Microsatellite-based genetic diversity and population structure of domestic sheep in northern Eurasia View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Miika Tapio, Mikhail Ozerov, Ilma Tapio, Miguel A Toro, Nurbiy Marzanov, Mirjana Ćinkulov, Galina Goncharenko, Tatyana Kiselyova, Maziek Murawski, Juha Kantanen

ABSTRACT

BACKGROUND: Identification of global livestock diversity hotspots and their importance in diversity maintenance is essential for making global conservation efforts. We screened 52 sheep breeds from the Eurasian subcontinent with 20 microsatellite markers. By estimating and weighting differently within- and between-breed genetic variation our aims were to identify genetic diversity hotspots and prioritize the importance of each breed for conservation, respectively. In addition we estimated how important within-species diversity hotspots are in livestock conservation. RESULTS: Bayesian clustering analysis revealed three genetic clusters, termed Nordic, Composite and Fat-tailed. Southern breeds from close to the region of sheep domestication were more variable, but less genetically differentiated compared with more northern populations. Decreasing weight for within-breed diversity component led to very high representation of genetic clusters or regions containing more diverged breeds, but did not increase phenotypic diversity among the high ranked breeds. Sampling populations throughout 14 regional groups was suggested for maximized total genetic diversity. CONCLUSIONS: During initial steps of establishing a livestock conservation program populations from the diversity hot-spot area are the most important ones, but for the full design our results suggested that approximately equal population presentation across environments should be considered. Even in this case, higher per population emphasis in areas of high diversity is appropriate. The analysis was based on neutral data, but we have no reason to think the general trend is limited to this type of data. However, a comprehensive valuation of populations should balance production systems, phenotypic traits and available genetic information, and include consideration of probability of success. More... »

