Investigating the genetic architecture of conception and non-return rates in Holstein cattle under heat stress conditions View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-02

AUTHORS

Saeid Ansari-Mahyari, Mohammad Reza Ojali, Mehrnush Forutan, Ahmad Riasi, Luiz F. Brito

ABSTRACT

This study aimed to investigate the genetic variability of conception rate (CR) and non-return rate (NR) in Iranian dairy cows under heat stress conditions. A total of 34,304 records of CR, and NR at 45 days (NR45) and 90 days (NR90) after the first insemination, from 21,405 Holstein cows were included in this study. The weather records were obtained from seven meteorological stations located at a distance of less than 70 km from the farms. Temperature-Humidity Index (THI) was determined for each record on the insemination day. The statistical models for CR, NR45, and NR90 included the fixed effects of herd-year-season, parity, milk yield, and THI. Genetic components were estimated using an animal model and fitting random regression models on THI based on the Bayesian method. Results showed similar decreasing trends for CR, NR45, and NR90 when increasing the THI levels. The additive genetic variance of heat tolerance for CR, NR45, and NR90 were 0.008 ± 0.0004, 0.0262 ± 0.007, and 0.0254 ± 0.006, respectively. The additive genetic variance of heat tolerance increased directly with THI, and therefore, our findings indicate that a combined selection using heat tolerance can be considered for genetic evaluation of reproduction traits under heat stress conditions. More... »

PAGES

1-7

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11250-019-01875-5

DOI

http://dx.doi.org/10.1007/s11250-019-01875-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113180054

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30941706


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Isfahan University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411751.7", 
          "name": [
            "Department of Animal Science, College of Agriculture, Isfahan University of Technology, 84156-83111, Isfahan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ansari-Mahyari", 
        "givenName": "Saeid", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Isfahan University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411751.7", 
          "name": [
            "Department of Animal Science, College of Agriculture, Isfahan University of Technology, 84156-83111, Isfahan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ojali", 
        "givenName": "Mohammad Reza", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Isfahan University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411751.7", 
          "name": [
            "Department of Animal Science, College of Agriculture, Isfahan University of Technology, 84156-83111, Isfahan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forutan", 
        "givenName": "Mehrnush", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Isfahan University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411751.7", 
          "name": [
            "Department of Animal Science, College of Agriculture, Isfahan University of Technology, 84156-83111, Isfahan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Riasi", 
        "givenName": "Ahmad", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Purdue University", 
          "id": "https://www.grid.ac/institutes/grid.169077.e", 
          "name": [
            "Department of Animal Sciences, Purdue University, 47907, West Lafayette, IN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brito", 
        "givenName": "Luiz F.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3168/jds.2011-4497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000299125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2011-4497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000299125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2012-5947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011291542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2010-3399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011887966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.livsci.2013.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019043934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.livsci.2013.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019043934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00431672.1959.9926960", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021945306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0093-691x(03)00126-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022487124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0093-691x(03)00126-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022487124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2010-4008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031948304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-072169323-1.50059-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032029022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0301-6226(01)00330-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032501699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-012-0571-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039657952", 
          "https://doi.org/10.1007/s00484-012-0571-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2015-9685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046294169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2015-9685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046294169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2013-6611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048147602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.theriogenology.2007.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049908121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/1874331501105010063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069231324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/1874331501105010063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069231324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(99)75516-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074574526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(00)75094-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074702973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(02)74396-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075205198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(02)74397-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075205199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(03)73980-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076611942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(04)73434-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076893797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(05)72895-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077054785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(05)72895-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077054785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(06)72541-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077324432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2006-513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077386936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2006-574", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077402727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2009-2127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077933266"
        ], 
        "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/10.3168/jds.2008-1928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077973383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078660536", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(94)77149-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082569944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2016.1114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084417719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(03)74040-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086087997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(75)84633-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086088389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.s0022-0302(76)84305-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102573814"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04-02", 
    "datePublishedReg": "2019-04-02", 
    "description": "This study aimed to investigate the genetic variability of conception rate (CR) and non-return rate (NR) in Iranian dairy cows under heat stress conditions. A total of 34,304 records of CR, and NR at 45\u00a0days (NR45) and 90\u00a0days (NR90) after the first insemination, from 21,405 Holstein cows were included in this study. The weather records were obtained from seven meteorological stations located at a distance of less than 70\u00a0km from the farms. Temperature-Humidity Index (THI) was determined for each record on the insemination day. The statistical models for CR, NR45, and NR90 included the fixed effects of herd-year-season, parity, milk yield, and THI. Genetic components were estimated using an animal model and fitting random regression models on THI based on the Bayesian method. Results showed similar decreasing trends for CR, NR45, and NR90 when increasing the THI levels. The additive genetic variance of heat tolerance for CR, NR45, and NR90 were 0.008\u2009\u00b1\u20090.0004, 0.0262\u2009\u00b1\u20090.007, and 0.0254\u2009\u00b1\u20090.006, respectively. The additive genetic variance of heat tolerance increased directly with THI, and therefore, our findings indicate that a combined selection using heat tolerance can be considered for genetic evaluation of reproduction traits under heat stress conditions.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11250-019-01875-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1055206", 
        "issn": [
          "0049-4747", 
          "1573-7438"
        ], 
        "name": "Tropical Animal Health and Production", 
        "type": "Periodical"
      }
    ], 
    "name": "Investigating the genetic architecture of conception and non-return rates in Holstein cattle under heat stress conditions", 
    "pagination": "1-7", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11250-019-01875-5"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2e517a9a612175b017e733d244bd69278800592024e63faaacd6c8ce8e68d6ff"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113180054"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "1277355"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30941706"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11250-019-01875-5", 
      "https://app.dimensions.ai/details/publication/pub.1113180054"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:13", 
    "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/v90/0000000376_0000000376/records_56159_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11250-019-01875-5"
  }
]
 

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/s11250-019-01875-5'

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/s11250-019-01875-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11250-019-01875-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11250-019-01875-5'


 

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

185 TRIPLES      21 PREDICATES      58 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11250-019-01875-5 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nb4c2677143a94cfb971123824e322f50
4 schema:citation sg:pub.10.1007/s00484-012-0571-5
5 https://app.dimensions.ai/details/publication/pub.1078660536
6 https://doi.org/10.1016/b978-072169323-1.50059-3
7 https://doi.org/10.1016/j.livsci.2013.08.009
8 https://doi.org/10.1016/j.theriogenology.2007.02.009
9 https://doi.org/10.1016/s0093-691x(03)00126-2
10 https://doi.org/10.1016/s0301-6226(01)00330-x
11 https://doi.org/10.1080/00431672.1959.9926960
12 https://doi.org/10.2174/1874331501105010063
13 https://doi.org/10.2527/jas.2016.1114
14 https://doi.org/10.3168/jds.2006-513
15 https://doi.org/10.3168/jds.2006-574
16 https://doi.org/10.3168/jds.2008-1928
17 https://doi.org/10.3168/jds.2009-2127
18 https://doi.org/10.3168/jds.2010-3399
19 https://doi.org/10.3168/jds.2010-4008
20 https://doi.org/10.3168/jds.2011-4497
21 https://doi.org/10.3168/jds.2012-5947
22 https://doi.org/10.3168/jds.2013-6611
23 https://doi.org/10.3168/jds.2015-9685
24 https://doi.org/10.3168/jds.s0022-0302(00)75094-6
25 https://doi.org/10.3168/jds.s0022-0302(02)74396-8
26 https://doi.org/10.3168/jds.s0022-0302(02)74397-x
27 https://doi.org/10.3168/jds.s0022-0302(03)73980-0
28 https://doi.org/10.3168/jds.s0022-0302(03)74040-5
29 https://doi.org/10.3168/jds.s0022-0302(04)73434-7
30 https://doi.org/10.3168/jds.s0022-0302(05)72895-2
31 https://doi.org/10.3168/jds.s0022-0302(06)72541-3
32 https://doi.org/10.3168/jds.s0022-0302(75)84633-9
33 https://doi.org/10.3168/jds.s0022-0302(76)84305-6
34 https://doi.org/10.3168/jds.s0022-0302(94)77149-6
35 https://doi.org/10.3168/jds.s0022-0302(99)75516-5
36 schema:datePublished 2019-04-02
37 schema:datePublishedReg 2019-04-02
38 schema:description This study aimed to investigate the genetic variability of conception rate (CR) and non-return rate (NR) in Iranian dairy cows under heat stress conditions. A total of 34,304 records of CR, and NR at 45 days (NR45) and 90 days (NR90) after the first insemination, from 21,405 Holstein cows were included in this study. The weather records were obtained from seven meteorological stations located at a distance of less than 70 km from the farms. Temperature-Humidity Index (THI) was determined for each record on the insemination day. The statistical models for CR, NR45, and NR90 included the fixed effects of herd-year-season, parity, milk yield, and THI. Genetic components were estimated using an animal model and fitting random regression models on THI based on the Bayesian method. Results showed similar decreasing trends for CR, NR45, and NR90 when increasing the THI levels. The additive genetic variance of heat tolerance for CR, NR45, and NR90 were 0.008 ± 0.0004, 0.0262 ± 0.007, and 0.0254 ± 0.006, respectively. The additive genetic variance of heat tolerance increased directly with THI, and therefore, our findings indicate that a combined selection using heat tolerance can be considered for genetic evaluation of reproduction traits under heat stress conditions.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf sg:journal.1055206
43 schema:name Investigating the genetic architecture of conception and non-return rates in Holstein cattle under heat stress conditions
44 schema:pagination 1-7
45 schema:productId N19fd55fa11a8496482e1222c24cecc60
46 N5b26d95fbd644b218142c00d55490fe6
47 Nda9f1f1053f048ce8cd8beed99bed6e0
48 Ne87bbbcc766f42daad1482058fcac80e
49 Nf306c6a6934441d385380555763df7b6
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113180054
51 https://doi.org/10.1007/s11250-019-01875-5
