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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
01/10/2015 |
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Data da última atualização: |
30/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARAYAA, A.; HOOGENBOOM, G.; LUEDELING, E.; HADGU, K. M.; KISEKKA, I.; MARTORANO, L. G. |
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Afiliação: |
A. Arayaa, Mekelle University; G. Hoogenboom, Washington State University; E. Luedeling, World Agroforestry Centre / University of Bonn; Kiros M. Hadgu, World Agroforestry Centre; Isaya Kisekka, Kansas State University; LUCIETA GUERREIRO MARTORANO, CPATU. |
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Título: |
Assessment of maize growth and yield using crop models under present and future climate in southwestern Ethiopia. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 214/215, p. 252-265, Dec. 2015. |
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DOI: |
http://dx.doi.org/10.1016/j.agrformet.2015.08.259 |
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Idioma: |
Inglês |
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Conteúdo: |
Maize yield productivity in Ethiopia has been below the genetic potential?constrained, among other factors, by frequent moisture stress due to local weather variability. Changes in climate may exacerbate these limitations to productivity, but current research on projecting responses of maize yields to climate change in Ethiopia is inadequate. The research objectives of this project were to (1) calibrate and evaluate the performance of the APSIM-maize and DSSAT CSM-CERES-Maize models, and (2) assess the impact of climate change on future maize yield. The climate periods considered were near future (2010-2039), middle (2040-2069) and end of the 21st century (2070-2099). Climate simulations were conducted using 20 General Circulation Models (GCMs) and two Representative Concentration Pathways (RCPs; RCP4.5 and RCP8.5). Both crop models reasonably reproduced observations for time to anthesis, time to physiological maturity and crop yields, with values for the index of agreement of 0.86, 0.80 and 0.77 for DSSAT, and 0.50, 0.89 and 0.60 for APSIM. Similarly root mean square errors were moderate for days to anthesis (1.3 and 3.7 days, for DSSAT and APSIM, respectively), maturity (4.5 and 3.1 days), and yield (1.1 and 1.2 tons). Deviations of simulated from observed values were low for days to anthesis (DSSAT: −2.4?2.3%; APSIM: 0?6%) and days to maturity (DSSAT: −0.6?4.4%; APSIM: −1.9?3.3%) but relatively high for yield (DSSAT: −18.5?21.2%; APSIM: −19.1?37.1%). Overall the goodness-of-fit measures indicated that models were useful for assessing maize yield at the study site. Simulations for future climate scenarios projected slight increases in the median yield for the near future (1.7%?2.9% across models and RCPs), with uncertainty increasing toward mid-century (0.6?4.2%). By the end of the 21st century, projections ranged between yield decreases by 6.3% and increases by 4%. Differences between the RCPs were small, probably due to factor interactions, such as higher temperatures reducing the CO2-induced yield gains for the higher RCP. Uncertainties in studies on the impact of climate change on maize might arise mostly from the choice of crop model and GCM. Therefore, the use of multiple crop models along with multiple GCMs would be advisable in order to adequately consider uncertainties about future climate and crop responses and to provide comprehensive information to policy makers and planners. Overall, results of this study (based on two different crop simulation models across 20 GCMs, and two RCPs under similar crop management) consistently indicated a slight increase in yield. MenosMaize yield productivity in Ethiopia has been below the genetic potential?constrained, among other factors, by frequent moisture stress due to local weather variability. Changes in climate may exacerbate these limitations to productivity, but current research on projecting responses of maize yields to climate change in Ethiopia is inadequate. The research objectives of this project were to (1) calibrate and evaluate the performance of the APSIM-maize and DSSAT CSM-CERES-Maize models, and (2) assess the impact of climate change on future maize yield. The climate periods considered were near future (2010-2039), middle (2040-2069) and end of the 21st century (2070-2099). Climate simulations were conducted using 20 General Circulation Models (GCMs) and two Representative Concentration Pathways (RCPs; RCP4.5 and RCP8.5). Both crop models reasonably reproduced observations for time to anthesis, time to physiological maturity and crop yields, with values for the index of agreement of 0.86, 0.80 and 0.77 for DSSAT, and 0.50, 0.89 and 0.60 for APSIM. Similarly root mean square errors were moderate for days to anthesis (1.3 and 3.7 days, for DSSAT and APSIM, respectively), maturity (4.5 and 3.1 days), and yield (1.1 and 1.2 tons). Deviations of simulated from observed values were low for days to anthesis (DSSAT: −2.4?2.3%; APSIM: 0?6%) and days to maturity (DSSAT: −0.6?4.4%; APSIM: −1.9?3.3%) but relatively high for yield (DSSAT: −18.5?21.2%; APSIM: −19.1... Mostrar Tudo |
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Palavras-Chave: |
Etiópia. |
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Thesagro: |
Milho; Mudança Climática. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03384naa a2200229 a 4500
001 2025627
005 2022-05-30
008 2015 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.agrformet.2015.08.259$2DOI
100 1 $aARAYAA, A.
