000892949 001__ 892949
000892949 005__ 20210810182023.0
000892949 0247_ $$2doi$$a10.1159/000516787
000892949 0247_ $$2ISSN$$a0006-8977
000892949 0247_ $$2ISSN$$a1421-9743
000892949 0247_ $$2Handle$$a2128/28170
000892949 0247_ $$2altmetric$$aaltmetric:107147283
000892949 0247_ $$2pmid$$a34044402
000892949 0247_ $$2WOS$$aWOS:000657403900001
000892949 037__ $$aFZJ-2021-02448
000892949 082__ $$a610
000892949 1001_ $$0P:(DE-HGF)0$$aMehlhorn, Julia$$b0
000892949 245__ $$aThe Effects of Domestication on the Brain and Behavior of the Chicken in the Light of Evolution
000892949 260__ $$aBasel$$bKarger$$c2021
000892949 3367_ $$2DRIVER$$aarticle
000892949 3367_ $$2DataCite$$aOutput Types/Journal article
000892949 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1626180900_14726
000892949 3367_ $$2BibTeX$$aARTICLE
000892949 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000892949 3367_ $$00$$2EndNote$$aJournal Article
000892949 520__ $$aThe avian class is characterized by particularly strong variability in their domesticated species. With more than 250 breeds and highly efficient commercial lines, domestic chickens represent the outcome of a really long period of artificial selection. One characteristic of domestication is the alterations in brain size and brain composition. The influence of domestication on brain morphology has been reviewed in the past, but mostly with a focus on mammals. Studies on avian species have seldom been taken into account. In this review, we would like to give an overview about the changes and variations in (brain) morphology and behavior in the domestic chicken, taking into consideration the constraints of evolutionary theory and the sense or nonsense of excessive artificial selection. 
000892949 536__ $$0G:(DE-HGF)POF4-525$$a525 - Decoding Brain Organization and Dysfunction (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000892949 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000892949 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b1$$eCorresponding author
000892949 773__ $$0PERI:(DE-600)1482032-8$$a10.1159/000516787$$gp. 1 - 15$$p287 - 301$$tBrain, behavior and evolution$$v95$$x1421-9743$$y2021
000892949 8564_ $$uhttps://juser.fz-juelich.de/record/892949/files/516787.pdf$$yOpenAccess
000892949 909CO $$ooai:juser.fz-juelich.de:892949$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000892949 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131675$$aForschungszentrum Jülich$$b1$$kFZJ
000892949 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000892949 9130_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
000892949 9141_ $$y2021
000892949 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000892949 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bBRAIN BEHAV EVOLUT : 2019$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000892949 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0410$$2StatID$$aAllianz-Lizenz$$d2021-02-02$$wger
000892949 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2021-02-02
000892949 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2021-02-02$$wger
000892949 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-02-02
000892949 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000892949 980__ $$ajournal
000892949 980__ $$aVDB
000892949 980__ $$aUNRESTRICTED
000892949 980__ $$aI:(DE-Juel1)INM-1-20090406
000892949 9801_ $$aFullTexts