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2016 | 63 | 2 | 359-364

Article title

Association and polymorphism study of seven candidate genes with reproductive traits in three pig breeds in Hungary

Content

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Languages of publication

EN

Abstracts

EN
Seven genes (BF, EGF, ESR, FSHB, H2AFZ, LEP and PRLP) were studied as candidate gene influencing eleven reproduction traits (interval between litters (IBL), percent of litter (PL), number of litters (NL), number of piglets born dead (NBD), number of piglet born alive (NBA), total number born (TNB), mean of born alive (MBA), mean of born dead (MBD), mean of born total (MBT), mean of piglets at 21 days of age (M21D) and growth rate (GR) in three pig breeds (Hungarian Large White (HLW), Duroc and Pietrain) by PCR-RFLP. Based on the observed vs. expected genotypes frequencies populations across loci were in Hardy-Weinberg equilibrium (P>0.05). In case HLW breed ESR and FSHβ genes were in disequilibrium. Association study suggested that only EGF gene showed significant influence on the trait NBA and TNB. The AA genotype are preferable for sows, associated with higher NBA and TNB. The longest IBL, and the highest NL is associated with AB and AA genotype of EGF gene. IBL is significantly shorter in case of pigs with AB and AA alleles than BB alleles of PRLP genes. Selection for these SNPs could improve the reproductivity in the studied breeds.

Keywords

Year

Volume

63

Issue

2

Pages

359-364

Physical description

Dates

published
2016
received
2015-09-09
revised
2016-02-19
accepted
2016-02-24
(unknown)
2016-04-26

Contributors

  • Institute of Animal Science, Biotechnology and Nature Conservation, University of Debrecen, Debrecen, Hungary
author
  • Institute of Sectoral Economics and Methodology, University of Debrecen, Debrecen, Hungary
  • Institute of Animal Science, Biotechnology and Nature Conservation, University of Debrecen, Debrecen, Hungary
author
  • Institute of Animal Science, Biotechnology and Nature Conservation, University of Debrecen, Debrecen, Hungary

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.bwnjournal-article-abpv63p359kz
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