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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 |
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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.