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1 enetic diversity supporting the existence of random mating.
2 eters without iteration and without assuming random mating.
3  are used in such cases, all of which assume random mating.
4  second was derived from five generations of random mating.
5  number of offspring weaned, of 0.32 against random mating.
6 on rate as opposed to a decrease found under random mating.
7 then adapted to account for the genetics and random mating.
8 ctive size (N(e)) of a diploid species under random mating.
9 on theory derived for populations undergoing random mating.
10 thout assuming Hardy-Weinberg equilibrium or random mating.
11  somewhat lower with assortative rather than random mating.
12 c models in population genetics often assume random mating.
13 fferences in mortality, reproduction and non-random mating.
14                   Our final example involves random mating among eight strains and vividly demonstrat
15                    Given model parameters of random mating and founding queens mating with three male
16 y high, possibly because of a combination of random mating and high variance in post-copulatory repro
17 parum in an Anopheles mosquito with unbiased random mating and incomplete fertilization is used to in
18  and migration), as well as special cases of random mating and migration subsumed under the general m
19 be achieved either by allowing some level of random mating and some role of natural selection in dete
20 generation 70, followed by 10 generations of random mating and the derivation of 500 lines by selfing
21                                              Random-mating and assortative-mating samples were genera
22 stion the validity of simple models based on random mating, and emphasize the need for more empirical
23 on showed that relatively few generations of random mating are required for md to approach 1 (indicat
24         When the two strains were crossed in random mating between the two populations, significant d
25  are largely explained by an accumulation of random matings, but that intrasexual competition may slo
26                                  Barriers to random mating can be ecologically extreme, such as the S
27                   Multiple mechanisms of non-random mating can interact so that trait co-evolution en
28                                  Conversely, random mating can reverse corresponding hypermethylation
29                                              Random-mating designs with variance in offspring number
30 ssed equilibrium, nearly equal to that under random mating, for all selfing rates, r, up to critical
31                         Inferences regarding random mating, gene flow, effective population sizes, di
32 d: Is population structure consistent with a random mating hypothesis?
33                                         With random mating, if selected family sizes are assumed to b
34 irect and direct measures of departures from random mating in a population of the plant pathogenic fu
35   The admixed populations were maintained by random mating in discrete generations for over 20 genera
36 anizations and reproductive modes, from near-random mating in protandry, to aggregate- and harem-spaw
37  population, and have found that if there is random mating in the admixed population, then typically
38                  The degree to which the non-random mating influences genetic architecture remains un
39 g mechanisms" is flawed, because intra-group random mating is assumed.
40                Understanding patterns of non-random mating is central to predicting the consequences
41                        One assumption behind random mating is that individuals mate an infinite numbe
42                                              Random mating is the null model central to population ge
43 it co-evolution enables the evolution of non-random mating mechanisms that would not evolve alone.
44                                 However, the random mating model ignores essential aspects of populat
45 ons also indicate that direct application of random mating models to partially selfing populations ca
46 escent arises as a limit of a large class of random mating models, and it is an accurate approximatio
47 s that can be used to simulate arbitrary non-random mating models.
48           We consider two standard models of random mating, namely the Wright-Fisher (WF) and Moran m
49 port that after nine generations of enforced random mating (nine episodes of recombination), correlat
50 locus with two alleles, under assumptions of random mating, no drift and no mutation.
51  in birds is often lower than expected under random mating or monogamy.
52 ith seed or pollen migration alone, complete random mating or selfing, or migrant pollen and seeds la
53 ain a genetic structure more consistent with random-mating over the course of an epidemic cycle.
54 are closer to each other than expected under random mating (p < 10(-6)).
55 rmuda) showed marked deviation from expected random mating patterns (within and among loci), frequent
56 es remain constant after a single episode of random mating, polyploids, characterized by polysomic in
57 f a simulated coalescent describing a single random mating population with mutation, random genetic d
58 ver, make the critical assumption of a large random mating population without genetic structures.
59 ntially slowed relative to predictions for a random mating population.
60 tatistical properties of a DNA sample from a random-mating population of constant size are studied un
61 ht-Fisher (WF) model, which assumes a single random-mating population with a finite and constant popu
62 on increases to a high frequency in a single random-mating population, which is certainly violated in
63 gametic linkage disequilibrium defined for a random-mating population, zygotic disequilibrium describ
64 ptions of a single-locus disease trait and a random-mating population.
65                                           In random mating populations, the fate of mitochondrial mut
66 ons play an important role in studies of non-random mating populations.
67 robabilities of identity-by-descent (IBD) in random-mating populations for a few loci (up to four or
68                                          Non-random mating provides multiple evolutionary benefits an
69  approximately equals the mean fitness under random mating relative to that under complete selfing.
70 ean populations with a fixed sex ratio and a random mating scheme to assess the probability of detect
71 difficulties, only very limited types of non-random mating schemes are provided in the currently avai
72       We consider multiple mechanisms of non-random mating simultaneously within a unified modelling
73 extensive linkage disequilibrium relative to random-mating species.
74  equilibrium, classical concepts that assume random mating, such as the average effect of an allele a
75 tions were very close to those expected from random mating, suggesting strong negative-assortative ma
76  more frequently than would be expected in a random mating system.
77 pulations with selfing, full-sib mating, and random mating, using empirical estimates of mutation par
78                                     Assuming random mating, we study analytically the effects of popu
79  and equal frequencies of mating types under random mating were detected in some studied populations
80                     After 100 generations of random mating with N(e) of 50, 100, or 200, SNP genotype
81 ere age influences reproductive success, non-random mating with respect to age can magnify or mitigat
82          There was a distinct departure from random mating, with over half the successful pollen orig