Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1177497
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLEMOS, C. G.
dc.contributor.authorGARCIA, B. F.
dc.contributor.authorSILVA FILHO, M. S.
dc.contributor.authorARANGO, J. A. R.
dc.contributor.authorBUTZGE, A. J.
dc.contributor.authorSHIOTSUKI, L.
dc.contributor.authorFREITAS, L. E. L.
dc.contributor.authorREZENDE, F. P.
dc.contributor.authorURBINATI, E. C.
dc.contributor.authorROSA, G. J. M.
dc.contributor.authorHASHIMOTO, D. T.
dc.date.accessioned2025-07-25T12:47:54Z-
dc.date.available2025-07-25T12:47:54Z-
dc.date.created2025-07-25
dc.date.issued2025
dc.identifier.citationIn: INTERNATIONAL SYMPOSIUM ON GENETICS IN AQUACULTURE, 25., 2025, Cádiz. Abstracts book. Cádiz: Universidad de Cádiz, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1177497-
dc.descriptionThe tambaqui (Colossoma macropomum) exhibits countershading, a skin coloration patter that may vary in response to stress through morphological and physiological mechanisms. This study investigated countershading variations under different environmental conditions, assessing their relationship with stress responses.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCountershading
dc.subjectBreeding programs
dc.titleDeep learning approach for genetic selection of stress response in the Amazon fish Colossoma macropomum.
dc.typeResumo em anais e proceedings
dc.subject.thesagroTambaqui
dc.subject.thesagroColossoma Macropomum
dc.subject.thesagroSeleção Genética
dc.subject.thesagroMelhoramento
dc.subject.nalthesaurusComputer vision
dc.subject.nalthesaurusStress response
dc.subject.nalthesaurusBreeding
dc.description.notesISGA XV.
riaa.ainfo.id1177497
riaa.ainfo.lastupdate2025-07-25
dc.contributor.institutionCELMA G. LEMOS, UNIVERSIDADE ESTADUAL PAULISTA; BALTASAR F. GARCIA, UNIVERSIDADE ESTADUAL PAULISTA; MARCELO S. SILVA FILHO, UNIVERSIDADE ESTADUAL PAULISTA; JAIRO A. R. ARANGO, UNIVERSIDADE ESTADUAL PAULISTA; ARNO J. BUTZGE, UNIVERSIDADE ESTADUAL PAULISTA; LUCIANA SHIOTSUKI, CNPASA; LUIZ EDUARDO LIMA DE FREITAS, CNPASA; FABRICIO PEREIRA REZENDE, CNPASA; ELISABETH C. URBINATI, UNIVERSIDADE ESTADUAL PAULISTA; GUILHERME J. M. ROSA, UNIVESITY OF WISCONSIN; DIOGO T. HASHIMOTO, UNIVERSIDADE ESTADUAL PAULISTA.
Appears in Collections:Resumo em anais de congresso (CNPASA)

Files in This Item:
File Description SizeFormat 
deep-learning-colossoma-macropomum-2025.pdf1,64 MBAdobe PDFThumbnail
View/Open

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace