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First published online January 9, 2009; doi:10.3732/ajb.0800074 American Journal of Botany 96: 458-465 (2009) © 2009 Botanical Society of America, Inc.

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Consistency between marker- and genealogy-based heritability estimates in an experimental stand of Prosopis alba (Leguminosae)¹

² Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pabellón 2, 1428, Buenos Aires, Argentina ³ Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Rivadavia 1917, Buenos Aires, Argentina ⁴ Estación Experimental Fernández, Departamento de Robles, Santiago del Estero, Argentina ⁵ Unité Amélioration Génétique et Physiologie Forestières, BP 20619, Ardon, 45166 Olivet Cedex, France

ABSTRACT

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 h² 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 h² 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 h² 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.

Key Words: Fabaceae • heritability • Leguminosae • molecular markers • Prosopis alba • quantitative traits

Received for publication 28 February 2008. Accepted for publication 23 July 2008.

FOOTNOTES

¹ This research was supported by funding from Agencia Nacional de Promociones Científicas y Tecnológicas (ANPCyT) BID 1728 OC/AR, PICT 32064 and PICT 00426, Universidad de Buenos Aires (EX 321 and EX 201), CONICET PIP 5122 to B.O.S., C.B. and J.C.V. Travel from Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires to INRA-Orleans of B.O.S. and J.C.V. was supported by project II-0266-FA (GEMA, Genética de la Madera), coordinated by Ph. Rozenberg, and Fundación para Investigaciones Biológicas Aplicadas (FIBA).

⁶ Author for correspondence (e-mail: cecib{at}ege.fcen.uba.ar)

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