Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments
Sugarcane is a major tropical C4 crop of global economic significance, primarily used for sugar, ethanol, and bioenergy production. As climate change accelerates, with projected increases in global temperatures, understanding the temperature sensitivity of sugarcane's radiation use efficiency (RUE)...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Elsevier
2025
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/24200 https://www.sciencedirect.com/science/article/pii/S0168192325004733 https://doi.org/10.1016/j.agrformet.2025.110854 |
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| author | Christina, Mathias Clark, David Marin, Fabio Ricardo Ribeiro, Rafael Vasconcelos Saez, Julio Victor Chibarabada, Tendai Polite Vianna, Murilo dos Santos Jones, Matthew R. Cuadra, Santiago Vianna Cabral, Osvaldo Machado Rodrigues Acreche, Martin Moises Dias, Henrique Boriolo |
| author_browse | Acreche, Martin Moises Cabral, Osvaldo Machado Rodrigues Chibarabada, Tendai Polite Christina, Mathias Clark, David Cuadra, Santiago Vianna Dias, Henrique Boriolo Jones, Matthew R. Marin, Fabio Ricardo Ribeiro, Rafael Vasconcelos Saez, Julio Victor Vianna, Murilo dos Santos |
| author_facet | Christina, Mathias Clark, David Marin, Fabio Ricardo Ribeiro, Rafael Vasconcelos Saez, Julio Victor Chibarabada, Tendai Polite Vianna, Murilo dos Santos Jones, Matthew R. Cuadra, Santiago Vianna Cabral, Osvaldo Machado Rodrigues Acreche, Martin Moises Dias, Henrique Boriolo |
| author_sort | Christina, Mathias |
| collection | INTA Digital |
| description | Sugarcane is a major tropical C4 crop of global economic significance, primarily used for sugar, ethanol, and bioenergy production. As climate change accelerates, with projected increases in global temperatures, understanding the temperature sensitivity of sugarcane's radiation use efficiency (RUE) is crucial for projecting yield under changing environmental conditions. In this context, this study aimed to characterize sugarcane RUE response to temperature across various environments and varieties from key producing regions worldwide. Using experimental data from six countries (Brazil, South Africa, United States of America, Zimbabwe, Argentina, and La Réunion) and 40 distinct varieties, our results indicated that maximum RUE (RUEMAX) is consistent across varieties, while apparent RUE (RUEA) showed significant variation. Based on this diverse dataset, we parameterized different RUEMAX temperature response formalisms used in crop models (APSIM-Sugar, DSSAT-Canegro, MOSICAS, and emergent formalisms). We compared their ability to simulate RUEA in various regions accurately. Our analysis revealed significant differences in formalism performance, emphasizing the need for accurate parameterization. Additionally, we demonstrated that predictions of biomass production under climate change scenarios are highly sensitive to the formalism parameterization used to represent the RUE-temperature relationship. These findings highlight the critical importance of refining crop models considering temperature response and cardinal temperatures (optimal range: 30–33°C) to enhance projections of sugarcane yield under future climate conditions. We discussed physiological processes that may explain differences in RUEA among varieties. Incorporating these refined mechanisms into models will support more accurate climate impact assessments and aid breeding programs focused on developing high-yield sugarcane varieties. |
| format | Artículo |
| id | INTA24200 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA242002025-10-17T12:57:59Z Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments Christina, Mathias Clark, David Marin, Fabio Ricardo Ribeiro, Rafael Vasconcelos Saez, Julio Victor Chibarabada, Tendai Polite Vianna, Murilo dos Santos Jones, Matthew R. Cuadra, Santiago Vianna Cabral, Osvaldo Machado Rodrigues Acreche, Martin Moises Dias, Henrique Boriolo Caña de Azúcar Eficiencia en el Uso de los Recursos Radiación Cambio Climático Variedades Temperatura Modelización de los Cultivos Sugar Cane Resource Use Efficiency Radiation Climate Change Varieties Temperature Crop Modelling Sugarcane is a major tropical C4 crop of global economic significance, primarily used for sugar, ethanol, and bioenergy production. As climate change accelerates, with projected increases in global temperatures, understanding the temperature sensitivity of sugarcane's radiation use efficiency (RUE) is crucial for projecting yield under changing environmental conditions. In this context, this study aimed to characterize sugarcane RUE response to temperature across various environments and varieties