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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; INIA Treinta y Tres. |
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Fecha : |
12/11/2015 |
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Actualizado : |
09/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MARCAIDA, M.; ASSENG, S.; EWERT, F.; BASSU, S.; DURAND, J.L.; LI, T.; MARTRE, P.; ADAM, M.; AGGARWAL, P.K.; ANGULO, C.; BARON, C.; BASSO, B.; BERTUZZI, P.; BIERNATH, C.; BOOGAARD, H.; BOOTE, K.J.; BOUMAN, B.; BREGAGLIO, S.; BRISSON, N.; BUIS, S.; CAMMARANO, D.; CHALLINOR, A.J.; CONFALONIERI, R.; CONIJN, J.G.; CORBEELS, M.; DERYNG, D.; DE SANCTIS, G.; DOLTRA, J.; FUMOTO, T.; GAYDON, D.; GAYLER, S.; GOLDBERG, R.; GRANT, R.F.; GRASSINI, P.; HATFIELD, J.L.; HASEGAWA, T.; HENG, L.; HOEK, S.; HOOKER, J.; HUNT, L.A.; INGWERSEN, J.; IZAURRALDE, R.C.; JONGSCHAAP, R.E.E.; JONES, J.W.; KEMANIAN, R.A.; KERSEBAUM, K.C.; KIM, S.-H.; LIZASO, J.; MÜLLER, C.; NAKAGAWA, H.; NARESH KUMAR, S.; NENDEL, C.; O'LEARY, G.J.; OLESEN, J.E.; ORIOL, P.; OSBORNE, T.M.; PALOSUO, T.; PRAVIA, V.; PRIESACK, E.; RIPOCHE, D.; ROSENZWEIG, C.; RUANE, A.C.; RUGET, F.; SAU, F.; SEMENOV, M.A.; SHCHERBAK, I.; SINGH, B.; SINGH, U.; SOO, H.K.; STEDUTO, P.; STÖCKLE, C.; STRATONOVITCH, P.; STRECK, T.; SUPIT, I.; TANG, L.; TAO, F.; TEIXEIRA, E.I.; THORBURN, P.; TIMLIN, D.; TRAVASSO, M.; RÖTTER, R.P.; WAHA, K.; WALLACH, D.; WHITE, J.W.; WILKENS, P.; WILLIAMS, J.R.; WOLF, J.; YIN, X.; YOSHIDA, H.; ZHANG, Z.; ZHU, Y. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Agricultural and Forest Meteorology, 2015, v.214-215, p. 483-493. |
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ISSN : |
0168-1923 |
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DOI : |
10.1016/j.agrformet.2015.09.013 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015. |
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Contenido : |
ABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2].
© 2015 Elsevier B.V. All rights reserved. MenosABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in... Presentar Todo |
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Palabras claves : |
Climate change; CROP MODEL; Emulator; MAIZE; Meta-model; MODELIZACIÓN DE LOS CULTIVOS; RICE; Statistical model; WHEAT; Yield. |
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Thesagro : |
ARROZ; CAMBIO CLIMÁTICO; MAÍZ; MODELOS ESTADISTICOS; TRIGO. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 05363naa a2201417 a 4500
001 1053856
005 2019-10-09
008 2015 bl uuuu u00u1 u #d
022 $a0168-1923
024 7 $a10.1016/j.agrformet.2015.09.013$2DOI
100 1 $aMARCAIDA, M.
245 $aA statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration.
260 $c2015
500 $aArticle history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015.
520 $aABSTRACT. Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2]. © 2015 Elsevier B.V. All rights reserved.
650 $aARROZ
650 $aCAMBIO CLIMÁTICO
650 $aMAÍZ
650 $aMODELOS ESTADISTICOS
650 $aTRIGO
653 $aClimate change
653 $aCROP MODEL
653 $aEmulator
653 $aMAIZE
653 $aMeta-model
653 $aMODELIZACIÓN DE LOS CULTIVOS
653 $aRICE
653 $aStatistical model
653 $aWHEAT
653 $aYield
700 1 $aASSENG, S.
700 1 $aEWERT, F.
700 1 $aBASSU, S.
700 1 $aDURAND, J.L.
700 1 $aLI, T.
700 1 $aMARTRE, P.
700 1 $aADAM, M.
700 1 $aAGGARWAL, P.K.
700 1 $aANGULO, C.
700 1 $aBARON, C.
700 1 $aBASSO, B.
700 1 $aBERTUZZI, P.
700 1 $aBIERNATH, C.
700 1 $aBOOGAARD, H.
700 1 $aBOOTE, K.J.
700 1 $aBOUMAN, B.
700 1 $aBREGAGLIO, S.
700 1 $aBRISSON, N.
700 1 $aBUIS, S.
700 1 $aCAMMARANO, D.
700 1 $aCHALLINOR, A.J.
700 1 $aCONFALONIERI, R.
700 1 $aCONIJN, J.G.
700 1 $aCORBEELS, M.
700 1 $aDERYNG, D.
700 1 $aDE SANCTIS, G.
700 1 $aDOLTRA, J.
