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| Registros recuperados : 175 | |
| 141. |  | BERBERIAN, N.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; MARTÍNEZ, S.; GUTIÉRREZ, L. Model comparison and experimental design simulation including natural field variability in rice crop (Oryza sativa L.). In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR). FACULTAD DE AGRONOMÍA. Resúmenes. Jornadas de Investigación, 8-9 nov., 2018, Montevideo, Uruguay. Montevideo; FAGRO, 2019. p. 14 Trabajo originalmente presentado en: Berberian, N.; Bonecarrere, V.; Blaco, P.; Pérez de Vida, F.; Rosas, J.; Martínez, S.; Gutíerrez, L. 2018. International Biometric Conference, 29. Model comparison and experimental design...| Biblioteca(s): INIA Treinta y Tres. |
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| 142. | | REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; PÉREZ DE VIDA, F.; ROSAS, J.E. Instituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset]. DRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8 Correspondence author: Juan E. Rosas, email: jrosas@inia.org.uy -- Publication date: February 16, 2024. -- This dataset is embargoed and will be released when the associated article is published. Lists of files and downloads will become...| Biblioteca(s): INIA Las Brujas. |
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| 144. | | BAO, L.; GINELLA, J.; CADENAZZI, M.; CASTIGLIONI, E.A.; MARTÍNEZ, S.; CASALES, L.; CARABALLO, M.P.; LABORDA, A.; SIMO, M. Spider assemblages associated with different crop stages of irrigated rice agroecosystems form eastern Uruguay. Biodiversity Data Journal, 6: e24974 Article history: Received: 12 Mar 2018. Accepted: 24 Apr 2018. Published: 3 May 2018.| Biblioteca(s): INIA Treinta y Tres. |
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| 145. | | MACEDO, I.; CASTILLO, J.; SALDAIN, N.E.; MARTÍNEZ, S.; ZORRILLA DE SAN MARTÍN, G.; TERRA, J.A. Rice yield under contrasting rice rotations systems in a temperate zone of South America. In: International Temperate Rice Conference, 6-9 de marzo, Griffith, NSW, Australia, 2017. 3 p.| Biblioteca(s): INIA Treinta y Tres. |
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| 146. | | MACEDO, I.; CASTILLO, J.; SALDAIN, N.E.; MARTÍNEZ, S.; AYALA, W.; SERRON, N.; BORDAGORRI, P.; HERNANDEZ, J.; TERRA, J.A. Rotaciones arroceras: resultados productivos en las primeras cuatro zafras. ln: JORNADA ANUAL ARROZ, 2016, INIA TREINTA Y TRES, TREINTA Y TRES, UY. Arroz: resultados experimentales 2015-2016. Treinta y Tres, (Uruguay): INIA, 2016. cap. 4, p. 1-3. (INIA Serie Actividades de Difusión; 765) Acceso a publicación y presentación oral.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 147. | | MACEDO, I.; CASTILLO, J.; SALDAIN, N.E.; MARTÍNEZ, S.; BERMÚDEZ, R.; AYALA, W.; HERNANDEZ, J.; TERRA, J.A. Rotaciones arroceras: resultados productivos en las primeras tres zafras. ln: [JORNADA ANUAL] ARROZ-SOJA, 2015, Treinta y Tres, UY. Resultados experimentales 2014-2015. Treinta y Tres: INIA, 2015. Cap. 6, p.1-3. (INIA Serie Actividades de Difusión; 748)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 149. | | BONNECARRERE, V.; GARAYCOCHEA, S.; GUTIERREZ, L.; ROSAS, J.E.; BERBERIAN, N.; FERNÁNDEZ, S.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H. Avances de resultados del proyecto mapeo asociativo para la identificación de marcadores asociados a rendimiento, calidad y resistencia a enfermedades In: PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ; JORNADA ANUAL ARROZ-SOJA, 2013, INIA TREINTA Y TRES, UY. Arroz-soja: resultados experimentales 2012-2013. Treinta y Tres: INIA, 2013. "cap. 6; p. 22-24" (INIA Serie Actividades de Difusión ; 713)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 150. | | BLANCO, P.H.; PÉREZ DE VIDA, F.; MOLINA, F.; LAVECCHIA, A.; MARCHESI, C.; BONNECARRERE, V.; MARTINEZ, S.; SILVERA, W.; ROSAS, J.E.; ARISMENDI, G.; CASALES, L.; ESCALANTE, F. Comentarios generales sobre la evaluación interna de cultivares. ln: INIA TREINTA Y TRES. Arroz : Resultados experimentales 2010-2011. Treinta y Tres (Uruguay): INIA, 2011. C. 6 p. 3-5. (INIA Serie Actividades de Difusión; 651)| Biblioteca(s): INIA Treinta y Tres. |
