Genetic analysis of a red tilapia (Oreochromis spp.) population undergoing three generations of selection for increased body weight at harvest View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-11

AUTHORS

Azhar Hamzah, Ngo Phu Thoa, Nguyen Hong Nguyen

ABSTRACT

Quantitative genetic analysis was performed on 10,919 data records collected over three generations from the selection programme for increased body weight at harvest in red tilapia (Oreochromis spp.). They were offspring of 224 sires and 226 dams (50 sires and 60 dams per generation, on average). Linear mixed models were used to analyse body traits (weight, length, width and depth), whereas threshold generalised models assuming probit distribution were employed to examine genetic inheritance of survival rate, sexual maturity and body colour. The estimates of heritability for traits studied (body weight, standard length, body width, body depth, body colour, early sexual maturation and survival) across statistical models were moderate to high (0.13-0.45). Genetic correlations among body traits and survival were high and positive (0.68-0.96). Body length and width exhibited negative genetic correlations with body colour (- 0.47 to - 0.25). Sexual maturity was genetically correlated positively with measurements of body traits (weight and length). Direct and correlated genetic responses to selection were measured as estimated breeding values in each generation and expressed in genetic standard deviation units (σG). The cumulative improvement achieved for harvest body weight was 1.72 σG after three generations or 12.5% per generation when the gain was expressed as a percentage of the base population. Selection for improved body weight also resulted in correlated increase in other body traits (length, width and depth) and survival rate (ranging from 0.25 to 0.81 genetic standard deviation units). Avoidance of black spot parent matings also improved the overall red colour of the selected population. It is concluded that the selective breeding programme for red tilapia has succeeded in achieving significant genetic improvement for a range of commercially important traits in this species, and the large genetic variation in body colour and survival also shows that there are prospects for future improvement of these traits in this population of red tilapia. More... »

PAGES

509-519

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13353-017-0411-8

DOI

http://dx.doi.org/10.1007/s13353-017-0411-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092089480

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28980200


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": "Body Weight", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breeding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Selection, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tilapia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Weight Gain", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "National Prawn Fry Production and Research Centre, Kg. Pulau Sayak, 08500, Kota Kuala Muda, Kedah, Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamzah", 
        "givenName": "Azhar", 
        "id": "sg:person.012127120053.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012127120053.34"
        ], 
        "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, Tu Son, B\u1eafc Ninh, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thoa", 
        "givenName": "Ngo Phu", 
        "id": "sg:person.01033304361.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033304361.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of the Sunshine Coast", 
          "id": "https://www.grid.ac/institutes/grid.1034.6", 
          "name": [
            "University of the Sunshine Coast, 4558, Maroochydore, QLD, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nguyen", 
        "givenName": "Nguyen Hong", 
        "id": "sg:person.0623056206.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623056206.02"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10499-012-9553-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001962364", 
          "https://doi.org/10.1007/s10499-012-9553-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2012.12.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003421091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2007.08.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004664555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2013.07.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005466847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/faf.12122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006900817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/are.12859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008707402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2109.2012.03233.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010253506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2013.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010923180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.108.089896", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011827403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.108.089896", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011827403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2009.03.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012975947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2013.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013946417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2011.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014219195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2006.10.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015707042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1753-5131.2010.01011.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016088052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1753-5131.2010.01011.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016088052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0044-8486(90)90126-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017536213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0044-8486(90)90126-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017536213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-74487-7_5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017814037", 
          "https://doi.org/10.1007/978-3-642-74487-7_5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2014.02.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018820785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2013.04.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018943959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2109.2004.01016.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023582743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13353-016-0338-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024250436", 
          "https://doi.org/10.1007/s13353-016-0338-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2015.02.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027368786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12863-015-0256-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031014825", 
          "https://doi.org/10.1186/s12863-015-0256-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12863-015-0256-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031014825", 
          "https://doi.org/10.1186/s12863-015-0256-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2014.06.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031641358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12863-014-0132-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032194540", 
          "https://doi.org/10.1186/s12863-014-0132-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12863-014-0132-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032194540", 
          "https://doi.org/10.1186/s12863-014-0132-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-6226(94)90057-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033717460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-6226(94)90057-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033717460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2109.2001.00561.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033871550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/mf13111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040039115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2004.03.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040440027"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10236244.2015.1073457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041911634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2010.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045541776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2010.07.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046244249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2014.02.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046252837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2013.09.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051297248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0044-8486(99)00132-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051374030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077357290", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fgene.2017.00082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085991027"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-11", 
    "datePublishedReg": "2017-11-01", 
    "description": "Quantitative genetic analysis was performed on 10,919 data records collected over three generations from the selection programme for increased body weight at harvest in red tilapia (Oreochromis spp.). They were offspring of 224 sires and 226 dams (50 sires and 60 dams per generation, on average). Linear mixed models were used to analyse body traits (weight, length, width and depth), whereas threshold generalised models assuming probit distribution were employed to examine genetic inheritance of survival rate, sexual maturity and body colour. The estimates of heritability for traits studied (body weight, standard length, body width, body depth, body colour, early sexual maturation and survival) across statistical models were moderate to high (0.13-0.45). Genetic correlations among body traits and survival were high and positive (0.68-0.96). Body length and width exhibited negative genetic correlations with body colour (-\u00a00.47 to -\u00a00.25). Sexual maturity was genetically correlated positively with measurements of body traits (weight and length). Direct and correlated genetic responses to selection were measured as estimated breeding values in each generation and expressed in genetic standard deviation units (\u03c3G). The cumulative improvement achieved for harvest body weight was 1.72 \u03c3G after three generations or 12.5% per generation when the gain was expressed as a percentage of the base population. Selection for improved body weight also resulted in correlated increase in other body traits (length, width and depth) and survival rate (ranging from 0.25 to 0.81 genetic standard deviation units). Avoidance of black spot parent matings also improved the overall red colour of the selected population. It is concluded that the selective breeding programme for red tilapia has succeeded in achieving significant genetic improvement for a range of commercially important traits in this species, and the large genetic variation in body colour and survival also shows that there are prospects for future improvement of these traits in this population of red tilapia.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13353-017-0411-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1114642", 
        "issn": [
          "1234-1983", 
          "2190-3883"
        ], 
        "name": "Journal of Applied Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "58"
      }
    ], 
    "name": "Genetic analysis of a red tilapia (Oreochromis spp.) population undergoing three generations of selection for increased body weight at harvest", 
    "pagination": "509-519", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "dae313c228ddf1608a0969e4493a487ee6e0dbeebe5ae7d74dc9729fd4292260"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28980200"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9514582"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13353-017-0411-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092089480"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13353-017-0411-8", 
      "https://app.dimensions.ai/details/publication/pub.1092089480"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:04", 
    "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_8664_00000601.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs13353-017-0411-8"
  }
]
 

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.10.1007/s13353-017-0411-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13353-017-0411-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13353-017-0411-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13353-017-0411-8'


 

