the genetic structure was determined by the software Structure, and the actual number was selected from the prediction method based on the K values. Nei's genetic distance among the subpopulations was determined with the aid of the program Genetix, and the amova was performed with the program Arlequin. Out of 847 inoculated monosporic isolates, 528 infected their respective cultivars; of the 528 isolates pathotyped, there was a prevalence of group IA and pathotype IF-1, which was the most frequent pathotype in the rice production areas of Brazil. The Bayesian clustering analysis indicated that 19 was the optimal value of K; this value was the lowest standard deviation and log (ln K) closest to zero, which predicted the 494 isolates of M. oryzae that were selected for molecular studies to be grouped into 19 subpopulations. The AMOVA detected a 37.13% variability within the 19 subpopulations and 62.87% variability among the subpopulations. The polymorphic information content (PIC) ranged from 0 to 0.756. Thirty three rare alleles were found distributed among 15 out of 19 subpopulations. The Margalef index ranged from 38.69 to 79.21 for all 18 analysed locus. The results indicated that the identification of different blast resistance genes must consider the composition of each subpopulation and that the identification is most effective when performed within a subpopulation and then between subpopulations. MenosThis study aimed to examine Brazilian M. oryzae populations using 18 microsatellites. Fifty cultivars were sown in plastic trays for the pathotyping of 847 isolates. The DNA of 494 isolates was extracted and purified using the modified Doyle and Doyle method, the genetic structure was determined by the software Structure, and the actual number was selected from the prediction method based on the K values. Nei's genetic distance among the subpopulations was determined with the aid of the program Genetix, and the amova was performed with the program Arlequin. Out of 847 inoculated monosporic isolates, 528 infected their respective cultivars; of the 528 isolates pathotyped, there was a prevalence of group IA and pathotype IF-1, which was the most frequent pathotype in the rice production areas of Brazil. The Bayesian clustering analysis indicated that 19 was the optimal value of K; this value was the lowest standard deviation and log (ln K) closest to zero, which predicted the 494 isolates of M. oryzae that were selected for molecular studies to be grouped into 19 subpopulations. The AMOVA detected a 37.13% variability within the 19 subpopulations and 62.87% variability among the subpopulations. The polymorphic information content (PIC) ranged from 0 to 0.756. Thirty three rare alleles were found distributed among 15 out of 19 subpopulations. The Margalef index ranged from 38.69 to 79.21 for all 18 analysed locus. The results indicated that the identification of different blast... Mostrar Tudo |
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Thesagro: |
Arroz; Brusone; Marcador molecular; Oryza sativa. |
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Thesaurus NAL: |
Blast disease; Magnaporthe oryzae; Microsatellite repeats; Rice. |
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Categoria do assunto: |
H Saúde e Patologia |
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Marc: |
LEADER 02619naa a2200313 a 4500
001 2045924
005 2016-10-11
008 2016 bl uuuu u00u1 u #d
022 $a0931-1785
024 7 $a10.1111/jph.12485$2DOI
100 1 $aGONÇALVES, F. J.
245 $aPolymorphism detection by microsatellite markers in a Magnaporthe oryzae population from different geographical areas of Brazil.$h[electronic resource]
260 $c2016
520 $aThis study aimed to examine Brazilian M. oryzae populations using 18 microsatellites. Fifty cultivars were sown in plastic trays for the pathotyping of 847 isolates. The DNA of 494 isolates was extracted and purified using the modified Doyle and Doyle method, the genetic structure was determined by the software Structure, and the actual number was selected from the prediction method based on the K values. Nei's genetic distance among the subpopulations was determined with the aid of the program Genetix, and the amova was performed with the program Arlequin. Out of 847 inoculated monosporic isolates, 528 infected their respective cultivars; of the 528 isolates pathotyped, there was a prevalence of group IA and pathotype IF-1, which was the most frequent pathotype in the rice production areas of Brazil. The Bayesian clustering analysis indicated that 19 was the optimal value of K; this value was the lowest standard deviation and log (ln K) closest to zero, which predicted the 494 isolates of M. oryzae that were selected for molecular studies to be grouped into 19 subpopulations. The AMOVA detected a 37.13% variability within the 19 subpopulations and 62.87% variability among the subpopulations. The polymorphic information content (PIC) ranged from 0 to 0.756. Thirty three rare alleles were found distributed among 15 out of 19 subpopulations. The Margalef index ranged from 38.69 to 79.21 for all 18 analysed locus. The results indicated that the identification of different blast resistance genes must consider the composition of each subpopulation and that the identification is most effective when performed within a subpopulation and then between subpopulations.
650 $aBlast disease
650 $aMagnaporthe oryzae
650 $aMicrosatellite repeats
650 $aRice
650 $aArroz
650 $aBrusone
650 $aMarcador molecular
650 $aOryza sativa
700 1 $aFILIPPI, M. C. C. de
700 1 $aLOBO, V. L. S.
700 1 $aARAÚJO, L. G.
700 1 $aSILVA, G. B.
700 1 $aCOELHO, A. S. G.
700 1 $aPRABHU, A. S.
773 $tJournal of Phytopathology$gv. 164, n. 9, p. 620-630, Sept. 2016.
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