2013
DOI: 10.1093/aob/mct131
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Seeing the forest through the trees: comprehensive inference on individual mating patterns in a mixed stand of Quercus robur and Q. petraea

Abstract: Mating patterns can reveal great variation among individuals, even within a single even-age stand. The results show that trees can mate assortatively, with little respect for spatial proximity. Such selective mating may be a result of variable combining compatibility among trees due to genetic and/or environmental factors.

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Cited by 35 publications
(64 citation statements)
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“…Dioecious plant species analyzed by the authors had on average 6-fold higher SGS than monoecious species. According to theoretical considerations and empirical studies, seed dispersal range has a predominant impact on building SGS in natural populations (Vekemans and Hardy 2004;Heuertz et al 2003;Chybicki and Burczyk 2013). In dioecious species, the number of seed sources is half in compared to monoecious species.…”
Section: Communicated By P Ingvarssonmentioning
confidence: 99%
“…Dioecious plant species analyzed by the authors had on average 6-fold higher SGS than monoecious species. According to theoretical considerations and empirical studies, seed dispersal range has a predominant impact on building SGS in natural populations (Vekemans and Hardy 2004;Heuertz et al 2003;Chybicki and Burczyk 2013). In dioecious species, the number of seed sources is half in compared to monoecious species.…”
Section: Communicated By P Ingvarssonmentioning
confidence: 99%
“…To estimate the regression parameters, we adopted the Bayesian approach developed recently as a framework to model plant mating systems (Chybicki 2013;Chybicki and Burczyk 2013). The approach is generally based on the (mixed mating) probability model, similar to that used in MLTR, in which the probability of the multilocus genotype O ij of the j−th offspring in the i−th maternal family is as follows:…”
Section: Analysis Of Outcrossing Ratesmentioning
confidence: 99%
“…The elements X ij in X equaled 1 or 0 if the j−th seed in the i−th family was produced through outcrossing or selfing, respectively. The auxiliary variables are normally unknown, but they can be inferred from data given t and P, using a Bernoulli scheme described in detail in Chybicki (2013) and Chybicki and Burczyk (2013). Here, we only stress that, in a consequence of the algorithm, P was estimated simultaneously with the remaining parameters (as in MLTR software).…”
Section: Analysis Of Outcrossing Ratesmentioning
confidence: 99%
“…Because most segregating molecular variants used in population genetics are selectively neutral (e.g., [23], pp. [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47], population genetic diversity and differentiation for neutral markers are not prone to be modified by selection compared to adaptive genes (e.g., [24]). Genome-wide diversity and differentiation, nevertheless, may be affected in case of selection against inbred genotypes in a population which declines in size.…”
Section: The Foundation: Basics Of Population Geneticsmentioning
confidence: 99%
“…In recent years, paternity studies proliferated and underlying methods have been refined ( [30,39,40]). For instance, the initial approach of Burczyk et al [33] (the neighbourhood model) has been extended to allow the estimation of both pollen and seed dispersal, as well as individual mating patterns and thus fecundities [41]. Apart from the mere estimation of dispersal distances, these new methods allow quantifying the variation of dispersal kernels of individuals and populations, and determining the most important ecological factors contributing to this variation.…”
Section: Gene Flowmentioning
confidence: 99%