52 schema:sdDatePublished 2019-04-15T09:13
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N12df24ea00ce43efb7252b4e28d4e46c
55 schema:url https://link.springer.com/10.1007%2Fs11250-019-01875-5
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N105d8e966a7d42faa4f96501c46062dd schema:affiliation https://www.grid.ac/institutes/grid.411751.7
60 schema:familyName Ojali
61 schema:givenName Mohammad Reza
62 rdf:type schema:Person
63 N12df24ea00ce43efb7252b4e28d4e46c schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N19fd55fa11a8496482e1222c24cecc60 schema:name pubmed_id
66 schema:value 30941706
67 rdf:type schema:PropertyValue
68 N41c58d5069304ca292b26f028fac0a0a rdf:first N105d8e966a7d42faa4f96501c46062dd
69 rdf:rest N50ee6cbd0d844844982ff7dba51c60d5
70 N4939b1c3e5f4480c9162734327e2b5d1 schema:affiliation https://www.grid.ac/institutes/grid.411751.7
71 schema:familyName Forutan
72 schema:givenName Mehrnush
73 rdf:type schema:Person
74 N50ee6cbd0d844844982ff7dba51c60d5 rdf:first N4939b1c3e5f4480c9162734327e2b5d1
75 rdf:rest Nec6662bcd5034653bc2451df4c924310
76 N52d6a3d2fc2e400fab64e1bf69c3ffb7 rdf:first N8ce4b33abb104c1f837d607202261bc4
77 rdf:rest rdf:nil
78 N5b26d95fbd644b218142c00d55490fe6 schema:name doi
79 schema:value 10.1007/s11250-019-01875-5
80 rdf:type schema:PropertyValue
81 N8ce4b33abb104c1f837d607202261bc4 schema:affiliation https://www.grid.ac/institutes/grid.169077.e
82 schema:familyName Brito
83 schema:givenName Luiz F.
84 rdf:type schema:Person
85 N9649c9301dcb4408aec9a3c298f75af7 schema:affiliation https://www.grid.ac/institutes/grid.411751.7
86 schema:familyName Riasi
87 schema:givenName Ahmad
88 rdf:type schema:Person
89 Nb4c2677143a94cfb971123824e322f50 rdf:first Nbdc2abc1096b49e79138ab2168fafb7d
90 rdf:rest N41c58d5069304ca292b26f028fac0a0a
91 Nbdc2abc1096b49e79138ab2168fafb7d schema:affiliation https://www.grid.ac/institutes/grid.411751.7
92 schema:familyName Ansari-Mahyari
93 schema:givenName Saeid
94 rdf:type schema:Person
95 Nda9f1f1053f048ce8cd8beed99bed6e0 schema:name nlm_unique_id
96 schema:value 1277355
97 rdf:type schema:PropertyValue
98 Ne87bbbcc766f42daad1482058fcac80e schema:name dimensions_id
99 schema:value pub.1113180054
100 rdf:type schema:PropertyValue
101 Nec6662bcd5034653bc2451df4c924310 rdf:first N9649c9301dcb4408aec9a3c298f75af7
102 rdf:rest N52d6a3d2fc2e400fab64e1bf69c3ffb7
103 Nf306c6a6934441d385380555763df7b6 schema:name readcube_id
104 schema:value 2e517a9a612175b017e733d244bd69278800592024e63faaacd6c8ce8e68d6ff
105 rdf:type schema:PropertyValue
106 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
107 schema:name Biological Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
110 schema:name Genetics
111 rdf:type schema:DefinedTerm
112 sg:journal.1055206 schema:issn 0049-4747
113 1573-7438
114 schema:name Tropical Animal Health and Production
115 rdf:type schema:Periodical
116 sg:pub.10.1007/s00484-012-0571-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039657952
117 https://doi.org/10.1007/s00484-012-0571-5
118 rdf:type schema:CreativeWork
119 https://app.dimensions.ai/details/publication/pub.1078660536 schema:CreativeWork
120 https://doi.org/10.1016/b978-072169323-1.50059-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032029022
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.livsci.2013.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019043934
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.theriogenology.2007.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049908121
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/s0093-691x(03)00126-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022487124
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/s0301-6226(01)00330-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032501699
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1080/00431672.1959.9926960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021945306
131 rdf:type schema:CreativeWork