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

228 TRIPLES      21 PREDICATES      72 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13353-017-0411-8 schema:about N13945b1b9c054164b74a62e7052e19d5
2 N71f1f29697b846369456aabd482249b3
3 N8993cd1deeb14191a152eb1832f0b628
4 N9fae864adca74806961bf8a29b2f69c5
5 Naf411c87dac044f4ad9e263d846701a8
6 Nd987871723f347059be8ab775380ef47
7 Ne4908f58ad5b42aca8402d35ac751157
8 anzsrc-for:06
9 anzsrc-for:0604
10 schema:author N4b7497aae576402a96e87a89ec42a6bb
11 schema:citation sg:pub.10.1007/978-3-642-74487-7_5
12 sg:pub.10.1007/s10499-012-9553-1
13 sg:pub.10.1007/s13353-016-0338-5
14 sg:pub.10.1186/s12863-014-0132-5
15 sg:pub.10.1186/s12863-015-0256-2
16 https://app.dimensions.ai/details/publication/pub.1077357290
17 https://doi.org/10.1016/0044-8486(90)90126-8
18 https://doi.org/10.1016/0301-6226(94)90057-4
19 https://doi.org/10.1016/j.aquaculture.2004.03.004
20 https://doi.org/10.1016/j.aquaculture.2006.10.025
21 https://doi.org/10.1016/j.aquaculture.2007.08.013
22 https://doi.org/10.1016/j.aquaculture.2009.03.019
23 https://doi.org/10.1016/j.aquaculture.2010.03.016
24 https://doi.org/10.1016/j.aquaculture.2010.07.033
25 https://doi.org/10.1016/j.aquaculture.2011.11.007
26 https://doi.org/10.1016/j.aquaculture.2012.12.022
27 https://doi.org/10.1016/j.aquaculture.2013.03.002
28 https://doi.org/10.1016/j.aquaculture.2013.04.027
29 https://doi.org/10.1016/j.aquaculture.2013.06.005
30 https://doi.org/10.1016/j.aquaculture.2013.07.015
31 https://doi.org/10.1016/j.aquaculture.2013.09.047
32 https://doi.org/10.1016/j.aquaculture.2014.02.024
33 https://doi.org/10.1016/j.aquaculture.2014.02.026
34 https://doi.org/10.1016/j.aquaculture.2014.06.026
35 https://doi.org/10.1016/j.aquaculture.2015.02.040
36 https://doi.org/10.1016/s0044-8486(99)00132-5
37 https://doi.org/10.1046/j.1365-2109.2001.00561.x
38 https://doi.org/10.1071/mf13111
39 https://doi.org/10.1080/10236244.2015.1073457
40 https://doi.org/10.1111/are.12859
41 https://doi.org/10.1111/faf.12122
42 https://doi.org/10.1111/j.1365-2109.2004.01016.x
43 https://doi.org/10.1111/j.1365-2109.2012.03233.x
44 https://doi.org/10.1111/j.1753-5131.2010.01011.x
45 https://doi.org/10.1534/genetics.108.089896
46 https://doi.org/10.3389/fgene.2017.00082
47 schema:datePublished 2017-11
48 schema:datePublishedReg 2017-11-01
49 schema:description Quantitative genetic analysis was performed on 10,919 data records collected over three generations from the selection programme for increased body weight at harvest in red tilapia (Oreochromis spp.). They were offspring of 224 sires and 226 dams (50 sires and 60 dams per generation, on average). Linear mixed models were used to analyse body traits (weight, length, width and depth), whereas threshold generalised models assuming probit distribution were employed to examine genetic inheritance of survival rate, sexual maturity and body colour. The estimates of heritability for traits studied (body weight, standard length, body width, body depth, body colour, early sexual maturation and survival) across statistical models were moderate to high (0.13-0.45). Genetic correlations among body traits and survival were high and positive (0.68-0.96). Body length and width exhibited negative genetic correlations with body colour (- 0.47 to - 0.25). Sexual maturity was genetically correlated positively with measurements of body traits (weight and length). Direct and correlated genetic responses to selection were measured as estimated breeding values in each generation and expressed in genetic standard deviation units (σ<sub>G</sub>). The cumulative improvement achieved for harvest body weight was 1.72 σ<sub>G</sub> after three generations or 12.5% per generation when the gain was expressed as a percentage of the base population. Selection for improved body weight also resulted in correlated increase in other body traits (length, width and depth) and survival rate (ranging from 0.25 to 0.81 genetic standard deviation units). Avoidance of black spot parent matings also improved the overall red colour of the selected population. It is concluded that the selective breeding programme for red tilapia has succeeded in achieving significant genetic improvement for a range of commercially important traits in this species, and the large genetic variation in body colour and survival also shows that there are prospects for future improvement of these traits in this population of red tilapia.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree true
53 schema:isPartOf Necd11af3c85c4b6d8f86d292aa1c23d3
54 Nf528e18fc41444f58a3bd401fa78fb21
55 sg:journal.1114642
56 schema:name Genetic analysis of a red tilapia (Oreochromis spp.) population undergoing three generations of selection for increased body weight at harvest