PAGES

76

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2156-11-76

DOI

http://dx.doi.org/10.1186/1471-2156-11-76

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050748610

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20698974


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Asia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bayes Theorem", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breeding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Europe", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetics, Population", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sheep, Domestic", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Agrifood Research Finland", 
          "id": "https://www.grid.ac/institutes/grid.417754.4", 
          "name": [
            "Biotechnology and Food Research, MTT Agrifood Research Finland, 31600, Jokioinen, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tapio", 
        "givenName": "Miika", 
        "id": "sg:person.0627055451.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627055451.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agrifood Research Finland", 
          "id": "https://www.grid.ac/institutes/grid.417754.4", 
          "name": [
            "Biotechnology and Food Research, MTT Agrifood Research Finland, 31600, Jokioinen, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ozerov", 
        "givenName": "Mikhail", 
        "id": "sg:person.01243645766.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243645766.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agrifood Research Finland", 
          "id": "https://www.grid.ac/institutes/grid.417754.4", 
          "name": [
            "Biotechnology and Food Research, MTT Agrifood Research Finland, 31600, Jokioinen, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tapio", 
        "givenName": "Ilma", 
        "id": "sg:person.01220446231.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220446231.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Departamento de Produccion Animal, Universidad Politecnica de Madrid, 28040, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Toro", 
        "givenName": "Miguel A", 
        "id": "sg:person.01352141722.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352141722.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal Scientific Center for Animal Husbandry named after Academician L.K. Ernst", 
          "id": "https://www.grid.ac/institutes/grid.465346.6", 
          "name": [
            "All-Russian Research Institute of Animal Husbandry, Russian Academy of Agricultural Sciences, 142132 Moscow Region, Dubrovitsy, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marzanov", 
        "givenName": "Nurbiy", 
        "id": "sg:person.01262647571.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262647571.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Novi Sad", 
          "id": "https://www.grid.ac/institutes/grid.10822.39", 
          "name": [
            "Animal Science Department, University of Novi Sad, 2100, Novi Sad, Serbia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u0106inkulov", 
        "givenName": "Mirjana", 
        "id": "sg:person.01032172571.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032172571.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Siberian Branch of Russian Academy of Agricultural Science, Novosibirsk Region, 630501, Krasnoobsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goncharenko", 
        "givenName": "Galina", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Agricultural Sciences", 
          "id": "https://www.grid.ac/institutes/grid.466124.3", 
          "name": [
            "All-Russian Research Institute of Animal Genetics and Breeding, Russian Academy of Agricultural Sciences, 189620, St. Petersburg-Pushkin, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kiselyova", 
        "givenName": "Tatyana", 
        "id": "sg:person.01214534371.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214534371.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Agriculture in Krakow", 
          "id": "https://www.grid.ac/institutes/grid.410701.3", 
          "name": [
            "Department of Sheep and Goat Breeding, Agricultural University of Cracow, 31059, Cracow, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murawski", 
        "givenName": "Maziek", 
        "id": "sg:person.01177622151.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177622151.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agrifood Research Finland", 
          "id": "https://www.grid.ac/institutes/grid.417754.4", 
          "name": [
            "Biotechnology and Food Research, MTT Agrifood Research Finland, 31600, Jokioinen, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kantanen", 
        "givenName": "Juha", 
        "id": "sg:person.01043630405.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043630405.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1019956205473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001016138", 
          "https://doi.org/10.1023/a:1019956205473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.031039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002128731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.031039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002128731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1078311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005962126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1439-0388.2003.00383.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007187061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2003.01893.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007788262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800640", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010382870", 
          "https://doi.org/10.1038/sj.hdy.6800640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800640", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010382870", 
          "https://doi.org/10.1038/sj.hdy.6800640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2008.89", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012248944", 
          "https://doi.org/10.1038/hdy.2008.89"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014972274", 
          "https://doi.org/10.1038/ng1911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014972274", 
          "https://doi.org/10.1038/ng1911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2052.2005.01363.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015009382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2052.2005.01363.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015009382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9686-37-4-315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017927589", 
          "https://doi.org/10.1186/1297-9686-37-4-315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01009452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019054075", 
