Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Melissa L. Fangmeier"'
Autor:
Takuji Usui, Daniel W.A. Noble, Rose E. O’Dea, Melissa L. Fangmeier, Malgorzata Lagisz, Daniel Hesselson, Shinichi Nakagawa
Publikováno v:
PeerJ, Vol 6, p e4292 (2018)
Zebrafish are increasingly used as a vertebrate model organism for various traits including swimming performance, obesity and metabolism, necessitating high-throughput protocols to generate standardized phenotypic information. Here, we propose a nove
Externí odkaz:
https://doaj.org/article/bb2115986ba24015adc9b3632ef716df
Publikováno v:
Zoo biologyREFERENCES. 39(1)
The relationship between inadequate foraging opportunities and the expression of oral repetitive behaviors has been well documented in many production animal species. However, this relationship has been less-well examined in zoo-housed animals, parti
Autor:
Rose E. O'Dea, Takuji Usui, Malgorzata Lagisz, Daniel Hesselson, Melissa L. Fangmeier, Daniel W. A. Noble, Shinichi Nakagawa
Publikováno v:
Zebrafish. 15(2)
An emergent field of animal personality necessitates a method for repeated high-throughput quantification of behavioral traits across contexts. In this study, we have developed an automated video stimulus approach to sequentially present different co
Autor:
Melissa L. Fangmeier, Rose E. O'Dea, Takuji Usui, Daniel Hesselson, Malgorzata Lagisz, Shinichi Nakagawa, Daniel W. A. Noble
Publikováno v:
PeerJ, Vol 6, p e4292 (2018)
Zebrafish are increasingly used as a vertebrate model organism for various traits including swimming performance, obesity and metabolism, necessitating high-throughput protocols to generate standardized phenotypic information. Here, we propose a nove
Autor:
Takuji, Usui, Daniel W A, Noble, Rose E, O'Dea, Melissa L, Fangmeier, Malgorzata, Lagisz, Daniel, Hesselson, Shinichi, Nakagawa
Publikováno v:
PeerJ
Zebrafish are increasingly used as a vertebrate model organism for various traits including swimming performance, obesity and metabolism, necessitating high-throughput protocols to generate standardized phenotypic information. Here, we propose a nove