Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels

Autores
Puhl, Laura Elena; Crossa, José; Munilla Leguizamon, Sebastian; Pérez Rodríguez, Paulino; Cantet, Rodolfo Juan Carlos
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Cultivated bread wheat (Triticum aestivum L.) is an allohexaploid species resulting from the natural hybridization and chromosome doubling of allotetraploid durum wheat (T. turgidum) and a diploid goatgrass Aegilops tauschii Coss (Ae. tauschii). Synthetic hexaploid wheat (SHW) was developed through the interspecific hybridization of Ae. tauschii and T. turgidum, and then crossed to T. aestivum to produce synthetic hexaploid wheat derivatives (SHWDs). Owing to this founding variability, one may infer that the genetic variances of native wild populations vs improved wheat may vary due to their differential origin and evolutionary history. In this study, we partitioned the additive variance of SHW and SHWD with respect to their breed origin by fitting a hierarchical Bayesian model with heterogeneous covariance structure for breeding values to estimate variance components for each breed category, and segregation variance. Two data sets were used to test the proposed hierarchical Bayesian model, one from a multi-year multi-location field trial of SHWD and the other comprising the two species of SHW. For the SHWD, the Bayesian estimates of additive variances of grain yield from each breed category were similar for T. turgidum and Ae. tauschii, but smaller for T. aestivum. Segregation variances between Ae. tauschii-T. aestivum and T. turgidum-T. aestivum populations explained a sizable proportion of the phenotypic variance. Bayesian additive variance components and the Best Linear Unbiased Predictors (BLUPs) estimated by two well-known software programs were similar for multi-breed origin and for the sum of the breeding values by origin for both data sets. Our results support the suitability of models with heterogeneous additive genetic variances to predict breeding values in wheat crosses with variable ploidy levels.
Fil: Puhl, Laura Elena. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Fil: Crossa, José. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Munilla Leguizamon, Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Unidad Ejecutora de Investigaciones en Producción Animal. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Unidad Ejecutora de Investigaciones en Producción Animal; Argentina
Fil: Pérez Rodríguez, Paulino. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Cantet, Rodolfo Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Unidad Ejecutora de Investigaciones en Producción Animal. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Unidad Ejecutora de Investigaciones en Producción Animal; Argentina
Materia
ADDITIVE GENETIC VARIANCE
BREEDING VALUES
POLYPLOIDY
SYNTHETIC WHEAT
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:11336/163994
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/163994
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levelsPuhl, Laura ElenaCrossa, JoséMunilla Leguizamon, SebastianPérez Rodríguez, PaulinoCantet, Rodolfo Juan CarlosADDITIVE GENETIC VARIANCEBREEDING VALUESPOLYPLOIDYSYNTHETIC WHEAThttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Cultivated bread wheat (Triticum aestivum L.) is an allohexaploid species resulting from the natural hybridization and chromosome doubling of allotetraploid durum wheat (T. turgidum) and a diploid goatgrass Aegilops tauschii Coss (Ae. tauschii). Synthetic hexaploid wheat (SHW) was developed through the interspecific hybridization of Ae. tauschii and T. turgidum, and then crossed to T. aestivum to produce synthetic hexaploid wheat derivatives (SHWDs). Owing to this founding variability, one may infer that the genetic variances of native wild populations vs improved wheat may vary due to their differential origin and evolutionary history. In this study, we partitioned the additive variance of SHW and SHWD with respect to their breed origin by fitting a hierarchical Bayesian model with heterogeneous covariance structure for breeding values to estimate variance components for each breed category, and segregation variance. Two data sets were used to test the proposed hierarchical Bayesian model, one from a multi-year multi-location field trial of SHWD and the other comprising the two species of SHW. For the SHWD, the Bayesian estimates of additive variances of grain yield from each breed category were similar for T. turgidum and Ae. tauschii, but smaller for T. aestivum. Segregation variances between Ae. tauschii-T. aestivum and T. turgidum-T. aestivum populations explained a sizable proportion of the phenotypic variance. Bayesian additive variance components and the Best Linear Unbiased Predictors (BLUPs) estimated by two well-known software programs were similar for multi-breed origin and for the sum of the breeding values by origin for both data sets. Our results support the suitability of models with heterogeneous additive genetic variances to predict breeding values in wheat crosses with variable ploidy levels.Fil: Puhl, Laura Elena. Universidad de Buenos Aires. Facultad de Agronomía; ArgentinaFil: Crossa, José. Centro Internacional de Mejoramiento de Maíz y Trigo; MéxicoFil: Munilla Leguizamon, Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Unidad Ejecutora de Investigaciones en Producción Animal. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Unidad Ejecutora de Investigaciones en Producción Animal; ArgentinaFil: Pérez Rodríguez, Paulino. Centro Internacional de Mejoramiento de Maíz y Trigo; MéxicoFil: Cantet, Rodolfo Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Unidad Ejecutora de Investigaciones en Producción Animal. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Unidad Ejecutora de Investigaciones en Producción Animal; ArgentinaOxford University Press2021-01-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/163994Puhl, Laura Elena; Crossa, José; Munilla Leguizamon, Sebastian; Pérez Rodríguez, Paulino; Cantet, Rodolfo Juan Carlos; Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels; Oxford University Press; Genetics; 217; 2; 7-1-2021; 1-151943-2631CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/genetics/article/doi/10.1093/genetics/iyaa048/6067403info:eu-repo/semantics/altIdentifier/doi/10.1093/genetics/iyaa048info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:23:03Zoai:ri.conicet.gov.ar:11336/163994instacron: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 10:23:03.998CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
title Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
