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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
27/08/2020 |
Actualizado : |
21/05/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
BARAIBAR, S.; GARCIA, R.; SILVA, P.; LADO, B.; CASTRO, A.; GUTIÉRREZ , L.; KAVANOVÁ, M.; QUINCKE, M.; BHAVANI , S.; RANDHAWA, M.S.; GERMAN, S. |
Afiliación : |
SILVINA BARAIBAR PEDERSEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICHARD ANSELMO GARCIA USUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BETINA LADO, Facultad de Agronomía, Universidad de la República, Garzón 780, 12900 Montevideo, Uruguay.; AIREL CASTRO, Facultad de Agronomía, Universidad de la República, Estación Experimental Dr. Mario A. Cassinoni, Ruta 3, km 363, 60000 Paysandú, Uruguay; LUCIA GUTIÉRREZ, Department of Agronomy, University of Wisconsin–Madison, 1575, Linden Dr, Madison, WI 53706, USA.; MONIKA KAVANOVÁ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SRIDHAR BHAVANI, International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera, México-Veracruz, El Batán, CP 56237 Texcoco, Edo. de México, Mexico.; MANDEEP S. RANDHAWA, International Maize and Wheat Improvement Center (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, P.O. Box 1041, Nairobi 00621, Kenya.; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
QTL of resistance to Ug99 and other stem rust pathogen races in bread wheat. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Molecular Breeding, 1 August 2020, Volume 40, Issue 8, Article number 82. DOI: https://doi.org/10.1007/s11032-020-01153-5 |
DOI : |
10.1007/s11032-020-01153-5 |
Idioma : |
Inglés |
Notas : |
Article history: Received 26 June 2019/ Accepted 23 October 2019/ Published 15 August 2020. |
Contenido : |
Abstract:
Most wheat cultivars planted worldwide are susceptible to the stem rust Ug99 race group. To prepare for the potential spread of these races into South America, we aimed to identify genomic regions responsible for resistance to Ug99 race group in germplasm adapted to South America. Two RIL populations from a cross between a stem rust susceptible parent ?Baguette 13? and resistant local parents ?INIA Tero? and ?BR23//CEP19/PF85490? were developed. Phenotypical evaluation was completed at the seedling stage in Uruguay and under field conditions in Uruguay and Kenya. Both RIL populations were genotyped using the GBS approach. Besides Sr24, three other resistance loci in ?INIA Tero? were detected on chromosomes 2B, 6A, and 7B. All four QTL were effective to local races, whereas only the QTL on chromosome 2B was effective against the Ug99 race group. Besides Sr31, ?BR23//CEP19/PF85490? also carries two other stem rust resistance loci on chromosomes 2B and 6A. All three explained the resistance in Uruguay, while only the QTL on 2B was effective to Ug99 in Kenya. The physical location suggested that the QTL identified on chromosome 2B in both populations may correspond to Sr28, which was confirmed using specific molecular markers. Further studies are needed to determine the relationship between QTL for resistance to local races identified on chromosomes 6A and 7B and previously reported resistance genes and QTL. The results of this study are highly relevant for breeding wheat cultivars with diverse and durable resistance to stem rust. MenosAbstract:
Most wheat cultivars planted worldwide are susceptible to the stem rust Ug99 race group. To prepare for the potential spread of these races into South America, we aimed to identify genomic regions responsible for resistance to Ug99 race group in germplasm adapted to South America. Two RIL populations from a cross between a stem rust susceptible parent ?Baguette 13? and resistant local parents ?INIA Tero? and ?BR23//CEP19/PF85490? were developed. Phenotypical evaluation was completed at the seedling stage in Uruguay and under field conditions in Uruguay and Kenya. Both RIL populations were genotyped using the GBS approach. Besides Sr24, three other resistance loci in ?INIA Tero? were detected on chromosomes 2B, 6A, and 7B. All four QTL were effective to local races, whereas only the QTL on chromosome 2B was effective against the Ug99 race group. Besides Sr31, ?BR23//CEP19/PF85490? also carries two other stem rust resistance loci on chromosomes 2B and 6A. All three explained the resistance in Uruguay, while only the QTL on 2B was effective to Ug99 in Kenya. The physical location suggested that the QTL identified on chromosome 2B in both populations may correspond to Sr28, which was confirmed using specific molecular markers. Further studies are needed to determine the relationship between QTL for resistance to local races identified on chromosomes 6A and 7B and previously reported resistance genes and QTL. The results of this study are highly relevant for breeding wh... Presentar Todo |
Palabras claves : |
GENETIC RESISTANCE; PUCCINIA GRAMINIS F. SP. TRITICI; QTL MAPPING; TRITICUM AESTIVUM. |
Thesagro : |
RESISTENCIA GENETICA; TRIGO. |
Asunto categoría : |
H20 Enfermedades de las plantas |
Marc : |
LEADER 02649naa a2200337 a 4500 001 1061286 005 2021-05-21 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1007/s11032-020-01153-5$2DOI 100 1 $aBARAIBAR, S. 245 $aQTL of resistance to Ug99 and other stem rust pathogen races in bread wheat.$h[electronic resource] 260 $c2020 500 $aArticle history: Received 26 June 2019/ Accepted 23 October 2019/ Published 15 August 2020. 520 $aAbstract: Most wheat cultivars planted worldwide are susceptible to the stem rust Ug99 race group. To prepare for the potential spread of these races into South America, we aimed to identify genomic regions responsible for resistance to Ug99 race group in germplasm adapted to South America. Two RIL populations from a cross between a stem rust susceptible parent ?Baguette 13? and resistant local parents ?INIA Tero? and ?BR23//CEP19/PF85490? were developed. Phenotypical evaluation was completed at the seedling stage in Uruguay and under field conditions in Uruguay and Kenya. Both RIL populations were genotyped using the GBS approach. Besides Sr24, three other resistance loci in ?INIA Tero? were detected on chromosomes 2B, 6A, and 7B. All four QTL were effective to local races, whereas only the QTL on chromosome 2B was effective against the Ug99 race group. Besides Sr31, ?BR23//CEP19/PF85490? also carries two other stem rust resistance loci on chromosomes 2B and 6A. All three explained the resistance in Uruguay, while only the QTL on 2B was effective to Ug99 in Kenya. The physical location suggested that the QTL identified on chromosome 2B in both populations may correspond to Sr28, which was confirmed using specific molecular markers. Further studies are needed to determine the relationship between QTL for resistance to local races identified on chromosomes 6A and 7B and previously reported resistance genes and QTL. The results of this study are highly relevant for breeding wheat cultivars with diverse and durable resistance to stem rust. 650 $aRESISTENCIA GENETICA 650 $aTRIGO 653 $aGENETIC RESISTANCE 653 $aPUCCINIA GRAMINIS F. SP. TRITICI 653 $aQTL MAPPING 653 $aTRITICUM AESTIVUM 700 1 $aGARCIA, R. 700 1 $aSILVA, P. 700 1 $aLADO, B. 700 1 $aCASTRO, A. 700 1 $aGUTIÉRREZ , L. 700 1 $aKAVANOVÁ, M. 700 1 $aQUINCKE, M. 700 1 $aBHAVANI , S. 700 1 $aRANDHAWA, M.S. 700 1 $aGERMAN, S. 773 $tMolecular Breeding, 1 August 2020, Volume 40, Issue 8, Article number 82. DOI: https://doi.org/10.1007/s11032-020-01153-5
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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
28/03/2016 |
Actualizado : |
24/09/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
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.
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