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Genome-wide association study for ethological traits of purebred Landrace and Yorkshire populationsGenome-wide association study for ethological traits of purebred Landrace and Yorkshire populations

Other Titles
Genome-wide association study for ethological traits of purebred Landrace and Yorkshire populations
Authors
최태정강호찬이재봉유채경김은호임신재임현태
Issue Date
2020
Publisher
경상국립대학교 농업생명과학연구원
Keywords
Ethological traits; Genome-wide association study; Single nucleotide polymorphism
Citation
농업생명과학연구, v.54, no.2, pp 1 - 8
Pages
8
Indexed
KCI
Journal Title
농업생명과학연구
Volume
54
Number
2
Start Page
1
End Page
8
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/8069
DOI
10.14397/jals.2020.54.2.1
ISSN
1598-5504
2383-8272
Abstract
Some behaviors of pigs that are not expressed in the wild state or are observed in a small minority of individuals after groups of pigs are mixed have been reported to indicate poor welfare. A GWAS analysis was performed by measuring the frequency and duration of the four ethological traits and using the mlma command provided by the genome-wide complex trait analysis (GCTA). The positional candidate genes on significantly identified single nucleotide polymorphism (SNP) markers were identified by using the dbSNP provided by the National Center for Biotechnology Information (NCBI). When the GWAS analysis was applied the 43,565 (of the purebred Landrace population) and 41,700 (of the purebred Yorkshire population) SNP markers, 1, 2, and 1 significant SNP markers were identified for the traits of feeding frequency (LOC110262254), locomotion time (LOC110260361), and locomotion frequency (LOC110260361) of the purebred Landrace population, respectively. Meanwhile, 1 and 7 significant SNP markers were identified for the traits of drinking time (LOC110260090) and feeding frequency (MAP3K19; LOC110257013; ACMSD; TMEM163; RAB3GAP1) of the purebred Yorkshire population, respectively. The results of this study may suggest that the GWAS analysis of the ethological traits of purebred Landrace and Yorkshire populations could be used to perform a GWAS analysis on non-economic traits, and the results can thus be provided as basic data for GWAS analyses of other non-economic traits in the future.
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Lim, Hyun Tae
농업생명과학대학 (축산과학부)
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