Inbreeding depression is difficult to purge in self‐incompatible populations of <i>Leavenworthia alabamica</i> is a research paper published in New Phytologist (2019). On theSindex it has a DataRank of 0.970. It has been cited 26 times, with 23 citing works in its 1-hop citation network.
Summary The extent to which inbreeding depression can be purged is a major determinant of mating system evolution and is important to conservation and crop improvement. Studies of inbreeding depression purging have not been conducted in self‐incompatible plants before. An experimental (‘ancestral’) treatment was first created from self‐incompatible plants of Leavenworthia alabamica. Lines derived from this population were maintained by self‐pollination for three generations in the attempt to create a ‘purged’ population with fewer recessive, deleterious mutations of large effect. Fitness components and the frequency of malformed phenotypes were monitored in progeny derived from selfing and outcrossing in the ancestral and purged treatments. Fitness component means and inbreeding depression were largely unchanged by three generations of forced self‐pollination, and there was no reduction in the frequency of plants exhibiting malformed phenotypes. Our findings indicate that inbreeding depression in this species is largely a result of mutations of mild effect, consistent with the observation that self‐incompatibility is maintained in most populations of L. alabamica, despite the presence of genetic variants with weaker self‐incompatibility. Moreover, although population theory suggests that deleterious mutations of large effect should be sheltered from selection in the region of self‐incompatibility locus, our results do not support this prediction.
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Base Score Contribution
0.494
From this paper's citation signal
Citation Network Contribution
0.476
From 21 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 51% comes from its base citations and 49% from the citation network (21 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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