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| Registros recuperados : 62 | |
| 3. |  | GUTIÉRREZ, L.; LADO, B.; GONZÁLEZ, P.; SILVA, P.; QUINCKE, M. Handling Genotype-By-Environment Interaction in Genomic Selection to Predict New Genotypes and New Environments. [P0814] In: International Plant & Animal Genome, Conference PAG XXIV, "The largest Ag-genomics Meeting in the World San Diego, CA, USA; January 9-13, 2016. [Abstract] .| Biblioteca(s): INIA Las Brujas. |
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| 5. | | PÉREZ, O.; VIEGA, L.; GUTIÉRREZ, L.; CASTRO, M. Post-anthesis water deficit in spring wheat: effects on yield components and relative water content. In: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro: resúmenes; posters. La Estanzuela, Colonia, UY: INIA, 2014. p. 41.| Biblioteca(s): INIA La Estanzuela. |
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| 6. | | PÉREZ, O.; VIEGA, L.; GUTIERREZ, L.; CASTRO, M. Post-anthesis water deficit in spring wheat: effects on yield components and relative water content. [Poster]. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. P.130. (INIA Serie Técnica; 241).| Biblioteca(s): INIA La Estanzuela. |
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| 7. | | PEREYRA, S.; GERMAN, S.; GONZÁLEZ, S.N.; CASTRO, A.; GAMBA, F.; GUTIERREZ, L. Advances in the integrated management of leaf blotches in Uruguay. In: International Workshop on Barley Leaf Diseases , 2o. Rabat, Morocco: The International Center for Agricultural Research in the Dry Areas (ICARDA), April 5-7, 2017. p. 46.| Biblioteca(s): INIA La Estanzuela. |
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| 8. | | BORGES, A.; GONZÁLEZ-REYMUNDEZ, A.; ERNST, O.; CADENAZZI, M.; TERRA, J.A.; GUTIÉRREZ, L. Can spatial modeling substitute experimental design in agricultural experiments? Crop Science, 2018, v. 59, no. 1, p. 1-10. Article history: Accepted paper, posted 10/05/18. Published online December, 13. 2018.| Biblioteca(s): INIA Treinta y Tres. |
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| 9. | | LADO,B.; BATTENFIELD, S.; POLAND, J.; QUINCKE, M.; SILVA, P.; GUTIÉRREZ, L. Comparación de metodologías de predicción de cruzamientos para rendimiento en trigo. MV 14 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016 p. 287.| Biblioteca(s): INIA La Estanzuela. |
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| 10. | | GUTIERREZ, L.; BORGES, A.; QUERO, G.; GONZALEZ-REYMUNDEZ, A.; BERRO, I.; LADO, B.; CASTRO, A. Biostatistical tools for plant breeding in the genomics era. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. p.46-57. (INIA Serie Técnica; 241).| Biblioteca(s): INIA La Estanzuela. |
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| 11. | | GUTIÉRREZ, L.; BERBERIAN, N.; CAPETTINI, F.; GERMAN, S.; PEREYRA, S.; PÉREZ, C.; CASTRO, A. Disease resistance QTLs in barley germplasm from Latin America In: INTERNATIONAL ANIMAL AND PLANT GENOME CONFERENCE, 20., 2012, San Diego, CA, US. Posters: wheat, barley, oat, and related. P0350. [s.l.: INTL-PAG], 2012.| Biblioteca(s): INIA La Estanzuela. |
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| 12. | | CAJARVILLE, C.; BRITOS, A.; ERRANDONEA, N.; GUTIÉRREZ, L.; COZZOLINO, D.; REPETTO, J.L. Diurnal changes in water-soluble carbohydrate concentration in lucerne and tall fescue in autumn and the effects on in vitro fermentation. Research Article. New Zealand Journal of Agricultural Research, 2015, v. 58, no.3, p. 281-291. Article history: Received 23 January 2014 // Accepted 5 February 2015.| Biblioteca(s): INIA Las Brujas. |
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| 13. | | PORTA, B.; CONDON, F.; BONNECARRERE, V.; GUTIÉRREZ, L.; FRANCO, J.; GALVÁN, G. Diversidad y estructura genética del germoplasma de maíz blanco dentad de Uruguay mediante microsatélites. [Resumen]. In: SIMPÓSIO DE RECURSOS GENÉTICOS PARA A AMÉRICA LATINA E CARIBE, 10., 2015, Bento Gonçalves. Recursos genéticos no século 21: de Vavilov a Svalbard. Anais... [s.l.]: Sociedade Brasileira de Recursos Genéticos, 2015. p.65. Agradecimientos: Comisión Sectorial de Investigación Científica, CSIC - UdelaR, Uruguay.| Biblioteca(s): INIA Las Brujas. |
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| 14. | | QUERO, C.; FERNANDEZ, S.; BRANDARIZ, S.B.; SIMONDI, S.; GUTIÉRREZ, L. Herramientas de análisis y visualización genómica. MV 10 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 285| Biblioteca(s): INIA Las Brujas. |
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| 16. | | REBOLLO, I.; AGUILAR, I.; PÉREZ DE VIDA, F.; MOLINA, F.; GUTIÉRREZ, L.; ROSAS, J.E. Genotype by environment interaction characterization and its modeling with random regression to climatic variables in two rice breeding populations. Original article. Crop Science. 2023, Volume 63, Issue 4, Pages 2220-2240. https://doi.org/10.1002/csc2.21029 -- OPEN ACCESS. Article history: Received 21 November 2022, Accepted 10 May 2023, Published online 16 June 2023. -- Correspondence: Rosas, J.E.; INIA, Estación Experimental Treinta y Tres, Road 8 km 281, Treinta y Tres, Uruguay; email:jrosas@inia.org.uy...| Biblioteca(s): INIA Las Brujas. |
