Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization

Autores
Jardón, Mariana; Alvarez Prado, Santiago; Vanzetti, Leonardo Sebastian; Gonzalez, Fernanda Gabriela; Pérez Gianmarco, Thomas; Gomez, Dionisio Tomas; Serrago, Román A.; Dubcovsky, Jorge; Miralles, Daniel Julio
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Heading time is a critical feature determining wheat performance. Over the years, average global temperatures have increased, leading to adjustments in agronomic practices such as sowing dates and cultivar election. Bread wheat development is regulated by the effect of vernalization (Vrn), photoperiod sensitivity (Ps), and earliness per-se (Eps). The aim of this study was (i) to quantify the physiology behind wheat development for a wide range of contrasting commercial genotypes, and (ii) to design a simple wheat phenology prediction model that considers vernalization and photoperiod effects. Seventeen wheat genotypes that vary in VERNALIZATION-1 (Vrn1), PHOTOPERIOD-1 (Ppd1), and EARLINESS PER-SE D1 (Eps-D1) alleles were classified into four groups: Winter Sensitive (WS), Winter Insensitive (WI), Spring Sensitive (SS), and Spring Insensitive (SI). Field trials with vernalization treatments were carried out in different sites, years, and sowing dates. Genotypes with Vrn1 triple winter alleles exhibited the highest vernalization requirements, while cycle duration in spring genotypes remained constant. Photoperiod sensitivity was higher for those genotypes molecularly classified as Ppd1 sensitive but a differential response was evident when control and vernalization treatments were compared: after 6-week vernalization, Ps in WI decreased significantly without significant differences for WS, SS, and SI. For winter genotypes, the optimum photoperiod (Po) was the longest for the 6-week vernalized groups, and within that level of vernalization WI showed the longest Po values. The variability in Ps and Po values could be explained by the interaction between photoperiod and vernalization over Vrn1 upregulation and their consequent effect on wheat cycle duration. A wheat phenological model using photoperiod and vernalization correction factors was calibrated to predict heading dates in the Argentine wheat region. The model accurately predicted heading date with an error of 8.1, 6.5, 6.2, and 7.0 days for WI, WS, SI, and SS, respectively. The development of a model that uses simple universal process-based parameters is crucial for farmers, advisors, and researchers as it increases the precision in wheat cycle arrangement, but in a relatively parsimonious fashion.
EEA Marcos Juárez
Fil: Jardón, Mariana. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Alvarez Prado, Santiago. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Vanzetti, Leonardo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: González, Fernanda G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Ecofisiología; Argentina
Fil: González, Fernanda G. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA); Argentina
Fil: González, Fernanda G. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pérez Gianmarco, Thomas. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA); Argentina
Fil: Gómez, Dionisio Tomás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Serrago, Román A. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Serrago, Román A. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dubcovsky, Jorge. University of California-Davis. Department of Plant Sciences; Estados Unidos
Fil: Dubcovsky, Jorge. Howard Hughes Medical Institute; Estados Unidos
Fil: Miralles, Daniel J. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Miralles, Daniel J. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fuente
Field Crops Research 292 : 108810 (March 2023)
Materia
Trigo
Espigueo
Vernalización
Fenología
Etapas de Desarrollo de la Planta
Wheat
Heading
Vernalization
Phenology
Plant Developmental Stages
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/14215
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oai_identifier_str oai:localhost:20.500.12123/14215
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spelling Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterizationJardón, MarianaAlvarez Prado, SantiagoVanzetti, Leonardo SebastianGonzalez, Fernanda GabrielaPérez Gianmarco, ThomasGomez, Dionisio TomasSerrago, Román A.Dubcovsky, JorgeMiralles, Daniel JulioTrigoEspigueoVernalizaciónFenologíaEtapas de Desarrollo de la PlantaWheatHeadingVernalizationPhenologyPlant Developmental StagesHeading time is a critical feature determining wheat performance. Over the years, average global temperatures have increased, leading to adjustments in agronomic practices such as sowing dates and cultivar election. Bread wheat development is regulated by the effect of vernalization (Vrn), photoperiod