57 schema:pagination 509-519
58 schema:productId N00a9adbe34df490887ff2d2e5b5cc3b3
59 N6e8b1e408ab94b0c9b466a2793402104
60 N9195a2c8b5df4e3788138d46a1859626
61 Nc9601c061de94486882f2d39e876d7e0
62 Nd3184f93c45d41b38b3d154beec198b2
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092089480
64 https://doi.org/10.1007/s13353-017-0411-8
65 schema:sdDatePublished 2019-04-10T16:04
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher N71f210c603b84f9e8a4c75ac9512d2b9
68 schema:url https://link.springer.com/10.1007%2Fs13353-017-0411-8
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N00a9adbe34df490887ff2d2e5b5cc3b3 schema:name nlm_unique_id
73 schema:value 9514582
74 rdf:type schema:PropertyValue
75 N13945b1b9c054164b74a62e7052e19d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Phenotype
77 rdf:type schema:DefinedTerm
78 N1616de4fef36422e8e645726944f699c rdf:first sg:person.01033304361.85
79 rdf:rest Nc9132f650349490283d43e6cbda6dece
80 N4b7497aae576402a96e87a89ec42a6bb rdf:first sg:person.012127120053.34
81 rdf:rest N1616de4fef36422e8e645726944f699c
82 N6e8b1e408ab94b0c9b466a2793402104 schema:name readcube_id
83 schema:value dae313c228ddf1608a0969e4493a487ee6e0dbeebe5ae7d74dc9729fd4292260
84 rdf:type schema:PropertyValue
85 N71f1f29697b846369456aabd482249b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Weight Gain
87 rdf:type schema:DefinedTerm
88 N71f210c603b84f9e8a4c75ac9512d2b9 schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N789294d8036f4fafa13ac336f2819268 schema:name National Prawn Fry Production and Research Centre, Kg. Pulau Sayak, 08500, Kota Kuala Muda, Kedah, Malaysia
91 rdf:type schema:Organization
92 N8993cd1deeb14191a152eb1832f0b628 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Animals
94 rdf:type schema:DefinedTerm
95 N9195a2c8b5df4e3788138d46a1859626 schema:name dimensions_id
96 schema:value pub.1092089480
97 rdf:type schema:PropertyValue
98 N9fae864adca74806961bf8a29b2f69c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Body Weight
100 rdf:type schema:DefinedTerm
101 Naf411c87dac044f4ad9e263d846701a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Tilapia
103 rdf:type schema:DefinedTerm
104 Nc9132f650349490283d43e6cbda6dece rdf:first sg:person.0623056206.02
105 rdf:rest rdf:nil
106 Nc9601c061de94486882f2d39e876d7e0 schema:name pubmed_id
107 schema:value 28980200
108 rdf:type schema:PropertyValue
109 Nd3184f93c45d41b38b3d154beec198b2 schema:name doi
110 schema:value 10.1007/s13353-017-0411-8
111 rdf:type schema:PropertyValue
112 Nd987871723f347059be8ab775380ef47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Breeding
114 rdf:type schema:DefinedTerm
115 Ne4908f58ad5b42aca8402d35ac751157 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Selection, Genetic
117 rdf:type schema:DefinedTerm
118 Necd11af3c85c4b6d8f86d292aa1c23d3 schema:issueNumber 4
119 rdf:type schema:PublicationIssue
120 Nf528e18fc41444f58a3bd401fa78fb21 schema:volumeNumber 58
121 rdf:type schema:PublicationVolume
122 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
123 schema:name Biological Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
126 schema:name Genetics
127 rdf:type schema:DefinedTerm
128 sg:journal.1114642 schema:issn 1234-1983
129 2190-3883
130 schema:name Journal of Applied Genetics
131 rdf:type schema:Periodical
132 sg:person.01033304361.85 schema:affiliation https://www.grid.ac/institutes/grid.493490.3
133 schema:familyName Thoa
134 schema:givenName Ngo Phu
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033304361.85
136 rdf:type schema:Person
137 sg:person.012127120053.34 schema:affiliation N789294d8036f4fafa13ac336f2819268
138 schema:familyName Hamzah
139 schema:givenName Azhar
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012127120053.34
141 rdf:type schema:Person
142 sg:person.0623056206.02 schema:affiliation https://www.grid.ac/institutes/grid.1034.6
143 schema:familyName Nguyen
144 schema:givenName Nguyen Hong
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623056206.02
146 rdf:type schema:Person
147 sg:pub.10.1007/978-3-642-74487-7_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017814037
148 https://doi.org/10.1007/978-3-642-74487-7_5
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s10499-012-9553-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001962364
151 https://doi.org/10.1007/s10499-012-9553-1
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s13353-016-0338-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024250436
154 https://doi.org/10.1007/s13353-016-0338-5
155 rdf:type schema:CreativeWork
156 sg:pub.10.1186/s12863-014-0132-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032194540
157 https://doi.org/10.1186/s12863-014-0132-5
158 rdf:type schema:CreativeWork
159 sg:pub.10.1186/s12863-015-0256-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031014825
