Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations

Autores
Alberio, Constanza; Aguirrezábal, Luis Adolfo Nazareno; Izquierdo, Natalia Gabriela; Reid, Roberto; Zuil, Sebastian; Zambelli, Andres Daniel
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The effect of genetic background on the stability of fatty acid composition in sunflower near isogenic lines (NILs) carrying high-oleic Pervenets (P) or high-oleic NM1 mutations was studied. The materials were field-tested in different locations and at different sowing dates to evaluate a wide range of environmental conditions. Relationships were established between the fatty acids and the minimum night temperature (MNT) and the response was characterized. RESULTS: A genetic background effect for the fatty acid composition was found in both groups of NILs. The NM1-NILs showed an oleic level higher than 910 g kg−1 and they were more stable across environments with a zero or low dependence on the genetic background; on the other hand, high oleic materials bearing the P mutation showed lower levels of oleic acid, with a higher variation in fatty acid composition and a highly significant dependence on the genetic background. CONCLUSION: The NM1 mutation is the best option to develop ultra-high oleic sunflower oil that is stable across environments and genetic backgrounds, making its agronomical production more efficient and predictable.
Fil: Alberio, Constanza. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Aguirrezábal, Luis Adolfo Nazareno. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata; Argentina
Fil: Izquierdo, Natalia Gabriela. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Reid, Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Advanta Semillas S.A.I.C.; Argentina
Fil: Zuil, Sebastian. Universidad Nacional de Mar del Plata; Argentina
Fil: Zambelli, Andres Daniel. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Environment
Genetic Background
Helianthus Annuus
High Oleic Oilseed
Near Isogenic Lines
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86477
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/86477
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutationsAlberio, ConstanzaAguirrezábal, Luis Adolfo NazarenoIzquierdo, Natalia GabrielaReid, RobertoZuil, SebastianZambelli, Andres DanielEnvironmentGenetic BackgroundHelianthus AnnuusHigh Oleic OilseedNear Isogenic Lineshttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4https://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4The effect of genetic background on the stability of fatty acid composition in sunflower near isogenic lines (NILs) carrying high-oleic Pervenets (P) or high-oleic NM1 mutations was studied. The materials were field-tested in different locations and at different sowing dates to evaluate a wide range of environmental conditions. Relationships were established between the fatty acids and the minimum night temperature (MNT) and the response was characterized. RESULTS: A genetic background effect for the fatty acid composition was found in both groups of NILs. The NM1-NILs showed an oleic level higher than 910 g kg−1 and they were more stable across environments with a zero or low dependence on the genetic background; on the other hand, high oleic materials bearing the P mutation showed lower levels of oleic acid, with a higher variation in fatty acid composition and a highly significant dependence on the genetic background. CONCLUSION: The NM1 mutation is the best option to develop ultra-high oleic sunflower oil that is stable across environments and genetic backgrounds, making its agronomical production more efficient and predictable.Fil: Alberio, Constanza. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Aguirrezábal, Luis Adolfo Nazareno. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata; ArgentinaFil: Izquierdo, Natalia Gabriela. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Reid, Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Advanta Semillas S.A.I.C.; ArgentinaFil: Zuil, Sebastian. Universidad Nacional de Mar del Plata; ArgentinaFil: Zambelli, Andres Daniel. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaJohn Wiley & Sons Ltd2018-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86477Alberio, Constanza; Aguirrezábal, Luis Adolfo Nazareno; Izquierdo, Natalia Gabriela; Reid, Roberto; Zuil, Sebastian; et al.; Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations; John Wiley & Sons Ltd; Journal of the Science of Food and Agriculture; 98; 11; 8-2018; 4074-40840022-5142CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://doi.wiley.com/10.1002/jsfa.8924info:eu-repo/semantics/altIdentifier/doi/10.1002/jsfa.8924info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:21:02Zoai:ri.conicet.gov.ar:11336/86477instacron: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:34982025-09-10 13:21:02.515CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
title Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
spellingShingle Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
Alberio, Constanza
Environment
