Literature DB >> 32898957

Genetic relationship between purebred and synthetic pigs for growth performance using single step method.

Joon Ki Hong1, Kyu Ho Cho1, Young Sin Kim1, Hak Jae Chung1, Sun Young Baek1, Eun Seok Cho1, Soo Jin Sa1.   

Abstract

OBJECTIVE: The objective of this study was to estimate the genetic correlation (rpc) of growth performance between purebred (Duroc and Korean native) and synthetic (WooriHeukDon) pigs using a single-step method.
METHODS: Phenotypes of 15,902 pigs with genotyped data from 1,792 pigs from a nucleus farm were used for this study. We estimated the rpc of several performance traits between WooriHeukDon and purebred pigs: day of target weight (DAY), backfat thickness (BF), feed conversion rate (FCR), and residual feed intake (RFI). The variances and covariances of the studied traits were estimated by an animal multi-trait model that applied the Bayesian inference.
RESULTS: rpc within traits was lower than 0.1 for DAY and BF, but high for FCR and RFI; in particular, rpc for RFI between Duroc and WooriHeukDon pigs was nearly 1. Comparison between different traits revealed that RFI in Duroc pigs was associated with different traits in WooriHeukDon pigs. However, the most of rpc between different traits were estimated with low or with high standard deviation.
CONCLUSION: The results indicated that there were substantial differences in rpc of traits in the synthetic WooriHeukDon pigs, which could be caused by these pigs having a more complex origin than other crossbred pigs. RFI was strongly correlated between Duroc and WooriHeukDon pigs, and these breeds might have similar single nucleotide polymorphism effects that control RFI. RFI is more essential for metabolism than other growth traits and these metabolic characteristics in purebred pigs, such as nutrient utilization, could significantly affect those in synthetic pigs. The findings of this study can be used to elucidate the genetic architecture of crossbred pigs and help develop new breeds with target traits.

Entities:  

Keywords:  Genetic Correlation; Growth; Residual Feed Intake; Synthetic Pigs; WooriHeukDon

Year:  2020        PMID: 32898957     DOI: 10.5713/ajas.20.0261

Source DB:  PubMed          Journal:  Anim Biosci        ISSN: 2765-0189


  4 in total

1.  Genetic and phenotypic parameters for feed efficiency and component traits in American mink.

Authors:  Pourya Davoudi; Duy Do; Stefanie M Colombo; Bruce Rathgeber; Guoyu Hu; Mehdi Sargolzaei; Zhiquan Wang; Graham Plastow; Younes Miar
Journal:  J Anim Sci       Date:  2022-08-01       Impact factor: 3.338

Review 2.  Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency.

Authors:  Pourya Davoudi; Duy Ngoc Do; Stefanie M Colombo; Bruce Rathgeber; Younes Miar
Journal:  Front Genet       Date:  2022-06-09       Impact factor: 4.772

3.  Genome-Wide Association Analysis and Genetic Parameters for Feed Efficiency and Related Traits in Yorkshire and Duroc Pigs.

Authors:  Weining Li; Zhaojun Wang; Shenghao Luo; Jianliang Wu; Lei Zhou; Jianfeng Liu
Journal:  Animals (Basel)       Date:  2022-07-26       Impact factor: 3.231

4.  Genetic Parameter Estimation and Genome-Wide Association Analysis of Social Genetic Effects on Average Daily Gain in Purebreds and Crossbreds.

Authors:  Ha-Seung Seong; Young-Sin Kim; Soo-Jin Sa; Yongdae Jeong; Joon-Ki Hong; Eun-Seok Cho
Journal:  Animals (Basel)       Date:  2022-09-05       Impact factor: 3.231

  4 in total

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