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| 151. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, M.; PÉREZ DE VIDA, F.; BLANCO, P.H.; MALOSETTI, M.; JANNINK, J.L.; GUTIÉRREZ, L. Comparison of phenotyping methods for resistance to stem rot and aggregated sheath spot in rice. Crop Science, 2016, v. 56, no. 4, p. 1619-1627. Open Access Article history: Published June 15, 2016.| Biblioteca(s): INIA Las Brujas. |
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| 152. | | BONNECARRERE, M.; ROSAS, J.; DIEZ, M.; CASTILLO, A.; GARAYCOCHEA, S.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; SALDAIN, N.E.; BLANCO, P.H. La Biotecnología en el campo: el ejemplo del arroz. ln: Jornada técnica, VI Jornada de agrobiotecnología. INIA Las Brujas, 20 de octubre de 2012 Conocimiento intensivo para el sector productivo: situación actual y perspectivas. Canelones (UY): INIA, 2012. 19-22 (Serie Actividades de Difusión; 698)| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 153. | | REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; AGUILAR, I.; PÉREZ DE VIDA, F.; ROSAS, J.E. Consolidating twenty-three years of historical data from an irrigated subtropical rice breeding program in Uruguay. Crop Science, 2023. https://doi.org/10.1002/csc2.20955 - [Article in Press]. Article history: First published 15 March 2023. -- Corresponding author: jrosas@inia.org.uy --| Biblioteca(s): INIA Las Brujas. |
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| 154. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GERMAN, S.; JANNINK, J.L.; GUTIÉRREZ, L. Evaluación de nuevos métodos de selección para resistencia a enfermedades del tallo y la vaina en arroz. In: Zorrilla, G.; Martínez, S.; Saravia, H. (Eds.) Arroz 2017. Montevideo (UY): INIA, 2017. p. 31-34. (INIA Serie Técnica; 233)| Biblioteca(s): INIA Treinta y Tres. |
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| 155. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.L.; GUTIÉRREZ, L. GWAS for resistance to stem rot and aggregated sheath spot in advanced temperate rice (Oryza sativa L.) germplasm. [Poster]. In: International Conference on Quantitative Genetics, (5o., 2016, Madison)| Biblioteca(s): INIA Treinta y Tres. |
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| 156. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; PÉREZ DE VIDA, F.; BLANCO, P.H.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.L.; GUTIERREZ, L. GWAS for resistance to stem rot and aggregated sheath spot of rice advanced breeding lines. [Poster]. In: International Symposium on Rice Functional Genomics, (14o., 2016, Montpellier),| Biblioteca(s): INIA Treinta y Tres. |
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| 157. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GERMAN, S.; JANNINK, J.L.; GUTIÉRREZ, L. Herramientas bioestadísticas para mejoramiento de la resistencia genética a enfermedades del tallo en arroz. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, X. Encuentro Nacional de REDBIO, II. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2017. p. 9-12. (Serie Actividades de Difusión; 780)| Biblioteca(s): INIA Las Brujas. |
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| 158. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.; GUTIERREZ, L. Mapeo asociativo de la resistencia a enfermedades del tallo y la vaina en germoplasma avanzado de arroz. 2 - SIMPOSIOS "MEJORAMIENTO GENÉTICO POR RESISTENCIA A ENFERMEDADES E INTERACCIONES PLANTA-PATÓGENO" In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 61| Biblioteca(s): INIA Las Brujas. |
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| 159. | | BONNECARRERE, M.; QUERO, G.; ROSAS, J.E.; FERNANDEZ, S.; GARAYCOCHEA, S.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; BERBERIAN, N.; GUTIERREZ, L. Marcadores moleculares identificados en el Proyecto "Mapeo asociativo para asistir el mejoramiento genético de arroz". In: JORNADA TÉCNICA, VIII JORNADA DE AGROBIOTECNOLOGÍA. INIA LAS BRUJAS, 30 DE OCTUBRE DE 2014. UNIDAD DE BIOTECNOLOGÍA. Montevideo (Uruguay): INIA, 2014. 5-6 (Actividades de Difusión; 741)| Biblioteca(s): INIA Las Brujas. |
