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Registro Completo |
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
06/09/2019 |
Data da última atualização: |
26/08/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
TOMAS, W. M.; ROQUE, F. de O.; MORATO, R. G.; MÉDICI, P. E.; CHIARAVALLOTI, R. M.; TORTATO, F. R.; PENHA, J. M. F.; IZZO, T. J.; GARCIA, L. C.; LOURIVAL, R. F. F.; GIRARD, P.; ALBUQUERQUE, N. R.; ALMEIDA-GOMES, M.; ANDRADE, M. H. DA S.; ARAÚJO, F. A. S.; ARAÚJO, A. C.; ARRUDA, E. C. DE.; ASSUNÇÃO, V. A.; BATTIROLA, L. D.; BENITES, M.; BOLZAN, F. P.; BOOCK, J. C.; BORTOLOTTO, I. M.; BRASIL, M. DA S.; CAMILO, A. R.; CAMPOS, Z.; CARNIELLO, M. A.; CATELLA, A. C.; CHEIDA, C. C.; CRAWSHAW JR. P. G.; CRISPIM, S. M. A.; DAMASCENO JUNIOR, G. A.; DESBIEZ, A. L. J.; DIAS, F. A.; EATON, D. P.; FAGGIONI, G. P.; FARINACCIO, M. A.; FERNANDES, J. F. A.; FERREIRA, V. L.; FISCHER, E. A.; FRAGOSO, C. E.; FREITAS, G. O.; GALVANI, F.; GARCIA, A. S.; GARCIA, C. M.; GRACIOLLI, G.; GUARIENTO, R. D.; GUEDES, N. M. R.; GUERRA, A.; HERRERA, H. M.; HOOGESTEIJN, R.; IKEDA, S. C.; JULIANO, R. S.; KANTEK, D. L. Z. K.; KEUROGHLIAN, A.; LACERDA, A. C. R.; LACERDA, A. L. R.; LANDEIRO, V. L.; LAPS, R. R.; LAYME, V.; LEIMGRUBER, P.; ROCHA, F. L.; MAMEDE, S.; MARQUES, D. K. S.; MARQUES, M. I.; MATEUS, L. A. F.; MORAES R. N.; MOREIRA, T. A.; MOURAO, G.; NICOLA, R. D.; NOGUEIRA, D. G.; NUNES, A. P.; CUNHA, C. N. DA.; OLIVEIRA, M. D. de; OLIVEIRA, M. R.; PAGGI, G. M.; PELLEGRIN, A. O.; PEREIRA, G. M. F.; PERES, I. A. H. F. S.; PINHO, J. B.; POTT, A.; PROVETE, D. B.; REIS, V. D. A. dos; REIS, L. K. DOS; RENAUD, P. C.; RIBEIRO, D. B.; ROSSETTO, O. C.; SABINO, J.; RUMIZ, D.; SALIS, S. M.; SANTANA, D. J.; SANTOS, S. A.; SARTORI, Â. L.; SATO, M.; SCHUCHMANN, K-L.; SCREMIN-DIAS, E.; SEIXAS, G. H. F.; SEVERO-NETO, F.; SIGRIST, M. R.; SILVA, A.; SILVA, C. J.; SIQUEIRA, A. L.; SORIANO, B. M. A.; SOUSA, L. M.; SOUZA, F. L.; STRUSSMANN, C.; SUGAI, L. S. M.; TOCANTINS, N.; URBANETZ, C.; VALENTE-NETO, F.; VIANA, D. P.; YANOSKY, A.; JUNK, W. J. |
Afiliação: |
WALFRIDO MORAES TOMAS, CPAP; FABIO DE OLIVEIRA ROQUE, UFMS; RONALDO G. MORATO, ICMBio/CNAP; PATRÍCIA EMÍLIA MÉDICI, IPE; RAFAEL M. CHIARAVALLOTI, IPE; FERNANDO R. TORTATO, PANTHERA, POCONÉ, MT; JERRY M. F. PENHA, UFMS; THIAGO J. IZZO, UFMT; LETICIA C. GARCIA, UFMS; REINALDO F. F. LOURIVAL, NATURE AND CULTURE INTERNATIONAL - NCI; PIERRE GIRARD, UFMT; NELSON R. ALBUQUERQUE, UFMS; MAURICIO ALMEIDA-GOMES, UFMS; MARIA H. DA SILVA ANDRADE, UFMS; FLAVIA A. S. ARAÚJO, WWW-Brasil; ANDREA C. ARAÚJO, UFMS; ERICA C. DE ARRUDA, UFMT/INAU; VIVIAN A. ASSUNÇÃO, UFMS; LEANDRO D. BATTIROLA, UFMT; MARISTELA BENITES, INSTITUTO MAMEDE DE PESQUISA AMBIENTAL E ECOTURISMO; FABIO P. BOLZAN, UFMS; JULIA