Took me a year (😱), but I finally published a blog post about our article on the #quantgen variance partition of phenitypic plasticity with @lmchev, published in @PeerCommunityJournal

🇬🇧 https://devillemereuil.legtux.org/quantitative-genetics-of-reaction-norms-an-onion-partitionning/
🇫🇷 https://devillemereuil.legtux.org/fr/genetique-quantitative-des-normes-de-reactions-une-partition-en-oignon/

As I mention in the end, we decided to support the @PeerCommunityIn initiative, but it does mean that some people not monitoring this part of scientific publishing might miss our paper.

So, if you find it interesting, please share the word! 🙏

Quantitative genetics of reaction norms: an onion partitionning – Pierre de Villemereuil

Also, do not forget to check out our #rstats Reacnorm package implementing our whole framework, with a nice tutorial included:
https://cran.r-project.org/package=Reacnorm
Reacnorm: Perform a Partition of Variance of Reaction Norms

Partitions the phenotypic variance of a plastic trait, studied through its reaction norm. The variance partition distinguishes between the variance arising from the average shape of the reaction norms (V_Plas) and the (additive) genetic variance . The latter is itself separated into an environment-blind component (V_G/V_A) and the component arising from plasticity (V_GxE/V_AxE). The package also provides a way to further partition V_Plas into aspects (slope/curvature) of the shape of the average reaction norm (pi-decomposition) and partition V_Add (gamma-decomposition) and V_AxE (iota-decomposition) into the impact of genetic variation in the reaction norm parameters. Reference: de Villemereuil & Chevin (2025) <<a href="https://doi.org/10.32942%2FX2NC8B" target="_top">doi:10.32942/X2NC8B</a>>.