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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 : |
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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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
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Fecha actual : |
22/09/2020 |
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Actualizado : |
23/09/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
VILLARINO, S.H.; PINTO, P.; DELLA CHIESA, T.; JOBBÁGY, E.G.; STUDDERT, G.A.; BAZZONI, B.; CONTI, G.; RUFINO, M.; ÁLVAREZ, R.; BODDEY , R.; BAYER, C.; DE F CARVALHO, P.C.; FERNÁNDEZ , R.J.; LATTANZI, F.; OESTERHELD , M.; OYHANTÇABAL, W.; PARUELO, J.; PRAVIA, V.; PIÑEIRO, G. |
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Afiliación : |
SEBASTIÁN H. VILLARINO, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); Argentina Facultad de Ciencias Agrarias (FCA), Universidad Nacional de Mar del Plata (UNMdP), Argentina.; PRISCILA PINTO, IFEVA-Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Argentina.; TOMAS DELLA CHIESA, IFEVA-Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Argentina.; ESTEBAN G. JOBBÁGY, Grupo de Estudios Ambientales - IMASL, Universidad Nacional de San Luis/ CONICET, Ejército de los Andes 950 (5700), San Luis, Argentina.; GUILLERMO A. STUDDERT, Facultad de Ciencias Agrarias (FCA), Universidad Nacional de Mar del Plata (UNMdP), Argentina.; BRUNO BAZZONI, IFEVA-Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Argentina.; GEORGINA CONTI, Instituto Multidisciplinario de Biología Vegetal, Consejo Nacional de Investigaciones Científicas y Técnicas/ Universidad Nacional de Córdoba, IMBiV (CONICET-UNC), Córdoba, Argentina.; MARIANA RUFINO, Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster, UK.; ROBERTO ÁLVAREZ, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina Facultad de Agronomía, Universidad de Buenos Aires, Argentina.; ROBERT BODDEY, Embrapa Agrobiologia, Seropédica, Rio de Janeiro, Brazil.; CIMÉLIO BAYER, Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Brazil.; PAULO C. DE F. CARVALHO, Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Brazil.; ROBERTO J. FERNÁNDEZ, IFEVA-Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Argentina.; FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTÍN OESTERHELD, IFEVA-Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Argentina.; WALTER OYHANTÇABAL, Unidad de Sostenibilidad y Cambio Climático, Ministerio de Ganadería, Agricultura y Pesca, Uruguay; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERVASIO PIÑEIRO, IFEVA-Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Argentina Departamento de Sistemas Ambientales/ Facultad de Agronomía, Universidad de la República, Uruguay. |
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Título : |
The role of South American grazing lands in mitigating greenhouse gas emissions. A reply to: "Reassessing the role of grazing lands in carbon-balance estimations: Meta-analysis and review", by Viglizzo et al., (2019). (Letter). |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Science of the Total Environment, 20 October 2020, Volume 740, Article number 140108. Doi: https://doi-org/10.1016/j.scitotenv.2020.140108 |
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DOI : |
10.1016/j.scitotenv.2020.140108 |
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Idioma : |
Inglés |
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Palabras claves : |
ACUMULACION DE CARBONO; CARBON DIOXIDE; CARBON INVENTORY; CARBONO ORGANICO DEL SUELO; DIÓXIDO DE CARBONO; IPCC; MATERIA ORGANICA DEL SUELO; SOIL ORGANIC CARBON; SOIL ORGANIC MATTER MODELLING. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 01511naa a2200445 a 4500
001 1061284
005 2020-09-23
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1016/j.scitotenv.2020.140108$2DOI
100 1 $aVILLARINO, S.H.
245 $aThe role of South American grazing lands in mitigating greenhouse gas emissions. A reply to$b"Reassessing the role of grazing lands in carbon-balance estimations: Meta-analysis and review", by Viglizzo et al., (2019). (Letter).$h[electronic resource]
260 $c2020
653 $aACUMULACION DE CARBONO
653 $aCARBON DIOXIDE
653 $aCARBON INVENTORY
653 $aCARBONO ORGANICO DEL SUELO
653 $aDIÓXIDO DE CARBONO
653 $aIPCC
653 $aMATERIA ORGANICA DEL SUELO
653 $aSOIL ORGANIC CARBON
653 $aSOIL ORGANIC MATTER MODELLING
700 1 $aPINTO, P.
700 1 $aDELLA CHIESA, T.
700 1 $aJOBBÁGY, E.G.
700 1 $aSTUDDERT, G.A.
700 1 $aBAZZONI, B.
700 1 $aCONTI, G.
700 1 $aRUFINO, M.
700 1 $aÁLVAREZ, R.
700 1 $aBODDEY , R.
700 1 $aBAYER, C.
700 1 $aDE F CARVALHO, P.C.
700 1 $aFERNÁNDEZ , R.J.
700 1 $aLATTANZI, F.
700 1 $aOESTERHELD , M.
700 1 $aOYHANTÇABAL, W.
700 1 $aPARUELO, J.
700 1 $aPRAVIA, V.
700 1 $aPIÑEIRO, G.
773 $tScience of the Total Environment, 20 October 2020, Volume 740, Article number 140108. Doi: https://doi-org/10.1016/j.scitotenv.2020.140108
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