C. BOOCK, WWW-Brasil; IEDA M. BORTOLOTTO, UFMS; MARIVAINE DA SILVA BRASIL, UFMS-CPAN; ANDRE R. CAMILO, XARAYES; ZILCA MARIA DA SILVA CAMPOS, CPAP; MARIA A. CARNIELLO, UNEMAT; AGOSTINHO CARLOS CATELLA, CPAP; CAROLINA C. CHEIDA, ICB; PETER G. CRAWSHAW JR., ICMBio/CENAP; SANDRA MARA ARAUJO CRISPIM, CPAP; GERALDO A. D. JUNIOR, UFMS; ARNAUD L. J. DESBIEZ, ICAS; FELIPE A. DIAS, SOS Pantanal; DONALD P. EATON, WWW-Brasil; GABRIEL P. FAGGIONI, IFMS - Campus Corumbá; MARIA A. FARINACCIO, UFMS-CPAN; JULIO F. A. FERNANDES, MUPAN; VANDA L. FERREIRA, UFMS; ERICH A. FISCHER, UFMS; CARLOS E. FRAGOSO, ASSOCIAÇÃO ONÇAFARI; GABRIEL O. FREITAS, UFMS-CPAN/XARAYES; FABIO GALVANI, CPAP; AUREA S. GARCIA, MUPAN; CAROLINA M. GARCIA, INDEPENDENT RESEARCHER, BRAZIL; GUSTAVO GRACIOLLI, UFMS; RAFAEL D. GUARIENTO, UFMS; NEIVA M. R. GUEDES, INSTITUTO ARARA AZUL/UNIDERP; ANGÉLICA GUERRA, UFMS; HEITOR M. HERRERA, UCDB; RAFAEL HOOGESTEIJN, PANTHERA, POCONÉ, MT.; SOLANGE C. IKEDA, UNEMAT; RAQUEL SOARES JULIANO, CPAP; DANIEL L. Z. K. KANTEK, ICMBio; ALEXINE KEUROGHLIAN, IUCN/SSC; ANA C. R. LACERDA, INPE; ANDRÉ L. R. LACERDA, UFMT; VICTOR L. LANDEIRO, UFMT; RUDI R. LAPS, UFMS; VIVIANE LAYME, UFMT; PETER LEIMGRUBER, SMITHSONIAN CONSERVATION BIOLOGY INSTITUTE; FABIANA L. ROCHA, UFPB; SIMONE MAMEDE, INSTITUTO MAMEDE DE PESQUISA AMBIENTAL E ECOTURISMO; DEBORA KARLA SILVESTRE MARQUES, CPAP; MARINEZ I. MARQUES, UFMT; LÚCIA A. F. MATEUS, UFMT; ROSANA N. MORAES, SMITHSONIAN CONSERVATION BIOLOGY INSTITUTE; THAMY A. MOREIRA, INSTITUTO ARARA AZUL; GUILHERME DE MIRANDA MOURAO, CPAP; RAFAELA D. NICOLA, MUPAN; DAVIDSON G. NOGUEIRA, UFMS; ALESSANDRO P. NUNES, INDEPENDENT RESEARCHER, BRAZIL; CATIA NUNES DA CUNHA, UFMT/CPP/INAU; MARCIA DIVINA DE OLIVEIRA, CPAP; MAXWELL R. OLIVEIRA, UFMS/XARAYES; GECELE M. PAGGI, UFMS-CPAN; AIESCA OLIVEIRA PELLEGRIN, CPAP; GUELLITY M. F. PEREIRA, UFMS; IGOR ALEXANDRE HANY FUZETA S PERES, CPAP; JOÃO B. PINHO, UFMT; ARNILDO POTT, UFMS; DIOGO B. PROVETE, UFMS; VANDERLEI DONISETI ACASSIO DOS REIS, CPAP; LETÍCIA K. DOS REIS, UFMS; PIERRE-CYRIL RENAUD, UNIVERSITÉ D’ANGERS, FRANCE; DANILO B. RIBEIRO, UFMS; ONELIA C. ROSSETTO, UFMT; JOSÉ SABINO, UNIDERP; DAMIÁN RUMIZ, MUSEO DE HISTORIA NATURAL NOEL KEMPFF MERCADO; SUZANA MARIA DE SALIS, CPAP; DIEGO J. SANTANA, UFMS; SANDRA APARECIDA SANTOS, CPAP; ÂNGELA L. SARTORI, UFMS; MICHELE SATO, UFMT; KARL-L. SCHUCHMANN, CO.BRA Computational Bioacustics Research Unit, INAU- CNPq/UFMT; EDNA SCREMIN-DIAS, UFMS; GLÁUCIA H. F. SEIXAS, FUNDAÇÃO NEOTRÓPICA DO BRASIL; FRANCISCO SEVERO-NETO, UFMS; MARIA R. SIGRIST, UFMS; AGNALDO SILVA, UFMS-CPAN; CAROLINA J. SILVA, UNEMAT; ANDRÉ L. SIQUEIRA, Eco; BALBINA MARIA ARAUJO SORIANO, CPAP; LAERCIO M. SOUSA, REPAMS; FRANCO L. SOUZA, UFMS; CHRISTINE STRUSSMANN, UFMT; LARISSA S. M. SUGAI, UNESP; NELY TOCANTINS, UFMT; CATIA URBANETZ, CPAP; FRANCISCO VALENTE-NETO, UFMS; DIEGO P. VIANA, UFMS; ALBERTO YANOSKY, ASSOCIACIÓN GUYRA PARAGUAY; WOLFGANG J. JUNK, UFMT/CPP/INAU. |
