Simianer, Henner

[["dc.bibliographiccitation.firstpage","177"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","G3: Genes, Genomes, Genetics"],["dc.bibliographiccitation.lastpage","188"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Pook, Torsten"],["dc.contributor.author","Mayer, Manfred"],["dc.contributor.author","Geibel, Johannes"],["dc.contributor.author","Weigend, Steffen"],["dc.contributor.author","Cavero, David"],["dc.contributor.author","Schoen, Chris C."],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2020-12-10T18:42:41Z"],["dc.date.available","2020-12-10T18:42:41Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1534/g3.119.400798"],["dc.identifier.eissn","2160-1836"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78047"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Improving Imputation Quality in BEAGLE for Crop and Livestock Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","615"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Animal Genetics"],["dc.bibliographiccitation.lastpage","622"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Muchadeyi, F. C."],["dc.contributor.author","Eding, H."],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Wollny, Clemens B. A."],["dc.contributor.author","Groeneveld, Eildert"],["dc.contributor.author","Weigend, Steffen"],["dc.date.accessioned","2018-11-07T11:08:18Z"],["dc.date.available","2018-11-07T11:08:18Z"],["dc.date.issued","2008"],["dc.description.abstract","This study sought to assess mitochondrial DNA (mtDNA) diversity and phylogeographic structure of chickens from five agro-ecological zones of Zimbabwe. Furthermore, chickens from Zimbabwe were compared with populations from other geographical regions (Malawi, Sudan and Germany) and other management systems (broiler and layer purebred lines). Finally, haplotypes of these animals were aligned to chicken sequences, taken from GenBank, that reflected populations of presumed centres of domestication. A 455-bp fragment of the mtDNA D-loop region was sequenced in 283 chickens of 14 populations. Thirty-two variable sites that defined 34 haplotypes were observed. In Zimbabwean chickens, diversity within ecotypes accounted for 96.8% of the variation, indicating little differentiation between ecotypes. The 34 haplotypes clustered into three clades that corresponded to (i) Zimbabwean and Malawian chickens, (ii) broiler and layer purebred lines and Northwest European chickens, and (iii) a mixture of chickens from Zimbabwe, Sudan, Northwest Europe and the purebred lines. Diversity among clades explained more than 80% of the total variation. Results indicated the existence of two distinct maternal lineages evenly distributed among the five Zimbabwean chicken ecotypes. For one of these lineages, chickens from Zimbabwe and Malawi shared major haplotypes with chicken populations that have a Southeast Asian background. The second maternal lineage, probably from the Indian subcontinent, was common to the five Zimbabwean chicken ecotypes, Sudanese and Northwest European chickens as well as purebred broiler and layer chicken lines. A third maternal lineage excluded Zimbabwean and other African chickens and clustered with haplotypes presumably originating from South China."],["dc.description.sponsorship","Katholischer Akademischer Auslander-Dienst (KAAD); Schaumann Stiftung"],["dc.identifier.doi","10.1111/j.1365-2052.2008.01785.x"],["dc.identifier.isi","000261051800005"],["dc.identifier.pmid","19032252"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/52740"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell Publishing, Inc"],["dc.relation.issn","0268-9146"],["dc.title","Mitochondrial DNA D-loop sequences suggest a Southeast Asian and Indian origin of Zimbabwean village chickens"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","332"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Animal Genetics"],["dc.bibliographiccitation.lastpage","339"],["dc.bibliographiccitation.volume","38"],["dc.contributor.author","Muchadeyi, F. C."],["dc.contributor.author","Eding, H."],["dc.contributor.author","Wollny, Clemens B. A."],["dc.contributor.author","Groeneveld, Eildert"],["dc.contributor.author","Makuza, S. M."],["dc.contributor.author","Shamseldin, R."],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Weigend, Steffen"],["dc.date.accessioned","2018-11-07T10:59:44Z"],["dc.date.available","2018-11-07T10:59:44Z"],["dc.date.issued","2007"],["dc.description.abstract","The objective of this study was to investigate the population structure of village chickens found in the five agro-ecological zones of Zimbabwe. Twenty-nine microsatellites were genotyped for chickens randomly selected from 13 populations, including the five eco-zones of Zimbabwe (n = 238), Malawi (n = 60), Sudan (n = 48) and six purebred lines (n = 180). A total of 280 alleles were observed in the 13 populations. Forty-eight of these alleles were unique to the Zimbabwe chicken ecotypes. The average number (+/- SD) of alleles/locus was 9.7 +/- 5.10. The overall heterozygote deficiency in the Zimbabwe chickens (F-IT +/- SE) was 0.08 +/- 0.01, over 90% of which was due to within-ecotype deficit (F-IS). Small Nei's standard genetic distances ranging from 0.02 to 0.05 were observed between Zimbabwe ecotypes compared with an average of 0.6 between purebred lines. The structure software program was used to cluster individuals to 2 <= K <= 7 assumed clusters. The most probable clustering was found at K = 6. Ninety-seven of 100 structure runs were identical, in which Malawi, Sudan and purebred lines split out as independent clusters and the five Zimbabwe ecotypes clustered into one population. The within-ecotype marker-estimated kinships (mean = 0.13) differed only slightly from the between-ecotype estimates. Results from this study lead to a rejection of the hypothesis that village chickens are substructured across agro-ecological zones but indicated high genetic diversity within the Zimbabwe chicken population."],["dc.identifier.doi","10.1111/j.1365-2052.2007.01606.x"],["dc.identifier.isi","000248335900002"],["dc.identifier.pmid","17559556"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/50768"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Blackwell Publishing"],["dc.relation.issn","0268-9146"],["dc.title","Absence of population substructuring in Zimbabwe chicken ecotypes inferred using microsatellite analysis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","483"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Animal Genetics"],["dc.bibliographiccitation.lastpage","502"],["dc.bibliographiccitation.volume","43"],["dc.contributor.author","Lenstra, J. A."],["dc.contributor.author","Groeneveld, Linn Fenna"],["dc.contributor.author","Eding, H."],["dc.contributor.author","Kantanen, J."],["dc.contributor.author","Williams, J. L."],["dc.contributor.author","Taberlet, Pierre"],["dc.contributor.author","Nicolazzi, E. L."],["dc.contributor.author","Soelkner, J."],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Ciani, E."],["dc.contributor.author","Garcia, J. F."],["dc.contributor.author","Bruford, M. W."],["dc.contributor.author","Ajmone-Marsan, P."],["dc.contributor.author","Weigend, Steffen"],["dc.date.accessioned","2018-11-07T09:05:38Z"],["dc.date.available","2018-11-07T09:05:38Z"],["dc.date.issued","2012"],["dc.description.abstract","Genetic studies of livestock populations focus on questions of domestication, within- and among-breed diversity, breed history and adaptive variation. In this review, we describe the use of different molecular markers and methods for data analysis used to address these questions. There is a clear trend towards the use of single nucleotide polymorphisms and whole-genome sequence information, the application of Bayesian or Approximate Bayesian analysis and the use of adaptive next to neutral diversity to support decisions on conservation."],["dc.description.sponsorship","European Commission [ResGen 09-118, GlobalDiv Agri Gen Res 067]"],["dc.identifier.doi","10.1111/j.1365-2052.2011.02309.x"],["dc.identifier.isi","000308330200001"],["dc.identifier.pmid","22497351"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/25369"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","0268-9146"],["dc.title","Molecular tools and analytical approaches for the characterization of farm animal genetic diversity"],["dc.type","review"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","419"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Animal Genetics"],["dc.bibliographiccitation.lastpage","428"],["dc.bibliographiccitation.volume","43"],["dc.contributor.author","Gaerke, Christian"],["dc.contributor.author","Ytournel, Florence"],["dc.contributor.author","Bed'hom, B."],["dc.contributor.author","Gut, I."],["dc.contributor.author","Lathrop, Mark"],["dc.contributor.author","Weigend, Steffen"],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2018-11-07T09:08:00Z"],["dc.date.available","2018-11-07T09:08:00Z"],["dc.date.issued","2012"],["dc.description.abstract","Many studies in human genetics compare informativeness of single-nucleotide polymorphisms (SNPs) and microsatellites (single sequence repeats; SSR) in genome scans, but it is difficult to transfer the results directly to livestock because of different population structures. The aim of this study was to determine the number of SNPs needed to obtain the same differentiation power as with a given standard set of microsatellites. Eight chicken breeds were genotyped for 29 SSRs and 9216 SNPs. After filtering, only 2931 SNPs