Thermal sensitivity of growth indicates heritable variation in 1-year-old rainbow trout (Oncorhynchus mykiss) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Matti Janhunen, Juha Koskela, Nguyễn Hữu Ninh, Harri Vehviläinen, Heikki Koskinen, Antti Nousiainen, Ngô Phú Thỏa

ABSTRACT

BACKGROUND: Rainbow trout is an important aquaculture species, which has a worldwide distribution across various production environments. The diverse locations of trout farms involve remarkable variation in environmental factors such as water temperature, which is of major importance for the performance of fish. Thus, robust fish that could thrive under different and suboptimal thermal conditions is a desirable goal for trout breeding. Using a split-family experimental design (40 full-/half-sib groups) for a rainbow trout population derived from the Finnish national breeding program, we studied how two different rearing temperatures (14 and 20 °C) affect feed intake, growth rate and feed conversion ratio in 1-year-old fish. Furthermore, we quantified the additive genetic (co-)variation for daily growth coefficient (DGC) and its thermal sensitivity (TS), defined as the slope of the growth reaction norm between the two temperatures. RESULTS: The fish showed consistently lower feed intake, faster growth and better feed conversion ratio at the lower temperature. Heritability of TS of DGC was moderate ([Formula: see text]). The co-heritability parameter derived from selection index theory, which describes the heritable variance of TS, was negative when the intercept was placed at the lower temperature (-0.28). This resulted in moderate accuracy of selection. At the higher temperature, co-heritability of TS was positive (0.20). The genetic correlation between DGC and its TS was strongly negative (-0.64) when the intercept was at the lower temperature and positive (0.38) but not significantly different from zero at the higher temperature. CONCLUSIONS: The considerable amount of genetic variation in TS of growth indicates a potential for selection response and thus for targeted genetic improvement in TS. The negative genetic correlation between DGC and its TS suggests that selection for high growth rate at the lower temperature will result in more temperature-sensitive fish. Instead, the correlated response of TS is less pronounced if the selection for a higher DGC occurred at the higher temperature. It seems possible to control the correlated genetic change of TS while selecting for fast growth across environments, especially if measurements from both environments are available and breeding values for reaction norm slope are directly included in the selection index. More... »

PAGES

94

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12711-016-0272-3

DOI

http://dx.doi.org/10.1186/s12711-016-0272-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052887757

