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2篇 您的检索式:作者名="Alexander Hellquist"
    题名 作者 年代 出处 被引量
1Taxonomic status of grey-headed Yellow Wagtails breeding in western China显示文摘Background:Field studies from 2011 onwards have demonstrated the presence of a breeding population of Yellow Wagtails(Motacilla flava)in the Xinjiang Uygur Autonomous Region,China that is phenotypically distinct from known subspecies occurring in Asia.Here we describe the plumages and vocalisations of this population and discuss its taxonomic status.Methods:The analysis of plumage is based on field studies and photos available online.Recordings of vocalisations are compared with recordings from other Yellow Wagtail populations,and differences are analysed based on sonograms.Mitochondrial DNA from one individual is compared to other Yellow Wagtail taxa.Results:Unlike M.flava subspecies breeding in or near Xinjiang,males in the studied population show a blue-grey head without prominent white supercilium,being most similar to the widely disjunct M.f.cinereocapilla.They differ from the similarly widely allopatric M.f.thunbergi,which might occur as a migrant or vagrant in Xinjiang,by on average cleaner yellow breast and more extensive white on the throat,and from the widely disjunct M.f.plexa and M.f.macronyx,which might also occur on migration in that area,by softer contact calls and slower pace of song.Females are similar to female M.f.feldegg in plumage.The mitochondrial ND2 tree shows the single sample from Xinjiang to be nested in the clade of western Yellow Wagtail taxa.Conclusion:We discuss whether the Xinjiang breeding population could represent an intergrade between subspecies breeding nearby,or whether it is better regarded as a separate as yet unrecognized subspecies.We argue that the localization of its apparent range in relation to other subspecies along with fairly consistent male and female plumages suggest that it is more likely to represent an undescribed taxon,but conclude that more research is needed to firmly establish its status.Alexander Hellquist Fredrik Friberg Petter Haldén Peter Schmidt Ming Ma Gou Jun Urban Olsson Per Alström 2021Avian Research2021,12,4:0
2A crowd-sourced genomic project to assess hybrid content in a rare avian vagrant(Azure Tit Cyanistes cyanus(Pallas,1770))显示文摘The aim of this study was to correlate plumage variation with the amount of genomic hybrid content in hybrids between Azure Tits Cyanistes cyanus(Pallas,1770)and European Blue Tit Cyanistes caeruleus(Linnaeus,1758),by re-sequencing the genomes of museum specimens of non-hybrids and presumed hybrids with varying plumages.The project was funded by crowdsourcing and initiated when two presumed Azure Tits,observed by hundreds of Swedish birdwatchers,were rejected as hybrids based on minor plumage deviations assumed to indicate hybrid contents from the European Blue Tit.The results confirm that hybrids with intermediate plumages,so called Pleske’s Tits,are first generation hybrids(F1 hybrids).Individuals,whose plumages are similar to Azure Tits,but assessed as hybrids based on minor plumage deviations,are all backcrosses but vary in their degree of hybrid content.However,some individuals morphologically recognized as pure Azure Tits expressed similar degrees of hybrid content.The results indicate that:(1)hybrid content may be widespread in Azure Tits in the western part of its habitat distribution;(2)plumage deviation in backcrosses is not linearly correlated with the genetic degree of hybrid origin;and(3)all Azure Tits observed in Europe outside its natural distribution may have some degree of hybrid origin.We therefore suggest that it is very difficult to phenotypically single out hybrids beyond first generation backcrosses.We argue that decreased sequencing costs and improved analytical tools open the doors for museomic crowd-sourced projects that may not address outstanding biological questions but have a major interest for lay citizens such as birdwatchers.Martin Irestedt Filip Thorn Per G.P.Ericson Hein van Grouw Yaroslav A.Red'kin Alexander Hellquist Frank Johansson Johan A.A.Nylander 2023Avian Research2023,14,4:0
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