Título: |
Sustainability Agenda for the Pantanal Wetland: Perspectives on a Collaborative Interface for Science, Policy, and Decision-Making. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Tropical Conservation Science, v. 12, p. 1-30, 2019. |
DOI: |
10.1177/1940082919872634 |
Idioma: |
Inglês |
Conteúdo: |
Building bridges between environmental and political agendas is essential nowadays in face of the increasing human pressure on natural environments, including wetlands. Wetlands provide critical ecosystem services for humanity and can generate a considerable direct or indirect income to the local communities. To meet many of the sustainable development goals, we need to move our trajectory from the current environmental destructive development to a wiser wetland use. The current article contain a proposed agenda for the Pantanal aiming the improvement of public policy for conservation in the Pantanal, one of the largest, most diverse, and continuous inland wetland in the world. We suggest and discuss a list of 11 essential interfaces between science, policy, and development in region linked to the proposed agenda. We believe that a functional science network can booster the collaborative capability to generate creative ideas and solutions to address the big challenges faced by the Pantanal wetland. |
Palavras-Chave: |
Development; Sustainability. |
Thesaurus Nal: |
Biodiversity; Education; Pantanal; Wetlands. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/202352/1/Sustainability-Agenda-2019.pdf
|
Marc: |
LEADER 05148naa a2201549 a 4500 001 2111991 005 2020-08-26 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1177/1940082919872634$2DOI 100 1 $aTOMAS, W. M. 245 $aSustainability Agenda for the Pantanal Wetland$bPerspectives on a Collaborative Interface for Science, Policy, and Decision-Making.$h[electronic resource] 260 $c2019 520 $aBuilding bridges between environmental and political agendas is essential nowadays in face of the increasing human pressure on natural environments, including wetlands. Wetlands provide critical ecosystem services for humanity and can generate a considerable direct or indirect income to the local communities. To meet many of the sustainable development goals, we need to move our trajectory from the current environmental destructive development to a wiser wetland use. The current article contain a proposed agenda for the Pantanal aiming the improvement of public policy for conservation in the Pantanal, one of the largest, most diverse, and continuous inland wetland in the world. We suggest and discuss a list of 11 essential interfaces between science, policy, and development in region linked to the proposed agenda. We believe that a functional science network can booster the collaborative capability to generate creative ideas and solutions to address the big challenges faced by the Pantanal wetland. 