2006
DOI: 10.1534/genetics.105.046805
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Using Genetic Markers to Directly Estimate Gene Flow and Reproductive Success Parameters in Plants on the Basis of Naturally Regenerated Seedlings

Abstract: Estimating seed and pollen gene flow in plants on the basis of samples of naturally regenerated seedlings can provide much needed information about ''realized gene flow,'' but seems to be one of the greatest challenges in plant population biology. Traditional parentage methods, because of their inability to discriminate between male and female parentage of seedlings, unless supported by uniparentally inherited markers, are not capable of precisely describing seed and pollen aspects of gene flow realized in see… Show more

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Cited by 111 publications
(173 citation statements)
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“…Using this approach in Quercus suber, Ramirez-Valiente et al (2011) detected significant heritability but nonsignificant selection gradient for carbon isotope discrimination, contrasting with very low heritability and significant selection gradient for specific leaf area. An alternative approach of selection gradients through the assessment of actual reproductive success in situ was recently developed (Oddou-Muratorio et al 2005;Burczyk et al 2006;Klein et al 2011). This method, based on the mixed-mating neighbourhood model, consists in estimating the reproductive success of individual adult trees using spatial genetic data of seedlings and their potential parents and then in relating this reproductive success to phenotypic traits.…”
Section: What Is New In Molecular and Phenotypic Tools?mentioning
confidence: 99%
“…Using this approach in Quercus suber, Ramirez-Valiente et al (2011) detected significant heritability but nonsignificant selection gradient for carbon isotope discrimination, contrasting with very low heritability and significant selection gradient for specific leaf area. An alternative approach of selection gradients through the assessment of actual reproductive success in situ was recently developed (Oddou-Muratorio et al 2005;Burczyk et al 2006;Klein et al 2011). This method, based on the mixed-mating neighbourhood model, consists in estimating the reproductive success of individual adult trees using spatial genetic data of seedlings and their potential parents and then in relating this reproductive success to phenotypic traits.…”
Section: What Is New In Molecular and Phenotypic Tools?mentioning
confidence: 99%
“…In order to analyze our data, we used a slightly modified model developed by Burczyk et al (2006). In our analysis all individuals within a network can be encapsulated in a unique neighborhood (Oddou-Muratorio and Klein, 2008).…”
Section: Spatially Explicit Mating Modelmentioning
confidence: 99%
“…While previous methods performed parentage analysis and dispersal kernel estimates sequentially, recent methods allow joint parentage analysis and dispersal kernel estimation, which significantly improves statistical performance (Hadfield et al, 2006). The spatially explicit mating model (hereafter, SEMM) allows seed and pollen immigration rates from an unknown source to be estimated within a unique statistical framework and seed and pollen kernel dispersal (including self-fertilization) from viable established seedlings and potential parents to be fitted (Burczyk et al, 2006;Oddou-Muratorio and Klein, 2008). This method based on viable seedlings provides effective dispersal estimates that include all processes acting between dispersal and recruitment.…”
Section: Introductionmentioning
confidence: 99%
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“…Parentage studies also can be used to estimate reproductive success among potential parents (Smouse and Meagher 1994) and parameters such as the effective number of breeders within a population (Fiumera et al 2002), or they can be combined with quantitative genetic analyses to identify quantitative trait loci (QTL) in natural populations (Slate et al 2002) and to estimate heritabilities through analysis of wild-caught females and their progeny (King et al 2001). Parentage studies can also be applied to address questions relating to gene flow and dispersal (Burczyk et al 2006).…”
mentioning
confidence: 99%