remained. The differentiation power was evaluated using two methods: partitioning of the Euclidean distance matrix based on a principal component analysis (PCA) and a Bayesian model-based clustering approach. Generally, with PCA-based partitioning, 70 SNPs provide a comparable resolution to 29 SSRs. In model-based clustering, the similarity coefficient showed significantly higher values between repeated runs for SNPs compared to SSRs. For the membership coefficients, reflecting the proportion to which a fraction segment of the genome belongs to the ith cluster, the highest values were obtained for 29 SSRs and 100 SNPs respectively. With a low number of loci (29 SSRs or =100 SNPs), neither marker types could detect the admixture in the Godollo Nhx population. Using more than 250 SNPs allowed a more detailed insight into the genetic architecture. Thus, the admixed population could be detected. It is concluded that breed differentiation studies will substantially gain power even with moderate numbers of SNPs."],["dc.identifier.doi","10.1111/j.1365-2052.2011.02284.x"],["dc.identifier.isi","000306122200007"],["dc.identifier.pmid","22497629"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/25926"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","0268-9146"],["dc.title","Comparison of SNPs and microsatellites for assessing the genetic structure of chicken populations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","447"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Animal Genetics"],["dc.bibliographiccitation.lastpage","451"],["dc.bibliographiccitation.volume","46"],["dc.contributor.author","Lyimo, C. M."],["dc.contributor.author","Weigend, Annett"],["dc.contributor.author","Msoffe, P. L."],["dc.contributor.author","Hocking, Paul M."],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Weigend, Steffen"],["dc.date.accessioned","2018-11-07T09:53:59Z"],["dc.date.available","2018-11-07T09:53:59Z"],["dc.date.issued","2015"],["dc.description.abstract","The aim of this study was to investigate the maternal genealogical pattern of chicken breeds sampled in Europe. Sequence polymorphisms of 1256 chickens of the hypervariable region (D-loop) of mitochondrial DNA (mtDNA) were used. Median-joining networks were constructed to establish evolutionary relationships among mtDNA haplotypes of chickens, which included a wide range of breeds with different origin and history. Chicken breeds which have had their roots in Europe for more than 3000years were categorized by their founding regions, encompassing Mediterranean type, East European type and Northwest European type. Breeds which were introduced to Europe from Asia since the mid-19th century were classified as Asian type, and breeds based on crossbreeding between Asian breeds and European breeds were classified as Intermediate type. The last group, Game birds, included fighting birds from Asia. The classification of mtDNA haplotypes was based on Liu etal.'s (2006) nomenclature. Haplogroup E was the predominant clade among the European chicken breeds. The results showed, on average, the highest number of haplotypes, highest haplotype diversity, and highest nucleotide diversity for Asian type breeds, followed by Intermediate type chickens. East European and Northwest European breeds had lower haplotype and nucleotide diversity compared to Mediterranean, Intermediate, Game and Asian type breeds. Results of our study support earlier findings that chicken breeds sampled in Europe have their roots in the Indian subcontinent and East Asia. This is consistent with historical and archaeological evidence of chicken migration routes to Europe."],["dc.identifier.doi","10.1111/age.12304"],["dc.identifier.isi","000358641800015"],["dc.identifier.pmid","26059109"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/36441"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","1365-2052"],["dc.relation.issn","0268-9146"],["dc.title","Maternal genealogical patterns of chicken breeds sampled in Europe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","284"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Animal Breeding and Genetics"],["dc.bibliographiccitation.lastpage","294"],["dc.bibliographiccitation.volume","128"],["dc.contributor.author","Cuc, N. T. K."],["dc.contributor.author","Weigend, Steffen"],["dc.contributor.author","Tieu, H. V."],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2018-11-07T08:54:06Z"],["dc.date.available","2018-11-07T08:54:06Z"],["dc.date.issued","2011"],["dc.description.abstract","The objectives of this study were to estimate conservation potential of Vietnamese local breeds and to investigate optimal allocation of conservation funds to maximize genetic diversity conserved between these breeds. Twenty-nine microsatellites were