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| Registros recuperados : 27 | |
| 8. |  | SARMENTO, E. C.; GIASSON, E.; WEBER, E.; FLORES, C. A.; HASENACK, H. Comparasion of four machine learning algorithms for digital soil mapping in the vale dos vinhedos, RS, Brazil. In: INTERNATIONAL WORKSHOP ON DIGITAL SOIL MAPPING., 4 Rome, p. 1-5 maio, 2010.| Biblioteca(s): Embrapa Clima Temperado. |
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| 9. | | SARMENTO, E. C.; WEBER, E.; GIASSON, E.; FLORES, C. A.; HASENACK, H. Comparação entre quatro algoritmos de aprendizagem de máquina no mapeamento digital de solos do Vale dos Vinhedos, RS, Brasil. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 32., Fortaleza. Anais... Fortaleza: UFC, 2009.| Biblioteca(s): Embrapa Clima Temperado. |
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| 10. | | SARMENTO, E. C.; WEBER, E. J.; GIASSON, E.; FLORES, C. A.; HASENACK, H. Comparação entre quatro algoritmos de aprendizagem de máquina no mapeamento digital de solos do vale dos vinhedos, RS, Brasil. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 32., 2009. Fortaleza. Resumos... Fortaleza: SBCS, 2009.| Biblioteca(s): Embrapa Clima Temperado. |
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| 12. | | STAMMEL, J. G.; KAMPF, N.; AZEVEDO, A. C.; GIASSON, E.; MELLO, P. F. Efeito residual da calagem em propriedades quimicas e fisicas da camada aravel em latossolo bruno distrofico do Rio Grande do Sul. IN: CONGRESSO BRASILEIRO DE CIÊNÇIA DO SOLO, 25., 1995, Viçosa, MG. Resumos expandidos. Viçosa: UFV, 1995. v.2, p. 1103-1105.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 13. | | SARMENTO, E. C.; FLORES, C. A.; WEBER, E.; HASENACK, H.; PÖTER, R. O.; GIASSON, E. Contribution of soli for tipifiyng wines in four geographical indications at Serra Gaúcha, Brazil. In: CONGRES DES TERROIRS VITIVINICOLES, 9., 2012, Bourgogne/Champagne. [Annales...] [S.l.: s.n.], 2012. p. 4-11.| Biblioteca(s): Embrapa Clima Temperado. |
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| 15. | | BORTOLON, E. S. O.; MIELNICZUK, J.; TORNQUIST, C. G.; LOPES, F.; GIASSON, E.; BERGAMASCHI, H. Potencial de uso do modelo Century e SIG para avaliar o impacto da agricultura sobre estoques regionais de carbono orgânico do solo. Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 36, n. 3, p. 831-849, maio/jun. 2012.| Biblioteca(s): Embrapa Solos / UEP-Recife. |
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| 16. | | SARMENTO, E. C.; GIASSON, E.; WEBER, E.; FLORES, C. A.; HASENACK, H. Prediction of soil orders with high spatial resolution: response of different classifiers to sampling density. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 9, p. 1395-1403, set. 2012. p.1395-1403 Título em português: Predição de ordens de solos com alta resolução espacial: resposta de diferentes classificadores à densidade de amostragem.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 18. | | LOPES, F.; MERTEN, G. H.; FRANZEN, M.; GIASSON, E.; HELFER, F.; CYBIS, L. F. A. Utilização de P-Index em uma bacia hidrográfica através de técnicas de geoprocessamento. Revista Brasileira de Engenharia Agrícola e Ambiental, v.11, n.3,p.312-317, maio/jun.2007. 1 CD ROM| Biblioteca(s): Embrapa Algodão. |
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| 19. | | SILVA NETO, L. de F. da; INDA, A. V.; NASCIMENTO, P. C. do; GIASSON, E.; SCHMITT, C.; CURI, N. Characterization and classification of floodplain soils in the Porto Alegre metropolitan region, RS, Brazil. Ciência e Agrotecnologia, v. 39, n. 5, p. 423-434, set./out. 2015.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 27 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Solos. |
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Data corrente: |
07/06/2016 |
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Data da última atualização: |
14/03/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
