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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
22/12/2022 |
Actualizado : |
22/12/2022 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
VERA, B.; MONZALVO, C.; NAVAJAS, E.; DE BARBIERI, I.; CARRACELAS, B.; VAN LIER, E.; CIAPPESONI, G. |
Afiliación : |
BRENDA VERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS ENRIQUE MONZALVO CAMPAÑA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EMERITA BEATRIZ CARRACELAS MARQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELIZE VAN LIER, Departamento de Producción Animal y Pasturas, Facultad de Agronomía - Udelar.; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Predicción del valor genético de ovinos en predios comerciales para emisión de metano, eficiencia de conversión y características productivas. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Revista INIA Uruguay, Diciembre 2022, no.71, p. 34-37. |
Serie : |
(Revista INIA; 71) |
ISSN : |
1510-9011 |
Idioma : |
Español |
Palabras claves : |
GENÉTICA ANIMAL; OVINOS; PREDICCIONES GENÓMICAS; SISTEMA GANADERO EXTENSIVO - INIA. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16947/1/INIA-71-diciembre-2022-vera.pdf
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Marc : |
LEADER 00813naa a2200253 a 4500 001 1063882 005 2022-12-22 008 2022 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aVERA, B. 245 $aPredicción del valor genético de ovinos en predios comerciales para emisión de metano, eficiencia de conversión y características productivas.$h[electronic resource] 260 $c2022 490 $a(Revista INIA; 71) 653 $aGENÉTICA ANIMAL 653 $aOVINOS 653 $aPREDICCIONES GENÓMICAS 653 $aSISTEMA GANADERO EXTENSIVO - INIA 700 1 $aMONZALVO, C. 700 1 $aNAVAJAS, E. 700 1 $aDE BARBIERI, I. 700 1 $aCARRACELAS, B. 700 1 $aVAN LIER, E. 700 1 $aCIAPPESONI, G. 773 $tRevista INIA Uruguay, Diciembre 2022, no.71, p. 34-37.
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INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
05/12/2018 |
Actualizado : |
05/12/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
QUERO, G.; BONNECARRERE, V.; FERNÁNDEZ, S.; SILVA, P.; SIMONDI, S.; BORSANI, O. |
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. |
Título : |
Light-use efficiency and energy partitioning in rice is cultivar dependent. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Photosynthesis Research, 2018. |
ISSN : |
0166-8595 |
DOI : |
10.1007/s11120-018-0605-x |
Idioma : |
Inglés |
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). |
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 |
Palabras claves : |
ENERGY DISSIPATION; QUANTUM YIELDS; QUENCHING ANALYSES; RELAXATION ANALYSES. |
Asunto categoría : |
-- |
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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