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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
31/05/2022 |
Actualizado : |
31/05/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
OLIVERA, L.; TELLECHEA, G.; LA MANNA, A.; BANCHERO, G.; FERNANDEZ, E.; RODRÍGUEZ, E.N. |
Afiliación : |
Proyecto INIA-DGSSA-ANII-EDL.; Proyecto INIA-DGSSA-ANII-EDL.; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DGSSAA, Uruguay. |
Título : |
Diagnóstico y cuantificación de la problemática causada por la concentración de aves en un tambo estabulado de Uruguay.[Diagnosis and quantification of problems caused by bird concentration: case study in a confined dairy].
farm in Uruguay |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Revista Argentina de Producción Animal, vol 40, issue 2, pages 85-97, 2020. |
Idioma : |
Español |
Notas : |
Article history: Recibido: diciembre 2019/ Aceptado: diciembre 2020. |
Contenido : |
RESUMEN:
Los tambos industriales suelen tener conflictos con palomas que consumen el alimento del ganado, alterando la composición
de la dieta y contaminando la ración. Durante 2017-2018, en un tambo industrial de Durazno (Uruguay), con una población
de 10.000 animales estabulados, se identificaron las especies de aves involucradas y se evaluaron daños. Las pérdidas de
alimento se midieron en kilogramos de Ración Totalmente Mezclada (TMR) en tres corrales, y de suplementos y granos para
preparar la TMR en celdas de almacenamiento. Para evaluar las pérdidas se utilizaron comederos experimentales con acceso
para las aves y comederos testigos cubiertos. En los corrales, se registraron pérdidas de hasta 0,34±0,05 kg por comedero
experimental, sin diferencias significativas entre corrales. En base a estos valores y el área total de corrales, se estimó una
pérdida por consumo de aves de 2,7 toneladas de ración diarias. Asimismo, se registró una disminución de calidad de las
dietas por consumo preferencial de partículas de 2 a 3 mm de tamaño, resultando en un aumento relativo de la fibra. En las
celdas, también se midieron pérdidas de alimentos, siendo mayor la de afrechillo de trigo (1,06±1,02 kg por comedero
experimental). Se estimó que las pérdidas serían 4,1 toneladas diarias para todas las celdas. Ambas pérdidas representarían
U$S 35,066 mensuales. Mientras los corrales no registraron contaminación de plumas y fecas, la mayoría de las celdas
estaban contaminadas. Mediante censos de punto y fotografías se estimó una abundancia de 176.400 y 186.240 aves que
visitan los corrales y las celdas respectivamente por día en la totalidad del tambo. Las especies identificadas fueron: Zenaida
auriculata (86,5% de la población total), Patagioenas maculosa (8,8%), Patagioenas picazuro (0,1%), Columba livia (3,9%) y
Myiopsitta monachus (0,8%). Estas especies son de hábitos granívoros, comunes y sin problemas de conservación. Las
pérdidas cuantitativas, cualitativas y la contaminación encontradas serían extrapolables a establecimientos similares en la
región que suministren ración TMR y justifican la implementación de medidas de manejo costo-eficientes y el continuar
evaluando alternativas para el control de pérdidas.
SUMMARY:
An industrial dairy farms often have conflicts with doves consuming livestock food, altering their diet composition and contaminating cattle food. During 2017-18, in an industrial dairy farm located in Durazno (Uruguay) with 10.000 free stall confined animals, bird species involved were identified and productive damage were evaluated. Feed losses were measured in Total Mixed Ration (TMR) in three feeding barns and food storage cells containing bird preferred items used to prepare cattle feed. To evaluate feed losses, experimental feeders with bird access and covered controls feeders was used. In the feeding barn losses of 0.34±0.05 kg were registered for each experimental feeder unit, with no significant differences between barns. With these values, it was estimated a loss of 2.7 tons of food per day for all barns. It was also found a decrease in the feed quality due to a preferred consumption of 2 to 3 mm feed particles and an increment of relative fiber content. In the storage cells, food losses were also measured, with the highest value for wheat bran (1.06±1.02 kg per
experimental feeder). For storage cells, total bird consumption was estimated to be 4.1 tons per day. Total losses would represent U$S 35,066 per month. While there was no significant contamination with feathers and feces in the feeding barns, most of the storage cells were contaminated. The bird community assessed using point and picture censuses, estimated an abundance of 176,400 and 186.240 birds visiting barns and storage cells respectively per day in the entire dairy farm. The birds recorded were Zenaida auriculata (86,5% of the total), Patagioenas maculosa (8,8%), Patagioenas picazuro (0,1%), Columba livia (3,9%) and Myiopsitta monachus (0,8%). These species are granivorous habits, common and no conservation issues. Quantitative and qualitative losses and contamination found can be extrapolated to similar livestock confined farms in the region supplying TMR ration and justify the implementation of cost-efficient management measures and continuing the evaluation of other alternatives for loss control. MenosRESUMEN:
