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| Registros recuperados : 25 | |
| 3. |  | 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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| 4. | | QUERO, G.; BONNECARRERE, V.; FERNÁNDEZ, S.; SILVA, P.; SIMONDI, S.; BORSANI, O. La eficiencia del uso de luz y la partición energética en arroz es genotipo dependiente. [resumen] In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, XI. Encuentro Nacional de REDBIO, III. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2018. p.8-9 (Serie Actividades de Difusión; 786)| Biblioteca(s): INIA Las Brujas. |
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| 8. | | LARZABAL, J.; BONNECARRERE, V.; QUERO, G.; BENTOS, D.; RODRIGUEZ, M.; STEWART, S. P13. Agresividad de aislamientos de Diaporthe caulivora, principal agente causal del cancro del tallo de la soja en Uruguay. [Poster]. Posters. In: Sociedad Uruguaya de Fitopatología (SUFIT). Jornada Uruguaya de Fitopatología, 7., Jornada Uruguaya de Protección Vegetal, 5., 10 noviembre 2023, Montevideo, Uruguay. Libro de resúmenes. 30 años SUFIT, 1993-2023. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2023. p. 40. Fuente de financiamiento: ANII Beca de Doctorado POS_NAC_2020_1_164264. -- Autor correspondencia: e-mail: larzabaljc@gmail.com| Biblioteca(s): INIA Las Brujas. |
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| 9. | | QUERO, G.; SIMONDI, S.; CERETTA, S.; OTERO, A.; GARAYCOCHEA, S.; FERNANDEZ, S.; BORSANI, O.; BONNECARRERE, V. An integrative analysis of yield stability for a GWAS in a small soybean breeding population. Crop Science, May 2021, volume 61, issue 3, pages 19003-1914. Doi: https://doi.org/10.1002/csc2.20490 Article history: Received, 3 November 2020; Accepted, 11 February 2021; Published online, 14 April 2021.
Associate Editor: Junping Chen.
The authors thank Edgardo Rey and Wanda Iriarte for technical assistance in field experiment and...| Biblioteca(s): INIA Las Brujas. |
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| 11. | | ROSAS, J.E.; ESCOBAR, M.; MARTÍNEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; QUERO, G.; GUTIÉRREZ, L.; BONNECARRERE, V. Epistasis and quantitative resistance to Pyricularia oryzae revealed by GWAS in advanced rice breeding populations. Agriculture 2020, 10(12), 622. Open Access. DOI: https://doi.org/10.3390/agriculture10120622 Article history: Received: 30 October 2020 / Revised: 23 November 2020 / Accepted: 24 November 2020 / Published: 11 December 2020.| Biblioteca(s): INIA Treinta y Tres. |
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| 12. | | REBUFFO, M.; MONZA, J.; CASTILLO, A.; SANJUÁN, J.; REYNO, R.; BATISTA, L.; QUERO, G.; CUITIÑO, M.J. Multidisciplinary approaches to improve forage legume species for stressing environments in South America. In: INTERNATIONAL SYMPOSIUM ON THE MOLECULAR BREEDING OF FORAGE AND TURF, 7., 2012, Salt Lake City, UT, US. Proceedings: other invited oral presentation abstracts. Salt Lake City, UT: MBFT, 2012. p. 62.| Biblioteca(s): INIA La Estanzuela. |
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| 13. | | MONTEVERDE, E.; ROSAS, J.E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; BONNECARRERE, V.; QUERO, G.; GUTIERREZ, L.; MCCOUCH, S. Multienvironment models increase prediction accuracy of complex traits in advanced breeding lines of rice (O. sativa). Crop Science, 2018, 58:1519-1530. Article history: Accepted on May 09, 2018. Published online June 21, 2018.| Biblioteca(s): INIA Treinta y Tres. |
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| 14. | | MONTEVERDE, E.; GUTIERREZ, L.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; BONNECARRERE, V.; QUERO, G.; MCCOUCH, SUSAN Integrating molecular markers and environmental covariates to interpret genotype by environment interaction in rice (Oryza sativa L.) grown in subtropical areas. G3: GENES, GENOMES, GENETICS May 1, 2019, v.9 (5), p. 1519-1531. OPEN ACCESS. Article history: Manuscript received February 6, 2019 // Accepted for publication March 5, 2019// Published Early Online March 15, 2019.