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| 18. | | BERBERIAN, N.; CASTRO, A.; CAPETTINI, F.; FROS, D.; GERMAN, S.; PEREYRA, S.; PEREZ, C.; GUTIÉRREZ, L. Modelos mixtos para la identificación de QTL para enfermedades en cebada a traves de mapeo asociativo. In: REUNIÓN CIENTIFICA DEL GRUPO ARGENTINO DE BIOMETRÍA, 16., 2011, Salta, AR. Libro de resúmenes: modelos lineales y generalizados mixtos. La Plata: GAB, 2011. p. 108.| Biblioteca(s): INIA La Estanzuela. |
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| 19. | | GONZÁLEZ BARRIOS, P.; PÉREZ, O.; CASTRO, M.; CERETTA, S.; VILARO, D.; GUTIÉRREZ, L. Identificación de limitantes a la expresión del potencial de rendimiento en girasol en Uruguay mediante GGE biplots y PLS regression. In: IV Encuentro Iberoamericano de Biometría; 4o. y XVIII Reunión Científica del GAB, 17o., Setiembre 2013, Mar del Plata ,ROMERO, M.C.; MARINELLI, C.; CEPEDA, R. Eds., La Plata, Bs As, Argentina: Grupo Argentino de Biometría. p. 236-239| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 62 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
26/02/2020 |
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Actualizado : |
26/02/2020 |
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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 : |
QUERO, G.; BONNECARRERE, V.; SIMONDI, S.; SANTOS, J.; FERNÁNDEZ, S.; GUTIÉRREZ, L.; GARAYCOCHEA, S.; BORSANI, O. |
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Afiliación : |
GASTÓN QUERO CORRALLO, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN SIMONDI, Área de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (FCEN-UNCuyo), Mendoza, Argentina; JORGE SANTOS, Área de Física, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (FCEN-UNCuyo), Mendoza, Argentina; SEBASTIÁN FERNÁNDEZ, Facultad de Ingeniería, Instituto de Ingeniería Eléctrica, Universidad de La República, Montevideo, Uruguay; LUCÍA GUTIÉRREZ, Department of Agronomy, University of Wisconsin-Madison, Madison, WI, USA; Departamento de Biometría, Estadística y Cómputos, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OMAR BORSANI, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Genetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Photosynthesis Research, 2020. Doi: https://doi.org/10.1007/s11120-020-00721-2 |
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DOI : |
10.1007/s11120-020-00721-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 11 October 2019 / Accepted: 10 February 2020 / Published: 18 February 2020.
Corresponding author: Gastón Quero (gastonquero@fagro.edu.uy)
Electronic supplementary material: The online version of this article (https://doi.org/10.1007/s1112 0-020-00721 -2) contains supplementary material, which is available to authorized users. |
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Contenido : |
ABSTRACT.
The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δλ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association between light-harvesting complexes and the potential quantum yield of PSII, as well as the relationship between coding regions for PSI-linked proteins in energy distribution during the photochemical process of photosynthesis is analyzed. MenosABSTRACT.
The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δλ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association ... Presentar Todo |
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Palabras claves : |
Actinic light; Candidate genes; GWAS; Quantum yields. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02911naa a2200277 a 4500
001 1060838
005 2020-02-26
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/s11120-020-00721-2$2DOI
100 1 $aQUERO, G.
245 $aGenetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach.$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 11 October 2019 / Accepted: 10 February 2020 / Published: 18 February 2020. Corresponding author: Gastón Quero (gastonquero@fagro.edu.uy) Electronic supplementary material: The online version of this article (https://doi.org/10.1007/s1112 0-020-00721 -2) contains supplementary material, which is available to authorized users.
520 $aABSTRACT. The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δλ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association between light-harvesting complexes and the potential quantum yield of PSII, as well as the relationship between coding regions for PSI-linked proteins in energy distribution during the photochemical process of photosynthesis is analyzed.
653 $aActinic light
653 $aCandidate genes
653 $aGWAS
653 $aQuantum yields
700 1 $aBONNECARRERE, V.
700 1 $aSIMONDI, S.
700 1 $aSANTOS, J.
700 1 $aFERNÁNDEZ, S.
700 1 $aGUTIÉRREZ, L.
700 1 $aGARAYCOCHEA, S.
700 1 $aBORSANI, O.
773 $tPhotosynthesis Research, 2020. Doi: https://doi.org/10.1007/s11120-020-00721-2
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