700 1 $aFUMOTO, T.
700 1 $aGAYDON, D.
700 1 $aGAYLER, S.
700 1 $aGOLDBERG, R.
700 1 $aGRANT, R.F.
700 1 $aGRASSINI, P.
700 1 $aHATFIELD, J.L.
700 1 $aHASEGAWA, T.
700 1 $aHENG, L.
700 1 $aHOEK, S.
700 1 $aHOOKER, J.
700 1 $aHUNT, L.A.
700 1 $aINGWERSEN, J.
700 1 $aIZAURRALDE, R.C.
700 1 $aJONGSCHAAP, R.E.E.
700 1 $aJONES, J.W.
700 1 $aKEMANIAN, R.A.
700 1 $aKERSEBAUM, K.C.
700 1 $aKIM, S.-H.
700 1 $aLIZASO, J.
700 1 $aMÜLLER, C.
700 1 $aNAKAGAWA, H.
700 1 $aNARESH KUMAR, S.
700 1 $aNENDEL, C.
700 1 $aO'LEARY, G.J.
700 1 $aOLESEN, J.E.
700 1 $aORIOL, P.
700 1 $aOSBORNE, T.M.
700 1 $aPALOSUO, T.
700 1 $aPRAVIA, V.
700 1 $aPRIESACK, E.
700 1 $aRIPOCHE, D.
700 1 $aROSENZWEIG, C.
700 1 $aRUANE, A.C.
700 1 $aRUGET, F.
700 1 $aSAU, F.
700 1 $aSEMENOV, M.A.
700 1 $aSHCHERBAK, I.
700 1 $aSINGH, B.
700 1 $aSINGH, U.
700 1 $aSOO, H.K.
700 1 $aSTEDUTO, P.
700 1 $aSTÖCKLE, C.
700 1 $aSTRATONOVITCH, P.
700 1 $aSTRECK, T.
700 1 $aSUPIT, I.
700 1 $aTANG, L.
700 1 $aTAO, F.
700 1 $aTEIXEIRA, E.I.
700 1 $aTHORBURN, P.
700 1 $aTIMLIN, D.
700 1 $aTRAVASSO, M.
700 1 $aRÖTTER, R.P.
700 1 $aWAHA, K.
700 1 $aWALLACH, D.
700 1 $aWHITE, J.W.
700 1 $aWILKENS, P.
700 1 $aWILLIAMS, J.R.
700 1 $aWOLF, J.
700 1 $aYIN, X.
700 1 $aYOSHIDA, H.
700 1 $aZHANG, Z.
700 1 $aZHU, Y.
773 $tAgricultural and Forest Meteorology, 2015$gv.214-215, p. 483-493.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
29/10/2014 |
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Actualizado : |
11/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 2 |
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Autor : |
VICENTE, E.; GIMENEZ, G.; MANZZIONI, A.; VILARÓ, F.; GONZÁLEZ-ARCOS, M.; CABOT, M. |
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Afiliación : |
CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO GIMENEZ FRANQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WASHINGTON ARIEL MANZZIONI FERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANCISCO LUIS VILARO PAREJA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MATIAS GONZÁLEZ-ARCOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO EBERT CABOT BACCHETTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Strawberry Breeding in Uruguay. |
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Fecha de publicación : |
2009 |
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Fuente / Imprenta : |
Acta Horticulturae, 2009, no.842, p.411-414. |
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Serie : |
(Acta Horticulturae; 842) |
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ISBN : |
978-90-66056-42-8 |
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ISSN : |
0567-7572 (print) / 2406-6168 (electronic) |
|
DOI : |
10.17660/ActaHortic.2009.842.80 |
|
Idioma : |
Inglés |
|
Notas : |
ISHS Acta Horticulturae 842: VI International Strawberry Symposium. Editor: J. López-Medina. Publication date: 31 August 2009. |
|
Contenido : |
ABSTRACT.
The strawberry fruit production in Uruguay is mainly dedicated to the internal fresh market but there are some experiences of exportation to regional and off shore countries. The crop is done in the annual hill system without the use of methyl bromide and the mean yield is about 40 t/ha. Main crop areas are located in the Northwest (Salto, 31°S) and in the South (San José, 34°S). The winter and early spring fruit production is obtained in the Northwest area with crops under low and high tunnels using short day cultivars like 'INIA Yvahé', 'INIA Arazá' and 'Earlibrite'. Transplants are locally produced in this area in greenhouse nurseries. The Southern area produces fruit in the spring with open field crops using short day cultivars like 'Camarosa' and 'Camino Real' and in the summer with day neutral cultivars like 'Aromas' and 'Seascape'. Frigo-transplants of the introduced cultivars are imported from Spain and USA. Problems of adaptation to the climatic and agronomic conditions of Uruguay have been observed in the introduced cultivars. This was translated to low yields, low fruit quality and susceptibility to diseases prevalent in the regions of production. For that reason the Strawberry Breeding Project of INIA Uruguay aims to obtain cultivars adapted to the different environments of the country. The products of this breeding project, initiated in 1992, are the cultivars 'INIA Arazá', released in 2002, with high early yield and resistance to anthracnose; 'INIA Yvahé', released in 2004, with early yield and excellent flavor, resistant to anthracnose; 'INIA Guenoa', released in 2007, with high yield, excellent fruit quality, better adapted to high tunnels and resistant to powdery mildew; 'INIA Yvapitá', to be released in 2008 for open field crop, recommended for organic production and processing, resistant to several soil, foliage and fruit diseases. New selections are in different stages of evaluation. A method of propagation was adjusted to ensure appropriated quality of the transplants. MenosABSTRACT.
