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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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. |
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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. |
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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 |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8263/1/MAGGnet-art.-Carbon-Management-2016-Sawchick-J..pdf
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Marc : |
LEADER 03819naa a2200805 a 4500
001 1058021
005 2021-06-24
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1080/17583004.2016.1180586$2DOI
100 1 $aLIEBIG, M. A.
245 $aMAGGnet$ban international network to foster mitigation of agricultural greenhouse gases.$h[electronic resource]
260 $c2016
500 $aPublished 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.
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.
650 $aGASES DE EFECTO INVERNADERO
650 $aOXIDO NITROSO
650 $aSECUESTRO DEL CARBONO
653 $aCARBON SEQUESTRATION
653 $aGASES DE EFECTO ESTUFA
653 $aGLOBAL RESEARCH ALLIANCE
653 $aGREENHOUSE GASES
653 $aMANAGING AGRICULTURAL GREENHOUSE GASES NETWORK
653 $aNITROUS OXIDE
700 1 $aFRANZLUEBBERS, A. J.
700 1 $aALVAREZ, C.
700 1 $aCHIESA, T. D.
700 1 $aLEWCZUK, N.
700 1 $aPIÑEIRO, G.
700 1 $aPOSSE, G.
700 1 $aYAHDJIAN, L.
700 1 $aGRACE, P.
700 1 $aCABRAL, O. M. R.
700 1 $aMARTIN NETO, L.
700 1 $aRODRIGUES, R. DE A. R.
700 1 $aAMIRO, B.
700 1 $aANGERS, D.
700 1 $aHAO, X.
700 1 $aOELBERMANN, M.
700 1 $aTENUTA, M.
700 1 $aMUNKHOLM, L. J.
700 1 $aREGINA, K.
700 1 $aCELLIER, P.
700 1 $aEHRHARDT, F.
700 1 $aRICHARD, G.
700 1 $aDECHOW, R.
700 1 $aAGUS, F.
700 1 $aWIDIARTA, N.
700 1 $aSPINK, J.
700 1 $aBERTI, A.
700 1 $aGRIGNANI, C.
700 1 $aMAZZONCINI, M.
700 1 $aORSINI, R.
700 1 $aROGGERO, P. P.
700 1 $aSEDDAIU, G.
700 1 $aTEI, F.
700 1 $aVENTRELLA, D.
700 1 $aVITALI, G.
700 1 $aKISHIMOTO-MO, A.
700 1 $aSHIRATO, Y.
700 1 $aSUDO, S.
700 1 $aSHIN, J.
700 1 $aSCHIPPER, L.
700 1 $aSAVÉ, R.
700 1 $aLEIFELD, J.
700 1 $aSPADAVECCHIA, L.
700 1 $aYELURIPATI, J.
700 1 $aDEL GROSSO, S.
700 1 $aRICE, C.
700 1 $aSAWCHIK, J.
773 $tCarbon Management$gv. 7 (3-4): 243-248, 2016. OPEN ACCESS.
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INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
08/11/2017 |
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Actualizado : |
28/09/2018 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
AZZIMONTI, G.; GARCIA, R.; GONZALEZ, N.; DOMENIGUINI, V.; CAROLINA SAINT-PIERRE, C.; SINGH, P.K.; QUINCKE, M.; PEREYRA, S.; GERMAN, S. |
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Afiliación : |
GUSTAVO AZZIMONTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICHARD ANSELMO GARCIA USUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NESTOR RICARDO GONZALEZ PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VANESA DOMENIGUINI RIVOIR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA SAINT-PIERRE, Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, México .; PAWAN K. SINGH2, Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, México .; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ANTONIA PEREYRA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Field-based phenotyping for wheat diseases within a new multiple diseases platform in Uruguay: promoting germplasm sharing to increase resistance diversity. |
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Complemento del título : |
P 309-Topic: Future of Wheat Improvement in Different Parts of the World. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
In: Buerstmayr, H.; Lang-Mladek, C.; Steiner, B.; Michel, S.; Buerstmayr, M.; Lemmens, M.; Vollmann, J.; Grausgruber, H. (Eds.). Proceedings of the 13th International Wheat Genetics Symposium. Tulln, Austria; April 23-28, 2017. |
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Páginas : |
p.485. |
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Idioma : |
Inglés |
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Contenido : |
Key message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expression of plant resistance is optimal. Disease variables are measured at more than one date, to determine the response of the material to the disease at different moments of the epidemic development. Plant height, heading date, growth stage at disease scoring dates and agronomic score are also measured. In 2016, 1544 genotypes were screened for the three diseases. These materials had diversified origins (ten different institutions, public and private, from six countries) and were of different types: from recent commercialized cultivars to ancient ones, advanced lines, International CIMMYT nurseries, mapping populations or association mapping panels. Disease variables were measured at three dates for all materials, except for FHB trial, with two measurements dates. Genotypes could be selected because of their high level of resistance for each set of material (from each institution) in the FHB, STB and LR trial. A 9% to 25% range of genotypes were found highly resistant when selected only from one disease. From these resistant genotypes, up to 5% were resistant against two diseases and near 2% were resistant to the three diseases screened. Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the precision and prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines. MenosKey message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expressio... Presentar Todo |
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Palabras claves : |
ENFERMEDADES DE LAS PLANTAS; ENFERMEDADES DEL TRIGO; FENOTIPADO; WHEAT. |
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Thesagro : |
RESISTENCIA; TRIGO; URUGUAY. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 03972nam a2200301 a 4500
001 1057734
005 2018-09-28
008 2017 bl uuuu u01u1 u #d
100 1 $aAZZIMONTI, G.
245 $aField-based phenotyping for wheat diseases within a new multiple diseases platform in Uruguay$bpromoting germplasm sharing to increase resistance diversity.$h[electronic resource]
260 $aIn: Buerstmayr, H.; Lang-Mladek, C.; Steiner, B.; Michel, S.; Buerstmayr, M.; Lemmens, M.; Vollmann, J.; Grausgruber, H. (Eds.). Proceedings of the 13th International Wheat Genetics Symposium. Tulln, Austria; April 23-28$c2017
300 $ap.485.
520 $aKey message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines. Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expression of plant resistance is optimal. Disease variables are measured at more than one date, to determine the response of the material to the disease at different moments of the epidemic development. Plant height, heading date, growth stage at disease scoring dates and agronomic score are also measured. In 2016, 1544 genotypes were screened for the three diseases. These materials had diversified origins (ten different institutions, public and private, from six countries) and were of different types: from recent commercialized cultivars to ancient ones, advanced lines, International CIMMYT nurseries, mapping populations or association mapping panels. Disease variables were measured at three dates for all materials, except for FHB trial, with two measurements dates. Genotypes could be selected because of their high level of resistance for each set of material (from each institution) in the FHB, STB and LR trial. A 9% to 25% range of genotypes were found highly resistant when selected only from one disease. From these resistant genotypes, up to 5% were resistant against two diseases and near 2% were resistant to the three diseases screened. Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the precision and prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
650 $aRESISTENCIA
650 $aTRIGO
650 $aURUGUAY
653 $aENFERMEDADES DE LAS PLANTAS
653 $aENFERMEDADES DEL TRIGO
653 $aFENOTIPADO
653 $aWHEAT
700 1 $aGARCIA, R.
700 1 $aGONZALEZ, N.
700 1 $aDOMENIGUINI, V.
700 1 $aCAROLINA SAINT-PIERRE, C.
700 1 $aSINGH, P.K.
700 1 $aQUINCKE, M.
700 1 $aPEREYRA, S.
700 1 $aGERMAN, S.
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