650 $aBiodiversity 650 $aEducation 650 $aPantanal 650 $aWetlands 653 $aDevelopment 653 $aSustainability 700 1 $aROQUE, F. de O. 700 1 $aMORATO, R. G. 700 1 $aMÉDICI, P. E. 700 1 $aCHIARAVALLOTI, R. M. 700 1 $aTORTATO, F. R. 700 1 $aPENHA, J. M. F. 700 1 $aIZZO, T. J. 700 1 $aGARCIA, L. C. 700 1 $aLOURIVAL, R. F. F. 700 1 $aGIRARD, P. 700 1 $aALBUQUERQUE, N. R. 700 1 $aALMEIDA-GOMES, M. 700 1 $aANDRADE, M. H. DA S. 700 1 $aARAÚJO, F. A. S. 700 1 $aARAÚJO, A. C. 700 1 $aARRUDA, E. C. DE. 700 1 $aASSUNÇÃO, V. A. 700 1 $aBATTIROLA, L. D. 700 1 $aBENITES, M. 700 1 $aBOLZAN, F. P. 700 1 $aBOOCK, J. C. 700 1 $aBORTOLOTTO, I. M. 700 1 $aBRASIL, M. DA S. 700 1 $aCAMILO, A. R. 700 1 $aCAMPOS, Z. 700 1 $aCARNIELLO, M. A. 700 1 $aCATELLA, A. C. 700 1 $aCHEIDA, C. C. 700 1 $aCRAWSHAW JR. P. G. 700 1 $aCRISPIM, S. M. A. 700 1 $aDAMASCENO JUNIOR, G. A. 700 1 $aDESBIEZ, A. L. J. 700 1 $aDIAS, F. A. 700 1 $aEATON, D. P. 700 1 $aFAGGIONI, G. P. 700 1 $aFARINACCIO, M. A. 700 1 $aFERNANDES, J. F. A. 700 1 $aFERREIRA, V. L. 700 1 $aFISCHER, E. A. 700 1 $aFRAGOSO, C. E. 700 1 $aFREITAS, G. O. 700 1 $aGALVANI, F. 700 1 $aGARCIA, A. S. 700 1 $aGARCIA, C. M. 700 1 $aGRACIOLLI, G. 700 1 $aGUARIENTO, R. D. 700 1 $aGUEDES, N. M. R. 700 1 $aGUERRA, A. 700 1 $aHERRERA, H. M. 700 1 $aHOOGESTEIJN, R. 700 1 $aIKEDA, S. C. 700 1 $aJULIANO, R. S. 700 1 $aKANTEK, D. L. Z. K. 700 1 $aKEUROGHLIAN, A. 700 1 $aLACERDA, A. C. R. 700 1 $aLACERDA, A. L. R. 700 1 $aLANDEIRO, V. L. 700 1 $aLAPS, R. R. 700 1 $aLAYME, V. 700 1 $aLEIMGRUBER, P. 700 1 $aROCHA, F. L. 700 1 $aMAMEDE, S. 700 1 $aMARQUES, D. K. S. 700 1 $aMARQUES, M. I. 700 1 $aMATEUS, L. A. F. 700 1 $aMORAES R. N. 700 1 $aMOREIRA, T. A. 700 1 $aMOURAO, G. 700 1 $aNICOLA, R. D. 700 1 $aNOGUEIRA, D. G. 700 1 $aNUNES, A. P. 700 1 $aCUNHA, C. N. DA. 700 1 $aOLIVEIRA, M. D. de 700 1 $aOLIVEIRA, M. R. 700 1 $aPAGGI, G. M. 700 1 $aPELLEGRIN, A. O. 700 1 $aPEREIRA, G. M. F. 700 1 $aPERES, I. A. H. F. S. 700 1 $aPINHO, J. B. 700 1 $aPOTT, A. 700 1 $aPROVETE, D. B. 700 1 $aREIS, V. D. A. dos 700 1 $aREIS, L. K. DOS 700 1 $aRENAUD, P. C. 700 1 $aRIBEIRO, D. B. 700 1 $aROSSETTO, O. C. 700 1 $aSABINO, J. 700 1 $aRUMIZ, D. 700 1 $aSALIS, S. M. 700 1 $aSANTANA, D. J. 700 1 $aSANTOS, S. A. 700 1 $aSARTORI, Â. L. 700 1 $aSATO, M. 700 1 $aSCHUCHMANN, K-L. 700 1 $aSCREMIN-DIAS, E. 700 1 $aSEIXAS, G. H. F. 700 1 $aSEVERO-NETO, F. 700 1 $aSIGRIST, M. R. 700 1 $aSILVA, A. 700 1 $aSILVA, C. J. 700 1 $aSIQUEIRA, A. L. 700 1 $aSORIANO, B. M. A. 700 1 $aSOUSA, L. M. 700 1 $aSOUZA, F. L. 700 1 $aSTRUSSMANN, C. 700 1 $aSUGAI, L. S. M. 700 1 $aTOCANTINS, N. 700 1 $aURBANETZ, C. 700 1 $aVALENTE-NETO, F. 700 1 $aVIANA, D. P. 700 1 $aYANOSKY, A. 700 1 $aJUNK, W. J. 773 $tTropical Conservation Science$gv. 12, p. 1-30, 2019.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