Los tambos industriales suelen tener conflictos con palomas que consumen el alimento del ganado, alterando la composición
de la dieta y contaminando la ración. Durante 2017-2018, en un tambo industrial de Durazno (Uruguay), con una población
de 10.000 animales estabulados, se identificaron las especies de aves involucradas y se evaluaron daños. Las pérdidas de
alimento se midieron en kilogramos de Ración Totalmente Mezclada (TMR) en tres corrales, y de suplementos y granos para
preparar la TMR en celdas de almacenamiento. Para evaluar las pérdidas se utilizaron comederos experimentales con acceso
para las aves y comederos testigos cubiertos. En los corrales, se registraron pérdidas de hasta 0,34±0,05 kg por comedero
experimental, sin diferencias significativas entre corrales. En base a estos valores y el área total de corrales, se estimó una
pérdida por consumo de aves de 2,7 toneladas de ración diarias. Asimismo, se registró una disminución de calidad de las
dietas por consumo preferencial de partículas de 2 a 3 mm de tamaño, resultando en un aumento relativo de la fibra. En las
celdas, también se midieron pérdidas de alimentos, siendo mayor la de afrechillo de trigo (1,06±1,02 kg por comedero
experimental). Se estimó que las pérdidas serían 4,1 toneladas diarias para todas las celdas. Ambas pérdidas representarían
U$S 35,066 mensuales. Mientras los corrales no registraron contaminación de plumas y fecas, la mayoría de las celdas
estaban contaminadas. Me... Presentar Todo |
Palabras claves : |
DOVES; LOSSES CAUSED BY BIRDS; PÉRDIDAS OCASIONADAS POR AVES; ZENAIDA AURICULATA. |
Thesagro : |
PALOMA. |
Asunto categoría : |
-- |
Marc : |
LEADER 05386naa a2200253 a 4500 001 1063186 005 2022-05-31 008 2020 bl uuuu u00u1 u #d 100 1 $aOLIVERA, L. 245 $aDiagnóstico y cuantificación de la problemática causada por la concentración de aves en un tambo estabulado de Uruguay.[Diagnosis and quantification of problems caused by bird concentration$bcase study in a confined dairy]. farm in Uruguay$h[electronic resource] 260 $c2020 500 $aArticle history: Recibido: diciembre 2019/ Aceptado: diciembre 2020. 520 $aRESUMEN: Los tambos industriales suelen tener conflictos con palomas que consumen el alimento del ganado, alterando la composición de la dieta y contaminando la ración. Durante 2017-2018, en un tambo industrial de Durazno (Uruguay), con una población de 10.000 animales estabulados, se identificaron las especies de aves involucradas y se evaluaron daños. Las pérdidas de alimento se midieron en kilogramos de Ración Totalmente Mezclada (TMR) en tres corrales, y de suplementos y granos para preparar la TMR en celdas de almacenamiento. Para evaluar las pérdidas se utilizaron comederos experimentales con acceso para las aves y comederos testigos cubiertos. En los corrales, se registraron pérdidas de hasta 0,34±0,05 kg por comedero experimental, sin diferencias significativas entre corrales. En base a estos valores y el área total de corrales, se estimó una pérdida por consumo de aves de 2,7 toneladas de ración diarias. Asimismo, se registró una disminución de calidad de las dietas por consumo preferencial de partículas de 2 a 3 mm de tamaño, resultando en un aumento relativo de la fibra. En las celdas, también se midieron pérdidas de alimentos, siendo mayor la de afrechillo de trigo (1,06±1,02 kg por comedero experimental). Se estimó que las pérdidas serían 4,1 toneladas diarias para todas las celdas. Ambas pérdidas representarían U$S 35,066 mensuales. Mientras los corrales no registraron contaminación de plumas y fecas, la mayoría de las celdas estaban contaminadas. Mediante censos de punto y fotografías se estimó una abundancia de 176.400 y 186.240 aves que visitan los corrales y las celdas respectivamente por día en la totalidad del tambo. Las especies identificadas fueron: Zenaida auriculata (86,5% de la población total), Patagioenas maculosa (8,8%), Patagioenas picazuro (0,1%), Columba livia (3,9%) y Myiopsitta monachus (0,8%). Estas especies son de hábitos granívoros, comunes y sin problemas de conservación. Las pérdidas cuantitativas, cualitativas y la contaminación encontradas serían extrapolables a establecimientos similares en la región que suministren ración TMR y justifican la implementación de medidas de manejo costo-eficientes y el continuar evaluando alternativas para el control de pérdidas. SUMMARY: An industrial dairy farms often have conflicts with doves consuming livestock food, altering their diet composition and contaminating cattle food. During 2017-18, in an