Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.

Autores
Alvarez Prado, Santiago; Sadras, Victor Oscar; Borras, Lucas
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Maize kernel weight (KW) is associated with the duration of the grain-filling period (GFD) and the rate of kernel biomass accumulation (KGR). It is also related to the dynamics of water and hence is physiologically linked to the maximum kernel water content (MWC), kernel desiccation rate (KDR), and moisture concentration at physiological maturity (MCPM). This work proposed that principles of phenotypic plasticity can help to consolidated the understanding of the environmental modulation and genetic control of these traits. For that purpose, a maize population of 245 recombinant inbred lines (RILs) was grown under different environmental conditions. Trait plasticity was calculated as the ratio of the variance of each RIL to the overall phenotypic variance of the population of RILs. This work found a hierarchy of plasticities: KDR ≈ GFD > MCPM > KGR > KW > MWC. There was no phenotypic and genetic correlation between traits per se and trait plasticities. MWC, the trait with the lowest plasticity, was the exception because common quantitative trait loci were found for the trait and its plasticity. Independent genetic control of a trait per se and genetic control of its plasticity is a condition for the independent evolution of traits and their plasticities. This allows breeders potentially to select for high or low plasticity in combination with high or low values of economically relevant traits.
Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Producción Vegetal; Argentina
Fil: Sadras, Victor Oscar. South Australian Research and Development Institute; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Borras, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Producción Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
Materia
GRAIN-FILLING DURATION
KERNEL DESICCATION RATE
KERNEL GROWTH RATE
KERNEL WEIGHT
MAXIMUM KERNEL WATER CONTENT
MOISTURE CONCENTRATION AT PHYSIOLOGICAL MATURITY
PHENOTYPIC PLASTICITY
QUANTITATIVE TRAIT LOCI
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:11336/95136

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.Alvarez Prado, SantiagoSadras, Victor OscarBorras, LucasGRAIN-FILLING DURATIONKERNEL DESICCATION RATEKERNEL GROWTH RATEKERNEL WEIGHTMAXIMUM KERNEL WATER CONTENTMOISTURE CONCENTRATION AT PHYSIOLOGICAL MATURITYPHENOTYPIC PLASTICITYQUANTITATIVE TRAIT LOCIhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Maize kernel weight (KW) is associated with the duration of the grain-filling period (GFD) and the rate of kernel biomass accumulation (KGR). It is also related to the dynamics of water and hence is physiologically linked to the maximum kernel water content (MWC), kernel desiccation rate (KDR), and moisture concentration at physiological maturity (MCPM). This work proposed that principles of phenotypic plasticity can help to consolidated the understanding of the environmental modulation and genetic control of these traits. For that purpose, a maize population of 245 recombinant inbred lines (RILs) was grown under different environmental conditions. Trait plasticity was calculated as the ratio of the variance of each RIL to the overall phenotypic variance of the population of RILs. This work found a hierarchy of plasticities: KDR ≈ GFD > MCPM > KGR > KW > MWC. There was no phenotypic and genetic correlation between traits per se and trait plasticities. MWC, the trait with the lowest plasticity, was the exception because common quantitative trait loci were found for the trait and its plasticity. Independent genetic control of a trait per se and genetic control of its plasticity is a condition for the independent evolution of traits and their plasticities. This allows breeders potentially to select for high or low plasticity in combination with high or low values of economically relevant traits.Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Producción Vegetal; ArgentinaFil: Sadras, Victor Oscar. South Australian Research and Development Institute; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Borras, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Producción Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaOxford University Press2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/95136Alvarez Prado, Santiago; Sadras, Victor Oscar; Borras, Lucas; Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.; Oxford University Press; Journal of Experimental Botany; 65; 15; 6-2014; 4479-44870022-0957CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/jxb/article-lookup/doi/10.1093/jxb/eru215info:eu-repo/semantics/altIdentifier/doi/10.1093/jxb/eru215info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:50:40Zoai:ri.conicet.gov.ar:11336/95136instacron: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:34982025-09-29 09:50:40.949CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
title Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
spellingShingle Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
Alvarez Prado, Santiago
GRAIN-FILLING DURATION
KERNEL DESICCATION RATE
KERNEL GROWTH RATE
KERNEL WEIGHT
MAXIMUM KERNEL WATER CONTENT
MOISTURE CONCENTRATION AT PHYSIOLOGICAL MATURITY
PHENOTYPIC PLASTICITY
QUANTITATIVE TRAIT LOCI
title_short Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
title_full Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
title_fullStr Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
title_full_unstemmed Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
title_sort Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.
