Evidence map›Paper›PMID 32898957›Full record

ArticleAnimal bioscience2021

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

Joon Ki Hong, Kyu Ho Cho, Young Sin Kim, Hak Jae Chung, Sun Young Baek, Eun Seok Cho, Soo Jin Sa

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Joon Ki HongNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Kyu Ho ChoNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Young Sin KimNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Hak Jae ChungNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Sun Young BaekNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Eun Seok ChoNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Soo Jin SaNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Rural Development Administration · KR

Funding

Rural Development Administration PJ01263601
6 · The paper itself

Abstract

objectiveThe 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.

methodsPhenotypes 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.

resultsrpc 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.

conclusionThe 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.

Indexed as

Genetic CorrelationGrowthResidual Feed IntakeSynthetic PigsWooriHeukDon

Identifiers

PMID32898957
PMCPMC8100493
OpenAlexW3082321513

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.