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27899075


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": "Genetic Association Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oncorhynchus mykiss", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quantitative Trait, Heritable", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Temperature", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thermosensing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Natural Resources Institute Finland", 
          "id": "https://www.grid.ac/institutes/grid.22642.30", 
          "name": [
            "Biometrical Genetics, Natural Resources Institute Finland (Luke), Myllytie 1, 31600, Jokioinen, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Janhunen", 
        "givenName": "Matti", 
        "id": "sg:person.015111704405.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015111704405.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Natural Resources Institute Finland", 
          "id": "https://www.grid.ac/institutes/grid.22642.30", 
          "name": [
            "Aquaculture, Natural Resources Institute Finland (Luke), Survontie 9 A, 40500, Jyv\u00e4skyl\u00e4, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koskela", 
        "givenName": "Juha", 
        "id": "sg:person.014004716424.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014004716424.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Research Institute for Aquaculture No. 3 (RIA-3), Nha Trang, Khanh Hoa, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ninh", 
        "givenName": "Nguy\u1ec5n H\u1eefu", 
        "id": "sg:person.012273621727.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012273621727.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Natural Resources Institute Finland", 
          "id": "https://www.grid.ac/institutes/grid.22642.30", 
          "name": [
            "Biometrical Genetics, Natural Resources Institute Finland (Luke), Myllytie 1, 31600, Jokioinen, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vehvil\u00e4inen", 
        "givenName": "Harri", 
        "id": "sg:person.01227660627.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227660627.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Natural Resources Institute Finland", 
          "id": "https://www.grid.ac/institutes/grid.22642.30", 
          "name": [
            "Tervo Fish Farm, Natural Resources Institute Finland (Luke), Huuhtajantie 160, 72210, Tervo, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koskinen", 
        "givenName": "Heikki", 
        "id": "sg:person.01170167572.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170167572.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Natural Resources Institute Finland", 
          "id": "https://www.grid.ac/institutes/grid.22642.30", 
          "name": [
            "Tervo Fish Farm, Natural Resources Institute Finland (Luke), Huuhtajantie 160, 72210, Tervo, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nousiainen", 
        "givenName": "Antti", 
        "id": "sg:person.01342672501.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342672501.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Research Institute for Aquaculture No1", 
          "id": "https://www.grid.ac/institutes/grid.493490.3", 
          "name": [
            "Research Institute for Aquaculture No. 1 (RIA-1), Dinh Bang, Tu Son, Bac Ninh, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Th\u1ecfa", 
        "givenName": "Ng\u00f4 Ph\u00fa", 
        "id": "sg:person.01033304361.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033304361.85"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0301-6226(02)00096-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002027089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1420-9101.1991.4010023.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002971419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2010.166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004661591", 
          "https://doi.org/10.1038/hdy.2010.166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fgene.2015.00310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005050344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1010956716539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006153854", 
          "https://doi.org/10.1023/a:1010956716539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2109.1994.tb00575.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006200586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2005.3117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007429783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-5347(99)01595-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007533205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0135133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009946659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9686-36-3-363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017886000", 
          "https://doi.org/10.1186/1297-9686-36-3-363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.es.24.110193.000343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021444767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1973.4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023313557", 
          "https://doi.org/10.1038/hdy.1973.4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1973.4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023313557", 
          "https://doi.org/10.1038/hdy.1973.4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00038926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024781584", 
          "https://doi.org/10.1007/bf00038926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00038926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024781584", 
          "https://doi.org/10.1007/bf00038926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8649.1977.tb04101.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027354033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8649.1977.tb04101.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027354033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2008.03.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027874063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0044-8486(01)00707-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029178141"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0144-8609(95)93439-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031831114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9686-36-4-435", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032138076", 
