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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
15/10/2014 |
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Actualizado : |
18/03/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
FEIPPE, A.; IBÁÑEZ, F.; PERALTA, G. |
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Afiliación : |
MARIA ALICIA FEIPPE FERNANDEZ, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; FACUNDO IBÁÑEZ SILVA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GABRIELA PERALTA ALTIER, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Fruit ripening stage effect on the fatty acid profile of 'Arbequina' and 'Picual' olives in Uruguay. (Conference Paper). |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Acta Horticulturae, 2010, no.877, p.1495-1500. |
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Serie : |
(Acta Horticulturae; 877). |
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ISBN : |
978-906605613-8 |
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ISSN : |
0567-7572 |
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DOI : |
10.17660/ActaHortic.2010.877.204 |
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Idioma : |
Inglés |
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Notas : |
ISHS Acta Horticulturae 877: VI International Postharvest Symposium. Publication date: 11 November 2010. Editors: M. Erkan, U. Aksoy. |
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Contenido : |
ABSTRACT.
Uruguay is one of the countries with favorable conditions for the development of olive tree culture. Olive oil is mainly composed by triglycerides, formed by different fatty acids which confer a main portion of its properties. Its acidic composition varies mainly with variety, local climatic conditions and fruit maturity degree. The objective of this work is to know the influence of fruit maturity stages on the fatty acid profile in the ?Arbequina? and ?Picual? varieties cultivated in Uruguay. According to skin and flesh color, fruits at six stages of maturity were used for extraction of lipids and percent fatty acid composition was determined through gas chromatography on methylated byproducts, palmitic, palmitoleic, estearic, oleic, linoleic and linolenic. Across different maturity stages and on ?Arbequina? and ?Picual? the C16:0 was constant and showed a value of 20 and 19.5% respectively, showing no significant changes. The C16:1 and C18:2 significantly increased from the M1 to the M6 stage in ?Arbequina? and ?Picual? (C16:1 increased from 1.9 to 3.3 and 1.5 to 2.2 respectively; C18:2 from 8.0 to 13.3 and 1.6 to 6.5% respectively). C18:1 and of C18:3 levels significantly decreased in oils originated from fruits with more advanced maturity (C18:1 varied from 67 to 60 and 74 to 70 respectively; C18:3 varied from 0.6 to 0.4 and 0.7 to 0.5%, respectively). With advancing maturity, C18:0 level decreased in ?Arbequina? (1.7 to 1.4%) and increased in ?Picual? (1.8 to 2.5%), both showing significant variations. With advancing maturity and on both varieties, ratios between monounsaturated and polyunsaturated fatty acids decreased, and the decrease was greater in ?Picual?. Focusing on the potential oil quality, preliminary data emphasize the importance of understanding the effect of maturity stages as related to the development of olive harvest indexes. MenosABSTRACT.
Uruguay is one of the countries with favorable conditions for the development of olive tree culture. Olive oil is mainly composed by triglycerides, formed by different fatty acids which confer a main portion of its properties. Its acidic composition varies mainly with variety, local climatic conditions and fruit maturity degree. The objective of this work is to know the influence of fruit maturity stages on the fatty acid profile in the ?Arbequina? and ?Picual? varieties cultivated in Uruguay. According to skin and flesh color, fruits at six stages of maturity were used for extraction of lipids and percent fatty acid composition was determined through gas chromatography on methylated byproducts, palmitic, palmitoleic, estearic, oleic, linoleic and linolenic. Across different maturity stages and on ?Arbequina? and ?Picual? the C16:0 was constant and showed a value of 20 and 19.5% respectively, showing no significant changes. The C16:1 and C18:2 significantly increased from the M1 to the M6 stage in ?Arbequina? and ?Picual? (C16:1 increased from 1.9 to 3.3 and 1.5 to 2.2 respectively; C18:2 from 8.0 to 13.3 and 1.6 to 6.5% respectively). C18:1 and of C18:3 levels significantly decreased in oils originated from fruits with more advanced maturity (C18:1 varied from 67 to 60 and 74 to 70 respectively; C18:3 varied from 0.6 to 0.4 and 0.7 to 0.5%, respectively). With advancing maturity, C18:0 level decreased in ?Arbequina? (1.7 to 1.4%) and increased in ?Picual? (1.8 to... Presentar Todo |
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Palabras claves : |
ARBEQUINA; FATTY ACID PROFILE; FRUIT RIPENING; OLIVE; PICUAL. |
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Thesagro : |
MADURACION; OLIVOS; PERFIL DE ÁCIDOS GRASOS; VARIEDADES. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02917naa a2200313 a 4500
001 1051118
005 2022-03-18
008 2010 bl uuuu u00u1 u #d
020 $a978-906605613-8
022 $a0567-7572
024 7 $a10.17660/ActaHortic.2010.877.204$2DOI
100 1 $aFEIPPE, A.