The strawberry fruit production in Uruguay is mainly dedicated to the internal fresh market but there are some experiences of exportation to regional and off shore countries. The crop is done in the annual hill system without the use of methyl bromide and the mean yield is about 40 t/ha. Main crop areas are located in the Northwest (Salto, 31°S) and in the South (San José, 34°S). The winter and early spring fruit production is obtained in the Northwest area with crops under low and high tunnels using short day cultivars like 'INIA Yvahé', 'INIA Arazá' and 'Earlibrite'. Transplants are locally produced in this area in greenhouse nurseries. The Southern area produces fruit in the spring with open field crops using short day cultivars like 'Camarosa' and 'Camino Real' and in the summer with day neutral cultivars like 'Aromas' and 'Seascape'. Frigo-transplants of the introduced cultivars are imported from Spain and USA. Problems of adaptation to the climatic and agronomic conditions of Uruguay have been observed in the introduced cultivars. This was translated to low yields, low fruit quality and susceptibility to diseases prevalent in the regions of production. For that reason the Strawberry Breeding Project of INIA Uruguay aims to obtain cultivars adapted to the different environments of the country. The products of this breeding project, initiated in 1992, are the cultivars 'INIA Arazá', released in 2002, with high early yield and resistance to anthracnose; 'INIA Y... Presentar Todo |
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Palabras claves : |
Cultivars; Disease resistance; Fragaria × ananassa Duch. |
|
Thesagro : |
FRESA; FRUTILLA; RESISTENCIA A LA ENFERMEDAD; VARIEDADES. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 03064naa a2200325 a 4500
001 1051368
005 2019-11-11
008 2009 bl uuuu u00u1 u #d
020 $a978-90-66056-42-8
022 $a0567-7572 (print) / 2406-6168 (electronic)
024 7 $a10.17660/ActaHortic.2009.842.80$2DOI
100 1 $aVICENTE, E.
245 $aStrawberry Breeding in Uruguay.$h[electronic resource]
260 $c2009
490 $a(Acta Horticulturae; 842)
500 $aISHS Acta Horticulturae 842: VI International Strawberry Symposium. Editor: J. López-Medina. Publication date: 31 August 2009.
520 $aABSTRACT. The strawberry fruit production in Uruguay is mainly dedicated to the internal fresh market but there are some experiences of exportation to regional and off shore countries. The crop is done in the annual hill system without the use of methyl bromide and the mean yield is about 40 t/ha. Main crop areas are located in the Northwest (Salto, 31°S) and in the South (San José, 34°S). The winter and early spring fruit production is obtained in the Northwest area with crops under low and high tunnels using short day cultivars like 'INIA Yvahé', 'INIA Arazá' and 'Earlibrite'. Transplants are locally produced in this area in greenhouse nurseries. The Southern area produces fruit in the spring with open field crops using short day cultivars like 'Camarosa' and 'Camino Real' and in the summer with day neutral cultivars like 'Aromas' and 'Seascape'. Frigo-transplants of the introduced cultivars are imported from Spain and USA. Problems of adaptation to the climatic and agronomic conditions of Uruguay have been observed in the introduced cultivars. This was translated to low yields, low fruit quality and susceptibility to diseases prevalent in the regions of production. For that reason the Strawberry Breeding Project of INIA Uruguay aims to obtain cultivars adapted to the different environments of the country. The products of this breeding project, initiated in 1992, are the cultivars 'INIA Arazá', released in 2002, with high early yield and resistance to anthracnose; 'INIA Yvahé', released in 2004, with early yield and excellent flavor, resistant to anthracnose; 'INIA Guenoa', released in 2007, with high yield, excellent fruit quality, better adapted to high tunnels and resistant to powdery mildew; 'INIA Yvapitá', to be released in 2008 for open field crop, recommended for organic production and processing, resistant to several soil, foliage and fruit diseases. New selections are in different stages of evaluation. A method of propagation was adjusted to ensure appropriated quality of the transplants.
650 $aFRESA
650 $aFRUTILLA
650 $aRESISTENCIA A LA ENFERMEDAD
650 $aVARIEDADES
653 $aCultivars
653 $aDisease resistance
653 $aFragaria × ananassa Duch
700 1 $aGIMENEZ, G.
700 1 $aMANZZIONI, A.
700 1 $aVILARÓ, F.
700 1 $aGONZÁLEZ-ARCOS, M.
700 1 $aCABOT, M.
773 $tActa Horticulturae, 2009, no.842, p.411-414.
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