          "https://doi.org/10.1186/1297-9686-36-4-435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8649.2010.02648.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032344171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8649.2010.02648.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032344171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/f77-100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036623985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/raq.12098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037944630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8649.1981.tb05847.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039723896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8649.1981.tb05847.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039723896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2011.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046007280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2435.2007.01283.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047100528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1420-9101.1990.3050447.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047301549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051513978", 
          "https://doi.org/10.1038/sj.hdy.6800088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051513978", 
          "https://doi.org/10.1038/sj.hdy.6800088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2005.02.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051619808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0990-7440(98)89003-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052502880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0016672300028883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053767338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0016672300028883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053767338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0016672300032729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053939868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0016672300032729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053939868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/281736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058591859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/icb/23.1.85", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059652716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.33.1.2275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.33.1.2275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci1981.0011183x002100060033x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069019050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2408649", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069917643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2533558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069978954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/2004.824973x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070882793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/2005.83149x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070883090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2007-0282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070886120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2011-4267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070887985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2012-5949", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070888742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2014-8583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070889838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(00)75095-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074702974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(05)72860-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077038451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2008-1928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077973383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1357729800058604", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085546140"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: Rainbow trout is an important aquaculture species, which has a worldwide distribution across various production environments. The diverse locations of trout farms involve remarkable variation in environmental factors such as water temperature, which is of major importance for the performance of fish. Thus, robust fish that could thrive under different and suboptimal thermal conditions is a desirable goal for trout breeding. Using a split-family experimental design (40 full-/half-sib groups) for a rainbow trout population derived from the Finnish national breeding program, we studied how two different rearing temperatures (14 and 20\u00a0\u00b0C) affect feed intake, growth rate and feed conversion ratio in 1-year-old fish. Furthermore, we quantified the additive genetic (co-)variation for daily growth coefficient (DGC) and its thermal sensitivity (TS), defined as the slope of the growth reaction norm between the two temperatures.\nRESULTS: The fish showed consistently lower feed intake, faster growth and better feed conversion ratio at the lower temperature. Heritability of TS of DGC was moderate ([Formula: see text]). The co-heritability parameter derived from selection index theory, which describes the heritable variance of TS, was negative when the intercept was placed at the lower temperature (-0.28). This resulted in moderate accuracy of selection. At the higher temperature, co-heritability of TS was positive (0.20). The genetic correlation between DGC and its TS was strongly negative (-0.64) when the intercept was at the lower temperature and positive (0.38) but not significantly different from zero at the higher temperature.\nCONCLUSIONS: The considerable amount of genetic variation in TS of growth indicates a potential for selection response and thus for targeted genetic improvement in TS. The negative genetic correlation between DGC and its TS suggests that selection for high growth rate at the lower temperature will result in more temperature-sensitive fish. Instead, the correlated response of TS is less pronounced if the selection for a higher DGC occurred at the higher temperature. It seems possible to control the correlated genetic change of TS while selecting for fast growth across environments, especially if measurements from both environments are available and breeding values for reaction norm slope are directly included in the selection index.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12711-016-0272-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1014139", 
        "issn": [
          "0999-193X", 
          "1297-9686"
        ], 
        "name": "Genetics Selection Evolution", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "name": "Thermal sensitivity of growth indicates heritable variation in 1-year-old rainbow trout (Oncorhynchus mykiss)", 
    "pagination": "94", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fbeb95bd38f8c1b4baddf51ecc81f2b935577e2524e00a72ef75bcd687253303"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27899075"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114088"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12711-016-0272-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052887757"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12711-016-0272-3", 
      "https://app.dimensions.ai/details/publication/pub.1052887757"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:44", 
    "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/v90/0000000363_0000000363/records_70068_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12711-016-0272-3"
  }
]
 

