| |
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Treinta y Tres. |
|
Fecha : |
28/03/2016 |
|
Actualizado : |
24/09/2018 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
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. |
|
Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, The Pennsylvania State University, USA. |
|
Título : |
How do various maize crop models vary in their responses to climate change factors? |
|
Fecha de publicación : |
2014 |
|
Fuente / Imprenta : |
Global Change Biology, 2014, v.20(7), p. 2301-2320. |
|
DOI : |
10.1111/gcb.12520 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014. |
|
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 |
|
Palabras claves : |
AGMIP; CARBON DIOXIDE; CLIMATE; CO2; GRAIN YIELD; MAIZE; MODEL INTERCOMPARISON; MODELIZACIÓN DE CULTIVOS; SIMULATION MODELS; TEMPERATURE. |
|
Thesagro : |
CLIMA; DIOXIDO DE CARBONO; INCERTIDUMBRE; MAÍZ; MODELOS DE SIMULACIÓN; TEMPERATURA. |
|
Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
|
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.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Treinta y Tres (TT) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
22/02/2021 |
|
Actualizado : |
22/02/2021 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
Internacional - -- |
|
Autor : |
ZOPPOLO, R.; RODRIGUEZ, P.; UBERTI, A.; SANTANA, A. S.; CONIBERTI, A.; CABRERA, D. |
|
Afiliación : |
ROBERTO JOSE ZOPPOLO GOLDSCHMIDT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO ANDRES RODRIGUEZ BRUNO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. UBERTI, Universidad Federal da Fronteira Sul - UFFS, Chapeco?, Brazil; A. S. SANTANA, Universidad Federal da Fronteira Sul - UFFS, Chapeco?, Brazil; ANDRES CONIBERTI MUNDY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS DANILO CABRERA BOLOGNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
|
Título : |
Influence of climatic factors on productivity of 'Williams' pear trees on different rootstocks. [Conference paper]. |
|
Fecha de publicación : |
2021 |
|
Fuente / Imprenta : |
Acta Horticulturae, February 2021, N°1303, p. 251-258. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.36 |
|
ISSN : |
0567-7572 (print); 2406-6168 (electronic) |
|
DOI : |
10.17660/ActaHortic.2021.1303.36 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein. |
|
Contenido : |
Abstract:
Pear (Pyrus communis) is reasonably well-adapted to the average climatic conditions of southern Uruguay, but the climatic variables are not always agreeable for satisfactory production. The objective of this research was to evaluate the impact of climatic factors, on yield components (average fruit weight and productivity) of 'Williams' pears on two different rootstocks ('OH×F40' and 'BA29'). The experiment was established in July 2003 at Instituto Nacional de Investigación Agropecuaria - INIA Las Brujas (34°67?S; 56°37?W). According to Köppen-Geiger classification, the climate of the studied region is ?Cfa? and the soil type is a Typic Argiudoll. To analyze the contribution of climatic factors on productivity of pear trees, a principal component analysis (PCA) was applied using the statistical software R. The correlations between yield components and precipitation, cold units, chill hours (≤7.2°C), relative humidity, evapotranspiration and average temperature were studied from the growing season 2014/15 until 2017/18. Climatic data were collected from the meteorological station at INIA Las Brujas, located less than 500 m from the trial plot. Climatic factors had a more significant effect on 'Williams' productivity than the rootstock factor. One main factor affecting seasonal productivity was chill hours. The average productivity values for the two rootstocks during the cycles 2015/16 and 2017/18 was zero and 7.2 t ha‑1, respectively. During the seasons where chilling was not the limiting factor (>500 chill hours), productivity was significantly higher (25.3 and 42.8 t ha‑1 on average for 2014/15 and 2016/17 seasons, respectively). Precipitation during fruit growth and flower induction and differentiation was another main factor affecting productivity in the current and next season. Even though cumulative yield was significantly higher in OH×F40 compared to BA29 (85.9 vs. 64.8 t ha‑1, respectively) no consistent differences were detected between rootstocks seasonally.