Genetic Background
Helianthus Annuus
High Oleic Oilseed
Near Isogenic Lines
title_short Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
title_full Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
title_fullStr Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
title_full_unstemmed Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
title_sort Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
dc.creator.none.fl_str_mv Alberio, Constanza
Aguirrezábal, Luis Adolfo Nazareno
Izquierdo, Natalia Gabriela
Reid, Roberto
Zuil, Sebastian
Zambelli, Andres Daniel
author Alberio, Constanza
author_facet Alberio, Constanza
Aguirrezábal, Luis Adolfo Nazareno
Izquierdo, Natalia Gabriela
Reid, Roberto
Zuil, Sebastian
Zambelli, Andres Daniel
author_role author
author2 Aguirrezábal, Luis Adolfo Nazareno
Izquierdo, Natalia Gabriela
Reid, Roberto
Zuil, Sebastian
Zambelli, Andres Daniel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Environment
Genetic Background
Helianthus Annuus
High Oleic Oilseed
Near Isogenic Lines
topic Environment
Genetic Background
Helianthus Annuus
High Oleic Oilseed
Near Isogenic Lines
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The effect of genetic background on the stability of fatty acid composition in sunflower near isogenic lines (NILs) carrying high-oleic Pervenets (P) or high-oleic NM1 mutations was studied. The materials were field-tested in different locations and at different sowing dates to evaluate a wide range of environmental conditions. Relationships were established between the fatty acids and the minimum night temperature (MNT) and the response was characterized. RESULTS: A genetic background effect for the fatty acid composition was found in both groups of NILs. The NM1-NILs showed an oleic level higher than 910 g kg−1 and they were more stable across environments with a zero or low dependence on the genetic background; on the other hand, high oleic materials bearing the P mutation showed lower levels of oleic acid, with a higher variation in fatty acid composition and a highly significant dependence on the genetic background. CONCLUSION: The NM1 mutation is the best option to develop ultra-high oleic sunflower oil that is stable across environments and genetic backgrounds, making its agronomical production more efficient and predictable.
Fil: Alberio, Constanza. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Aguirrezábal, Luis Adolfo Nazareno. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata; Argentina
Fil: Izquierdo, Natalia Gabriela. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Reid, Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Advanta Semillas S.A.I.C.; Argentina
Fil: Zuil, Sebastian. Universidad Nacional de Mar del Plata; Argentina
Fil: Zambelli, Andres Daniel. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The effect of genetic background on the stability of fatty acid composition in sunflower near isogenic lines (NILs) carrying high-oleic Pervenets (P) or high-oleic NM1 mutations was studied. The materials were field-tested in different locations and at different sowing dates to evaluate a wide range of environmental conditions. Relationships were established between the fatty acids and the minimum night temperature (MNT) and the response was characterized. RESULTS: A genetic background effect for the fatty acid composition was found in both groups of NILs. The NM1-NILs showed an oleic level higher than 910 g kg−1 and they were more stable across environments with a zero or low dependence on the genetic background; on the other hand, high oleic materials bearing the P mutation showed lower levels of oleic acid, with a higher variation in fatty acid composition and a highly significant dependence on the genetic background. CONCLUSION: The NM1 mutation is the best option to develop ultra-high oleic sunflower oil that is stable across environments and genetic backgrounds, making its agronomical production more efficient and predictable.
publishDate 2018
dc.date.none.fl_str_mv 2018-08
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/11336/86477
Alberio, Constanza; Aguirrezábal, Luis Adolfo Nazareno; Izquierdo, Natalia Gabriela; Reid, Roberto; Zuil, Sebastian; et al.; Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations; John Wiley & Sons Ltd; Journal of the Science of Food and Agriculture; 98; 11; 8-2018; 4074-4084
0022-5142
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86477
identifier_str_mv Alberio, Constanza; Aguirrezábal, Luis Adolfo Nazareno; Izquierdo, Natalia Gabriela; Reid, Roberto; Zuil, Sebastian; et al.; Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations; John Wiley & Sons Ltd; Journal of the Science of Food and Agriculture; 98; 11; 8-2018; 4074-4084
0022-5142
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://doi.wiley.com/10.1002/jsfa.8924
info:eu-repo/semantics/altIdentifier/doi/10.1002/jsfa.8924
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons Ltd
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
_version_ 1842981152609009664
score 12.493442

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