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. 2013 Sep 4;3(11):3647–3662. doi: 10.1002/ece3.722

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© 2013 Published by John Wiley & Sons Ltd

Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

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Parameter estimation under the “Decreasing Migration” model with 7 loci is imprecise but improves with additional loci. Results with simulated data (7 () and 200 () loci) and tomato loci ( with FSM, with ISM) with the “Decreasing Migration” model with seven parameters. In the case of 7 loci, when τ_m is estimated to be >15 (), parameter estimates are particularly imprecise. (D) Further, τ₀ is never estimated to be greater than ≍0.7, a behavior that does not occur when 200 loci are used. (F) The divergence time τ is calculated by τ₀+τ_m and is more precisely estimated than τ₀ and τ_m separately. (I) In the 200 loci case, if τ₀ is not calculated correctly the estimates of τ₀ and τ_m correlate negatively such that their sum equals the divergence time τ again.

Inline graphic — Parameter estimation under the “Decreasing Migration” model with 7 loci is imprecise but improves with additional loci. Results with simulated data (7 () and 200 () loci) and tomato loci ( with FSM, with ISM) with the “Decreasing Migration” model with seven parameters. In the case of 7 loci, when τ_m is estimated to be >15 (), parameter estimates are particularly imprecise. (D) Further, τ₀ is never estimated to be greater than ≍0.7, a behavior that does not occur when 200 loci are used. (F) The divergence time τ is calculated by τ₀+τ_m and is more precisely estimated than τ₀ and τ_m separately. (I) In the 200 loci case, if τ₀ is not calculated correctly the estimates of τ₀ and τ_m correlate negatively such that their sum equals the divergence time τ again.