| dc.contributor.author | Morimoto, Juliano | |
| dc.date.accessioned | 2022-09-08T11:11:01Z | |
| dc.date.available | 2022-09-08T11:11:01Z | |
| dc.date.issued | 2022-08 | |
| dc.identifier.citation | Morimoto , J 2022 , ' Nutrigonometry II : Experimental strategies to maximize nutritional information in multidimensional performance landscapes ' , Ecology and Evolution , vol. 12 , no. 8 , e9174 . https://doi.org/10.1002/ece3.9174 | en |
| dc.identifier.issn | 2045-7758 | |
| dc.identifier.other | PURE: 218948485 | |
| dc.identifier.other | PURE UUID: e73a5631-bdee-4db5-8e4c-8e5a7b96ff26 | |
| dc.identifier.other | PubMed: 35949523 | |
| dc.identifier.other | PubMedCentral: PMC9353123 | |
| dc.identifier.other | Scopus: 85136859724 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19152 | |
| dc.description | ACKNOWLEDGMENTS The author thank the Riemann Center for Geometry and Physics for the award of the Riemann Fellowship. | en |
| dc.format.extent | 11 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Ecology and Evolution | en |
| dc.rights | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | QH301 Biology | en |
| dc.subject.lcc | QH301 | en |
| dc.title | Nutrigonometry II : Experimental strategies to maximize nutritional information in multidimensional performance landscapes | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Publisher PDF | en |
| dc.identifier.doi | https://doi.org/10.1002/ece3.9174 | |
| dc.identifier.vol | 12 | en |
| dc.identifier.iss | 8 | en |