132 https://doi.org/10.2174/1874331501105010063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069231324
133 rdf:type schema:CreativeWork
134 https://doi.org/10.2527/jas.2016.1114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084417719
135 rdf:type schema:CreativeWork
136 https://doi.org/10.3168/jds.2006-513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077386936
137 rdf:type schema:CreativeWork
138 https://doi.org/10.3168/jds.2006-574 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077402727
139 rdf:type schema:CreativeWork
140 https://doi.org/10.3168/jds.2008-1928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077973383
141 rdf:type schema:CreativeWork
142 https://doi.org/10.3168/jds.2009-2127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077933266
143 rdf:type schema:CreativeWork
144 https://doi.org/10.3168/jds.2010-3399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011887966
145 rdf:type schema:CreativeWork
146 https://doi.org/10.3168/jds.2010-4008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031948304
147 rdf:type schema:CreativeWork
148 https://doi.org/10.3168/jds.2011-4497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000299125
149 rdf:type schema:CreativeWork
150 https://doi.org/10.3168/jds.2012-5947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011291542
151 rdf:type schema:CreativeWork
152 https://doi.org/10.3168/jds.2013-6611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048147602
153 rdf:type schema:CreativeWork
154 https://doi.org/10.3168/jds.2015-9685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046294169
155 rdf:type schema:CreativeWork
156 https://doi.org/10.3168/jds.s0022-0302(00)75094-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074702973
157 rdf:type schema:CreativeWork
158 https://doi.org/10.3168/jds.s0022-0302(02)74396-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075205198
159 rdf:type schema:CreativeWork
160 https://doi.org/10.3168/jds.s0022-0302(02)74397-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1075205199
161 rdf:type schema:CreativeWork
162 https://doi.org/10.3168/jds.s0022-0302(03)73980-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076611942
163 rdf:type schema:CreativeWork
164 https://doi.org/10.3168/jds.s0022-0302(03)74040-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086087997
165 rdf:type schema:CreativeWork
166 https://doi.org/10.3168/jds.s0022-0302(04)73434-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076893797
167 rdf:type schema:CreativeWork
168 https://doi.org/10.3168/jds.s0022-0302(05)72895-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077054785
169 rdf:type schema:CreativeWork
170 https://doi.org/10.3168/jds.s0022-0302(06)72541-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077324432
171 rdf:type schema:CreativeWork
172 https://doi.org/10.3168/jds.s0022-0302(75)84633-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086088389
173 rdf:type schema:CreativeWork
174 https://doi.org/10.3168/jds.s0022-0302(76)84305-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102573814
175 rdf:type schema:CreativeWork
176 https://doi.org/10.3168/jds.s0022-0302(94)77149-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082569944
177 rdf:type schema:CreativeWork
178 https://doi.org/10.3168/jds.s0022-0302(99)75516-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074574526
179 rdf:type schema:CreativeWork
180 https://www.grid.ac/institutes/grid.169077.e schema:alternateName Purdue University
181 schema:name Department of Animal Sciences, Purdue University, 47907, West Lafayette, IN, USA
182 rdf:type schema:Organization
183 https://www.grid.ac/institutes/grid.411751.7 schema:alternateName Isfahan University of Technology
184 schema:name Department of Animal Science, College of Agriculture, Isfahan University of Technology, 84156-83111, Isfahan, Iran
185 rdf:type schema:Organization
 




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


...