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| 160. | | BONNECARRERE, V.; QUERO, G.; ROSAS, J.; FERNÁNDEZ, S.; GARAYCOCHEA, S.; MARTINEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; BERDERIAN, N.; GUTIERREZ, L. Marcadores moleculares identificados en el proyecto mapeo asociativo para asistir el mejoramiento por calidad del grano. En: INIA TREINTA Y TRES. Arroz-Soja:Resultados Experimentales 2013-2014. Treinta y Tres (UY): INIA Treinta y Tres. cap. 6. p. 24-26 (INIA Serie Actividades de Difusión; 735)| Biblioteca(s): INIA Treinta y Tres. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
10/01/2023 |
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Actualizado : |
10/01/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
GUARIN, J. R.; MARTRE, P; EWERT, F.; WEBBER, H.; DUERI, S.; CALDERINI, D.; REYNOLDS, M.; MOLERO, G.; MIRALLES, D.; GARCIA, G.; SLAFER, G.; GIUNTA, F.; PEQUENO, D. N. L.; STELLA, T.; AHMED, M.; ALDERMAN, P. D.; BASSO, B.; BERGER, A.; BINDI, M.; BRACHO-MUJICA, G.; CAMMARANO, D.; CHEN, Y.; DUMONT, B.; REZAEI, E. E.; FERERES, E.; FERRISE, R.; GAISER, T.; GAO, Y.; GARCIA-VILA, M.; GAYLER, S.; HOCHMAN, Z.; HOOGENBOOM, G.; HUNT, L. A.; KERSEBAUM, K. C.; NENDEL, C.; OLESEN, J. E.; PALOSUO, T.; PRIESACK, E.; PULLENS, J. W. M.; RODRÍGUEZ, A.; RÖTTER, R. P.; RUIZ RAMOS, M.; SEMENOV, M. A.; SENAPATI, N.; SIEBERT, S.; SRIVASTAVA, A. M.; STÖCKLE, C.; SUPIT, I.; TAO, F.; THORBURN, P.; WANG, E.; WEBER, T. K. D.; XIAO, L.; ZHANG, Z.; ZHAO, C.; ZHAO, J.; ZHAO, Z.; ZHU, Y.; ASSENG, S. |
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Afiliación : |
JOSE RAFAEL GUARIN, Agricultural & Biological Engineering Dpt., Univ. of Florida, FL, USA; Center for Climate Systems Research, Columbia Univ., NY, USA; NASA Goddard Institute for Space Studies, NY, USA.; PIERRE MARTRE, LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier SupAgro, Montpellier, France; FRANK EWERT, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; HEIDI WEBBER, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; SIBYLLE DUERI, LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier SupAgro, Montpellier, France; DANIEL CALDERINI, Institute of Plant Production and Protection, Austral University of Chile, Valdivia, Chile; MATTHEW REYNOLDS, International Maize and Wheat Improvement Center (CIMMYT), Mexico DF, Mexico; GEMMA MOLERO, KWS, Lille, France; DANIEL MIRALLES, Department of Plant Production, University of Buenos Aires, IFEVA-CONICET, Buenos Aires, Argentina; GUILLERMO GARCIA, Department of Plant Production, University of Buenos Aires, IFEVA-CONICET, Buenos Aires, Argentina; GUSTAVO SLAFER, Department of Crop and Forest Sciences, University of Lleida—AGROTECNIO-CERCA Center, Lleida, Spain; and ICREA, Catalonian Institution for Research and Advanced Studies, Barcelona, Spain; FRANCESCO GIUNTA, Department of Agricultural Sciences, University of Sassari, Sassari, Ital; DIEGO N L PEQUENO, International Maize and Wheat Improvement Center (CIMMYT), Mexico DF, Mexico; TOMMASO STELLA, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; MUKHTAR AHMED, Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan; Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, Umeå, Sweden; PHILLIP D ALDERMAN, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States of America; BRUNO BASSO, Department of Earth and Environmental Sciences, Michigan State University, East Lansing, MI, United States of America; W.K. Kellogg Biological Station, Michigan State University, East Lansing, MI, United States of America; ANDRES GUSTAVO BERGER RICCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCO BINDI, Department of AGRIculture, food, environment and forestry (DAGRI), Department of Agri-food Production and Environmental Sciences (DISPAA), University of Florence, Florence, Italy; GENNADY