LIEBIG, M. A.; FRANZLUEBBERS, A. J.; ALVAREZ, C.; CHIESA, T. D.; LEWCZUK, N.; PIÑEIRO, G.; POSSE, G.; YAHDJIAN, L.; GRACE, P.; CABRAL, O. M. R.; MARTIN NETO, L.; RODRIGUES, R. de A. R.; AMIRO, B.; ANGERS, D.; HAO, X.; OELBERMANN, M.; TENUTA, M.; MUNKHOLM, L. J.; REGINA, K.; CELLIER, P.; EHRHARDT, F.; RICHARD, G.; DECHOW, R.; AGUS, F.; WIDIARTA, N.; SPINK, J.; BERTI, A.; GRIGNANI, C.; MAZZONCINI, M.; ORSINI, R.; ROGGERO, P. P.; SEDDAIU, G.; TEI, F.; VENTRELLA, D.; VITALI, G.; KISHIMOTO-MO, A.; SHIRATO, Y.; SUDO, S.; SHIN, J.; SCHIPPER, L.; SAVÉ, R.; LEIFELD, J.; SPADAVECCHIA, L.; YELURIPATI, J.; DEL GROSSO, S.; RICE, C.; SAWCHIK, J. |
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Afiliação: |
M. A. LIEBIG, USDA-ARS; A. J. FRANZLUEBBERS, USDA-ARS; C. ALVAREZ, National Institute of Agricultural Technology, Manfredi, Cordoba, Argentina; T. D. CHIESA, IFEVA, Facultad de Agronomía; N. LEWCZUK, National Institute of Agricultural Technology, Buenos Aires, Argentina; G. PIÑEIRO, IFEVA, Facultad de Agronomía, Universidad de Buenos Aires; G. POSSE, National Institute of Agricultural Technology, Buenos Aires, Argentina; L. YAHDJIAN, IFEVA, Facultad de Agronomía, Universidad de Buenos Aires; P. GRACE, Queensland University of Technology, Brisbane, Queesland, Australia; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; LADISLAU MARTIN NETO, DE/P&D; RENATO DE ARAGAO RIBEIRO RODRIGUES, CNPS; B. AMIRO, University of Manitoba, Winnipeg, Manitoba, Canada; D. ANGERS, Agriculture and Agri-Food Canada, Quebec, Quebec, Canada; X. HAO, Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada; M. OELBERMANN, University of Waterloo, Waterloo, Ontario, Canada; M. TENUTA, University of Manitoba, Department of Soil Science, Winnipeg, Manitoba, Canada; L. J. MUNKHOLM, Dept. of Agroecology, Aarhus University, Denmark; K. REGINA, Natural Resources Institute Finland; P. CELLIER, French National Institute for Agricultural Research (INRA); F. EHRHARDT, French National Institute for Agricultural Research (INRA); G. RICHARD, French National Institute for Agricultural Research (INRA); R. DECHOW, Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany; F. AGUS, Indonesian Soil Research Institute; N. WIDIARTA, Indonesian Center for Food Crop Research and Development; J. SPINK, Oak Park Crops Research Centre, Teagasc, Oak Park, Carlow, Ireland; A. BERTI, Dipartimento di Agronomia Animali Alimenti risorse Naturali e Ambiente (DAFNAE), Universita di Padova, Agripolis; C. GRIGNANI, Department of Agricultural, Forest and Food Sciences, University of Turin; M. MAZZONCINI, Department of Agronomy and Agroecosystem Management (DAGA), University of Pisa; R. ORSINI, Dipartimento di Scienze Agrarie Alimentari e Ambientali, Universita Politecnica delle Marche; P. P. ROGGERO, Nucleo di Ricerca sulla Desertificazione and Dipartimento di Agraria, Universita di SassarI; G. SEDDAIU, Nucleo di Ricerca sulla Desertificazione and Dipartimento di Agraria, Universita di Sassari; F. TEI, Dept of Agricultural, Food and Environmental Sciences, University of Perugia; D. VENTRELLA, Research Unit for Cropping Systems in Dry Environments (CRA-SCA); G. VITALI, Dipartimento di Scienze agrarie, Alma Mater Studiorum, Universita di Bologna; A. KISHIMOTO-MO, National Institute for Agro-Environmental Sciences, Japan; Y. SHIRATO, National Institute for Agro-Environmental Sciences, Japan; S. SUDO, National Institute for Agro-Environmental Sciences, Japan; J. SHIN, National Academy of Agricultural Science, Seoul, South Korea; L. SCHIPPER, Environmental Research Institute, University of Waikato, New Zealand; R. SAVÉ, Institute of Agrifood Research and Technology (IRTA), Barcelona, Catalonia, Spain; J. LEIFELD, Agroscope, Zurich, Switzerland; L. SPADAVECCHIA, Department for Environment, Food & Rural Affairs, London; J. YELURIPATI, The James Hutton Institute, Craigiebuckler, Scotland; S. DEL GROSSO, USDA Agricultural Research Service; C. RICE, Kansas State University; J. SAWCHIK, National Institute for Agricultural Research Uruguay, Montevideo, Uruguay. |
|
Título: |
