Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model

Autores
Céccoli, Gabriel; Granados Ortiz, Sergio Andrés; Buttarelli, Melina Soledad; Pisarello, María Laura; Muñoz, Fernando Felipe; Daurelio, Lucas Damian; Bouzo, Carlos Alberto; Panigo, Elisa; Perez, Adrián Alejandro
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Globally, around 800 million hectares are affected by salinity. This abiotic stress causes plant growth inhibition, disruptions in physiological processes in plant cells, and yield losses in many crops. Sunflower is the third-most oilseed crop globally produced, and it is considered moderately tolerant to salinity. There are few studies about the genotypic variability existing in sunflower for responses to salinity, especially the changes in yield and oil content and quality under salinity. The present work aimed to study the effects of salinity on achene yield in four sunflower genotypes and their components and on the oil content and quality and their relationships. Four sunflower hybrids (ACA885, TRITON MAX, SRM769 and SRM779) were grown at 130 mM NaCl irrigation solution under controlled environmental conditions. The achene yield, the yield components, and the content and oil quality were determined. Based on the four studied genotypes, salinity decreased achene yield by 75.1 %. SRM779CL had a lower achene yield reduction by salinity. Yield component that most explained this tolerance was the number of achenes per plant. SRM779CL was the hybrid with the highest oil percentage loss. Contrarily, salinity increased the oil content in ACA885. Salinity decreased the ratio between oleic (18:1) and linoleic acid (18:2) in all genotypes. Therefore, salt stress increased the percentage of unsaturations in the four genotypes examined in this work. Finally, considering the 12 parameters measured, principal components analysis could determine that SRM779CL showed the best performance under control conditions while ACA885 was the most tolerant under salinity.
Fil: Céccoli, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Granados Ortiz, Sergio Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina
Fil: Buttarelli, Melina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina
Fil: Pisarello, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
Fil: Muñoz, Fernando Felipe. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Daurelio, Lucas Damian. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Bouzo, Carlos Alberto. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina
Fil: Panigo, Elisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias. Cátedra de Morfología Vegetal; Argentina
Fil: Perez, Adrián Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina
Materia
ABIOTIC STRESS
MORPHOLOGICAL PARAMETERS
OIL CROPS
PLANT PHYSIOLOGY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/214928
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis modelCéccoli, GabrielGranados Ortiz, Sergio AndrésButtarelli, Melina SoledadPisarello, María LauraMuñoz, Fernando FelipeDaurelio, Lucas DamianBouzo, Carlos AlbertoPanigo, ElisaPerez, Adrián AlejandroABIOTIC STRESSMORPHOLOGICAL PARAMETERSOIL CROPSPLANT PHYSIOLOGYhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Globally, around 800 million hectares are affected by salinity. This abiotic stress causes plant growth inhibition, disruptions in physiological processes in plant cells, and yield losses in many crops. Sunflower is the third-most oilseed crop globally produced, and it is considered moderately tolerant to salinity. There are few studies about the genotypic variability existing in sunflower for responses to salinity, especially the changes in yield and oil content and quality under salinity. The present work aimed to study the effects of salinity on achene yield in four sunflower genotypes and their components and on the oil content and quality and their relationships. Four sunflower hybrids (ACA885, TRITON MAX, SRM769 and SRM779) were grown at 130 mM NaCl irrigation solution under controlled environmental conditions. The achene yield, the yield components, and the content and oil quality were determined. Based on the four studied genotypes, salinity decreased achene yield by 75.1 %. SRM779CL had a lower achene yield reduction by salinity. Yield component that most explained this tolerance was the number of achenes per plant. SRM779CL was the hybrid with the highest oil percentage loss. Contrarily, salinity increased the oil content in ACA885. Salinity decreased the ratio between oleic (18:1) and linoleic acid (18:2) in all genotypes. Therefore, salt stress increased the percentage of unsaturations in the four genotypes examined in this work. Finally, considering the 12 parameters measured, principal components analysis could determine that SRM779CL showed the best performance under control conditions while ACA885 was the most tolerant under salinity.Fil: Céccoli, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; ArgentinaFil: Granados Ortiz, Sergio Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; ArgentinaFil: Buttarelli, Melina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; ArgentinaFil: Pisarello, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; ArgentinaFil: Muñoz, Fernando Felipe. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; ArgentinaFil: Daurelio, Lucas Damian. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; ArgentinaFil: Bouzo, Carlos Alberto. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; ArgentinaFil: Panigo, Elisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias. Cátedra de Morfología Vegetal; ArgentinaFil: Perez, Adrián Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; ArgentinaElsevier2022-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/214928Céccoli, Gabriel; Granados Ortiz, Sergio Andrés; Buttarelli, Melina Soledad; Pisarello, María Laura; Muñoz, Fernando Felipe; et al.; Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model; Elsevier; Annals of Agricultural Sciences; 67; 2; 12-2022; 211-2190570-1783CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0570178322000306info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aoas.2022.12.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:36:46Zoai:ri.conicet.gov.ar:11336/214928instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 11:36:47.005CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
title Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
spellingShingle Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
