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| 146. |  | MARTÍNEZ, C.P.; TORRES, E.A.; CHATEL, M.; MOSQUERA, G.; DUITAMA, J.; ISHITANI, M.; SELVARAJ, M.; DEDICOVA, B.; TOHME, J.; GRENIER, C.; LORIEUX, M.; CRUZ, M.; BERRÍO, L.; CORREDOR, E.; ZORRILLA DE SAN MARTÍN, G.; BRESEGHELLO, F.; PEIXOTO, O.; COLOMBARI FILHO, J.M.; CASTRO, A. PEREIRA DE; LOPES, S.I. GINDRI; BARBOSA, M.; FUNCK, G.R. DALTROZZO; BLANCO, P.H.; PÉREZ DE VIDA, F.; MOLINA, F.; ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; CARRACELAS, G.; MARIN, A.; CORREA-VICTORIA, F.; CAMARGO, I.; BRUZZONE, C.B . Rice breeding in Latin America. Plant Breeding Reviews, 2014 v.38, p. 187-277., 2014| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 147. | | MEUS, L. D.; SILVA, M. R. DA; RIBAS, G. G.; ZANON, A. J.; ROSSATO, I. G.; PEREIRA, V. F.; PILECCO, I. B.; RIBEIRO, B. SAN MARTIN ROLIM; SOUZA, P. M. DE; NASCIMENTO, M. DE F. DO.; POERSCH, A. H.; DUARTE JUNIOR, A. J.; QUINTERO, C. E.; CARRACELAS, G.; CARMONA, L. DE C.; STRECK, N. A. Ecofisiología del arroz buscando altos rendimientos. [Ecophysiology of rice for reaching high yield]. Santa Maria, RS (Brasil): FieldCrops, 2020. 312 p.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 148. | | MOLINA, F.; BLANCO, P.H.; PÉREZ DE VIDA, F.; MARTINEZ, S.; BONNECARRERE, M.; ROSAS, J.; PEREIRA, A.; CARRACELAS, G. Parao : nueva opción productiva "Arroz (ACA); 2013, v. 15, no. 74, p. 38-40"| Biblioteca(s): INIA Treinta y Tres. |
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| 156. | | PÉREZ DE VIDA, F.; BLANCO, P.H.; CARRACELAS, G.; VARGAS, J. Evaluación final de cultivares : Paso Farías. ln: JORNADA ANUAL ARROZ, 2016, INIA TREINTA Y TRES, TREINTA Y TRES, UY. Arroz: resultados experimentales 2015-2016. Treinta y Tres, (Uruguay): INIA, 2016. cap. 3, p. 16-17 (INIA Serie Actividades de Difusión;765)| Biblioteca(s): INIA Treinta y Tres. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
01/02/2018 |
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Actualizado : |
24/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 1 |
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Autor : |
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. |
|
Afiliación : |
M. A. LIEBIG, USDA-ARS; A. J. FRANZLUEBBERS, USDA-ARS; C. ALVAREZ, National Institute of Agricultural Technology, Manfredi, Cordoba, Argentina; JORGE SAWCHIK PINTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
MAGGnet: an international network to foster mitigation of agricultural greenhouse gases. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Carbon Management v. 7 (3-4): 243-248, 2016. OPEN ACCESS. |
|
DOI : |
10.1080/17583004.2016.1180586 |
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Idioma : |
Inglés |
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Notas : |
Published online: 31 May 2016.
This work was authored as part of the Contributor's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. |
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Contenido : |
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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Palabras claves : |
CARBON SEQUESTRATION; GASES DE EFECTO ESTUFA; GLOBAL RESEARCH ALLIANCE; GREENHOUSE GASES; MANAGING AGRICULTURAL GREENHOUSE GASES NETWORK; NITROUS OXIDE. |
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Thesagro : |
GASES DE EFECTO INVERNADERO; OXIDO NITROSO; SECUESTRO DEL CARBONO. |
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Asunto categoría : |
P06 Recursos renovables de energía |
|
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8263/1/MAGGnet-art.-Carbon-Management-2016-Sawchick-J..pdf
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|
Marc : |
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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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