A Framework for Estimating Age and Growth Using Sibship Relationships Inferred From Genomic Data

Pedigree reconstruction based on genomics data offers a novel approach for estimating age and growth in wild populations. However, frameworks that use reconstructed pedigrees to parameterize growth models have not been available. We developed a sibship age and growth framework and evaluated the approach using simulation and an empirical application to sea lamprey (Petromyzon marinus) age and growth analysis. Simulation research revealed that the framework may be widely applicable to semelparous fishes. Applicability to iteroparous fishes was constrained to scenarios in which the percentage of multi-age sibling groups was low. Age assignment using the framework was unbiased for sibling groups first captured at younger ages. Age assignment for sibling groups first captured at older ages (after growth rate had substantially slowed) was biased low due to the hierarchal approach that we adopted to estimate sibling group age-at-first-capture. However, this did not result in biased growth parameter estimates. Model output allowed for identification of unreliable age assignments. Finally, the empirical application provided evidence that the framework could address knowledge gaps that have been challenging to address with established age and growth methods.