          "https://doi.org/10.1007/bf01009452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0004668", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019808445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msl043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024746040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00221895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028732977", 
          "https://doi.org/10.1007/bf00221895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029969987", 
          "https://doi.org/10.1038/nrg1203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029969987", 
          "https://doi.org/10.1038/nrg1203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2052.2007.01561.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030565357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1420-9101.2007.01445.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032382174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/800186.810616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032810059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2007.03475.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032822270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.1996.0237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032966426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-5347(02)02478-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036604527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2005.02727.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036645155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036954196", 
          "https://doi.org/10.1038/nature05951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6801039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039443845", 
          "https://doi.org/10.1038/sj.hdy.6801039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9686-34-5-613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040156914", 
          "https://doi.org/10.1186/1297-9686-34-5-613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042559853", 
          "https://doi.org/10.1038/sj.hdy.6800009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042559853", 
          "https://doi.org/10.1038/sj.hdy.6800009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1523-1739.2007.00685.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043787777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2007.03437.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048079066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2052.1999.00379.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048404240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.1999.00805.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049304519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2052.2006.01461.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049988174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1367943005002271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050662670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1367943005002271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050662670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0925-7721(01)00047-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051575612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/302825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058610385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1170587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062459921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2137/145960607782219346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069055068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2408641", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069917637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3382/ps.0611273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071244700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074647594", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081523322", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.jhered.a111627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083620598"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "BACKGROUND: Identification of global livestock diversity hotspots and their importance in diversity maintenance is essential for making global conservation efforts. We screened 52 sheep breeds from the Eurasian subcontinent with 20 microsatellite markers. By estimating and weighting differently within- and between-breed genetic variation our aims were to identify genetic diversity hotspots and prioritize the importance of each breed for conservation, respectively. In addition we estimated how important within-species diversity hotspots are in livestock conservation.\nRESULTS: Bayesian clustering analysis revealed three genetic clusters, termed Nordic, Composite and Fat-tailed. Southern breeds from close to the region of sheep domestication were more variable, but less genetically differentiated compared with more northern populations. Decreasing weight for within-breed diversity component led to very high representation of genetic clusters or regions containing more diverged breeds, but did not increase phenotypic diversity among the high ranked breeds. Sampling populations throughout 14 regional groups was suggested for maximized total genetic diversity.\nCONCLUSIONS: During initial steps of establishing a livestock conservation program populations from the diversity hot-spot area are the most important ones, but for the full design our results suggested that approximately equal population presentation across environments should be considered. Even in this case, higher per population emphasis in areas of high diversity is appropriate. The analysis was based on neutral data, but we have no reason to think the general trend is limited to this type of data. However, a comprehensive valuation of populations should balance production systems, phenotypic traits and available genetic information, and include consideration of probability of success.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2156-11-76", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024251", 
        "issn": [
          "1471-2156"
        ], 
        "name": "BMC Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Microsatellite-based genetic diversity and population structure of domestic sheep in northern Eurasia", 
    "pagination": "76", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f1bf279c32b6a371cf167f78eea023f2ef1984d3ec099ffeb2148f16a4aca6d3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20698974"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966978"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2156-11-76"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050748610"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2156-11-76", 
      "https://app.dimensions.ai/details/publication/pub.1050748610"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000508.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2156-11-76"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-11-76'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-11-76'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-11-76'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-11-76'


