1b:I[76749,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"default"] 1c:I[3486,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"default"] 1d:I[17707,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"default"] 1e:I[66528,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"default"] 1f:I[63176,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"default"] 20:I[87099,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"default"] 21:I[26200,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"Group"] 22:I[23365,["/_next/static/chunks/f9f65a69b09cd00d.js","/_next/static/chunks/9eb9407f86736509.js","/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/6af410c30a6e487c.js","/_next/static/chunks/7b0c6d6708b86694.js","/_next/static/chunks/a6aa8792f25d4277.js","/_next/static/chunks/2060b26370dc6c0a.js"],"default"] 23:T403,A new method is developed to estimate the contemporary effective population size (N_e ) from linkage disequilibrium (LD) between SNPs without information on their location, which is the usual scenario in non-model species. The general theory of linkage disequilibrium is extended to include the contribution of full-sibs to the measure of LD, leading naturally to the estimation of N_e in monogamous and polygamous mating systems, as well as in multiparous species, and with non-random distributions of full-sib family size due to selection or other causes. Prediction of confidence intervals for N_e estimates was solved using a small artificial neural network trained on a dataset of over 10⁵ simulation results. The method, implemented in a user-friendly and fast software (currentNe), is able to estimate N_e even in problematic scenarios with large population sizes or small sample sizes and provides confidence intervals that are more consistent than resampling methods.

Carlos Köpke

Publications