Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)

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Prosopis represents a valuable forest resource in arid and semiarid regions. Management of promising species requires information about genetic parameters, mainly the heritability (h2) of quantitative profitable traits. This parameter is traditionally estimated from progeny tests or half-sib analysi...

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Autores principales: Bessega, C., Saidman, B.O., Darquier, M.R., Ewens, M., Sánchez, L., Rozenberg, P., Vilardi, J.C.
Formato: Artículo publishedVersion
Publicado: 2009
Materias:
Fabaceae
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
arid region
estimation method
experimental study
forest resource
genealogy
genetic marker
heritability
legume
life cycle
profitability
relatedness
resource management
semiarid region
Prosopis
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00029122_v96_n2_p458_Bessega
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_00029122_v96_n2_p458_Bessega_oai
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Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires
id I28-R145-paper_00029122_v96_n2_p458_Bessega_oai
record_format dspace
spelling I28-R145-paper_00029122_v96_n2_p458_Bessega_oai2024-08-16 Bessega, C. Saidman, B.O. Darquier, M.R. Ewens, M. Sánchez, L. Rozenberg, P. Vilardi, J.C. 2009 Prosopis represents a valuable forest resource in arid and semiarid regions. Management of promising species requires information about genetic parameters, mainly the heritability (h2) of quantitative profitable traits. This parameter is traditionally estimated from progeny tests or half-sib analysis conducted in experimental stands. Such an approach estimates h 2 from the ratio of between-family/total phenotypic variance. These analyses are difficult to apply to natural populations of species with a long life cycle, overlapping generations, and a mixed mating system, without genealogical information. A promising alternative is the use of molecular marker information to infer relatedness between individuals and to estimate h 2 from the regression of phenotypic similarity on inferred relatedness. In the current study we compared h2 of 13 quantitative traits estimated by these two methods in an experimental stand of P. alba, where genealogical information was available. We inferred pairwise relatedness by Ritland's method using six microsatellite loci. Relatedness and heritability estimates from molecular information were highly correlated to the values obtained from genealogical data. Although Ritland's method yields lower h 2 estimates and tends to overestimate genetic correlations between traits, this approach is useful to predict the expected relative gain of different quantitative traits under selection without genealogical information. Fil:Bessega, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Saidman, B.O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Darquier, M.R. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Vilardi, J.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. application/pdf http://hdl.handle.net/20.500.12110/paper_00029122_v96_n2_p458_Bessega info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar Am. J. Bot. 2009;96(2):458-465 Fabaceae Heritability Leguminosae Molecular markers Prosopis alba Quantitative traits arid region estimation method experimental study forest resource genealogy genetic marker heritability legume life cycle profitability relatedness resource management semiarid region Fabaceae Prosopis Prosopis alba Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae) info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_00029122_v96_n2_p458_Bessega_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
topic Fabaceae
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
arid region
estimation method
experimental study
forest resource
genealogy
genetic marker
heritability
legume
life cycle
profitability
relatedness
resource management
semiarid region
Fabaceae
Prosopis
Prosopis alba
spellingShingle Fabaceae
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
arid region
estimation method
experimental study
forest resource
genealogy
genetic marker
heritability
legume
life cycle
profitability
relatedness
resource management
semiarid region
Fabaceae
Prosopis
Prosopis alba
Bessega, C.
Saidman, B.O.
Darquier, M.R.
Ewens, M.
Sánchez, L.
Rozenberg, P.
Vilardi, J.C.
Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)
topic_facet Fabaceae
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
arid region
estimation method
experimental study
forest resource
genealogy
genetic marker
heritability
legume
life cycle
profitability
relatedness
resource management
semiarid region
Fabaceae
Prosopis
Prosopis alba
description Prosopis represents a valuable forest resource in arid and semiarid regions. Management of promising species requires information about genetic parameters, mainly the heritability (h2) of quantitative profitable traits. This parameter is traditionally estimated from progeny tests or half-sib analysis conducted in experimental stands. Such an approach estimates h 2 from the ratio of between-family/total phenotypic variance. These analyses are difficult to apply to natural populations of species with a long life cycle, overlapping generations, and a mixed mating system, without genealogical information. A promising alternative is the use of molecular marker information to infer relatedness between individuals and to estimate h 2 from the regression of phenotypic similarity on inferred relatedness. In the current study we compared h2 of 13 quantitative traits estimated by these two methods in an experimental stand of P. alba, where genealogical information was available. We inferred pairwise relatedness by Ritland's method using six microsatellite loci. Relatedness and heritability estimates from molecular information were highly correlated to the values obtained from genealogical data. Although Ritland's method yields lower h 2 estimates and tends to overestimate genetic correlations between traits, this approach is useful to predict the expected relative gain of different quantitative traits under selection without genealogical information.
format Artículo
Artículo
publishedVersion
author Bessega, C.
Saidman, B.O.
Darquier, M.R.
Ewens, M.
Sánchez, L.
Rozenberg, P.
Vilardi, J.C.
author_facet Bessega, C.
Saidman, B.O.
Darquier, M.R.
Ewens, M.
Sánchez, L.
Rozenberg, P.
Vilardi, J.C.
author_sort Bessega, C.
title Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)
title_short Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)
title_full Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)
title_fullStr Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)
title_full_unstemmed Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)
title_sort consistency between marker- and genealogy-based heritability estimates in an experimental stand of prosopis alba (leguminosae)
publishDate 2009
url http://hdl.handle.net/20.500.12110/paper_00029122_v96_n2_p458_Bessega
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_00029122_v96_n2_p458_Bessega_oai
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