 

This table displays all metadata directly associated to this object as RDF triples.

328 TRIPLES      21 PREDICATES      82 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2156-11-76 schema:about N0332c7fb37cc4e8ab86b5895102f15e5
2 N0fc3d42c4ec740e7a6a6d30f16eac274
3 N10d11b2777a2469f8d7571a791ccaeac
4 N177b6d696da04414bf34414d05329336
5 N33a301fdfebe4acea4487ce68e45debe
6 N569a34692db64c6db9069f5e004985ae
7 N6d67dd79a0474f4eaea37e4fda40bc2a
8 N7483c90bd94f4a38b3d504f9b99aa8c5
9 N74e4c4ce3ef04badb6efa69392f1c463
10 Na9d50638150746da85d847c71e5acc80
11 Nb79753a2e6c045b79e0f7b7d6b40086c
12 Nec25c822ba84486b8db20a2e116ae60e
13 anzsrc-for:06
14 anzsrc-for:0604
15 schema:author N4f618c3205bb45c6b7ba4ca2b3545de8
16 schema:citation sg:pub.10.1007/bf00221895
17 sg:pub.10.1007/bf01009452
18 sg:pub.10.1023/a:1019956205473
19 sg:pub.10.1038/hdy.2008.89
20 sg:pub.10.1038/nature05951
21 sg:pub.10.1038/ng1911
22 sg:pub.10.1038/nrg1203
23 sg:pub.10.1038/sj.hdy.6800009
24 sg:pub.10.1038/sj.hdy.6800640
25 sg:pub.10.1038/sj.hdy.6801039
26 sg:pub.10.1186/1297-9686-34-5-613
27 sg:pub.10.1186/1297-9686-37-4-315
28 https://app.dimensions.ai/details/publication/pub.1074647594
29 https://app.dimensions.ai/details/publication/pub.1081523322
30 https://doi.org/10.1016/s0169-5347(02)02478-3
31 https://doi.org/10.1016/s0925-7721(01)00047-5
32 https://doi.org/10.1017/s1367943005002271
33 https://doi.org/10.1046/j.1365-2052.1999.00379.x
34 https://doi.org/10.1046/j.1365-294x.1999.00805.x
35 https://doi.org/10.1046/j.1365-294x.2003.01893.x
36 https://doi.org/10.1046/j.1439-0388.2003.00383.x
37 https://doi.org/10.1086/302825
38 https://doi.org/10.1093/molbev/msl043
39 https://doi.org/10.1093/oxfordjournals.jhered.a111627
40 https://doi.org/10.1098/rspb.1996.0237
41 https://doi.org/10.1111/j.1365-2052.2005.01363.x
42 https://doi.org/10.1111/j.1365-2052.2006.01461.x
43 https://doi.org/10.1111/j.1365-2052.2007.01561.x
44 https://doi.org/10.1111/j.1365-294x.2005.02727.x
45 https://doi.org/10.1111/j.1365-294x.2007.03437.x
46 https://doi.org/10.1111/j.1365-294x.2007.03475.x
47 https://doi.org/10.1111/j.1420-9101.2007.01445.x
48 https://doi.org/10.1111/j.1523-1739.2007.00685.x
49 https://doi.org/10.1126/science.1078311
50 https://doi.org/10.1126/science.1170587
51 https://doi.org/10.1145/800186.810616
52 https://doi.org/10.1371/journal.pone.0004668
53 https://doi.org/10.1534/genetics.104.031039
54 https://doi.org/10.2137/145960607782219346
55 https://doi.org/10.2307/2408641
56 https://doi.org/10.3382/ps.0611273
57 schema:datePublished 2010-12
58 schema:datePublishedReg 2010-12-01
59 schema:description BACKGROUND: Identification of global livestock diversity hotspots and their importance in diversity maintenance is essential for making global conservation efforts. We screened 52 sheep breeds from the Eurasian subcontinent with 20 microsatellite markers. By estimating and weighting differently within- and between-breed genetic variation our aims were to identify genetic diversity hotspots and prioritize the importance of each breed for conservation, respectively. In addition we estimated how important within-species diversity hotspots are in livestock conservation. RESULTS: Bayesian clustering analysis revealed three genetic clusters, termed Nordic, Composite and Fat-tailed. Southern breeds from close to the region of sheep domestication were more variable, but less genetically differentiated compared with more northern populations. Decreasing weight for within-breed diversity component led to very high representation of genetic clusters or regions containing more diverged breeds, but did not increase phenotypic diversity among the high ranked breeds. Sampling populations throughout 14 regional groups was suggested for maximized total genetic diversity. CONCLUSIONS: During initial steps of establishing a livestock conservation program populations from the diversity hot-spot area are the most important ones, but for the full design our results suggested that approximately equal population presentation across environments should be considered. Even in this case, higher per population emphasis in areas of high diversity is appropriate. The analysis was based on neutral data, but we have no reason to think the general trend is limited to this type of data. However, a comprehensive valuation of populations should balance production systems, phenotypic traits and available genetic information, and include consideration of probability of success.
60 schema:genre research_article
61 schema:inLanguage en
62 schema:isAccessibleForFree true
63 schema:isPartOf N164184b4a6da4f71bcd449f42922ea18
64 Nab2657b48f6e4bbda1cfa83bb1bd02a0
65 sg:journal.1024251
66 schema:name Microsatellite-based genetic diversity and population structure of domestic sheep in northern Eurasia
67 schema:pagination 76
68 schema:productId N2579759722d64c3489ac770100008951
69 N54d79320013540b8b6ac3b1f1e1f5f39