dc.creator.none.fl_str_mv Alvarez Prado, Santiago
Sadras, Victor Oscar
Borras, Lucas
author Alvarez Prado, Santiago
author_facet Alvarez Prado, Santiago
Sadras, Victor Oscar
Borras, Lucas
author_role author
author2 Sadras, Victor Oscar
Borras, Lucas
author2_role author
author
dc.subject.none.fl_str_mv GRAIN-FILLING DURATION
KERNEL DESICCATION RATE
KERNEL GROWTH RATE
KERNEL WEIGHT
MAXIMUM KERNEL WATER CONTENT
MOISTURE CONCENTRATION AT PHYSIOLOGICAL MATURITY
PHENOTYPIC PLASTICITY
QUANTITATIVE TRAIT LOCI
topic GRAIN-FILLING DURATION
KERNEL DESICCATION RATE
KERNEL GROWTH RATE
KERNEL WEIGHT
MAXIMUM KERNEL WATER CONTENT
MOISTURE CONCENTRATION AT PHYSIOLOGICAL MATURITY
PHENOTYPIC PLASTICITY
QUANTITATIVE TRAIT LOCI
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Maize kernel weight (KW) is associated with the duration of the grain-filling period (GFD) and the rate of kernel biomass accumulation (KGR). It is also related to the dynamics of water and hence is physiologically linked to the maximum kernel water content (MWC), kernel desiccation rate (KDR), and moisture concentration at physiological maturity (MCPM). This work proposed that principles of phenotypic plasticity can help to consolidated the understanding of the environmental modulation and genetic control of these traits. For that purpose, a maize population of 245 recombinant inbred lines (RILs) was grown under different environmental conditions. Trait plasticity was calculated as the ratio of the variance of each RIL to the overall phenotypic variance of the population of RILs. This work found a hierarchy of plasticities: KDR ≈ GFD > MCPM > KGR > KW > MWC. There was no phenotypic and genetic correlation between traits per se and trait plasticities. MWC, the trait with the lowest plasticity, was the exception because common quantitative trait loci were found for the trait and its plasticity. Independent genetic control of a trait per se and genetic control of its plasticity is a condition for the independent evolution of traits and their plasticities. This allows breeders potentially to select for high or low plasticity in combination with high or low values of economically relevant traits.
Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Producción Vegetal; Argentina
Fil: Sadras, Victor Oscar. South Australian Research and Development Institute; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Borras, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Producción Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
description Maize kernel weight (KW) is associated with the duration of the grain-filling period (GFD) and the rate of kernel biomass accumulation (KGR). It is also related to the dynamics of water and hence is physiologically linked to the maximum kernel water content (MWC), kernel desiccation rate (KDR), and moisture concentration at physiological maturity (MCPM). This work proposed that principles of phenotypic plasticity can help to consolidated the understanding of the environmental modulation and genetic control of these traits. For that purpose, a maize population of 245 recombinant inbred lines (RILs) was grown under different environmental conditions. Trait plasticity was calculated as the ratio of the variance of each RIL to the overall phenotypic variance of the population of RILs. This work found a hierarchy of plasticities: KDR ≈ GFD > MCPM > KGR > KW > MWC. There was no phenotypic and genetic correlation between traits per se and trait plasticities. MWC, the trait with the lowest plasticity, was the exception because common quantitative trait loci were found for the trait and its plasticity. Independent genetic control of a trait per se and genetic control of its plasticity is a condition for the independent evolution of traits and their plasticities. This allows breeders potentially to select for high or low plasticity in combination with high or low values of economically relevant traits.
publishDate 2014
dc.date.none.fl_str_mv 2014-06
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/11336/95136
Alvarez Prado, Santiago; Sadras, Victor Oscar; Borras, Lucas; Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.; Oxford University Press; Journal of Experimental Botany; 65; 15; 6-2014; 4479-4487
0022-0957
CONICET Digital
CONICET
url http://hdl.handle.net/11336/95136
identifier_str_mv Alvarez Prado, Santiago; Sadras, Victor Oscar; Borras, Lucas; Independent genetic control of maize (Zea Mays L.) kernel weight determination and its phenotypic plasticity.; Oxford University Press; Journal of Experimental Botany; 65; 15; 6-2014; 4479-4487
0022-0957
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://academic.oup.com/jxb/article-lookup/doi/10.1093/jxb/eru215
info:eu-repo/semantics/altIdentifier/doi/10.1093/jxb/eru215
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
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
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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