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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 : |
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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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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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
09/09/2014 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
CALINGACION, M.; LABORTE, A.; NELSON, A.; RESURRECCION, A.; CONCEPCION, J.C.; DAYGON, D.V.; MUMM, R.; REINKE, R.; DIPTI, S.; BASSINELLO, P.Z.; MANFUL, J.; SOPHANY, S.; LARA, K.C.; BAO, J.; XIE, L.; LOAIZA, K.; EL-HISSEWY, A.; GAYIN, J.; SHARMA, N.; RAJESWARI, S.; MANONMANI, S.; RANI, N.S.; KOTA, S.; INDRASARI, S.D.; HABIBI, F.; HOSSEINI, M.; TAVASOLI, F.; SUZUKI, K.; UMEMOTO, T.; BOUALAPHANH, C.; LEE, H.H.; HUNG, Y.P.; RAMLI, A.; AUNG, P.P.; AHMAD, R.; WATTOO, J.I.; BANDONILL, E.; ROMERO, M.; BRITES, C.M.; HAFEEL, R.; LUR, H.S.; CHEAUPUN, K.; JONGDEE, S.; BLANCO, P.; BRYANT, R.; LANG, N.T.; HALL, R.D.; FITZGERALD, M. |
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Afiliación : |
PEDRO HORACIO BLANCO BARRAL, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Diversity of global rice markets and the science required for consumer-targeted rice breeding. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Plos One, 2014, v. 9, no. 1; e85106 |
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DOI : |
10.1371/journal.pone.0085106 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received July 8, 2013; accepted November 22, 2013; published January 14, 2014. |
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Contenido : |
Abstract
With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement
strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity
of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future.
Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market. MenosAbstract
With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement
strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity
of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future.
Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to comb... Presentar Todo |
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Palabras claves : |
GENETIC BREEDING; MOLECULAR MARKERS; QUALITY; RICE. |
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Thesagro : |
ARROZ; FITOMEJORAMIENTO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 03720naa a2200781 a 4500
001 1050074
005 2019-10-11
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pone.0085106$2DOI
100 1 $aCALINGACION, M.
245 $aDiversity of global rice markets and the science required for consumer-targeted rice breeding.$h[electronic resource]
260 $c2014
500 $aArticle history: Received July 8, 2013; accepted November 22, 2013; published January 14, 2014.
520 $aAbstract With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future. Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market.
650 $aARROZ
650 $aFITOMEJORAMIENTO
653 $aGENETIC BREEDING
653 $aMOLECULAR MARKERS
653 $aQUALITY
653 $aRICE
700 1 $aLABORTE, A.
700 1 $aNELSON, A.
700 1 $aRESURRECCION, A.
700 1 $aCONCEPCION, J.C.
700 1 $aDAYGON, D.V.
700 1 $aMUMM, R.
700 1 $aREINKE, R.
700 1 $aDIPTI, S.
700 1 $aBASSINELLO, P.Z.
700 1 $aMANFUL, J.
700 1 $aSOPHANY, S.
700 1 $aLARA, K.C.
700 1 $aBAO, J.
700 1 $aXIE, L.
700 1 $aLOAIZA, K.
700 1 $aEL-HISSEWY, A.
700 1 $aGAYIN, J.
700 1 $aSHARMA, N.
700 1 $aRAJESWARI, S.
700 1 $aMANONMANI, S.
700 1 $aRANI, N.S.
700 1 $aKOTA, S.
700 1 $aINDRASARI, S.D.
700 1 $aHABIBI, F.
700 1 $aHOSSEINI, M.
700 1 $aTAVASOLI, F.
700 1 $aSUZUKI, K.
700 1 $aUMEMOTO, T.
700 1 $aBOUALAPHANH, C.
700 1 $aLEE, H.H.
700 1 $aHUNG, Y.P.
700 1 $aRAMLI, A.
700 1 $aAUNG, P.P.
700 1 $aAHMAD, R.
700 1 $aWATTOO, J.I.
700 1 $aBANDONILL, E.
700 1 $aROMERO, M.
700 1 $aBRITES, C.M.
700 1 $aHAFEEL, R.
700 1 $aLUR, H.S.
700 1 $aCHEAUPUN, K.
700 1 $aJONGDEE, S.
700 1 $aBLANCO, P.
700 1 $aBRYANT, R.
700 1 $aLANG, N.T.
700 1 $aHALL, R.D.
700 1 $aFITZGERALD, M.
773 $tPlos One, 2014$gv. 9, no. 1; e85106
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