70 N61709732a0294d9ab5a4c434948e5c14
71 Nc709654a026a406e81985ea879659098
72 Nf65acfe978fe459d9b4b5f911bac6102
73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050748610
74 https://doi.org/10.1186/1471-2156-11-76
75 schema:sdDatePublished 2019-04-10T19:07
76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
77 schema:sdPublisher Ne3807d5c50bd44828b9625d67b01cce8
78 schema:url http://link.springer.com/10.1186%2F1471-2156-11-76
79 sgo:license sg:explorer/license/
80 sgo:sdDataset articles
81 rdf:type schema:ScholarlyArticle
82 N0332c7fb37cc4e8ab86b5895102f15e5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Sheep, Domestic
84 rdf:type schema:DefinedTerm
85 N0fc3d42c4ec740e7a6a6d30f16eac274 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Phenotype
87 rdf:type schema:DefinedTerm
88 N10d11b2777a2469f8d7571a791ccaeac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Cluster Analysis
90 rdf:type schema:DefinedTerm
91 N164184b4a6da4f71bcd449f42922ea18 schema:volumeNumber 11
92 rdf:type schema:PublicationVolume
93 N177b6d696da04414bf34414d05329336 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Microsatellite Repeats
95 rdf:type schema:DefinedTerm
96 N1c9dde6193ca43a6ade663675f3c7d8b rdf:first sg:person.01243645766.85
97 rdf:rest N886f76a6403a45bdb2ed1a28af1c0ed4
98 N2579759722d64c3489ac770100008951 schema:name nlm_unique_id
99 schema:value 100966978
100 rdf:type schema:PropertyValue
101 N33a301fdfebe4acea4487ce68e45debe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Genetics, Population
103 rdf:type schema:DefinedTerm
104 N4f618c3205bb45c6b7ba4ca2b3545de8 rdf:first sg:person.0627055451.31
105 rdf:rest N1c9dde6193ca43a6ade663675f3c7d8b
106 N54d79320013540b8b6ac3b1f1e1f5f39 schema:name doi
107 schema:value 10.1186/1471-2156-11-76
108 rdf:type schema:PropertyValue
109 N569a34692db64c6db9069f5e004985ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Europe
111 rdf:type schema:DefinedTerm
112 N5dcb6f7a90a4429bbf5c91ef12b16c18 rdf:first sg:person.01043630405.13
113 rdf:rest rdf:nil
114 N61709732a0294d9ab5a4c434948e5c14 schema:name readcube_id
115 schema:value f1bf279c32b6a371cf167f78eea023f2ef1984d3ec099ffeb2148f16a4aca6d3
116 rdf:type schema:PropertyValue
117 N650734eb61724285bc40410e36a149e7 rdf:first sg:person.01032172571.45
118 rdf:rest Na0f32632d4e24f7db8a9d1d18f005a43
119 N6a7322e515e24d29907c2928f219a4d2 rdf:first sg:person.01262647571.99
120 rdf:rest N650734eb61724285bc40410e36a149e7
121 N6d67dd79a0474f4eaea37e4fda40bc2a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Asia
123 rdf:type schema:DefinedTerm
124 N7483c90bd94f4a38b3d504f9b99aa8c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Bayes Theorem
126 rdf:type schema:DefinedTerm
127 N74e4c4ce3ef04badb6efa69392f1c463 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Breeding
129 rdf:type schema:DefinedTerm
130 N8839c7ba98f34f9a95d99f91539c516c rdf:first sg:person.01352141722.38
131 rdf:rest N6a7322e515e24d29907c2928f219a4d2
132 N886f76a6403a45bdb2ed1a28af1c0ed4 rdf:first sg:person.01220446231.32
133 rdf:rest N8839c7ba98f34f9a95d99f91539c516c
134 N9f69998db71a4f9cafa73163b0a005cf rdf:first sg:person.01177622151.91
135 rdf:rest N5dcb6f7a90a4429bbf5c91ef12b16c18
136 Na0f32632d4e24f7db8a9d1d18f005a43 rdf:first Ndfe82eda092b4c5ba686fb1c57e857d4
137 rdf:rest Nad2db83a3d8f4a9e89f9829c51247ea0
138 Na9d50638150746da85d847c71e5acc80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Sequence Analysis, DNA
140 rdf:type schema:DefinedTerm
141 Nab2657b48f6e4bbda1cfa83bb1bd02a0 schema:issueNumber 1
142 rdf:type schema:PublicationIssue
143 Nad2db83a3d8f4a9e89f9829c51247ea0 rdf:first sg:person.01214534371.74
144 rdf:rest N9f69998db71a4f9cafa73163b0a005cf
145 Nb79753a2e6c045b79e0f7b7d6b40086c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Animals
147 rdf:type schema:DefinedTerm
148 Nc709654a026a406e81985ea879659098 schema:name pubmed_id
149 schema:value 20698974
150 rdf:type schema:PropertyValue
151 Ndfe82eda092b4c5ba686fb1c57e857d4 schema:affiliation Nf0fd4b5a639b4e64b746a22d0579532b
152 schema:familyName Goncharenko
153 schema:givenName Galina
154 rdf:type schema:Person
155 Ne3807d5c50bd44828b9625d67b01cce8 schema:name Springer Nature - SN SciGraph project
156 rdf:type schema:Organization
157 Nec25c822ba84486b8db20a2e116ae60e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Genetic Variation
159 rdf:type schema:DefinedTerm
160 Nf0fd4b5a639b4e64b746a22d0579532b schema:name Siberian Branch of Russian Academy of Agricultural Science, Novosibirsk Region, 630501, Krasnoobsk, Russia
161 rdf:type schema:Organization
162 Nf65acfe978fe459d9b4b5f911bac6102 schema:name dimensions_id
163 schema:value pub.1050748610
164 rdf:type schema:PropertyValue
165 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
166 schema:name Biological Sciences
167 rdf:type schema:DefinedTerm
168 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
169 schema:name Genetics
170 rdf:type schema:DefinedTerm