245 $aAssessment of maize growth and yield using crop models under present and future climate in southwestern Ethiopia.$h[electronic resource]
260 $c2015
520 $aMaize yield productivity in Ethiopia has been below the genetic potential?constrained, among other factors, by frequent moisture stress due to local weather variability. Changes in climate may exacerbate these limitations to productivity, but current research on projecting responses of maize yields to climate change in Ethiopia is inadequate. The research objectives of this project were to (1) calibrate and evaluate the performance of the APSIM-maize and DSSAT CSM-CERES-Maize models, and (2) assess the impact of climate change on future maize yield. The climate periods considered were near future (2010-2039), middle (2040-2069) and end of the 21st century (2070-2099). Climate simulations were conducted using 20 General Circulation Models (GCMs) and two Representative Concentration Pathways (RCPs; RCP4.5 and RCP8.5). Both crop models reasonably reproduced observations for time to anthesis, time to physiological maturity and crop yields, with values for the index of agreement of 0.86, 0.80 and 0.77 for DSSAT, and 0.50, 0.89 and 0.60 for APSIM. Similarly root mean square errors were moderate for days to anthesis (1.3 and 3.7 days, for DSSAT and APSIM, respectively), maturity (4.5 and 3.1 days), and yield (1.1 and 1.2 tons). Deviations of simulated from observed values were low for days to anthesis (DSSAT: −2.4?2.3%; APSIM: 0?6%) and days to maturity (DSSAT: −0.6?4.4%; APSIM: −1.9?3.3%) but relatively high for yield (DSSAT: −18.5?21.2%; APSIM: −19.1?37.1%). Overall the goodness-of-fit measures indicated that models were useful for assessing maize yield at the study site. Simulations for future climate scenarios projected slight increases in the median yield for the near future (1.7%?2.9% across models and RCPs), with uncertainty increasing toward mid-century (0.6?4.2%). By the end of the 21st century, projections ranged between yield decreases by 6.3% and increases by 4%. Differences between the RCPs were small, probably due to factor interactions, such as higher temperatures reducing the CO2-induced yield gains for the higher RCP. Uncertainties in studies on the impact of climate change on maize might arise mostly from the choice of crop model and GCM. Therefore, the use of multiple crop models along with multiple GCMs would be advisable in order to adequately consider uncertainties about future climate and crop responses and to provide comprehensive information to policy makers and planners. Overall, results of this study (based on two different crop simulation models across 20 GCMs, and two RCPs under similar crop management) consistently indicated a slight increase in yield.
650 $aMilho
650 $aMudança Climática
653 $aEtiópia
700 1 $aHOOGENBOOM, G.
700 1 $aLUEDELING, E.
700 1 $aHADGU, K. M.
700 1 $aKISEKKA, I.
700 1 $aMARTORANO, L. G.
773 $tAgricultural and Forest Meteorology$gv. 214/215, p. 252-265, Dec. 2015.
