Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum

Autores
Gonzalez Barrios, P.; Speranza, Pablo; Glison, Nicolás; Piccardi, Mónica Belén; Balzarini, Monica Graciela; Gutierrez, L.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Understanding the flowering cycles of perennial warm-season grass species may be very important to the design of management practices and breeding. However, developmental dynamics are not well understood. As most plant traits associated with flowering dynamics do not follow a normal distribution, the use of general linear models to describe and compare these variables might be misleading. The aims of this study were (i) to find a methodology to compare panicle accumulation curves and (ii) to estimate heritabilities for flowering curve attributes. Panicle counts were recorded during a complete flowering cycle on a diverse collection of dallisgrass (Paspalum dilatatum). We compared the efficiency of different linear mixed models based on whole plot or individual plant data; then, we adjusted nonlinear regression curves for individual plants to estimate several curve attributes and compared this approach to the area under the curve. Finally, we calculated the broad-sense heritabilities of the estimated curve parameters. The following reproductive curve attributes were obtained: panicle production potential, panicle accumulation rate and days until 3, 5, 10 and 15 panicles. We found that monitoring individual plants is more efficient when studying flowering attributes. Significant differences among genotypes for several flowering cycle attributes were found. Heritabilities were very high for all flowering cycle initiation and duration attributes. We also showed that the number of days until the emergence of a given low number of panicles can be used as a highly heritable measure to characterize flowering cycles.
Fil: Gonzalez Barrios, P.. Universidad de la República; Uruguay
Fil: Speranza, Pablo. Universidad de la República; Uruguay
Fil: Glison, Nicolás. Universidad de la República; Uruguay
Fil: Piccardi, Mónica Belén. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina
Fil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina
Fil: Gutierrez, L.. Universidad de la República; Uruguay
Materia
Flowering Time
Seeds
Dallisgrass
Harvest Date
Modelling
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:11336/44886
Acceder
id CONICETDig_e2050ac4d72d9a1041037e5cfdd8ea50
oai_identifier_str oai:ri.conicet.gov.ar:11336/44886
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatumGonzalez Barrios, P.Speranza, PabloGlison, NicolásPiccardi, Mónica BelénBalzarini, Monica GracielaGutierrez, L.Flowering TimeSeedsDallisgrassHarvest DateModellinghttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Understanding the flowering cycles of perennial warm-season grass species may be very important to the design of management practices and breeding. However, developmental dynamics are not well understood. As most plant traits associated with flowering dynamics do not follow a normal distribution, the use of general linear models to describe and compare these variables might be misleading. The aims of this study were (i) to find a methodology to compare panicle accumulation curves and (ii) to estimate heritabilities for flowering curve attributes. Panicle counts were recorded during a complete flowering cycle on a diverse collection of dallisgrass (Paspalum dilatatum). We compared the efficiency of different linear mixed models based on whole plot or individual plant data; then, we adjusted nonlinear regression curves for individual plants to estimate several curve attributes and compared this approach to the area under the curve. Finally, we calculated the broad-sense heritabilities of the estimated curve parameters. The following reproductive curve attributes were obtained: panicle production potential, panicle accumulation rate and days until 3, 5, 10 and 15 panicles. We found that monitoring individual plants is more efficient when studying flowering attributes. Significant differences among genotypes for several flowering cycle attributes were found. Heritabilities were very high for all flowering cycle initiation and duration attributes. We also showed that the number of days until the emergence of a given low number of panicles can be used as a highly heritable measure to characterize flowering cycles.Fil: Gonzalez Barrios, P.. Universidad de la República; UruguayFil: Speranza, Pablo. Universidad de la República; UruguayFil: Glison, Nicolás. Universidad de la República; UruguayFil: Piccardi, Mónica Belén. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; ArgentinaFil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; ArgentinaFil: Gutierrez, L.. Universidad de la República; UruguayJohn Wiley & Sons Ltd2015-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/44886Gonzalez Barrios, P.; Speranza, Pablo; Glison, Nicolás; Piccardi, Mónica Belén; Balzarini, Monica Graciela; et al.; Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum; John Wiley & Sons Ltd; Grass and Forage Science; 71; 1; 2-2015; 123-1311365-2494CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/gfs.12159info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12159info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:41:13Zoai:ri.conicet.gov.ar:11336/44886instacron: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 10:41:13.741CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
title Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
spellingShingle Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
Gonzalez Barrios, P.
