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| Registros recuperados : 16 | |
| 3. |  | MARESCA, S.; LÓPEZ VALIENTE, S.; RODRÍGUEZ, A.M.; LONG, N.M.; PAVAN, E.; QUINTANS, G. Effect of protein restriction of bovine dams during late gestation on offspring postnatal growth, glucose-insulin metabolism and IGF-1 consentration. Livestock Science, 2018, 212: 120-126. Article history: Received 10 October 2017. Received in revised from 27 March 2018, accepted 11 April 2018.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 4. | | LÓPEZ-VALIENTE, S.; MAREZCA, S.; RODRÍGUEZ, A. M.; LONG, N. M.; QUINTANS, G.; PALLADINO, R. A. Effect of protein restriction during mid-to late gestation of beef cows on female offspring fertility, lactation performance and calves development. EC Veterinary Science, November 2019, v. 4 (10), p. 1-12. Open Access. Doi: 10.31080/ecve.2019.04.00186 Article history: Received: October 24, 2019; Published: November 13, 2019.| Biblioteca(s): INIA Treinta y Tres. |
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| 6. | | MARESCA, S.; LÓPEZ VALIENTE, S.O.; RODRÍGUEZ, A.M.; LONG, N. M.; PAVAN, E.; QUINTANS, G. Efecto de la restricción proteica de vacas durante la gestación tardía sobre el crecimiento posnatal, el metabolismo de glucosa - insulina y la concentración de IGF-1 de la descendencia. In: QUINTANS, G.; IEWDIUKOW, M. (Ed.). Primer Seminario Técnico de Programación Fetal. Montevideo (UY): INIA, 2019. p. 31-43. (INIA Serie Técnica; 252)| Biblioteca(s): INIA Treinta y Tres. |
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| 11. | | LÓPEZ VALIENTE, S.; RODRÍGUEZ, A. M.; LONG, N. M.; QUINTANS, G.; MICCOLI, F. E.; LACAU-MENGIDO, I. M.; MARESCA, S. Age at first gestation in beef heifers affects fetal and postnatal growth, glucose metabolism and IGF1 concentration. Animals 2021, volume 11, issue 12, article number 3393. Open Access. Doi: https://doi.org/10.3390/ani11123393 Article history: Received: 21 October 2021 / Revised: 23 November 2021 / Accepted: 24 November 2021 / Published: 27 November 2021| Biblioteca(s): INIA Treinta y Tres. |
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| 13. | | LÓPEZ VALIENTE, S.; MARESCA, S.; RODRÍGUEZ, A.M.; PALLADINO, R.A.; LACAU-MENGIDO, I.M.; LONG, N.M.; QUINTANS, G. Efecto de la restricción proteica de las vacas Angus durante la gestación tardía: rendimiento reproductivo posterior y producción de leche. In: QUINTANS, G.; IEWDIUKOW, M. (Ed.). Primer Seminario Técnico de Programación Fetal. Montevideo (UY): INIA, 2019. p. 23-30. (INIA Serie Técnica; 252)| Biblioteca(s): INIA Treinta y Tres. |
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| 15. | | MARESCA, S.; LÓPEZ VALIENTE, S.; RODRÍGUEZ, A.M.; TESTA, L.M.; LONG, N.M.; QUINTANS, G.; PAVON, E. Influencia de la restricción proteica en el último tercio de gestación sobre el crecimiento, características de carcasa y calidad de carne de la descendencia. In: QUINTANS, G.; IEWDIUKOW, M. (Ed.). Primer Seminario Técnico de Programación Fetal. Montevideo (UY): INIA, 2019. p. 65-76. (INIA Serie Técnica; 252)| Biblioteca(s): INIA Treinta y Tres. |
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| 16. | | LÓPEZ VALIENTE, S.; MARESCA, S.; ROGRÍGUEZ, A.M.; DUNLEAVY, M.; LACAU MENGIDO, I.M.; PALLADINO, R.A.; MICCOLI, F.; QUINTANS, G. Restricción proteica durante el último tercio de gestación en vacas de cría. 1. Evolución de peso vivo, estado corporal, parámetros reproductivos, perfil metabólico y hormonal en la madre. IN: REVISTA ARGENTINA DE PRODUCCIÓN ANIMAL, 2016, VOL. 36, ISS.1 (SUPL). 39 CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL. 19-21 OCTUBRE 2016. ACTAS. Buenos Aires (Argentina): AAPA. p. 213.| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 16 | |
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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. |
|
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. |
|
Thesagro : |
RESISTENCIA; TRIGO; URUGUAY. |
|
Asunto categoría : |
H20 Enfermedades de las plantas |
|
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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