sensitivity (Ps), and earliness per-se (Eps). The aim of this study was (i) to quantify the physiology behind wheat development for a wide range of contrasting commercial genotypes, and (ii) to design a simple wheat phenology prediction model that considers vernalization and photoperiod effects. Seventeen wheat genotypes that vary in VERNALIZATION-1 (Vrn1), PHOTOPERIOD-1 (Ppd1), and EARLINESS PER-SE D1 (Eps-D1) alleles were classified into four groups: Winter Sensitive (WS), Winter Insensitive (WI), Spring Sensitive (SS), and Spring Insensitive (SI). Field trials with vernalization treatments were carried out in different sites, years, and sowing dates. Genotypes with Vrn1 triple winter alleles exhibited the highest vernalization requirements, while cycle duration in spring genotypes remained constant. Photoperiod sensitivity was higher for those genotypes molecularly classified as Ppd1 sensitive but a differential response was evident when control and vernalization treatments were compared: after 6-week vernalization, Ps in WI decreased significantly without significant differences for WS, SS, and SI. For winter genotypes, the optimum photoperiod (Po) was the longest for the 6-week vernalized groups, and within that level of vernalization WI showed the longest Po values. The variability in Ps and Po values could be explained by the interaction between photoperiod and vernalization over Vrn1 upregulation and their consequent effect on wheat cycle duration. A wheat phenological model using photoperiod and vernalization correction factors was calibrated to predict heading dates in the Argentine wheat region. The model accurately predicted heading date with an error of 8.1, 6.5, 6.2, and 7.0 days for WI, WS, SI, and SS, respectively. The development of a model that uses simple universal process-based parameters is crucial for farmers, advisors, and researchers as it increases the precision in wheat cycle arrangement, but in a relatively parsimonious fashion.EEA Marcos JuárezFil: Jardón, Mariana. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: Alvarez Prado, Santiago. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Vanzetti, Leonardo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: González, Fernanda G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Ecofisiología; ArgentinaFil: González, Fernanda G. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA); ArgentinaFil: González, Fernanda G. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pérez Gianmarco, Thomas. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA); ArgentinaFil: Gómez, Dionisio Tomás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Serrago, Román A. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: Serrago, Román A. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Dubcovsky, Jorge. University of California-Davis. Department of Plant Sciences; Estados UnidosFil: Dubcovsky, Jorge. Howard Hughes Medical Institute; Estados UnidosFil: Miralles, Daniel J. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: Miralles, Daniel J. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier2023-03-13T14:17:59Z2023-03-13T14:17:59Z2023-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/14215https://www.sciencedirect.com/science/article/abs/pii/S03784290230000350378-42901872-6852https://doi.org/10.1016/j.fcr.2023.108810Field Crops Research 292 : 108810 (March 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:49:45Zoai:localhost:20.500.12123/14215instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:49:46.069INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
title Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
spellingShingle Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
Jardón, Mariana
Trigo
Espigueo
Vernalización
Fenología
Etapas de Desarrollo de la Planta
Wheat
Heading
Vernalization
Phenology
Plant Developmental Stages
title_short Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
title_full Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
title_fullStr Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
title_full_unstemmed Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
title_sort Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization
dc.creator.none.fl_str_mv Jardón, Mariana
Alvarez Prado, Santiago
Vanzetti, Leonardo Sebastian
Gonzalez, Fernanda Gabriela
Pérez Gianmarco, Thomas
Gomez, Dionisio Tomas
Serrago, Román A.
Dubcovsky, Jorge
Miralles, Daniel Julio
author Jardón, Mariana
author_facet Jardón, Mariana
Alvarez Prado, Santiago
Vanzetti, Leonardo Sebastian
Gonzalez, Fernanda Gabriela
Pérez Gianmarco, Thomas
Gomez, Dionisio Tomas
Serrago, Román A.
Dubcovsky, Jorge
Miralles, Daniel Julio
author_role author
author2 Alvarez Prado, Santiago
Vanzetti, Leonardo Sebastian
Gonzalez, Fernanda Gabriela
Pérez Gianmarco, Thomas
Gomez, Dionisio Tomas
Serrago, Román A.