BRACHO-MUJICA, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany; DAVIDE CAMMARANO, Department of Agronomy, Purdue University, West Lafayette, IN, United States of America; YI CHEN, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, People’s Republic of China; BENJAMIN DUMONT, Department Terra & AgroBioChem, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium; EHSAN EYSHI REZAEI, Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; ELIAS FERERES, IAS-CSIC DAUCO, University of Cordoba, Cordoba, Spain; ROBERTO FERRISE, Department of AGRIculture, food, environment and forestry (DAGRI), Department of Agri-food Production and Environmental Sciences (DISPAA), University of Florence, Florence, Italy; THOMAS GAISER, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; YUJING GAO, Agricultural & Biological Engineering Department, University of Florida, Gainesville, FL, United States of America; MARGARITA GARCIA-VILA, IAS-CSIC DAUCO, University of Cordoba, Cordoba, Spain; SEBASTIAN GAYLER, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany; ZVI HOCHMAN, CSIRO Agriculture and Food, Brisbane, Queensland, Australia; GERRIT HOOGENBOOM, Agricultural & Biological Engineering Department, University of Florida, Gainesville, FL, United States of America; Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, United States of America; LESLIE A HUNT, Department of Plant Agriculture, University of Guelph, Guelph, Ontario, Canada; KURT C KERSEBAUM, Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), Univ. of Göttingen, Göttingen, Germany; Global Change Research Institute Academy of Sciences of the Czech Rep; CLAAS NENDEL, Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), Univ. of Göttingen, Göttingen, Germany; Global Change Research Institute Academy of Sciences of the Czech Repu; JØRGEN E OLESEN, Department of Agroecology, Aarhus University, Tjele, Denmark; TARU PALOSUO, Natural Resources Institute Finland (Luke), Helsinki, Finland; ECKART PRIESACK, Institute of Biochemical Plant Pathology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; JOHANNES W M PULLENS, Department of Agroecology, Aarhus University, Tjele, Denmark; ALFREDO RODRÍGUEZ, CEIGRAM, Technic University of Madrid, Madrid, Spain; Department of Economic Analysis and Finances, University of Castilla-La Mancha, Toledo, Spain; REIMUND P RÖTTER, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany; Centre of Biodiversity and Sustainable Land Use (CBL), University of Göttingen, Göttingen, Germany; MARGARITA RUIZ RAMOS, CEIGRAM, Technic University of Madrid, Madrid, Spain; MIKHAIL A SEMENOV, Rothamsted Research, Harpenden AL5 2JQ, United Kingdom; NIMAI SENAPATI, Rothamsted Research, Harpenden AL5 2JQ, United Kingdom; STEFAN SIEBERT, Department of Crop Sciences, University of Göttingen, Göttingen, Germany; AMIT KUMAR SRIVASTAVA, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; CLAUDIO STÖCKLE, Biological Systems Engineering, Washington State University, Pullman, WA, United States of America; IWAN SUPIT, Water & Food and Water Systems & Global Change Group, Wageningen University, Wageningen, The Netherlands; FULU TAO, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, People’s Republic of China; Natural Resources Institute Finland (Luke), Helsinki, Finland; PETER THORBURN, CSIRO Agriculture and Food, Brisbane, Queensland, Australia; ENLI WANG, CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia; TOBIAS KARL DAVID WEBER, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany; Current affiliation: Department of Soil Science, Faculty of Organic Soil Sciences, University of Kassel, Kassel, Germany; LIUJUN XIAO, College of Environmental and Resource Sciences, Zhejiang Univ., Hangzhou, Zhejiang, China; National Engineering and Technology Center for Information Agriculture, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiang; ZHAO ZHANG, State Key Laboratory for Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, People’s Republic of China; CHUANG ZHAO, College of Resources and Environmental Sciences, China