Evidence map›Paper›PMID 41898824›Full record

ArticleGenes2026

Deciphering Genetic Architecture of Feed Conversion Ratio and Growth Traits in Yorkshire Pig.

Changguang Lin, Qiuyong Chen, Yaxuan Liu, Wei Cai, Tao Huang, Yi Zhou, Jinyu Lin, Lunjiang Zhou, Xinzhu Chen

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Changguang LinInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China.
Qiuyong ChenInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China.ORCID 0000-0002-8198-5133
Yaxuan LiuFujian Guanghua Best Ecological Agriculture and Animal Husbandry Development Company Limited, Youxi 365106, China.
Wei CaiYouxi County Bureau of Agriculture and Rural Affairs, Youxi 365106, China.
Tao HuangYouxi County Bureau of Agriculture and Rural Affairs, Youxi 365106, China.
Yi ZhouFujian Guanghua Best Ecological Agriculture and Animal Husbandry Development Company Limited, Youxi 365106, China.
Jinyu LinFujian Guanghua Best Ecological Agriculture and Animal Husbandry Development Company Limited, Youxi 365106, China.
Lunjiang ZhouInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China.
Xinzhu ChenInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China.

Funding

Basic Scientific Research Projects of Provincial Public Welfare Scientific Research Institutions (Fujian Province) 2020R1026006Basic Scientific Research Projects of Provincial Public Welfare Scientific Research Institutions (Fujian Province) 2023R1024009China Agriculture Research System CARS-35
6 · The paper itself

Abstract

backgroundPigs are one of the most important livestock species for providing meat products in the world. Deciphering the genetic architecture of feed efficiency-related traits is beneficial to improve the genetic progress of these traits and save the total cost of pork production. However, the genetic architecture of feed efficiency-related traits remains unclear.

methodsTo address this problem, we collected 1301 genotyped Yorkshire pigs with three feed efficiency-related traits, including days at 100 kg (DAYS_100), backfat thickness at 100 kg (BFT_100), and feed conversion ratio from 30 to 100 kg (FCR_30_100), to explore the genetic parameters and genetic basis of these traits.

resultsThe heritability of DAYS_100, BFT_100, and FCR_30_100 was 0.25 ± 0.04, 0.40 ± 0.05, and 0.23 ± 0.04, respectively. Additionally, BFT_100 and DAYS_100 had a weak negative genetic correlation (-0.01 ± 0.12), while trait FCR_30_100 showed a positive genetic correlation with DAYS_100 (0.51 ± 0.11) and BFT_100 (0.28 ± 0.12). A genome-wide association study identified 7, 5, and 4 SNPs independently associated with BFT_100, DAYS_100, and FCR_30_100, respectively. Further analysis found that the candidate gene

conclusionsThis study discovered 16 quantitative trait loci associated with feed efficiency-related traits, providing a comprehensive insight for understanding the genetic basis of feed efficiency-related traits in pigs. The candidate genes, such as

Indexed as

Quantitative Trait LociAnimal FeedAnimalsFemaleGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait, HeritableSwinefeed efficiencygenetic parametersgenome-wide association studygenomicspig

Identifiers

PMID41898824
PMCPMC13026285

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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.