MAGGnet: an international network to foster mitigation of agricultural greenhouse gases. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
Carbon Management, v. 7, N. 3-4, P. 243-248, 2016. |
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DOI: |
10.1080/17583004.2016.1180586 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Research networks provide a framework for review, synthesis and systematic testing of theories by multiple scientists across international borders critical for addressing global-scale issues. In 2012, a GHG research network referred to as MAGGnet (Managing Agricultural Greenhouse Gases Network) was established within the Croplands Research Group of the Global Research Alliance on Agricultural Greenhouse Gases (GRA). With involvement from 46 alliance member countries, MAGGnet seeks to provide a platform for the inventory and analysis of agricultural GHG mitigation research throughout the world. To date, metadata from 315 experimental studies in 20 countries have been compiled using a standardized spreadsheet. Most studies were completed (74%) and conducted within a 1-3-year duration (68%). Soil carbon and nitrous oxide emissions were measured in over 80% of the studies. Among plant variables, grain yield was assessed across studies most frequently (56%), followed by stover (35%) and root (9%) biomass. MAGGnet has contributed to modeling efforts and has spurred other research groups in the GRA to collect experimental site metadata using an adapted spreadsheet. With continued growth and investment, MAGGnet will leverage limited-resource investments by any one country to produce an inclusive, globally shared meta-database focused on the science of GHG mitigation. |
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Palavras-Chave: |
Gases de efeito estufa; Global Research Alliance; Óxido nitroso; Sequestro de carbono. |
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Thesaurus NAL: |
Carbon sequestration; Greenhouse gases; Nitrous oxide. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157589/1/2016AP46.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144121/1/2016-008.pdf
|
|
Marc: |
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100 1 $aLIEBIG, M. A.
245 $aMAGGnet$ban international network to foster mitigation of agricultural greenhouse gases.$h[electronic resource]
260 $c2016
520 $aResearch networks provide a framework for review, synthesis and systematic testing of theories by multiple scientists across international borders critical for addressing global-scale issues. In 2012, a GHG research network referred to as MAGGnet (Managing Agricultural Greenhouse Gases Network) was established within the Croplands Research Group of the Global Research Alliance on Agricultural Greenhouse Gases (GRA). With involvement from 46 alliance member countries, MAGGnet seeks to provide a platform for the inventory and analysis of agricultural GHG mitigation research throughout the world. To date, metadata from 315 experimental studies in 20 countries have been compiled using a standardized spreadsheet. Most studies were completed (74%) and conducted within a 1-3-year duration (68%). Soil carbon and nitrous oxide emissions were measured in over 80% of the studies. Among plant variables, grain yield was assessed across studies most frequently (56%), followed by stover (35%) and root (9%) biomass. MAGGnet has contributed to modeling efforts and has spurred other research groups in the GRA to collect experimental site metadata using an adapted spreadsheet. With continued growth and investment, MAGGnet will leverage limited-resource investments by any one country to produce an inclusive, globally shared meta-database focused on the science of GHG mitigation.
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700 1 $aMARTIN NETO, L.
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773 $tCarbon Management$gv. 7, N. 3-4, P. 243-248, 2016.
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Embrapa Meio Ambiente (CNPMA) |
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