spellingShingle Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
Puhl, Laura Elena
ADDITIVE GENETIC VARIANCE
BREEDING VALUES
POLYPLOIDY
SYNTHETIC WHEAT
title_short Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
title_full Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
title_fullStr Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
title_full_unstemmed Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
title_sort Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
dc.creator.none.fl_str_mv Puhl, Laura Elena
Crossa, José
Munilla Leguizamon, Sebastian
Pérez Rodríguez, Paulino
Cantet, Rodolfo Juan Carlos
author Puhl, Laura Elena
author_facet Puhl, Laura Elena
Crossa, José
Munilla Leguizamon, Sebastian
Pérez Rodríguez, Paulino
Cantet, Rodolfo Juan Carlos
author_role author
author2 Crossa, José
Munilla Leguizamon, Sebastian
Pérez Rodríguez, Paulino
Cantet, Rodolfo Juan Carlos
author2_role author
author
author
author
dc.subject.none.fl_str_mv ADDITIVE GENETIC VARIANCE
BREEDING VALUES
POLYPLOIDY
SYNTHETIC WHEAT
topic ADDITIVE GENETIC VARIANCE
BREEDING VALUES
POLYPLOIDY
SYNTHETIC WHEAT
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Cultivated bread wheat (Triticum aestivum L.) is an allohexaploid species resulting from the natural hybridization and chromosome doubling of allotetraploid durum wheat (T. turgidum) and a diploid goatgrass Aegilops tauschii Coss (Ae. tauschii). Synthetic hexaploid wheat (SHW) was developed through the interspecific hybridization of Ae. tauschii and T. turgidum, and then crossed to T. aestivum to produce synthetic hexaploid wheat derivatives (SHWDs). Owing to this founding variability, one may infer that the genetic variances of native wild populations vs improved wheat may vary due to their differential origin and evolutionary history. In this study, we partitioned the additive variance of SHW and SHWD with respect to their breed origin by fitting a hierarchical Bayesian model with heterogeneous covariance structure for breeding values to estimate variance components for each breed category, and segregation variance. Two data sets were used to test the proposed hierarchical Bayesian model, one from a multi-year multi-location field trial of SHWD and the other comprising the two species of SHW. For the SHWD, the Bayesian estimates of additive variances of grain yield from each breed category were similar for T. turgidum and Ae. tauschii, but smaller for T. aestivum. Segregation variances between Ae. tauschii-T. aestivum and T. turgidum-T. aestivum populations explained a sizable proportion of the phenotypic variance. Bayesian additive variance components and the Best Linear Unbiased Predictors (BLUPs) estimated by two well-known software programs were similar for multi-breed origin and for the sum of the breeding values by origin for both data sets. Our results support the suitability of models with heterogeneous additive genetic variances to predict breeding values in wheat crosses with variable ploidy levels.
Fil: Puhl, Laura Elena. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Fil: Crossa, José. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Munilla Leguizamon, Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Unidad Ejecutora de Investigaciones en Producción Animal. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Unidad Ejecutora de Investigaciones en Producción Animal; Argentina
Fil: Pérez Rodríguez, Paulino. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Cantet, Rodolfo Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Unidad Ejecutora de Investigaciones en Producción Animal. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Unidad Ejecutora de Investigaciones en Producción Animal; Argentina
description Cultivated bread wheat (Triticum aestivum L.) is an allohexaploid species resulting from the natural hybridization and chromosome doubling of allotetraploid durum wheat (T. turgidum) and a diploid goatgrass Aegilops tauschii Coss (Ae. tauschii). Synthetic hexaploid wheat (SHW) was developed through the interspecific hybridization of Ae. tauschii and T. turgidum, and then crossed to T. aestivum to produce synthetic hexaploid wheat derivatives (SHWDs). Owing to this founding variability, one may infer that the genetic variances of native wild populations vs improved wheat may vary due to their differential origin and evolutionary history. In this study, we partitioned the additive variance of SHW and SHWD with respect to their breed origin by fitting a hierarchical Bayesian model with heterogeneous covariance structure for breeding values to estimate variance components for each breed category, and segregation variance. Two data sets were used to test the proposed hierarchical Bayesian model, one from a multi-year multi-location field trial of SHWD and the other comprising the two species of SHW. For the SHWD, the Bayesian estimates of additive variances of grain yield from each breed category were similar for T. turgidum and Ae. tauschii, but smaller for T. aestivum. Segregation variances between Ae. tauschii-T. aestivum and T. turgidum-T. aestivum populations explained a sizable proportion of the phenotypic variance. Bayesian additive variance components and the Best Linear Unbiased Predictors (BLUPs) estimated by two well-known software programs were similar for multi-breed origin and for the sum of the breeding values by origin for both data sets. Our results support the suitability of models with heterogeneous additive genetic variances to predict breeding values in wheat crosses with variable ploidy levels.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-07
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/11336/163994
Puhl, Laura Elena; Crossa, José; Munilla Leguizamon, Sebastian; Pérez Rodríguez, Paulino; Cantet, Rodolfo Juan Carlos; Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels; Oxford University Press; Genetics; 217; 2; 7-1-2021; 1-15
1943-2631
CONICET Digital
CONICET
url http://hdl.handle.net/11336/163994
identifier_str_mv Puhl, Laura Elena; Crossa, José; Munilla Leguizamon, Sebastian; Pérez Rodríguez, Paulino; Cantet, Rodolfo Juan Carlos; Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels; Oxford University Press; Genetics; 217; 2; 7-1-2021; 1-15
1943-2631
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/genetics/article/doi/10.1093/genetics/iyaa048/6067403
info:eu-repo/semantics/altIdentifier/doi/10.1093/genetics/iyaa048
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
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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score 13.070432

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