02/05/2022 |
Data da última atualização: |
14/06/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
OLIVEIRA, L. A. de; SILVA, C. P. da; SILVA, A. Q. da; MENDES, C. T. E.; NUVUNGA, J. J.; NUNES, J. A. R.; PARRELLA, R. A. da C.; BALESTE, M.; BUENO FILHO, J. S. de S. |
Afiliação: |
LUCIANO ANTONIO DE OLIVEIRA, Universidade Federal da Grande Dourados; CARLOS PEREIRA DA SILVA, Universidade Federal de Lavras; ALESSANDRA QUERINO DA SILVA, Universidade Federal da Grande Dourados; CRISTIAN TIAGO ERAZO MENDES, Universidade Federal de Lavras; JOEL JORGE NUVUNGA, Universidade Eduardo Mondlane; JOSÉ AIRTON RODRIGUES NUNES, Universidade Federal de Lavras; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; MARCIO BALESTE, Universidade Federal de Lavras; JÚLIO SÍLVIO DE SOUSA BUENO FILHO, Universidade Federal de Lavras. |
Título: |
Bayesian GGE model for heteroscedastic multienvironmental trials. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Crop Science, v. 62, p. 982-996, 2022. |
DOI: |
https://doi.org/10.1002/csc2.20696 |
Idioma: |
Inglês |
Conteúdo: |
The dissection of genotype×environment interaction (GEI) is a crucial aspect ofthe final stages of plant breeding pipelines and recommendation of cultivars. Linear-bilinear models used to analyze this interaction, such as the additive main effectsand multiplicative interaction (AMMI) and genotype plus GEI (GGE), often assumehomogeneity of the residual variances across environments which affects the esti-mates and therefore, interpretations and conclusions. Our main objective was topropose a GGE model that considers heteroscedasticity across environments usingBayesian inference and to evaluate its implications in the interpretation of real andsimulated data. The GGE model assuming common variance was also fitted for com-parison purposes. The great flexibility of the Bayesian inference is transferred to thebiplots, allowing the construction of credible regions for genotypic and environmen-tal scores. The inference on the stability and adaptability of genotypes might changewhen heteroscedasticity is ignored. When real data are used, different patterns of cor-relations between environments also affect the representativeness and discriminationof the target environment. The modeling of heteroscedasticity allowed the clusteringof environments into subgroups, with similar effects for GEI. The proposed GGEmodel was more adequate and realistic to deal with scenarios of heterogeneous vari-ance in multienvironment trials, which can be useful for exploiting the GEI. |