160 https://doi.org/10.1186/s12863-015-0256-2
161 rdf:type schema:CreativeWork
162 https://app.dimensions.ai/details/publication/pub.1077357290 schema:CreativeWork
163 https://doi.org/10.1016/0044-8486(90)90126-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017536213
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/0301-6226(94)90057-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033717460
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.aquaculture.2004.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040440027
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.aquaculture.2006.10.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015707042
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.aquaculture.2007.08.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004664555
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.aquaculture.2009.03.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012975947
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.aquaculture.2010.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045541776
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.aquaculture.2010.07.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046244249
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.aquaculture.2011.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014219195
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.aquaculture.2012.12.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003421091
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.aquaculture.2013.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013946417
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.aquaculture.2013.04.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018943959
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.aquaculture.2013.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010923180
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.aquaculture.2013.07.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005466847
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.aquaculture.2013.09.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051297248
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.aquaculture.2014.02.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018820785
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.aquaculture.2014.02.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046252837
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.aquaculture.2014.06.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031641358
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.aquaculture.2015.02.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027368786
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/s0044-8486(99)00132-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051374030
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1046/j.1365-2109.2001.00561.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033871550
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1071/mf13111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040039115
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1080/10236244.2015.1073457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041911634
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1111/are.12859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008707402
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1111/faf.12122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006900817
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1111/j.1365-2109.2004.01016.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023582743
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1111/j.1365-2109.2012.03233.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010253506
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1111/j.1753-5131.2010.01011.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016088052
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1534/genetics.108.089896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011827403
220 rdf:type schema:CreativeWork
221 https://doi.org/10.3389/fgene.2017.00082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085991027
222 rdf:type schema:CreativeWork
223 https://www.grid.ac/institutes/grid.1034.6 schema:alternateName University of the Sunshine Coast
224 schema:name University of the Sunshine Coast, 4558, Maroochydore, QLD, Australia
225 rdf:type schema:Organization
226 https://www.grid.ac/institutes/grid.493490.3 schema:alternateName Research Institute for Aquaculture No1
227 schema:name Research Institute for Aquaculture No.1, Tu Son, Bắc Ninh, Vietnam
228 rdf:type schema:Organization
 




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


...