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Embrapa Amazônia Oriental (CPATU) |
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Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
10/08/2011 |
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Data da última atualização: |
17/04/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PEDROSA, F. O.; MONTEIRO, R. A.; WASSEM, R.; CRUZ, L. M.; AYUB, R. A.; COLAUTO, N. B.; FERNANDEZ, M. A.; FUNGARO, M. H. P.; GRISARD, E. C.; HUNGRIA, M.; MADEIRA, H. M. F.; NODARI, R. O.; OSAKU, C. A.; PETZL-ERLER, M. L.; TERENZI, H.; VIEIRA, L. G. E.; STEFFENS, M. B. R.; WEISS, V. A.; PEREIRA, L. F. P.; ALMEIDA, M. I. M.; ALVES, L. R.; MARIN, A.; ARAUJO, L. M.; BALSANELLI, E.; BAURA, V. A.; CHUBATSU, L. S.; FAORO, H.; FAVETTI, A.; FRIEDERMANN, G.; GLIENKE, C.; KARP, S.; KAVA-CORDEIRO, V.; RAITTZ, R. T.; RAMOS, H. J. O.; RIBEIRO, E. M. S. F.; RIGO, L. U.; ROCHA, S. N.; SCHWAB, S.; SILVA, A. G.; SOUZA, E. M.; MICHELLE Z. TADRA-SFEIR; TORRES, R. A.; DABUL, A. N. G.; SOARES, M. A. M.; GASQUES, L. S.; GIMENES, C. C. T.; VALLE, J. S.; CIFERRI, R. R.; CORREA, L. C.; MURACE, N. K.; PAMPHILE, J. A.; PATUSSI, E. V.; PRIOLI, A. J.; PRIOLI, S. M. A.; ROCHA, C. L. M. S. C.; ARANTES, O. M. N.; FURLANETO, M. C.; GODOY, L. P.; OLIVEIRA, C. E. C.; SATORI, D.; VILAS-BOAS, L. A.; WATANABE, M. A. E.; DAMBROS, B. P.; GUERRA, M. P.; MATHIONI, S. M.; SANTOS, K. L.; STEINDEL, M.; VERNAL, J.; BARCELLOS, F. G.; CAMPO, R. J.; CHUEIRE, L. M. O.; NICOLÁS, M. F.; PEREIRA-FERRARI, L.; SILVA, J. L. da C.; GIOPPO, N. M. R.; MARGARIDO, V. P.; MENCK-SOARES, M. A.; PINTO, F. G. S.; SIMÃO, R. de C. G.; TAKAHASHI, E. K.; YATES, M. G.; SOUZA, E. M. |
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Afiliação: |
FÁBIO O. PEDROSA, UFPR; ROSE ADELE MONTEIRO, UFPR; ROSELI WASSEM, UFPR; LEONARDO M. CRUZ, UFPR; RICARDO A. AYUB, UEPG; NELSON B. COLAUTO, Universidade Paranaense, Umuarama.; MARIA APARECIDA FERNANDEZ, UEM; MARIA HELENA P. FUNGARO, UEL; EDMUNDO C. GRISARD, UFSC; MARIANGELA HUNGRIA DA CUNHA, CNPSO; HUMBERTO M. F. MADEIRA8,, PUC Curitiba; RUBENS O. NODARI, UFSC; CLARICE A. OSAKU, UNIOESTE; MARIA LUIZA PETZL-ERLER, UFPR; HERNÁN TERENZI, UFSC; LUIZ G. E. VIEIRA, IAPAR; MARIA BERENICE R. STEFFENS, UFPR; VINICIUS A. WEISS, UFPR; LUIZ F. P. PEREIRA, IAPAR; MARINA I. M. ALMEIDA, UFPR; LYSANGELA R. ALVES, UFPR; ANELIS MARIN, UFPR; LUIZA MARIA ARAUJO, UFPR; EDUARDO BALSANELLI, UFPR; VALTER A. BAURA, UFPR; LEDA S. CHUBATSU, UFPR; HELISSON FAORO, UFPR; AUGUSTO FAVETTI, UFPR; GERALDO FRIEDERMANN, UFPR; CHIRLEI GLIENKE, UFPR; SUSAN KARP, UFPR; VANESSA KAVA-CORDEIRO, UFPR; ROBERTO T. RAITTZ, UFPR; HUMBERTO J. O. RAMOS, UFPR; ENILZE MARIA S. F. RIBEIRO, UFPR; LIU UN RIGO, UFPR; SAUL N. ROCHA, UFPR; STEFAN SCHWAB, UFPR; ANILDA G. SILVA, UFPR; ELIEL M. SOUZA, UFPR; TADRA-SFEIR, M. Z., UFPR; RODRIGO A. TORRES, UFPR; AUDREI N. G. DABUL, UEPG; MARIA ALBERTINA M. SOARES, UEPG; LUCIANO S. GASQUES, Universidade Paranaense, Umuarama; CIELA C. T. GIMENES, Universidade Paranaense, Umuarama.; JULIANA S. VALLE, Universidade Paranaense, Umuarama.; RICARDO R. CIFERRI, UEM; LUIZ C. CORREA, UEM; NORMA K. MURACE, UEM; JOÃO A. PAMPHILE, UEM; ELIANA VALÉRIA PATUSSI, UEM; ALBERTO J. PRIOLI, UEM; SONIA MARIA A. PRIOLI, UEM; CARMEM LÚCIA M. S. C. ROCHA, UEM; OLÍVIA MÁRCIA N. ARANTES, UEL; MÁRCIA CRISTINA FURLANETO, UEL; LEANDRO P. GODOY, UEL; CARLOS E. C. OLIVEIRA, UEL; DANIELE SATORI, UEL; LAURIVAL A. VILAS-BOAS, UEL; MARIA ANGÉLICA E. WATANABE, UEL; BIBIANA PAULA DAMBROS, UFSC; MIGUEL P. GUERRA, UFSC; SANDRA MARISA MATHIONI, UFSC; KARINE LOUISE SANTOS, UFSC; MARIO STEINDEL, UFSC; JAVIER VERNAL, UFSC; FERNANDO G. BARCELLOS, CNPSo - Pós-graduando; RUBENS J. CAMPO, CNPSo - Pesquisador aposentado; LIGIA MARIA DE OLIVEIRA CHUEIRE, CNPSO; MARISA FABIANA NICOLÁS, CNPSo - Pós-graduanda; LILIAN PEREIRA-FERRARI, PUC Curitiba-PR; JOSÉ L. DA CONCEICÃO SILVA, UNIOESTE; NEREIDA M. R. GIOPPO, UNIOESTE; VLADIMIR P. MARGARIDO, UNIOESTE; MARIA AMÉLIA MENCK-SOARES, UNIOESTE; FABIANA GISELE S. PINTO, UNIOESTE; RITA DE CÁSSIA G. SIMÃO, UNIOESTE; ELIZABETE K. TAKAHASHI, IAPAR; MARSHALL G. YATES, UFPR; EMANUEL M. SOUZA, UFPR. |
