Data and scripts for: Quantitative assessment of observed vs. predicted responses to selection

Christophe Pelabon, Elena Albertsen, Arnaud Le Rouzic, Cyril Firmat, Geir H. Bolstad, W. Scott Armbruster & Thomas Hansen
Although artificial-selection experiments seem well suited to testing our ability to predict evolution, the correspondence between predicted and observed responses is often ambiguous due to the lack of uncertainty estimates. We present equations for assessing prediction error in direct and indirect responses to selection that integrate uncertainty in genetic parameters used for prediction and sampling effects during selection. Using these, we analyzed a selection experiment on floral traits replicated in two taxa of the Dalechampia...
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1 download reported since publication in 2021.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?