Flowering Time
Seeds
Dallisgrass
Harvest Date
Modelling
title_short Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
title_full Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
title_fullStr Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
title_full_unstemmed Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
title_sort Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum
dc.creator.none.fl_str_mv Gonzalez Barrios, P.
Speranza, Pablo
Glison, Nicolás
Piccardi, Mónica Belén
Balzarini, Monica Graciela
Gutierrez, L.
author Gonzalez Barrios, P.
author_facet Gonzalez Barrios, P.
Speranza, Pablo
Glison, Nicolás
Piccardi, Mónica Belén
Balzarini, Monica Graciela
Gutierrez, L.
author_role author
author2 Speranza, Pablo
Glison, Nicolás
Piccardi, Mónica Belén
Balzarini, Monica Graciela
Gutierrez, L.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Flowering Time
Seeds
Dallisgrass
Harvest Date
Modelling
topic Flowering Time
Seeds
Dallisgrass
Harvest Date
Modelling
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Understanding the flowering cycles of perennial warm-season grass species may be very important to the design of management practices and breeding. However, developmental dynamics are not well understood. As most plant traits associated with flowering dynamics do not follow a normal distribution, the use of general linear models to describe and compare these variables might be misleading. The aims of this study were (i) to find a methodology to compare panicle accumulation curves and (ii) to estimate heritabilities for flowering curve attributes. Panicle counts were recorded during a complete flowering cycle on a diverse collection of dallisgrass (Paspalum dilatatum). We compared the efficiency of different linear mixed models based on whole plot or individual plant data; then, we adjusted nonlinear regression curves for individual plants to estimate several curve attributes and compared this approach to the area under the curve. Finally, we calculated the broad-sense heritabilities of the estimated curve parameters. The following reproductive curve attributes were obtained: panicle production potential, panicle accumulation rate and days until 3, 5, 10 and 15 panicles. We found that monitoring individual plants is more efficient when studying flowering attributes. Significant differences among genotypes for several flowering cycle attributes were found. Heritabilities were very high for all flowering cycle initiation and duration attributes. We also showed that the number of days until the emergence of a given low number of panicles can be used as a highly heritable measure to characterize flowering cycles.
Fil: Gonzalez Barrios, P.. Universidad de la República; Uruguay
Fil: Speranza, Pablo. Universidad de la República; Uruguay
Fil: Glison, Nicolás. Universidad de la República; Uruguay
Fil: Piccardi, Mónica Belén. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina
Fil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina
Fil: Gutierrez, L.. Universidad de la República; Uruguay
description Understanding the flowering cycles of perennial warm-season grass species may be very important to the design of management practices and breeding. However, developmental dynamics are not well understood. As most plant traits associated with flowering dynamics do not follow a normal distribution, the use of general linear models to describe and compare these variables might be misleading. The aims of this study were (i) to find a methodology to compare panicle accumulation curves and (ii) to estimate heritabilities for flowering curve attributes. Panicle counts were recorded during a complete flowering cycle on a diverse collection of dallisgrass (Paspalum dilatatum). We compared the efficiency of different linear mixed models based on whole plot or individual plant data; then, we adjusted nonlinear regression curves for individual plants to estimate several curve attributes and compared this approach to the area under the curve. Finally, we calculated the broad-sense heritabilities of the estimated curve parameters. The following reproductive curve attributes were obtained: panicle production potential, panicle accumulation rate and days until 3, 5, 10 and 15 panicles. We found that monitoring individual plants is more efficient when studying flowering attributes. Significant differences among genotypes for several flowering cycle attributes were found. Heritabilities were very high for all flowering cycle initiation and duration attributes. We also showed that the number of days until the emergence of a given low number of panicles can be used as a highly heritable measure to characterize flowering cycles.
publishDate 2015
dc.date.none.fl_str_mv 2015-02
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/11336/44886
Gonzalez Barrios, P.; Speranza, Pablo; Glison, Nicolás; Piccardi, Mónica Belén; Balzarini, Monica Graciela; et al.; Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum; John Wiley & Sons Ltd; Grass and Forage Science; 71; 1; 2-2015; 123-131
1365-2494
CONICET Digital
CONICET
url http://hdl.handle.net/11336/44886
identifier_str_mv Gonzalez Barrios, P.; Speranza, Pablo; Glison, Nicolás; Piccardi, Mónica Belén; Balzarini, Monica Graciela; et al.; Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum; John Wiley & Sons Ltd; Grass and Forage Science; 71; 1; 2-2015; 123-131
1365-2494
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/gfs.12159
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12159
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
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_ 1844614442723049472
score 13.070432

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