Supplemental material available at Figshare: https://doi.org/10.25387/g3.7685636| Biblioteca(s): INIA Treinta y Tres. |
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| 16. | | BONNECARRERE, V.; QUERO, G.; MONTEVERDE, E.; ROSAS, J.E.; PÉREZ DE VIDA, F.; CRUZ, M.; CORREDOR, E.; GARAYCOCHEA, S.; MONZA, J.; BORSANI, O. Candidate gene markers associated with cold tolerance in vegetative stage of rice (Oryza sativa L.). Euphytica, 2015, v. 203 no. 2, p. 385-398. p. 385-398. Received: 17 June 2014 / Accepted: 23 October 2014 / Published online: 2 November 2014| Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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| 17. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.L.; GUTIÉRREZ, L. GWAS for resistance to stem rot and aggregated sheath spot in advanced temperate rice (Oryza sativa L.) germplasm. [Poster]. In: International Conference on Quantitative Genetics, (5o., 2016, Madison)| Biblioteca(s): INIA Treinta y Tres. |
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| 18. | | QUERO, G.; GUTIÉRREZ, L.; FERNANDEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GARAYCOCHEA, S.; MONTEVERDE, E.; MCCOUCH, M.; ROSAS, J.E.; BERBERIAN, N.; SIMONDIS, S.; BONNECARRERE, V. Genome wide association (GWAS) discovers rice granin quality genes in the starch metabolism, grain size and cell wall synthesis pathways. MV 24 - 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. 292| Biblioteca(s): INIA Las Brujas. |
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| 19. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.; GUTIERREZ, L. Mapeo asociativo de la resistencia a enfermedades del tallo y la vaina en germoplasma avanzado de arroz. 2 - SIMPOSIOS "MEJORAMIENTO GENÉTICO POR RESISTENCIA A ENFERMEDADES E INTERACCIONES PLANTA-PATÓGENO" 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. 61| Biblioteca(s): INIA Las Brujas. |
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| 20. | | BONNECARRERE, M.; QUERO, G.; ROSAS, J.E.; FERNANDEZ, S.; GARAYCOCHEA, S.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; BERBERIAN, N.; GUTIERREZ, L. Marcadores moleculares identificados en el Proyecto "Mapeo asociativo para asistir el mejoramiento genético de arroz". In: JORNADA TÉCNICA, VIII JORNADA DE AGROBIOTECNOLOGÍA. INIA LAS BRUJAS, 30 DE OCTUBRE DE 2014. UNIDAD DE BIOTECNOLOGÍA. Montevideo (Uruguay): INIA, 2014. 5-6 (Actividades de Difusión; 741)| Biblioteca(s): INIA Las Brujas. |
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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 : |
05/12/2018 |
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Actualizado : |
05/12/2018 |
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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.; FERNÁNDEZ, S.; SILVA, P.; SIMONDI, S.; BORSANI, O. |
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Afiliación : |
GASTÓN QUERO CORRALLO, Universidad de la República (UdelaR)/ Facultad de Agronomía; INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN FERNÁNDEZ, Universidad de la República (UdelaR)/ Facultad de Ingeniería; PEDRO SILVA, Universidad de la República (UdelaR)/ Facultad de Agronomía; SEBASTIÁN SIMONDI, Universidad Nacional de Cuyo (FCEN-UNCuyo), Argentina; OMAR BORSANI, Universidad de la República (UdelaR)/ Facultad de Agronomía. |
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Título : |
Light-use efficiency and energy partitioning in rice is cultivar dependent. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Photosynthesis Research, 2018. |
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ISSN : |
0166-8595 |
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DOI : |
10.1007/s11120-018-0605-x |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 29 August 2018 // Accepted 12 November 2018 // First Online 17 November 2018.
Electronic supplementary material: The online version of this article contains supplementary material, which is available to authorized users.
Acknowledgements: The authors would like to acknowledge the Agencia Nacional de Investigación e Innovación (ANII) which funded the Doctoral Scholarship of Gaston Quero (POS_NAC_2012_1_8560). This research was also funded by an INIA Project named “Desarrollo de una plataforma de fenotipado como base para la mejora de la tolerancia a estrés ambiental de cultivos y ajuste de modelos de simulación” (L4_10_1_AZ_BT_GT1_8850), and by Grupo Comisión Sectorial de Investigación Científica (CSIC I+D 418). |
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Contenido : |
ABSTRACT.
One of the main limitations of rice yield in regions of high productive performance is the light-use efficiency (LUE). LUE can be determined at the whole-plant level or at the photosynthetic apparatus level (quantum yield). Both vary according to the intensity and spectral quality of light. The aim of this study was to analyze the cultivar dependence regarding LUE at the plant level and quantum yield using four rice cultivars and four light environments. To achieve this, two in-house Light Systems were developed: Light System I which generates white light environments (spectral quality of 400?700 nm band) and Light System II which generates a blue-red light environment (spectral quality of 400?500 nm and 600?700 nm bands). Light environment conditioned the LUE and quantum yield in PSII of all evaluated cultivars. In white environments, LUE decreased when light intensity duplicated, while in blue-red environments no differences on LUE were observed. Energy partition in PSII was determined by the quantum yield of three de-excitation processes using chlorophyll fluorescence parameters. For this purpose, a quenching analysis followed by a relaxation analysis was performed. The damage of PSII was only increased by low levels of energy in white environments, leading to a decrease in photochemical processes due to the closure of the reaction centers. In conclusion, all rice cultivars evaluated in this study were sensible to low levels of radiation, but the response was cultivar dependent. There was not a clear genotypic relation between LUE and quantum yield.