Dubcovsky, Jorge
Miralles, Daniel Julio
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Trigo
Espigueo
Vernalización
Fenología
Etapas de Desarrollo de la Planta
Wheat
Heading
Vernalization
Phenology
Plant Developmental Stages
topic Trigo
Espigueo
Vernalización
Fenología
Etapas de Desarrollo de la Planta
Wheat
Heading
Vernalization
Phenology
Plant Developmental Stages
dc.description.none.fl_txt_mv Heading time is a critical feature determining wheat performance. Over the years, average global temperatures have increased, leading to adjustments in agronomic practices such as sowing dates and cultivar election. Bread wheat development is regulated by the effect of vernalization (Vrn), photoperiod sensitivity (Ps), and earliness per-se (Eps). The aim of this study was (i) to quantify the physiology behind wheat development for a wide range of contrasting commercial genotypes, and (ii) to design a simple wheat phenology prediction model that considers vernalization and photoperiod effects. Seventeen wheat genotypes that vary in VERNALIZATION-1 (Vrn1), PHOTOPERIOD-1 (Ppd1), and EARLINESS PER-SE D1 (Eps-D1) alleles were classified into four groups: Winter Sensitive (WS), Winter Insensitive (WI), Spring Sensitive (SS), and Spring Insensitive (SI). Field trials with vernalization treatments were carried out in different sites, years, and sowing dates. Genotypes with Vrn1 triple winter alleles exhibited the highest vernalization requirements, while cycle duration in spring genotypes remained constant. Photoperiod sensitivity was higher for those genotypes molecularly classified as Ppd1 sensitive but a differential response was evident when control and vernalization treatments were compared: after 6-week vernalization, Ps in WI decreased significantly without significant differences for WS, SS, and SI. For winter genotypes, the optimum photoperiod (Po) was the longest for the 6-week vernalized groups, and within that level of vernalization WI showed the longest Po values. The variability in Ps and Po values could be explained by the interaction between photoperiod and vernalization over Vrn1 upregulation and their consequent effect on wheat cycle duration. A wheat phenological model using photoperiod and vernalization correction factors was calibrated to predict heading dates in the Argentine wheat region. The model accurately predicted heading date with an error of 8.1, 6.5, 6.2, and 7.0 days for WI, WS, SI, and SS, respectively. The development of a model that uses simple universal process-based parameters is crucial for farmers, advisors, and researchers as it increases the precision in wheat cycle arrangement, but in a relatively parsimonious fashion.
EEA Marcos Juárez
Fil: Jardón, Mariana. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Alvarez Prado, Santiago. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Vanzetti, Leonardo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: González, Fernanda G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Ecofisiología; Argentina
Fil: González, Fernanda G. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA); Argentina
Fil: González, Fernanda G. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pérez Gianmarco, Thomas. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA); Argentina
Fil: Gómez, Dionisio Tomás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Serrago, Román A. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Serrago, Román A. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dubcovsky, Jorge. University of California-Davis. Department of Plant Sciences; Estados Unidos
Fil: Dubcovsky, Jorge. Howard Hughes Medical Institute; Estados Unidos
Fil: Miralles, Daniel J. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Miralles, Daniel J. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Heading time is a critical feature determining wheat performance. Over the years, average global temperatures have increased, leading to adjustments in agronomic practices such as sowing dates and cultivar election. Bread wheat development is regulated by the effect of vernalization (Vrn), photoperiod sensitivity (Ps), and earliness per-se (Eps). The aim of this study was (i) to quantify the physiology behind wheat development for a wide range of contrasting commercial genotypes, and (ii) to design a simple wheat phenology prediction model that considers vernalization and photoperiod effects. Seventeen wheat genotypes that vary in VERNALIZATION-1 (Vrn1), PHOTOPERIOD-1 (Ppd1), and EARLINESS PER-SE D1 (Eps-D1) alleles were classified into four groups: Winter Sensitive (WS), Winter Insensitive (WI), Spring Sensitive (SS), and Spring Insensitive (SI). Field trials with vernalization treatments were carried out in different sites, years, and sowing dates. Genotypes with Vrn1 triple winter alleles exhibited the highest vernalization requirements, while cycle duration in spring genotypes remained constant. Photoperiod sensitivity was higher for those genotypes molecularly classified as Ppd1 sensitive but a differential response was evident when control and vernalization treatments were compared: after 6-week vernalization, Ps in WI decreased significantly without significant differences for WS, SS, and SI. For winter genotypes, the optimum photoperiod (Po) was the longest for the 6-week vernalized groups, and within that level of vernalization WI showed the longest Po values. The variability in Ps and Po values could be explained by the interaction between photoperiod and vernalization over Vrn1 upregulation and their consequent effect on wheat cycle duration. A wheat phenological model using photoperiod and vernalization correction factors was calibrated to predict heading dates in the Argentine wheat region. The model accurately predicted heading date with an error of 8.1, 6.5, 6.2, and 7.0 days for WI, WS, SI, and SS, respectively. The development of a model that uses simple universal process-based parameters is crucial for farmers, advisors, and researchers as it increases the precision in wheat cycle arrangement, but in a relatively parsimonious fashion.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-13T14:17:59Z
2023-03-13T14:17:59Z
2023-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/14215
https://www.sciencedirect.com/science/article/abs/pii/S0378429023000035
0378-4290
1872-6852
https://doi.org/10.1016/j.fcr.2023.108810
url http://hdl.handle.net/20.500.12123/14215
https://www.sciencedirect.com/science/article/abs/pii/S0378429023000035
https://doi.org/10.1016/j.fcr.2023.108810
identifier_str_mv 0378-4290
1872-6852
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Field Crops Research 292 : 108810 (March 2023)
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reponame_str INTA Digital (INTA)
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instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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