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/s12711-016-0272-3'

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/s12711-016-0272-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12711-016-0272-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12711-016-0272-3'


 

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

291 TRIPLES      21 PREDICATES      82 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12711-016-0272-3 schema:about N31ac171243b0493e8db01976669a479d
2 N4ab8f4235e4e4c858ed83c4e8a3e10f3
3 N4e39926506fa455495a96fa7239534a3
4 N8ef4e0d2e0694a80b3eaf194c24d2738
5 Nbda3c92239ed4d5da4e7a39eeec106a5
6 Nc0c52a65ac0e4b668ea0c17e5a793919
7 Ncfdc5f9619b54f8493c31d597008ecf2
8 anzsrc-for:06
9 anzsrc-for:0604
10 schema:author N773a1dce15e54d118aac9a5a0d839afe
11 schema:citation sg:pub.10.1007/bf00038926
12 sg:pub.10.1023/a:1010956716539
13 sg:pub.10.1038/hdy.1973.4
14 sg:pub.10.1038/hdy.2010.166
15 sg:pub.10.1038/sj.hdy.6800088
16 sg:pub.10.1186/1297-9686-36-3-363
17 sg:pub.10.1186/1297-9686-36-4-435
18 https://doi.org/10.1016/0144-8609(95)93439-t
19 https://doi.org/10.1016/j.aquaculture.2005.02.023
20 https://doi.org/10.1016/j.aquaculture.2008.03.017
21 https://doi.org/10.1016/j.aquaculture.2011.08.010
22 https://doi.org/10.1016/s0044-8486(01)00707-4
23 https://doi.org/10.1016/s0169-5347(99)01595-5
24 https://doi.org/10.1016/s0301-6226(02)00096-9
25 https://doi.org/10.1016/s0990-7440(98)89003-7
26 https://doi.org/10.1017/s0016672300028883
27 https://doi.org/10.1017/s0016672300032729
28 https://doi.org/10.1017/s1357729800058604
29 https://doi.org/10.1046/j.1420-9101.1990.3050447.x
30 https://doi.org/10.1046/j.1420-9101.1991.4010023.x
31 https://doi.org/10.1086/281736
32 https://doi.org/10.1093/icb/23.1.85
33 https://doi.org/10.1098/rspb.2005.3117
34 https://doi.org/10.1111/j.1095-8649.1977.tb04101.x
35 https://doi.org/10.1111/j.1095-8649.1981.tb05847.x
36 https://doi.org/10.1111/j.1095-8649.2010.02648.x
37 https://doi.org/10.1111/j.1365-2109.1994.tb00575.x
38 https://doi.org/10.1111/j.1365-2435.2007.01283.x
39 https://doi.org/10.1111/raq.12098
40 https://doi.org/10.1139/f77-100
41 https://doi.org/10.1146/annurev.es.24.110193.000343
42 https://doi.org/10.1371/journal.pone.0135133
43 https://doi.org/10.20506/rst.33.1.2275
44 https://doi.org/10.2135/cropsci1981.0011183x002100060033x
45 https://doi.org/10.2307/2408649
46 https://doi.org/10.2307/2533558
47 https://doi.org/10.2527/2004.824973x
48 https://doi.org/10.2527/2005.83149x
49 https://doi.org/10.2527/jas.2007-0282
50 https://doi.org/10.2527/jas.2011-4267
51 https://doi.org/10.2527/jas.2012-5949
52 https://doi.org/10.2527/jas.2014-8583
53 https://doi.org/10.3168/jds.2008-1928
54 https://doi.org/10.3168/jds.s0022-0302(00)75095-8
55 https://doi.org/10.3168/jds.s0022-0302(05)72860-5
56 https://doi.org/10.3389/fgene.2015.00310
57 schema:datePublished 2016-12
58 schema:datePublishedReg 2016-12-01
59 schema:description BACKGROUND: Rainbow trout is an important aquaculture species, which has a worldwide distribution across various production environments. The diverse locations of trout farms involve remarkable variation in environmental factors such as water temperature, which is of major importance for the performance of fish. Thus, robust fish that could thrive under different and suboptimal thermal conditions is a desirable goal for trout breeding. Using a split-family experimental design (40 full-/half-sib groups) for a rainbow trout population derived from the Finnish national breeding program, we studied how two different rearing temperatures (14 and 20 °C) affect feed intake, growth rate and feed conversion ratio in 1-year-old fish. Furthermore, we quantified the additive genetic (co-)variation for daily growth coefficient (DGC) and its thermal sensitivity (TS), defined as the slope of the growth reaction norm between the two temperatures. RESULTS: The fish showed consistently lower feed intake, faster growth and better feed conversion ratio at the lower temperature. Heritability of TS of DGC was moderate ([Formula: see text]). The co-heritability parameter derived from selection index theory, which describes the heritable variance of TS, was negative when the intercept was placed at the lower temperature (-0.28). This resulted in moderate accuracy of selection. At the higher temperature, co-heritability of TS was positive (0.20). The genetic correlation between DGC and its TS was strongly negative (-0.64) when the intercept was at the lower temperature and positive (0.38) but not significantly different from zero at the higher temperature. CONCLUSIONS: The considerable amount of genetic variation in TS of growth indicates a potential for selection response and thus for targeted genetic improvement in TS. The negative genetic correlation between DGC and its TS suggests that selection for high growth rate at the lower temperature will result in more temperature-sensitive fish. Instead, the correlated response of TS is less pronounced if the selection for a higher DGC occurred at the higher temperature. It seems possible to control the correlated genetic change of TS while selecting for fast growth across environments, especially if measurements from both environments are available and breeding values for reaction norm slope are directly included in the selection index.