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Título: |
Genome of Herbaspirillum seropedicae Strain SmR1, a specialized diazotrophic endophyte of tropical grasses. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
PLoS Genetics, v. 7, n. 5, p. 1-10, may 2011. |
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DOI: |
10.1371/journal.pgen.1002064 |
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Idioma: |
Português |
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Conteúdo: |
The molecular mechanisms of plant recognition, colonization, and nutrient exchange between diazotrophic endophytes and plants are scarcely known. Herbaspirillum seropedicae is an endophytic bacterium capable of colonizing intercellular spaces of grasses such as rice and sugar cane. The genome of H. seropedicae strain SmR1 was sequenced and annotated by The Paraná State Genome Programme?GENOPAR. The genome is composed of a circular chromosome of 5,513,887 bp and contains a total of 4,804 genes. The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases. The genome contains a multitude of protein secretion systems, including type I, type II, type III, type V, and type VI secretion systems, and type IV pili, suggesting a high potential to interact with host plants. H. seropedicae is able to synthesize indole acetic acid as reflected by the four IAA biosynthetic pathways present. A gene coding for ACC deaminase, which may be involved in modulating the associated plant ethylene-signaling pathway, is also present. Genes for hemagglutinins/hemolysins/adhesins were found and may play a role in plant cell surface adhesion. These features may endow H. seropedicae with the ability to establish an endophytic life-style in a large number of plant species. |
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Palavras-Chave: |
Fixação nitrogênio. |
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Thesagro: |
Genoma; Graminea tropical. |
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Thesaurus NAL: |
Genome; Grasses; Herbaspirillum seropedicae; Nitrogen fixation. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39544/1/plos-genetics.pdf
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Marc: |
LEADER 04596naa a2201189 a 4500
001 1897676
005 2018-04-17
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pgen.1002064$2DOI
100 1 $aPEDROSA, F. O.
245 $aGenome of Herbaspirillum seropedicae Strain SmR1, a specialized diazotrophic endophyte of tropical grasses.
260 $c2011
520 $aThe molecular mechanisms of plant recognition, colonization, and nutrient exchange between diazotrophic endophytes and plants are scarcely known. Herbaspirillum seropedicae is an endophytic bacterium capable of colonizing intercellular spaces of grasses such as rice and sugar cane. The genome of H. seropedicae strain SmR1 was sequenced and annotated by The Paraná State Genome Programme?GENOPAR. The genome is composed of a circular chromosome of 5,513,887 bp and contains a total of 4,804 genes. The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases. The genome contains a multitude of protein secretion systems, including type I, type II, type III, type V, and type VI secretion systems, and type IV pili, suggesting a high potential to interact with host plants. H. seropedicae is able to synthesize indole acetic acid as reflected by the four IAA biosynthetic pathways present. A gene coding for ACC deaminase, which may be involved in modulating the associated plant ethylene-signaling pathway, is also present. Genes for hemagglutinins/hemolysins/adhesins were found and may play a role in plant cell surface adhesion. These features may endow H. seropedicae with the ability to establish an endophytic life-style in a large number of plant species.
