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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
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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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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INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
12/10/2015 |
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Actualizado : |
12/10/2015 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
LIZARRALDE, C.; BAETHGEN, W.; CADENAZZI, M.; CAPURRO, M.C.; SAWCHIK, J. |
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Afiliación : |
CAROLINA ANGELA LIZARRALDE PIQUET, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER BAETHGEN, Columbia University. International Research Institute for Climate and Society.; MÓNICA CADENAZZI, Universidad de la República (UdelaR), Uruguay.; MARIA CRISTINA CAPURRO BAZZANO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE SAWCHIK PINTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Phosphorus runoff in a non-fertilized soybean production system of SW Uruguay: abstract. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Agrociencia Uruguay, v. 19, special issue "Inter-Regional CIGR Conference on Land and Water Challenges, 3., La Estanzuela, Colonia, UY. Tools for developing; "Dr. Mario García Petillo"", p. 24, 2015. |
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ISSN : |
1510-0839. |
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Idioma : |
Inglés |
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Contenido : |
Since 2001/2002 there has been a formidable expansion of annual crops in Uruguay which has determined changes in land
use, with a strong expansion of soybeans (Glycine max) under no-tillage. Improperly managed crop production systems can
be an important nonpoint source of pollution, accelerating eutrophication of surface waters resulting from nitrogen and phosphorus
(P) inputs. Nutrient losses depend on many factors such as climate, soil characteristics and management practices. Thus, the
objective of this work was to estimate the annual P loss on a cropping system and to determine the main factors contributing
to such losses. Runoff plots were located at the Experimental Station of the National Agricultural Research Institute in Colonia
(INIA "La Estanzuela"), Uruguay (34º25´S, 58º0´W) during the period 2013-2014. Plots were under a Vertic Argiudoll soil with
18.5 mg/kg P-Bray I on the first 7,5 cm, a 3% slope and available water content of 92.7 mm on the first 56 cm of soil depth. The
rotation established was soybean - fallow/cover crop, non-fertilized for over 5 years. The amount of runoff water was measured
for 23 rainfall events and analyzed for soluble P. During that period the soybean yield was similar to the national average yield
and the annual P loss was 0.5 kg/ha. Available water, precipitation, maximum rainfall intensity and runoff explained most of the
variation in P runoff losses. Rainfall events of high magnitude and intensity on soils with high available water were identified as
the events that produced higher water and P runoff. On the other hand, the model that best fitted P losses was just explained by
rainfall and runoff (P = - 9.99 + 0.95*rainfall +21.56*runoff; R2=0.73). Overall, our results indicate that these soybean-cover
crop systems under no-tillage, on soils with proper nutrient status and non-fertilized for a long time seem to be economically
and environmentally adequate management systems MenosSince 2001/2002 there has been a formidable expansion of annual crops in Uruguay which has determined changes in land
use, with a strong expansion of soybeans (Glycine max) under no-tillage. Improperly managed crop production systems can
be an important nonpoint source of pollution, accelerating eutrophication of surface waters resulting from nitrogen and phosphorus
(P) inputs. Nutrient losses depend on many factors such as climate, soil characteristics and management practices. Thus, the
objective of this work was to estimate the annual P loss on a cropping system and to determine the main factors contributing
to such losses. Runoff plots were located at the Experimental Station of the National Agricultural Research Institute in Colonia
(INIA "La Estanzuela"), Uruguay (34º25´S, 58º0´W) during the period 2013-2014. Plots were under a Vertic Argiudoll soil with
18.5 mg/kg P-Bray I on the first 7,5 cm, a 3% slope and available water content of 92.7 mm on the first 56 cm of soil depth. The
rotation established was soybean - fallow/cover crop, non-fertilized for over 5 years. The amount of runoff water was measured
for 23 rainfall events and analyzed for soluble P. During that period the soybean yield was similar to the national average yield
and the annual P loss was 0.5 kg/ha. Available water, precipitation, maximum rainfall intensity and runoff explained most of the
variation in P runoff losses. Rainfall events of high magnitude and intensity on soils with high available wate... Presentar Todo |
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Palabras claves : |
ESCORRENTÍA DE FÓSFORO; ESCURRIMIENTO DE FÓSFORO; EUTROFICACIÓN; PÉRDIDAS DE FÓSFORO. |
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Thesagro : |
GLYCINE MAX; SIEMBRA DIRECTA; SOJA; SUELOS. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5053/1/Agrociencia-Congreso-CIGR2015-v.19.si.p.24-LIZARRALDE.pdf
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Marc : |
LEADER 02846nam a2200265 a 4500
001 1053549
005 2015-10-12
008 2015 bl uuuu u01u1 u #d
022 $a1510-0839.
100 1 $aLIZARRALDE, C.
245 $aPhosphorus runoff in a non-fertilized soybean production system of SW Uruguay$babstract.
260 $aAgrociencia Uruguay, v. 19, special issue "Inter-Regional CIGR Conference on Land and Water Challenges, 3., La Estanzuela, Colonia, UY. Tools for developing; "Dr. Mario García Petillo"", p. 24$c2015
520 $aSince 2001/2002 there has been a formidable expansion of annual crops in Uruguay which has determined changes in land use, with a strong expansion of soybeans (Glycine max) under no-tillage. Improperly managed crop production systems can be an important nonpoint source of pollution, accelerating eutrophication of surface waters resulting from nitrogen and phosphorus (P) inputs. Nutrient losses depend on many factors such as climate, soil characteristics and management practices. Thus, the objective of this work was to estimate the annual P loss on a cropping system and to determine the main factors contributing to such losses. Runoff plots were located at the Experimental Station of the National Agricultural Research Institute in Colonia (INIA "La Estanzuela"), Uruguay (34º25´S, 58º0´W) during the period 2013-2014. Plots were under a Vertic Argiudoll soil with 18.5 mg/kg P-Bray I on the first 7,5 cm, a 3% slope and available water content of 92.7 mm on the first 56 cm of soil depth. The rotation established was soybean - fallow/cover crop, non-fertilized for over 5 years. The amount of runoff water was measured for 23 rainfall events and analyzed for soluble P. During that period the soybean yield was similar to the national average yield and the annual P loss was 0.5 kg/ha. Available water, precipitation, maximum rainfall intensity and runoff explained most of the variation in P runoff losses. Rainfall events of high magnitude and intensity on soils with high available water were identified as the events that produced higher water and P runoff. On the other hand, the model that best fitted P losses was just explained by rainfall and runoff (P = - 9.99 + 0.95*rainfall +21.56*runoff; R2=0.73). Overall, our results indicate that these soybean-cover crop systems under no-tillage, on soils with proper nutrient status and non-fertilized for a long time seem to be economically and environmentally adequate management systems
650 $aGLYCINE MAX
650 $aSIEMBRA DIRECTA
650 $aSOJA
650 $aSUELOS
653 $aESCORRENTÍA DE FÓSFORO
653 $aESCURRIMIENTO DE FÓSFORO
653 $aEUTROFICACIÓN
653 $aPÉRDIDAS DE FÓSFORO
700 1 $aBAETHGEN, W.
700 1 $aCADENAZZI, M.
700 1 $aCAPURRO, M.C.
700 1 $aSAWCHIK, J.
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