60 schema:genre research_article
61 schema:inLanguage en
62 schema:isAccessibleForFree true
63 schema:isPartOf N19641db6360a4820bac3d5ff56a2e477
64 Nc874573d998b465eadc8e6177bcb5e84
65 sg:journal.1014139
66 schema:name Thermal sensitivity of growth indicates heritable variation in 1-year-old rainbow trout (Oncorhynchus mykiss)
67 schema:pagination 94
68 schema:productId N26d897705c5740d2a4cd73c595a6987d
69 N45511150a95648da93ad09d11b247d84
70 N4d0201a2154c4a48a71b8ea58b5c8f46
71 Nc1491c5d2903492cb2c8eb8eda34da95
72 Nf5ef129cc63545c99385cbac8954c0d4
73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052887757
74 https://doi.org/10.1186/s12711-016-0272-3
75 schema:sdDatePublished 2019-04-11T12:44
76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
77 schema:sdPublisher N6b38ac59203641c3baefd575fc9ecaca
78 schema:url https://link.springer.com/10.1186%2Fs12711-016-0272-3
79 sgo:license sg:explorer/license/
80 sgo:sdDataset articles
81 rdf:type schema:ScholarlyArticle
82 N049c93fa94da4a08834a3242310375a8 schema:name Research Institute for Aquaculture No. 3 (RIA-3), Nha Trang, Khanh Hoa, Vietnam
83 rdf:type schema:Organization
84 N19641db6360a4820bac3d5ff56a2e477 schema:volumeNumber 48
85 rdf:type schema:PublicationVolume
86 N26d897705c5740d2a4cd73c595a6987d schema:name nlm_unique_id
87 schema:value 9114088
88 rdf:type schema:PropertyValue
89 N31ac171243b0493e8db01976669a479d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Thermosensing
91 rdf:type schema:DefinedTerm
92 N45511150a95648da93ad09d11b247d84 schema:name pubmed_id
93 schema:value 27899075
94 rdf:type schema:PropertyValue
95 N4ab8f4235e4e4c858ed83c4e8a3e10f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Genetic Association Studies
97 rdf:type schema:DefinedTerm
98 N4d0201a2154c4a48a71b8ea58b5c8f46 schema:name doi
99 schema:value 10.1186/s12711-016-0272-3
100 rdf:type schema:PropertyValue
101 N4e39926506fa455495a96fa7239534a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Oncorhynchus mykiss
103 rdf:type schema:DefinedTerm
104 N56b561f18a354420a2895971cc93c23d rdf:first sg:person.01227660627.27
105 rdf:rest N8f33d9eb8fcf4ec7b321e17e3871524f
106 N6b38ac59203641c3baefd575fc9ecaca schema:name Springer Nature - SN SciGraph project
107 rdf:type schema:Organization
108 N773a1dce15e54d118aac9a5a0d839afe rdf:first sg:person.015111704405.19
109 rdf:rest Nb79ee4a5f8594f4e9b61f7b8828ed75c
110 N8ef4e0d2e0694a80b3eaf194c24d2738 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Animals
112 rdf:type schema:DefinedTerm
113 N8f33d9eb8fcf4ec7b321e17e3871524f rdf:first sg:person.01170167572.41
114 rdf:rest Ndb34ec6612ce4f3db01244ba098c4389
115 Nb79ee4a5f8594f4e9b61f7b8828ed75c rdf:first sg:person.014004716424.13
116 rdf:rest Ne6100dc65004439584122c05b509171e
117 Nbda3c92239ed4d5da4e7a39eeec106a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Temperature
119 rdf:type schema:DefinedTerm
120 Nc0c52a65ac0e4b668ea0c17e5a793919 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Quantitative Trait, Heritable
122 rdf:type schema:DefinedTerm
123 Nc1491c5d2903492cb2c8eb8eda34da95 schema:name readcube_id
124 schema:value fbeb95bd38f8c1b4baddf51ecc81f2b935577e2524e00a72ef75bcd687253303
125 rdf:type schema:PropertyValue
126 Nc874573d998b465eadc8e6177bcb5e84 schema:issueNumber 1
127 rdf:type schema:PublicationIssue
128 Ncdc101cfa2404da5b9983a03d067cb96 rdf:first sg:person.01033304361.85
129 rdf:rest rdf:nil
130 Ncfdc5f9619b54f8493c31d597008ecf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Genetic Variation
132 rdf:type schema:DefinedTerm
133 Ndb34ec6612ce4f3db01244ba098c4389 rdf:first sg:person.01342672501.67
134 rdf:rest Ncdc101cfa2404da5b9983a03d067cb96
135 Ne6100dc65004439584122c05b509171e rdf:first sg:person.012273621727.38
136 rdf:rest N56b561f18a354420a2895971cc93c23d
137 Nf5ef129cc63545c99385cbac8954c0d4 schema:name dimensions_id
138 schema:value pub.1052887757
139 rdf:type schema:PropertyValue
140 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
141 schema:name Biological Sciences
142 rdf:type schema:DefinedTerm