650 $aGenome
650 $aGrasses
650 $aHerbaspirillum seropedicae
650 $aNitrogen fixation
650 $aGenoma
650 $aGraminea tropical
653 $aFixação nitrogênio
700 1 $aMONTEIRO, R. A.
700 1 $aWASSEM, R.
700 1 $aCRUZ, L. M.
700 1 $aAYUB, R. A.
700 1 $aCOLAUTO, N. B.
700 1 $aFERNANDEZ, M. A.
700 1 $aFUNGARO, M. H. P.
700 1 $aGRISARD, E. C.
700 1 $aHUNGRIA, M.
700 1 $aMADEIRA, H. M. F.
700 1 $aNODARI, R. O.
700 1 $aOSAKU, C. A.
700 1 $aPETZL-ERLER, M. L.
700 1 $aTERENZI, H.
700 1 $aVIEIRA, L. G. E.
700 1 $aSTEFFENS, M. B. R.
700 1 $aWEISS, V. A.
700 1 $aPEREIRA, L. F. P.
700 1 $aALMEIDA, M. I. M.
700 1 $aALVES, L. R.
700 1 $aMARIN, A.
700 1 $aARAUJO, L. M.
700 1 $aBALSANELLI, E.
700 1 $aBAURA, V. A.
700 1 $aCHUBATSU, L. S.
700 1 $aFAORO, H.
700 1 $aFAVETTI, A.
700 1 $aFRIEDERMANN, G.
700 1 $aGLIENKE, C.
700 1 $aKARP, S.
700 1 $aKAVA-CORDEIRO, V.
700 1 $aRAITTZ, R. T.
700 1 $aRAMOS, H. J. O.
700 1 $aRIBEIRO, E. M. S. F.
700 1 $aRIGO, L. U.
700 1 $aROCHA, S. N.
700 1 $aSCHWAB, S.
700 1 $aSILVA, A. G.
700 1 $aSOUZA, E. M.
700 1 $aMICHELLE Z. TADRA-SFEIR
700 1 $aTORRES, R. A.
700 1 $aDABUL, A. N. G.
700 1 $aSOARES, M. A. M.
700 1 $aGASQUES, L. S.
700 1 $aGIMENES, C. C. T.
700 1 $aVALLE, J. S.
700 1 $aCIFERRI, R. R.
700 1 $aCORREA, L. C.
700 1 $aMURACE, N. K.
700 1 $aPAMPHILE, J. A.
700 1 $aPATUSSI, E. V.
700 1 $aPRIOLI, A. J.
700 1 $aPRIOLI, S. M. A.
700 1 $aROCHA, C. L. M. S. C.
700 1 $aARANTES, O. M. N.
700 1 $aFURLANETO, M. C.
700 1 $aGODOY, L. P.
700 1 $aOLIVEIRA, C. E. C.
700 1 $aSATORI, D.
700 1 $aVILAS-BOAS, L. A.
700 1 $aWATANABE, M. A. E.
700 1 $aDAMBROS, B. P.
700 1 $aGUERRA, M. P.
700 1 $aMATHIONI, S. M.
700 1 $aSANTOS, K. L.
700 1 $aSTEINDEL, M.
700 1 $aVERNAL, J.
700 1 $aBARCELLOS, F. G.
700 1 $aCAMPO, R. J.
700 1 $aCHUEIRE, L. M. O.
700 1 $aNICOLÁS, M. F.
700 1 $aPEREIRA-FERRARI, L.
700 1 $aSILVA, J. L. da C.
700 1 $aGIOPPO, N. M. R.
700 1 $aMARGARIDO, V. P.
700 1 $aMENCK-SOARES, M. A.
700 1 $aPINTO, F. G. S.
700 1 $aSIMÃO, R. de C. G.
700 1 $aTAKAHASHI, E. K.
700 1 $aYATES, M. G.
700 1 $aSOUZA, E. M.
773 $tPLoS Genetics$gv. 7, n. 5, p. 1-10, may 2011.
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