industrial dairy farm located in Durazno (Uruguay) with 10.000 free stall confined animals, bird species involved were identified and productive damage were evaluated. Feed losses were measured in Total Mixed Ration (TMR) in three feeding barns and food storage cells containing bird preferred items used to prepare cattle feed. To evaluate feed losses, experimental feeders with bird access and covered controls feeders was used. In the feeding barn losses of 0.34±0.05 kg were registered for each experimental feeder unit, with no significant differences between barns. With these values, it was estimated a loss of 2.7 tons of food per day for all barns. It was also found a decrease in the feed quality due to a preferred consumption of 2 to 3 mm feed particles and an increment of relative fiber content. In the storage cells, food losses were also measured, with the highest value for wheat bran (1.06±1.02 kg per experimental feeder). For storage cells, total bird consumption was estimated to be 4.1 tons per day. Total losses would represent U$S 35,066 per month. While there was no significant contamination with feathers and feces in the feeding barns, most of the storage cells were contaminated. The bird community assessed using point and picture censuses, estimated an abundance of 176,400 and 186.240 birds visiting barns and storage cells respectively per day in the entire dairy farm. The birds recorded were Zenaida auriculata (86,5% of the total), Patagioenas maculosa (8,8%), Patagioenas picazuro (0,1%), Columba livia (3,9%) and Myiopsitta monachus (0,8%). These species are granivorous habits, common and no conservation issues. Quantitative and qualitative losses and contamination found can be extrapolated to similar livestock confined farms in the region supplying TMR ration and justify the implementation of cost-efficient management measures and continuing the evaluation of other alternatives for loss control. 650 $aPALOMA 653 $aDOVES 653 $aLOSSES CAUSED BY BIRDS 653 $aPÉRDIDAS OCASIONADAS POR AVES 653 $aZENAIDA AURICULATA 700 1 $aTELLECHEA, G. 700 1 $aLA MANNA, A. 700 1 $aBANCHERO, G. 700 1 $aFERNANDEZ, E. 700 1 $aRODRÍGUEZ, E.N. 773 $tRevista Argentina de Producción Animal, vol 40, issue 2, pages 85-97, 2020.
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
10/01/2023 |
Actualizado : |
10/01/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
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. |
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. |
Título : |
Evidence for increasing global wheat yield potential. [Letter]. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Environmental Research Letters, 12 December 2022, Volume 17, 124045. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/aca77c |
ISSN : |
1748-9326 |
DOI : |
10.1088/1748-9326/aca77c |
Idioma : |
Inglés |
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 ) -- |
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 |
Palabras claves : |
Crop model ensemble; Global food security; Radiation use efficiency; Wheat potential yield; Yield increase. |
Asunto categoría : |
F01 Cultivo |
URL : |
https://iopscience.iop.org/article/10.1088/1748-9326/aca77c/pdf
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Marc : |
LEADER 03876naa a2200913 a 4500 001 1063941 005 2023-01-10 008 2022 bl uuuu u00u1 u #d 022 $a1748-9326 024 7 $a10.1088/1748-9326/aca77c$2DOI 100 1 $aGUARIN, J. R. 245 $aEvidence for increasing global wheat yield potential. [Letter].$h[electronic resource] 260 $c2022 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 653 $aCrop model ensemble 653 $aGlobal food security 653 $aRadiation use efficiency 653 $aWheat potential yield 653 $aYield increase 700 1 $aMARTRE, P 700 1 $aEWERT, F. 700 1 $aWEBBER, H. 700 1 $aDUERI, S. 700 1 $aCALDERINI, D. 700 1 $aREYNOLDS, M. 700 1 $aMOLERO, G. 700 1 $aMIRALLES, D. 700 1 $aGARCIA, G. 700 1 $aSLAFER, G. 700 1 $aGIUNTA, F. 700 1 $aPEQUENO, D. N. L. 700 1 $aSTELLA, T. 700 1 $aAHMED, M. 700 1 $aALDERMAN, P. D. 700 1 $aBASSO, B. 700 1 $aBERGER, A. 700 1 $aBINDI, M. 700 1 $aBRACHO-MUJICA, G. 700 1 $aCAMMARANO, D. 700 1 $aCHEN, Y. 700 1 $aDUMONT, B. 700 1 $aREZAEI, E. E. 700 1 $aFERERES, E. 700 1 $aFERRISE, R. 700 1 $aGAISER, T. 700 1 $aGAO, Y. 700 1 $aGARCIA-VILA, M. 700 1 $aGAYLER, S. 700 1 $aHOCHMAN, Z. 700 1 $aHOOGENBOOM, G. 700 1 $aHUNT, L. A. 700 1 $aKERSEBAUM, K. C. 700 1 $aNENDEL, C. 700 1 $aOLESEN, J. E. 700 1 $aPALOSUO, T. 700 1 $aPRIESACK, E. 700 1 $aPULLENS, J. W. M. 700 1 $aRODRÍGUEZ, A. 700 1 $aRÖTTER, R. P. 700 1 $aRUIZ RAMOS, M. 700 1 $aSEMENOV, M. A. 700 1 $aSENAPATI, N. 700 1 $aSIEBERT, S. 700 1 $aSRIVASTAVA, A. M. 700 1 $aSTÖCKLE, C. 700 1 $aSUPIT, I. 700 1 $aTAO, F. 700 1 $aTHORBURN, P. 700 1 $aWANG, E. 700 1 $aWEBER, T. K. D. 700 1 $aXIAO, L. 700 1 $aZHANG, Z. 700 1 $aZHAO, C. 700 1 $aZHAO, J. 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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