Céccoli, Gabriel
ABIOTIC STRESS
MORPHOLOGICAL PARAMETERS
OIL CROPS
PLANT PHYSIOLOGY
title_short Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
title_full Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
title_fullStr Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
title_full_unstemmed Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
title_sort Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model
dc.creator.none.fl_str_mv Céccoli, Gabriel
Granados Ortiz, Sergio Andrés
Buttarelli, Melina Soledad
Pisarello, María Laura
Muñoz, Fernando Felipe
Daurelio, Lucas Damian
Bouzo, Carlos Alberto
Panigo, Elisa
Perez, Adrián Alejandro
author Céccoli, Gabriel
author_facet Céccoli, Gabriel
Granados Ortiz, Sergio Andrés
Buttarelli, Melina Soledad
Pisarello, María Laura
Muñoz, Fernando Felipe
Daurelio, Lucas Damian
Bouzo, Carlos Alberto
Panigo, Elisa
Perez, Adrián Alejandro
author_role author
author2 Granados Ortiz, Sergio Andrés
Buttarelli, Melina Soledad
Pisarello, María Laura
Muñoz, Fernando Felipe
Daurelio, Lucas Damian
Bouzo, Carlos Alberto
Panigo, Elisa
Perez, Adrián Alejandro
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ABIOTIC STRESS
MORPHOLOGICAL PARAMETERS
OIL CROPS
PLANT PHYSIOLOGY
topic ABIOTIC STRESS
MORPHOLOGICAL PARAMETERS
OIL CROPS
PLANT PHYSIOLOGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Globally, around 800 million hectares are affected by salinity. This abiotic stress causes plant growth inhibition, disruptions in physiological processes in plant cells, and yield losses in many crops. Sunflower is the third-most oilseed crop globally produced, and it is considered moderately tolerant to salinity. There are few studies about the genotypic variability existing in sunflower for responses to salinity, especially the changes in yield and oil content and quality under salinity. The present work aimed to study the effects of salinity on achene yield in four sunflower genotypes and their components and on the oil content and quality and their relationships. Four sunflower hybrids (ACA885, TRITON MAX, SRM769 and SRM779) were grown at 130 mM NaCl irrigation solution under controlled environmental conditions. The achene yield, the yield components, and the content and oil quality were determined. Based on the four studied genotypes, salinity decreased achene yield by 75.1 %. SRM779CL had a lower achene yield reduction by salinity. Yield component that most explained this tolerance was the number of achenes per plant. SRM779CL was the hybrid with the highest oil percentage loss. Contrarily, salinity increased the oil content in ACA885. Salinity decreased the ratio between oleic (18:1) and linoleic acid (18:2) in all genotypes. Therefore, salt stress increased the percentage of unsaturations in the four genotypes examined in this work. Finally, considering the 12 parameters measured, principal components analysis could determine that SRM779CL showed the best performance under control conditions while ACA885 was the most tolerant under salinity.
Fil: Céccoli, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Granados Ortiz, Sergio Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina
Fil: Buttarelli, Melina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina
Fil: Pisarello, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
Fil: Muñoz, Fernando Felipe. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Daurelio, Lucas Damian. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Bouzo, Carlos Alberto. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral; Argentina
Fil: Panigo, Elisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias. Cátedra de Morfología Vegetal; Argentina
Fil: Perez, Adrián Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina
description Globally, around 800 million hectares are affected by salinity. This abiotic stress causes plant growth inhibition, disruptions in physiological processes in plant cells, and yield losses in many crops. Sunflower is the third-most oilseed crop globally produced, and it is considered moderately tolerant to salinity. There are few studies about the genotypic variability existing in sunflower for responses to salinity, especially the changes in yield and oil content and quality under salinity. The present work aimed to study the effects of salinity on achene yield in four sunflower genotypes and their components and on the oil content and quality and their relationships. Four sunflower hybrids (ACA885, TRITON MAX, SRM769 and SRM779) were grown at 130 mM NaCl irrigation solution under controlled environmental conditions. The achene yield, the yield components, and the content and oil quality were determined. Based on the four studied genotypes, salinity decreased achene yield by 75.1 %. SRM779CL had a lower achene yield reduction by salinity. Yield component that most explained this tolerance was the number of achenes per plant. SRM779CL was the hybrid with the highest oil percentage loss. Contrarily, salinity increased the oil content in ACA885. Salinity decreased the ratio between oleic (18:1) and linoleic acid (18:2) in all genotypes. Therefore, salt stress increased the percentage of unsaturations in the four genotypes examined in this work. Finally, considering the 12 parameters measured, principal components analysis could determine that SRM779CL showed the best performance under control conditions while ACA885 was the most tolerant under salinity.
publishDate 2022
dc.date.none.fl_str_mv 2022-12
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/11336/214928
Céccoli, Gabriel; Granados Ortiz, Sergio Andrés; Buttarelli, Melina Soledad; Pisarello, María Laura; Muñoz, Fernando Felipe; et al.; Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model; Elsevier; Annals of Agricultural Sciences; 67; 2; 12-2022; 211-219
0570-1783
CONICET Digital
CONICET
url http://hdl.handle.net/11336/214928
identifier_str_mv Céccoli, Gabriel; Granados Ortiz, Sergio Andrés; Buttarelli, Melina Soledad; Pisarello, María Laura; Muñoz, Fernando Felipe; et al.; Salinity tolerance determination in four sunflower (Helianthus annuus L.) hybrids using yield parameters and principal components analysis model; Elsevier; Annals of Agricultural Sciences; 67; 2; 12-2022; 211-219
0570-1783
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0570178322000306
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aoas.2022.12.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.001348

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