171 sg:journal.1024251 schema:issn 1471-2156
172 schema:name BMC Genetics
173 rdf:type schema:Periodical
174 sg:person.01032172571.45 schema:affiliation https://www.grid.ac/institutes/grid.10822.39
175 schema:familyName Ćinkulov
176 schema:givenName Mirjana
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032172571.45
178 rdf:type schema:Person
179 sg:person.01043630405.13 schema:affiliation https://www.grid.ac/institutes/grid.417754.4
180 schema:familyName Kantanen
181 schema:givenName Juha
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043630405.13
183 rdf:type schema:Person
184 sg:person.01177622151.91 schema:affiliation https://www.grid.ac/institutes/grid.410701.3
185 schema:familyName Murawski
186 schema:givenName Maziek
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177622151.91
188 rdf:type schema:Person
189 sg:person.01214534371.74 schema:affiliation https://www.grid.ac/institutes/grid.466124.3
190 schema:familyName Kiselyova
191 schema:givenName Tatyana
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214534371.74
193 rdf:type schema:Person
194 sg:person.01220446231.32 schema:affiliation https://www.grid.ac/institutes/grid.417754.4
195 schema:familyName Tapio
196 schema:givenName Ilma
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220446231.32
198 rdf:type schema:Person
199 sg:person.01243645766.85 schema:affiliation https://www.grid.ac/institutes/grid.417754.4
200 schema:familyName Ozerov
201 schema:givenName Mikhail
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243645766.85
203 rdf:type schema:Person
204 sg:person.01262647571.99 schema:affiliation https://www.grid.ac/institutes/grid.465346.6
205 schema:familyName Marzanov
206 schema:givenName Nurbiy
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262647571.99
208 rdf:type schema:Person
209 sg:person.01352141722.38 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
210 schema:familyName Toro
211 schema:givenName Miguel A
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352141722.38
213 rdf:type schema:Person
214 sg:person.0627055451.31 schema:affiliation https://www.grid.ac/institutes/grid.417754.4
215 schema:familyName Tapio
216 schema:givenName Miika
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627055451.31
218 rdf:type schema:Person
219 sg:pub.10.1007/bf00221895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028732977
220 https://doi.org/10.1007/bf00221895
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/bf01009452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019054075
223 https://doi.org/10.1007/bf01009452
224 rdf:type schema:CreativeWork
225 sg:pub.10.1023/a:1019956205473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001016138
226 https://doi.org/10.1023/a:1019956205473
227 rdf:type schema:CreativeWork
228 sg:pub.10.1038/hdy.2008.89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012248944
229 https://doi.org/10.1038/hdy.2008.89
230 rdf:type schema:CreativeWork
231 sg:pub.10.1038/nature05951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036954196
232 https://doi.org/10.1038/nature05951
233 rdf:type schema:CreativeWork
234 sg:pub.10.1038/ng1911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014972274
235 https://doi.org/10.1038/ng1911
236 rdf:type schema:CreativeWork
237 sg:pub.10.1038/nrg1203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029969987
238 https://doi.org/10.1038/nrg1203
239 rdf:type schema:CreativeWork
240 sg:pub.10.1038/sj.hdy.6800009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042559853
241 https://doi.org/10.1038/sj.hdy.6800009
242 rdf:type schema:CreativeWork
243 sg:pub.10.1038/sj.hdy.6800640 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010382870
244 https://doi.org/10.1038/sj.hdy.6800640
245 rdf:type schema:CreativeWork
246 sg:pub.10.1038/sj.hdy.6801039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039443845
247 https://doi.org/10.1038/sj.hdy.6801039
248 rdf:type schema:CreativeWork
249 sg:pub.10.1186/1297-9686-34-5-613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040156914
250 https://doi.org/10.1186/1297-9686-34-5-613
251 rdf:type schema:CreativeWork
252 sg:pub.10.1186/1297-9686-37-4-315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017927589
253 https://doi.org/10.1186/1297-9686-37-4-315
254 rdf:type schema:CreativeWork
255 https://app.dimensions.ai/details/publication/pub.1074647594 schema:CreativeWork
256 https://app.dimensions.ai/details/publication/pub.1081523322 schema:CreativeWork
257 https://doi.org/10.1016/s0169-5347(02)02478-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036604527
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/s0925-7721(01)00047-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051575612
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1017/s1367943005002271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050662670