245 $aFruit ripening stage effect on the fatty acid profile of 'Arbequina' and 'Picual' olives in Uruguay. (Conference Paper).$h[electronic resource]
260 $c2010
490 $a(Acta Horticulturae; 877).
500 $aISHS Acta Horticulturae 877: VI International Postharvest Symposium. Publication date: 11 November 2010. Editors: M. Erkan, U. Aksoy.
520 $aABSTRACT. Uruguay is one of the countries with favorable conditions for the development of olive tree culture. Olive oil is mainly composed by triglycerides, formed by different fatty acids which confer a main portion of its properties. Its acidic composition varies mainly with variety, local climatic conditions and fruit maturity degree. The objective of this work is to know the influence of fruit maturity stages on the fatty acid profile in the ?Arbequina? and ?Picual? varieties cultivated in Uruguay. According to skin and flesh color, fruits at six stages of maturity were used for extraction of lipids and percent fatty acid composition was determined through gas chromatography on methylated byproducts, palmitic, palmitoleic, estearic, oleic, linoleic and linolenic. Across different maturity stages and on ?Arbequina? and ?Picual? the C16:0 was constant and showed a value of 20 and 19.5% respectively, showing no significant changes. The C16:1 and C18:2 significantly increased from the M1 to the M6 stage in ?Arbequina? and ?Picual? (C16:1 increased from 1.9 to 3.3 and 1.5 to 2.2 respectively; C18:2 from 8.0 to 13.3 and 1.6 to 6.5% respectively). C18:1 and of C18:3 levels significantly decreased in oils originated from fruits with more advanced maturity (C18:1 varied from 67 to 60 and 74 to 70 respectively; C18:3 varied from 0.6 to 0.4 and 0.7 to 0.5%, respectively). With advancing maturity, C18:0 level decreased in ?Arbequina? (1.7 to 1.4%) and increased in ?Picual? (1.8 to 2.5%), both showing significant variations. With advancing maturity and on both varieties, ratios between monounsaturated and polyunsaturated fatty acids decreased, and the decrease was greater in ?Picual?. Focusing on the potential oil quality, preliminary data emphasize the importance of understanding the effect of maturity stages as related to the development of olive harvest indexes.
650 $aMADURACION
650 $aOLIVOS
650 $aPERFIL DE ÁCIDOS GRASOS
650 $aVARIEDADES
653 $aARBEQUINA
653 $aFATTY ACID PROFILE
653 $aFRUIT RIPENING
653 $aOLIVE
653 $aPICUAL
700 1 $aIBÁÑEZ, F.
700 1 $aPERALTA, G.
773 $tActa Horticulturae, 2010, no.877, p.1495-1500.