143 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
144 schema:name Genetics
145 rdf:type schema:DefinedTerm
146 sg:journal.1014139 schema:issn 0999-193X
147 1297-9686
148 schema:name Genetics Selection Evolution
149 rdf:type schema:Periodical
150 sg:person.01033304361.85 schema:affiliation https://www.grid.ac/institutes/grid.493490.3
151 schema:familyName Thỏa
152 schema:givenName Ngô Phú
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033304361.85
154 rdf:type schema:Person
155 sg:person.01170167572.41 schema:affiliation https://www.grid.ac/institutes/grid.22642.30
156 schema:familyName Koskinen
157 schema:givenName Heikki
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170167572.41
159 rdf:type schema:Person
160 sg:person.012273621727.38 schema:affiliation N049c93fa94da4a08834a3242310375a8
161 schema:familyName Ninh
162 schema:givenName Nguyễn Hữu
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012273621727.38
164 rdf:type schema:Person
165 sg:person.01227660627.27 schema:affiliation https://www.grid.ac/institutes/grid.22642.30
166 schema:familyName Vehviläinen
167 schema:givenName Harri
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227660627.27
169 rdf:type schema:Person
170 sg:person.01342672501.67 schema:affiliation https://www.grid.ac/institutes/grid.22642.30
171 schema:familyName Nousiainen
172 schema:givenName Antti
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342672501.67
174 rdf:type schema:Person
175 sg:person.014004716424.13 schema:affiliation https://www.grid.ac/institutes/grid.22642.30
176 schema:familyName Koskela
177 schema:givenName Juha
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014004716424.13
179 rdf:type schema:Person
180 sg:person.015111704405.19 schema:affiliation https://www.grid.ac/institutes/grid.22642.30
181 schema:familyName Janhunen
182 schema:givenName Matti
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015111704405.19
184 rdf:type schema:Person
185 sg:pub.10.1007/bf00038926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024781584
186 https://doi.org/10.1007/bf00038926
187 rdf:type schema:CreativeWork
188 sg:pub.10.1023/a:1010956716539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006153854
189 https://doi.org/10.1023/a:1010956716539
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/hdy.1973.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023313557
192 https://doi.org/10.1038/hdy.1973.4
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/hdy.2010.166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004661591
195 https://doi.org/10.1038/hdy.2010.166
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/sj.hdy.6800088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051513978
198 https://doi.org/10.1038/sj.hdy.6800088
199 rdf:type schema:CreativeWork
200 sg:pub.10.1186/1297-9686-36-3-363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017886000
201 https://doi.org/10.1186/1297-9686-36-3-363
202 rdf:type schema:CreativeWork
203 sg:pub.10.1186/1297-9686-36-4-435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032138076
204 https://doi.org/10.1186/1297-9686-36-4-435
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/0144-8609(95)93439-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1031831114
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.aquaculture.2005.02.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051619808
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.aquaculture.2008.03.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027874063
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.aquaculture.2011.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046007280
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/s0044-8486(01)00707-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029178141
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/s0169-5347(99)01595-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007533205
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/s0301-6226(02)00096-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002027089
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s0990-7440(98)89003-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052502880
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1017/s0016672300028883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053767338
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1017/s0016672300032729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053939868
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1017/s1357729800058604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085546140