genotyped in 353 individuals from nine Vietnamese local chicken breeds and two chicken breeds of Chinese origin. The Vietnamese chicken breeds were sampled from the northern and southern parts of Vietnam while the two Chinese breeds have been kept as conservation flocks at the National Institute of Animal Sciences, Hanoi. The Weitzman approach was used to assess alternative strategies for conserving genetic diversity between breeds. Three different models, which reflect the range of possible functions in typical conservation situations, were applied. An average extinction probability of 48.5% was estimated for all Vietnamese chicken breeds. The highest conservation potential was found in the Te, Dong Tao and Ac chicken breeds, whereas the lowest corresponding values were observed in the Ri and Mia chicken breeds. The conservation funds were mainly allocated to the same three breeds (Te, Dong Tao and Ac) under all three models. This study suggests that conservation potential of the Vietnamese chicken breeds varies considerably. Population priorities for allocation of conservation funds in this study do not depend on the cost model used. The three breeds (Te, Dong Tao and Ac) with the highest conservation potential should be the prime candidates to be allocated conservation funds if the conservation budgets are limited."],["dc.identifier.doi","10.1111/j.1439-0388.2010.00911.x"],["dc.identifier.isi","000292705500006"],["dc.identifier.pmid","21749475"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22588"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","0931-2668"],["dc.title","Conservation priorities and optimum allocation of conservation funds for Vietnamese local chicken breeds"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","499"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","South African Journal of Animal Science"],["dc.bibliographiccitation.lastpage","510"],["dc.bibliographiccitation.volume","43"],["dc.contributor.author","Lyimo, C. M."],["dc.contributor.author","Weigend, Annett"],["dc.contributor.author","Janssen-Tapken, Ulrike"],["dc.contributor.author","Msoffe, P. L."],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Weigend, Steffen"],["dc.date.accessioned","2018-11-07T09:29:23Z"],["dc.date.available","2018-11-07T09:29:23Z"],["dc.date.issued","2013"],["dc.description.abstract","The study aimed to evaluate the genetic diversity of Tanzanian chicken populations through phylogenetic relationship, and to trace the history of Tanzanian indigenous chickens. Five ecotypes of Tanzanian local chickens (Ching'wekwe, Kuchi, Morogoro-medium, Pemba and Unguja) from eight regions were studied. Diversity was assessed based on morphological measurements and 29 microsatellite markers recommended by ISAG/FAO advisory group on animal genetic diversity. A principal component analysis (PCA) of morphological measures distinguished individuals most by body sizes and body weight. Morogoro Medium, Pemba and Unguja were grouped together, while Ching'wekwe stood out because of their disproportionate short shanks and ulna bones. Kuchi formed an independent group owing to their comparably long body sizes. Microsatellite analysis revealed three clusters of Tanzanian chicken populations. These clusters encompassed i) Morogoro-medium and Ching'wekwe from Eastern and Central Zones ii) Unguja and Pemba from Zanzibar Islands and iii) Kuchi from Lake Zone regions, which formed an independent cluster. Sequence polymorphism of D-loop region was analysed to disclose the likely maternal origin of Tanzanian chickens. According to reference mtDNA haplotypes, the Tanzanian chickens that were sampled encompass two haplogroups of different genealogical origin. From haplotype network analysis, Tanzanian chickens probably originated on the Indian subcontinent and in Southeast Asia. The majority of Kuchi chickens clustered in a single haplogroup, which was previously found in Shamo game birds sampled from Shikoku Island of Japan in the Kochi Prefecture. Analysis of phenotypic and molecular data, as well as the linguistic similarity of the breed names, suggests a recent introduction of the Kuchi breed to Tanzania."],["dc.identifier.doi","10.4314/sajas.v43i4.7"],["dc.identifier.isi","000330228400007"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31014"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","South African Journal Of Animal Sciences"],["dc.relation.issn","0375-1589"],["dc.title","Assessing the genetic diversity of five Tanzanian chicken ecotypes using molecular tools"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","747"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Tropical Animal Health and