Mostrar el registro sencillo del ítem

resumen

Resumen
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 [ver mas...]
dc.contributor.authorChristina, Mathias
dc.contributor.authorClark, David
dc.contributor.authorMarin, Fabio Ricardo
dc.contributor.authorRibeiro, Rafael Vasconcelos
dc.contributor.authorSaez, Julio Victor
dc.contributor.authorChibarabada, Tendai Polite
dc.contributor.authorVianna, Murilo dos Santos
dc.contributor.authorJones, Matthew R.
dc.contributor.authorCuadra, Santiago Vianna
dc.contributor.authorCabral, Osvaldo Machado Rodrigues
dc.contributor.authorAcreche, Martin Moises
dc.contributor.authorDias, Henrique Boriolo
dc.date.accessioned2025-10-17T12:52:57Z
dc.date.available2025-10-17T12:52:57Z
dc.date.issued2025-12
dc.identifier.issn0168-1923
dc.identifier.issn1873-2240
dc.identifier.otherhttps://doi.org/10.1016/j.agrformet.2025.110854
dc.identifier.urihttp://hdl.handle.net/20.500.12123/24200
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0168192325004733
dc.description.abstractSugarcane 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceAgricultural and Forest Meteorology 375 : 110854. (December 2025)es_AR
dc.subjectCaña de Azúcares_AR
dc.subjectSugar Caneeng
dc.subjectEficiencia en el Uso de los Recursoses_AR
dc.subjectResource Use Efficiencyeng
dc.subjectRadiaciónes_AR
dc.subjectRadiationeng
dc.subjectCambio Climáticoes_AR
dc.subjectClimate Changeeng
dc.subjectVariedadeses_AR
dc.subjectVarietieseng
dc.subjectTemperaturaes_AR
dc.subjectTemperatureeng
dc.subjectModelización de los Cultivoses_AR
dc.subjectCrop Modellingeng
dc.titleSugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environmentses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Famailláes_AR
dc.description.filFil: Christina, Mathias. CIRAD, UPR AIDA; Franciaes_AR
dc.description.filFil: Christina, Mathias. AIDA, Univ Montpellier, CIRAD; Franciaes_AR
dc.description.filFil: Clark, David. SASRI; Sudáfricaes_AR
dc.description.filFil: Clark, David. University of KwaZulu-Natal. School of Agricultural, Earth and Environmental Sciences; Sudáfricaes_AR
dc.description.filFil: Marin, Fabio Ricardo. University of São Paulo “Luiz de Queiroz”. College of Agriculture; Brasiles_AR
dc.description.filFil: Ribeiro, Rafael Vasconcelos. State University of Campinas. Department of Plant Biology. Laboratory of Crop Physiology; Brasiles_AR
dc.description.filFil: Saez, Julio Victor. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Famaillá; Argentinaes_AR
dc.description.filFil: Chibarabada, Tendai Polite. Zimbabwe Sugar Association Experiment Station. Agronomy Department; Zimbabuees_AR
dc.description.filFil: Vianna, Murilo dos Santos. Forschungszentrum Jülich GmbH. Institute of Bio- and Geosciences (IBG-3); Alemaniaes_AR
dc.description.filFil: Jones, Matthew R. Wageningen University and Research. Centre for Crop Systems Analysis; Países Bajoses_AR
dc.description.filFil: Cuadra, Santiago Vianna. Empresa Brasileira de Pesquisa Agropecuária. Agricultura Digital; Brasiles_AR
dc.description.filFil: Cabral, Osvaldo Machado Rodrigues. Empresa Brasileira de Pesquisa Agropecuária. Meio Ambiente; Brasiles_AR
dc.description.filFil: Acreche, Martin Moises. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina.es_AR
dc.description.filFil: Dias, Henrique Boriolo. University of Florida. Department of Agricultural and Biological Engineering; Estados Unidoses_AR
dc.subtypecientifico


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

common

Mostrar el registro sencillo del ítem

info:eu-repo/semantics/openAccess
Excepto si se señala otra cosa, la licencia del ítem se describe como info:eu-repo/semantics/openAccess