Predicting nutrient content of ray-finned fishes using phylogenetic information

oleh: Bapu Vaitla, David Collar, Matthew R. Smith, Samuel S. Myers, Benjamin L. Rice, Christopher D. Golden

Format: Article
Diterbitkan: Nature Portfolio 2018-09-01

Deskripsi

Humans increasingly depend on seafood for nutrition, but nutrient content is unknown for the vast majority of fish species. Here, the authors use phylogenetic analyses and data imputation to predict the nutrient content of fish that are under-studied but that could be of future dietary importance.