Palavras-Chave: |
Ensaio de cultivar; Ensaio de rendimento; Estabilidade; Interação meio ambiente; Modelo misto. |
Thesagro: |
Genótipo; Melhoramento Vegetal; Variedade. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/236108/1/Bayesian-GGE-model-for-heteroscedastic.pdf
|
Marc: |
LEADER 02417naa a2200325 a 4500 001 2142572 005 2022-06-14 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1002/csc2.20696$2DOI 100 1 $aOLIVEIRA, L. A. de 245 $aBayesian GGE model for heteroscedastic multienvironmental trials.$h[electronic resource] 260 $c2022 520 $aThe dissection of genotype×environment interaction (GEI) is a crucial aspect ofthe final stages of plant breeding pipelines and recommendation of cultivars. Linear-bilinear models used to analyze this interaction, such as the additive main effectsand multiplicative interaction (AMMI) and genotype plus GEI (GGE), often assumehomogeneity of the residual variances across environments which affects the esti-mates and therefore, interpretations and conclusions. Our main objective was topropose a GGE model that considers heteroscedasticity across environments usingBayesian inference and to evaluate its implications in the interpretation of real andsimulated data. The GGE model assuming common variance was also fitted for com-parison purposes. The great flexibility of the Bayesian inference is transferred to thebiplots, allowing the construction of credible regions for genotypic and environmen-tal scores. The inference on the stability and adaptability of genotypes might changewhen heteroscedasticity is ignored. When real data are used, different patterns of cor-relations between environments also affect the representativeness and discriminationof the target environment. The modeling of heteroscedasticity allowed the clusteringof environments into subgroups, with similar effects for GEI. The proposed GGEmodel was more adequate and realistic to deal with scenarios of heterogeneous vari-ance in multienvironment trials, which can be useful for exploiting the GEI. 650 $aGenótipo 650 $aMelhoramento Vegetal 650 $aVariedade 653 $aEnsaio de cultivar 653 $aEnsaio de rendimento 653 $aEstabilidade 653 $aInteração meio ambiente 653 $aModelo misto 700 1 $aSILVA, C. P. da 700 1 $aSILVA, A. Q. da 700 1 $aMENDES, C. T. E. 700 1 $aNUVUNGA, J. J. 700 1 $aNUNES, J. A. R. 700 1 $aPARRELLA, R. A. da C. 700 1 $aBALESTE, M. 700 1 $aBUENO FILHO, J. S. de S. 773 $tCrop Science$gv. 62, p. 982-996, 2022.
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Embrapa Milho e Sorgo (CNPMS) |
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