Linked Life Data

12964977

Source:http://linkedlifedata.com/resource/pubmed/id/12964977

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1526
pubmed:dateCreated
2003-9-10
pubmed:abstractText
Ewes of the domestic sheep ( Ovis aries ) display selective maternal investment by restricting care to their own offspring and rejecting alien young. This trait relies on individual recognition processes between ewes and lambs. Whereas identification at the udder is only olfactory, distance recognition is performed through visual and acoustic cues. We studied the effectiveness and modalities of mutual acoustic recognition between ewes and lambs by spectrographic analysis of their vocal signatures and by playbacks of modified calls in the field. Our results show that ewes and their lambs can recognize each other based solely on their calls. The coding of identity within the vocal signatures, previously unknown in sheep, is similar in lamb and ewe: it uses the mean frequency and the spectral energy distribution of the call, namely the timbre of the call. These results point out a simple signature system in sheep that uses only the frequency domain. This engenders a signal with low information content, as opposed to some highly social birds and mammal species that may integrate information both in the temporal and spectral domains. The simplicity of this system is linked to the roles played by vision and olfaction that corroborate the information brought by the vocal signature.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0962-8452
pubmed:author
pubmed:issnType
Print
pubmed:day
7
pubmed:volume
270
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1765-71
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Mother-lamb acoustic recognition in sheep: a frequency coding.
pubmed:affiliation
Behavioural Ecology Group, CEFE-CNRS, 1919 Route de Mende, F-34293 Montpellier Cedex 5, France. amanda.searby@cefe.cnrs-mop.fr
pubmed:publicationType
Journal Article