Production"],["dc.bibliographiccitation.lastpage","752"],["dc.bibliographiccitation.volume","46"],["dc.contributor.author","Al-Qamashoui, Badar"],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Kadim, Isam"],["dc.contributor.author","Weigend, Steffen"],["dc.date.accessioned","2018-11-07T09:39:48Z"],["dc.date.available","2018-11-07T09:39:48Z"],["dc.date.issued","2014"],["dc.description.abstract","Designing strategies for conservation and improvement livestock should be based on assessment of genetic characteristics of populations under consideration. In Oman, conservation programs for local livestock breeds have been started. The current study assessed the genetic diversity and conservation potential of local chickens from Oman. Twenty-nine microsatellite markers were analyzed in 158 birds from six agroecological zones: Batinah, Dhofar, North Hajar, East Hajar, Musandam, and East Coast. Overall, a total of 217 alleles were observed. Across populations, the average number of alleles per locus was 7.48 and ranged from 2 (MCW98 and MCW103) to 20 (LEI094). The mean expected heterozygosity (H (E)) was 0.62. Average fixation index among populations (F (ST)) was 0.034, indicating low population differentiation, while the mean global deficit of heterozygotes across populations (F (IT)) was 0.159. Based on Nei's genetic distance, a neighbor-joining tree was constructed for the populations, which clearly identified the Dhofar population as the most distant one of the Omani chicken populations. The analysis of conservation priorities identified Dhofar and Musandam populations as the ones that largely contribute to the maximal genetic diversity of the Omani chicken gene pool."],["dc.description.sponsorship","Sultan Qaboos University through HM Fund [SR/AGR/ANVS/08/01]"],["dc.identifier.doi","10.1007/s11250-014-0558-9"],["dc.identifier.isi","000336039200006"],["dc.identifier.pmid","24590534"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33372"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1573-7438"],["dc.relation.issn","0049-4747"],["dc.title","Assessment of genetic diversity and conservation priority of Omani local chickens using microsatellite markers"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","836"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Animal Genetics"],["dc.bibliographiccitation.lastpage","848"],["dc.bibliographiccitation.volume","45"],["dc.contributor.author","Lyimo, C. M."],["dc.contributor.author","Weigend, Annett"],["dc.contributor.author","Msoffe, P. L."],["dc.contributor.author","Eding, H."],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Weigend, Steffen"],["dc.date.accessioned","2018-11-07T09:32:20Z"],["dc.date.available","2018-11-07T09:32:20Z"],["dc.date.issued","2014"],["dc.description.abstract","Genetic diversity and population structure of 113 chicken populations from Africa, Asia and Europe were studied using 29 microsatellite markers. Among these, three populations of wild chickens and nine commercial purebreds were used as reference populations for comparison. Compared to commercial lines and chickens sampled from the European region, high mean numbers of alleles and a high degree of heterozygosity were found in Asian and African chickens as well as in Red Junglefowl. Population differentiation (F-ST) was higher among European breeds and commercial lines than among African, Asian and Red Junglefowl populations. Neighbour-Net genetic clustering and structure analysis revealed two main groups of Asian and north-west European breeds, whereas African populations overlap with other breeds from Eastern Europe and the Mediterranean region. Broilers and brown egg layers were situated between the Asian and north-west European clusters. structure analysis confirmed a lower degree of population stratification in African and Asian chickens than in European breeds. High genetic differentiation and low genetic contributions to global diversity have been observed for single European breeds. Populations with low genetic variability have also shown a low genetic contribution to a core set of diversity in attaining maximum genetic variation present from the total populations. This may indicate that conservation measures in Europe should pay special attention to preserving as many single chicken breeds as possible to maintain maximum genetic diversity given that higher genetic variations come from differentiation between breeds."],["dc.identifier.doi","10.1111/age.12230"],["dc.identifier.isi","000344321700009"],["dc.identifier.pmid","25315897"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31734"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","1365-2052"],["dc.relation.issn","0268-9146"],["dc.title","Global diversity and genetic contributions of chicken populations from African, Asian and European regions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]