@ International Society for Horticultural Science. MenosAbstract:
Pear (Pyrus communis) is reasonably well-adapted to the average climatic conditions of southern Uruguay, but the climatic variables are not always agreeable for satisfactory production. The objective of this research was to evaluate the impact of climatic factors, on yield components (average fruit weight and productivity) of 'Williams' pears on two different rootstocks ('OH×F40' and 'BA29'). The experiment was established in July 2003 at Instituto Nacional de Investigación Agropecuaria - INIA Las Brujas (34°67?S; 56°37?W). According to Köppen-Geiger classification, the climate of the studied region is ?Cfa? and the soil type is a Typic Argiudoll. To analyze the contribution of climatic factors on productivity of pear trees, a principal component analysis (PCA) was applied using the statistical software R. The correlations between yield components and precipitation, cold units, chill hours (≤7.2°C), relative humidity, evapotranspiration and average temperature were studied from the growing season 2014/15 until 2017/18. Climatic data were collected from the meteorological station at INIA Las Brujas, located less than 500 m from the trial plot. Climatic factors had a more significant effect on 'Williams' productivity than the rootstock factor. One main factor affecting seasonal productivity was chill hours. The average productivity values for the two rootstocks during the cycles 2015/16 and 2017/18 was zero and 7.2 t ha‑1, respectively. During the seasons... Presentar Todo |
|
Palabras claves : |
ALTERNATE BEARING; PCA - PRINCIPAL COMPONENT ANALYSIS; PRECIPITATION. |
|
Thesagro : |
PYRUS COMMUNIS. |
|
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
|
Marc : |
LEADER 03222naa a2200265 a 4500
001 1061742
005 2021-02-22
008 2021 bl uuuu u00u1 u #d
022 $a0567-7572 (print); 2406-6168 (electronic)
024 7 $a10.17660/ActaHortic.2021.1303.36$2DOI
100 1 $aZOPPOLO, R.
245 $aInfluence of climatic factors on productivity of 'Williams' pear trees on different rootstocks. [Conference paper].$h[electronic resource]
260 $c2021
500 $aArticle history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein.
520 $aAbstract: Pear (Pyrus communis) is reasonably well-adapted to the average climatic conditions of southern Uruguay, but the climatic variables are not always agreeable for satisfactory production. The objective of this research was to evaluate the impact of climatic factors, on yield components (average fruit weight and productivity) of 'Williams' pears on two different rootstocks ('OH×F40' and 'BA29'). The experiment was established in July 2003 at Instituto Nacional de Investigación Agropecuaria - INIA Las Brujas (34°67?S; 56°37?W). According to Köppen-Geiger classification, the climate of the studied region is ?Cfa? and the soil type is a Typic Argiudoll. To analyze the contribution of climatic factors on productivity of pear trees, a principal component analysis (PCA) was applied using the statistical software R. The correlations between yield components and precipitation, cold units, chill hours (≤7.2°C), relative humidity, evapotranspiration and average temperature were studied from the growing season 2014/15 until 2017/18. Climatic data were collected from the meteorological station at INIA Las Brujas, located less than 500 m from the trial plot. Climatic factors had a more significant effect on 'Williams' productivity than the rootstock factor. One main factor affecting seasonal productivity was chill hours. The average productivity values for the two rootstocks during the cycles 2015/16 and 2017/18 was zero and 7.2 t ha‑1, respectively. During the seasons where chilling was not the limiting factor (>500 chill hours), productivity was significantly higher (25.3 and 42.8 t ha‑1 on average for 2014/15 and 2016/17 seasons, respectively). Precipitation during fruit growth and flower induction and differentiation was another main factor affecting productivity in the current and next season. Even though cumulative yield was significantly higher in OH×F40 compared to BA29 (85.9 vs. 64.8 t ha‑1, respectively) no consistent differences were detected between rootstocks seasonally. @ International Society for Horticultural Science.
650 $aPYRUS COMMUNIS
653 $aALTERNATE BEARING
653 $aPCA - PRINCIPAL COMPONENT ANALYSIS
653 $aPRECIPITATION
700 1 $aRODRIGUEZ, P.
700 1 $aUBERTI, A.
700 1 $aSANTANA, A. S.
700 1 $aCONIBERTI, A.
700 1 $aCABRERA, D.
773 $tActa Horticulturae, February 2021, N°1303, p. 251-258. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.36
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