from key producing regions worldwide. Using experimental data from six countries (Brazil, South Africa, United States of America, Zimbabwe, Argentina, and La Réunion) and 40 distinct varieties, our results indicated that maximum RUE (RUEMAX) is consistent across varieties, while apparent RUE (RUEA) showed significant variation. Based on this diverse dataset, we parameterized different RUEMAX temperature response formalisms used in crop models (APSIM-Sugar, DSSAT-Canegro, MOSICAS, and emergent formalisms). We compared their ability to simulate RUEA in various regions accurately. Our analysis revealed significant differences in formalism performance, emphasizing the need for accurate parameterization. Additionally, we demonstrated that predictions of biomass production under climate change scenarios are highly sensitive to the formalism parameterization used to represent the RUE-temperature relationship. These findings highlight the critical importance of refining crop models considering temperature response and cardinal temperatures (optimal range: 30–33°C) to enhance projections of sugarcane yield under future climate conditions. We discussed physiological processes that may explain differences in RUEA among varieties. Incorporating these refined mechanisms into models will support more accurate climate impact assessments and aid breeding programs focused on developing high-yield sugarcane varieties. EEA Famaillá Fil: Christina, Mathias. CIRAD, UPR AIDA; Francia Fil: Christina, Mathias. AIDA, Univ Montpellier, CIRAD; Francia Fil: Clark, David. SASRI; Sudáfrica Fil: Clark, David. University of KwaZulu-Natal. School of Agricultural, Earth and Environmental Sciences; Sudáfrica Fil: Marin, Fabio Ricardo. University of São Paulo “Luiz de Queiroz”. College of Agriculture; Brasil Fil: Ribeiro, Rafael Vasconcelos. State University of Campinas. Department of Plant Biology. Laboratory of Crop Physiology; Brasil Fil: Saez, Julio Victor. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Famaillá; Argentina Fil: Chibarabada, Tendai Polite. Zimbabwe Sugar Association Experiment Station. Agronomy Department; Zimbabue Fil: Vianna, Murilo dos Santos. Forschungszentrum Jülich GmbH. Institute of Bio- and Geosciences (IBG-3); Alemania Fil: Jones, Matthew R. Wageningen University and Research. Centre for Crop Systems Analysis; Países Bajos Fil: Cuadra, Santiago Vianna. Empresa Brasileira de Pesquisa Agropecuária. Agricultura Digital; Brasil Fil: Cabral, Osvaldo Machado Rodrigues. Empresa Brasileira de Pesquisa Agropecuária. Meio Ambiente; Brasil Fil: Acreche, Martin Moises. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina. Fil: Dias, Henrique Boriolo. University of Florida. Department of Agricultural and Biological Engineering; Estados Unidos 2025-10-17T12:52:57Z 2025-10-17T12:52:57Z 2025-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/24200 https://www.sciencedirect.com/science/article/pii/S0168192325004733 0168-1923 1873-2240 https://doi.org/10.1016/j.agrformet.2025.110854 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Elsevier Agricultural and Forest Meteorology 375 : 110854. (December 2025) |
| spellingShingle | Caña de Azúcar Eficiencia en el Uso de los Recursos Radiación Cambio Climático Variedades Temperatura Modelización de los Cultivos Sugar Cane Resource Use Efficiency Radiation Climate Change Varieties Temperature Crop Modelling Christina, Mathias Clark, David Marin, Fabio Ricardo Ribeiro, Rafael Vasconcelos Saez, Julio Victor Chibarabada, Tendai Polite Vianna, Murilo dos Santos Jones, Matthew R. Cuadra, Santiago Vianna Cabral, Osvaldo Machado Rodrigues Acreche, Martin Moises Dias, Henrique Boriolo Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments |
| title | Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments |
| title_full | Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments |
| title_fullStr | Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments |
| title_full_unstemmed | Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments |
| title_short | Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments |
| title_sort | sugarcane radiation use efficiency varietal differences temperature dependence and implications for modeling biomass across environments |
| topic | Caña de Azúcar Eficiencia en el Uso de los Recursos Radiación Cambio Climático Variedades Temperatura Modelización de los Cultivos Sugar Cane Resource Use Efficiency Radiation Climate Change Varieties Temperature Crop Modelling |
| url | http://hdl.handle.net/20.500.12123/24200 https://www.sciencedirect.com/science/article/pii/S0168192325004733 https://doi.org/10.1016/j.agrformet.2025.110854 |
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