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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 : |
28/03/2016 |
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Actualizado : |
24/09/2018 |
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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 : |
BASSU, S.; BRISSON, N.; DURAND, J.L.; BOOTE, K.; LIZASO, J.; JONES, J.W.; ROSENZWEIG, C.; RUANE, A.C.; ADAM, M.; BARON, C.; BASSO, B.; BIERNATH, C.; BOOGAARD, H.; CONIJN, S.; CORBEELS, M.L; DERYNG, D.; SANTIS, G. DE; GAYLER, S.; GRASSINI, P.; HATFIELD, J.; HOEK, S.; IZAURRALDE, C.; JONGSCHAAP, R.; KEMANIAN, A.R.; KERSEBAUM, C.KIM, S-H.; KUMAR, N.; MAKOWSKI, D.; MÜLLER, C.; NENDEL, C.; PRIESACK, E.; PRAVIA, V.; SAU, F.; SHCHERBAK, I.; TAO, F.; TEXEIRA, E.; TIMLIN, D.; WAHA, K. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, The Pennsylvania State University, USA. |
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Título : |
How do various maize crop models vary in their responses to climate change factors? |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Global Change Biology, 2014, v.20(7), p. 2301-2320. |
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DOI : |
10.1111/gcb.12520 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014. |
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Contenido : |
Abstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information. MenosAbstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2]... Presentar Todo |
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Palabras claves : |
AGMIP; CARBON DIOXIDE; CLIMATE; CO2; GRAIN YIELD; MAIZE; MODEL INTERCOMPARISON; MODELIZACIÓN DE CULTIVOS; SIMULATION MODELS; TEMPERATURE. |
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Thesagro : |
CLIMA; DIOXIDO DE CARBONO; INCERTIDUMBRE; MAÍZ; MODELOS DE SIMULACIÓN; TEMPERATURA. |
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Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
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Marc : |
LEADER 03684naa a2200769 a 4500
001 1054517
005 2018-09-24
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1111/gcb.12520$2DOI
100 1 $aBASSU, S.
245 $aHow do various maize crop models vary in their responses to climate change factors?$h[electronic resource]
260 $c2014
500 $aArticle history: Received 7 June 2013 and accepted 2 December 2013, published 2014.
520 $aAbstract: Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania). While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information.
650 $aCLIMA
650 $aDIOXIDO DE CARBONO
650 $aINCERTIDUMBRE
650 $aMAÍZ
650 $aMODELOS DE SIMULACIÓN
650 $aTEMPERATURA
653 $aAGMIP
653 $aCARBON DIOXIDE
653 $aCLIMATE
653 $aCO2
653 $aGRAIN YIELD
653 $aMAIZE
653 $aMODEL INTERCOMPARISON
653 $aMODELIZACIÓN DE CULTIVOS
653 $aSIMULATION MODELS
653 $aTEMPERATURE
700 1 $aBRISSON, N.
700 1 $aDURAND, J.L.
700 1 $aBOOTE, K.
700 1 $aLIZASO, J.
700 1 $aJONES, J.W.
700 1 $aROSENZWEIG, C.
700 1 $aRUANE, A.C.
700 1 $aADAM, M.
700 1 $aBARON, C.
700 1 $aBASSO, B.
700 1 $aBIERNATH, C.
700 1 $aBOOGAARD, H.
700 1 $aCONIJN, S.
700 1 $aCORBEELS, M.L
700 1 $aDERYNG, D.
700 1 $aSANTIS, G. DE
700 1 $aGAYLER, S.
700 1 $aGRASSINI, P.
700 1 $aHATFIELD, J.
700 1 $aHOEK, S.
700 1 $aIZAURRALDE, C.
700 1 $aJONGSCHAAP, R.
700 1 $aKEMANIAN, A.R.
700 1 $aKERSEBAUM, C.KIM, S-H.
700 1 $aKUMAR, N.
700 1 $aMAKOWSKI, D.
700 1 $aMÜLLER, C.
700 1 $aNENDEL, C.
700 1 $aPRIESACK, E.
700 1 $aPRAVIA, V.
700 1 $aSAU, F.
700 1 $aSHCHERBAK, I.
700 1 $aTAO, F.
700 1 $aTEXEIRA, E.
700 1 $aTIMLIN, D.
700 1 $aWAHA, K.
773 $tGlobal Change Biology, 2014$gv.20(7), p. 2301-2320.
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