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1046/j.1365-2052.1999.00379.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048404240
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1046/j.1365-294x.1999.00805.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049304519
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1046/j.1365-294x.2003.01893.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007788262
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1046/j.1439-0388.2003.00383.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007187061
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1086/302825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058610385
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1093/molbev/msl043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024746040
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1093/oxfordjournals.jhered.a111627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083620598
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1098/rspb.1996.0237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032966426
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1111/j.1365-2052.2005.01363.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015009382
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1111/j.1365-2052.2006.01461.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049988174
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1111/j.1365-2052.2007.01561.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030565357
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1111/j.1365-294x.2005.02727.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036645155
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1111/j.1365-294x.2007.03437.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048079066
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1111/j.1365-294x.2007.03475.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032822270
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1111/j.1420-9101.2007.01445.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032382174
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1111/j.1523-1739.2007.00685.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043787777
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1126/science.1078311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005962126
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1126/science.1170587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062459921
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1145/800186.810616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032810059
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1371/journal.pone.0004668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019808445
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1534/genetics.104.031039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002128731
304 rdf:type schema:CreativeWork
305 https://doi.org/10.2137/145960607782219346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069055068
306 rdf:type schema:CreativeWork
307 https://doi.org/10.2307/2408641 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069917637
308 rdf:type schema:CreativeWork
309 https://doi.org/10.3382/ps.0611273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071244700
310 rdf:type schema:CreativeWork
311 https://www.grid.ac/institutes/grid.10822.39 schema:alternateName University of Novi Sad
312 schema:name Animal Science Department, University of Novi Sad, 2100, Novi Sad, Serbia
313 rdf:type schema:Organization
314 https://www.grid.ac/institutes/grid.410701.3 schema:alternateName University of Agriculture in Krakow
315 schema:name Department of Sheep and Goat Breeding, Agricultural University of Cracow, 31059, Cracow, Poland
316 rdf:type schema:Organization
317 https://www.grid.ac/institutes/grid.417754.4 schema:alternateName Agrifood Research Finland
318 schema:name Biotechnology and Food Research, MTT Agrifood Research Finland, 31600, Jokioinen, Finland
319 rdf:type schema:Organization
320 https://www.grid.ac/institutes/grid.465346.6 schema:alternateName Federal Scientific Center for Animal Husbandry named after Academician L.K. Ernst
321 schema:name All-Russian Research Institute of Animal Husbandry, Russian Academy of Agricultural Sciences, 142132 Moscow Region, Dubrovitsy, Russia
322 rdf:type schema:Organization
323 https://www.grid.ac/institutes/grid.466124.3 schema:alternateName Department of Agricultural Sciences
324 schema:name All-Russian Research Institute of Animal Genetics and Breeding, Russian Academy of Agricultural Sciences, 189620, St. Petersburg-Pushkin, Russia
325 rdf:type schema:Organization
326 https://www.grid.ac/institutes/grid.5690.a schema:alternateName Technical University of Madrid
327 schema:name Departamento de Produccion Animal, Universidad Politecnica de Madrid, 28040, Madrid, Spain
328 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...