© 2018, Springer Nature B.V. MenosABSTRACT.
One of the main limitations of rice yield in regions of high productive performance is the light-use efficiency (LUE). LUE can be determined at the whole-plant level or at the photosynthetic apparatus level (quantum yield). Both vary according to the intensity and spectral quality of light. The aim of this study was to analyze the cultivar dependence regarding LUE at the plant level and quantum yield using four rice cultivars and four light environments. To achieve this, two in-house Light Systems were developed: Light System I which generates white light environments (spectral quality of 400?700 nm band) and Light System II which generates a blue-red light environment (spectral quality of 400?500 nm and 600?700 nm bands). Light environment conditioned the LUE and quantum yield in PSII of all evaluated cultivars. In white environments, LUE decreased when light intensity duplicated, while in blue-red environments no differences on LUE were observed. Energy partition in PSII was determined by the quantum yield of three de-excitation processes using chlorophyll fluorescence parameters. For this purpose, a quenching analysis followed by a relaxation analysis was performed. The damage of PSII was only increased by low levels of energy in white environments, leading to a decrease in photochemical processes due to the closure of the reaction centers. In conclusion, all rice cultivars evaluated in this study were sensible to low levels of radiation, but the response was cu... Presentar Todo |
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Palabras claves : |
ENERGY DISSIPATION; QUANTUM YIELDS; QUENCHING ANALYSES; RELAXATION ANALYSES. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03097naa a2200265 a 4500
001 1059334
005 2018-12-05
008 2018 bl uuuu u00u1 u #d
022 $a0166-8595
024 7 $a10.1007/s11120-018-0605-x$2DOI
100 1 $aQUERO, G.
245 $aLight-use efficiency and energy partitioning in rice is cultivar dependent.$h[electronic resource]
260 $c2018
500 $aArticle history: Received 29 August 2018 // Accepted 12 November 2018 // First Online 17 November 2018. Electronic supplementary material: The online version of this article contains supplementary material, which is available to authorized users. Acknowledgements: The authors would like to acknowledge the Agencia Nacional de Investigación e Innovación (ANII) which funded the Doctoral Scholarship of Gaston Quero (POS_NAC_2012_1_8560). This research was also funded by an INIA Project named “Desarrollo de una plataforma de fenotipado como base para la mejora de la tolerancia a estrés ambiental de cultivos y ajuste de modelos de simulación” (L4_10_1_AZ_BT_GT1_8850), and by Grupo Comisión Sectorial de Investigación Científica (CSIC I+D 418).
520 $aABSTRACT. One of the main limitations of rice yield in regions of high productive performance is the light-use efficiency (LUE). LUE can be determined at the whole-plant level or at the photosynthetic apparatus level (quantum yield). Both vary according to the intensity and spectral quality of light. The aim of this study was to analyze the cultivar dependence regarding LUE at the plant level and quantum yield using four rice cultivars and four light environments. To achieve this, two in-house Light Systems were developed: Light System I which generates white light environments (spectral quality of 400?700 nm band) and Light System II which generates a blue-red light environment (spectral quality of 400?500 nm and 600?700 nm bands). Light environment conditioned the LUE and quantum yield in PSII of all evaluated cultivars. In white environments, LUE decreased when light intensity duplicated, while in blue-red environments no differences on LUE were observed. Energy partition in PSII was determined by the quantum yield of three de-excitation processes using chlorophyll fluorescence parameters. For this purpose, a quenching analysis followed by a relaxation analysis was performed. The damage of PSII was only increased by low levels of energy in white environments, leading to a decrease in photochemical processes due to the closure of the reaction centers. In conclusion, all rice cultivars evaluated in this study were sensible to low levels of radiation, but the response was cultivar dependent. There was not a clear genotypic relation between LUE and quantum yield. © 2018, Springer Nature B.V.
653 $aENERGY DISSIPATION
653 $aQUANTUM YIELDS
653 $aQUENCHING ANALYSES
653 $aRELAXATION ANALYSES
700 1 $aBONNECARRERE, V.
700 1 $aFERNÁNDEZ, S.
700 1 $aSILVA, P.
700 1 $aSIMONDI, S.
700 1 $aBORSANI, O.
773 $tPhotosynthesis Research, 2018.
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