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1046/j.1420-9101.1990.3050447.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047301549
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1046/j.1420-9101.1991.4010023.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002971419
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1086/281736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058591859
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/icb/23.1.85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059652716
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1098/rspb.2005.3117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007429783
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1111/j.1095-8649.1977.tb04101.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027354033
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1111/j.1095-8649.1981.tb05847.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039723896
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1111/j.1095-8649.2010.02648.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032344171
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1111/j.1365-2109.1994.tb00575.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006200586
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1111/j.1365-2435.2007.01283.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047100528
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1111/raq.12098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037944630
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1139/f77-100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036623985
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1146/annurev.es.24.110193.000343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021444767
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1371/journal.pone.0135133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009946659
255 rdf:type schema:CreativeWork
256 https://doi.org/10.20506/rst.33.1.2275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068792878
257 rdf:type schema:CreativeWork
258 https://doi.org/10.2135/cropsci1981.0011183x002100060033x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069019050
259 rdf:type schema:CreativeWork
260 https://doi.org/10.2307/2408649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069917643
261 rdf:type schema:CreativeWork
262 https://doi.org/10.2307/2533558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069978954
263 rdf:type schema:CreativeWork
264 https://doi.org/10.2527/2004.824973x schema:sameAs https://app.dimensions.ai/details/publication/pub.1070882793
265 rdf:type schema:CreativeWork
266 https://doi.org/10.2527/2005.83149x schema:sameAs https://app.dimensions.ai/details/publication/pub.1070883090
267 rdf:type schema:CreativeWork
268 https://doi.org/10.2527/jas.2007-0282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070886120
269 rdf:type schema:CreativeWork
270 https://doi.org/10.2527/jas.2011-4267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070887985
271 rdf:type schema:CreativeWork
272 https://doi.org/10.2527/jas.2012-5949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070888742
273 rdf:type schema:CreativeWork
274 https://doi.org/10.2527/jas.2014-8583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070889838
275 rdf:type schema:CreativeWork
276 https://doi.org/10.3168/jds.2008-1928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077973383
277 rdf:type schema:CreativeWork
278 https://doi.org/10.3168/jds.s0022-0302(00)75095-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074702974
279 rdf:type schema:CreativeWork
280 https://doi.org/10.3168/jds.s0022-0302(05)72860-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077038451
281 rdf:type schema:CreativeWork
282 https://doi.org/10.3389/fgene.2015.00310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005050344
283 rdf:type schema:CreativeWork
284 https://www.grid.ac/institutes/grid.22642.30 schema:alternateName Natural Resources Institute Finland
285 schema:name Aquaculture, Natural Resources Institute Finland (Luke), Survontie 9 A, 40500, Jyväskylä, Finland
286 Biometrical Genetics, Natural Resources Institute Finland (Luke), Myllytie 1, 31600, Jokioinen, Finland
287 Tervo Fish Farm, Natural Resources Institute Finland (Luke), Huuhtajantie 160, 72210, Tervo, Finland
288 rdf:type schema:Organization
289 https://www.grid.ac/institutes/grid.493490.3 schema:alternateName Research Institute for Aquaculture No1
290 schema:name Research Institute for Aquaculture No. 1 (RIA-1), Dinh Bang, Tu Son, Bac Ninh, Vietnam
291 rdf:type schema:Organization
 




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


...