Agricultural University, Beijing, People’s Republic of China; JIN ZHAO, College of Resources and Environmental Sciences, China Agricultural University, Beijing, People’s Republic of China; Department of Agroecology, Aarhus University, Tjele, Denmark; ZHIGAN ZHAO, CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia; Department of Agronomy and Biotechnology, China Agricultural University, Beijing, People’s Republic of China; YAN ZHU, National Engineering and Technology Center for Information Agriculture, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for M; SENTHOLD ASSENG, 8 Department of Life Science Engineering, Digital Agriculture, Technical University of Munich, Freising, Germany. |
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Título : |
Evidence for increasing global wheat yield potential. [Letter]. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Environmental Research Letters, 12 December 2022, Volume 17, 124045. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/aca77c |
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ISSN : |
1748-9326 |
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DOI : |
10.1088/1748-9326/aca77c |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 13 June 2022; Accepted 30 November 2022; Published 12 December 2022. -- Corresponding author: Jose Rafael Guarin, E-mail: j.guarin@columbia.edu -- LICENSE: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/ ) -- Supplementary material for this article is available online (http://doi.org/10.1088/1748-9326/aca77c ) -- |
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Contenido : |
Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a multi-model ensemble of process-based wheat crop models to estimate global wheat production. The DH field experiments were also used to determine a quantitative relationship between wheat production and solar radiation to estimate genetic yield potential. The multi-model ensemble projected a global annual wheat production of 1050 ± 145 Mt due to the improved canopy photosynthesis, a 37% increase, without expanding cropping area. Achieving this genetic yield potential would meet the lower estimate of the projected grain demand in 2050, albeit with considerable challenges.
© 2022 The Author(s). Published by IOP Publishing Ltd |
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Palabras claves : |
Crop model ensemble; Global food security; Radiation use efficiency; Wheat potential yield; Yield increase. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://iopscience.iop.org/article/10.1088/1748-9326/aca77c/pdf
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Marc : |
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500 $aArticle history: Received 13 June 2022; Accepted 30 November 2022; Published 12 December 2022. -- Corresponding author: Jose Rafael Guarin, E-mail: j.guarin@columbia.edu -- LICENSE: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/ ) -- Supplementary material for this article is available online (http://doi.org/10.1088/1748-9326/aca77c ) --
520 $aWheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a multi-model ensemble of process-based wheat crop models to estimate global wheat production. The DH field experiments were also used to determine a quantitative relationship between wheat production and solar radiation to estimate genetic yield potential. The multi-model ensemble projected a global annual wheat production of 1050 ± 145 Mt due to the improved canopy photosynthesis, a 37% increase, without expanding cropping area. Achieving this genetic yield potential would meet the lower estimate of the projected grain demand in 2050, albeit with considerable challenges. © 2022 The Author(s). Published by IOP Publishing Ltd
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700 1 $aZHAO, Z.
700 1 $aZHU, Y.
700 1 $aASSENG, S.
773 $tEnvironmental Research Letters, 12 December 2022, Volume 17, 124045. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/aca77c
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