ArticleGenetics, selection, evolution : GSE2023
A web tool for the global identification of pig breeds.
Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Evolutionary Signatures of Thermotolerance Shaped by Adaptive Admixtures in the Ghurrah Pig of India.Journal of molecular evolution · 2026Article
- RASEL: An Ensemble Model for Selection of Core SNPs and Its Application for Identification and Classification of Cattle Breeds.Biochemical genetics · 2026Article
- An updated Pig Haplotype Reference Panel (PHARP 4.0) comprising 13,298 haplotypes.Communications biology · 2025Article
- A deep learning strategy for accurate identification of purebred and hybrid pigs across SNP chips.Journal of animal science and biotechnology · 2025Article
- Pangenome graph mitigates heterozygosity overestimation from mapping bias: a case study in Chinese indigenous pigs.BMC biology · 2025Article
- rPIMS: a ShinyR package for the precision identification and modelling of livestock breeds using genomic data and machine learning approaches.Bioinformatics advances · 2025Article
- Development and Validation of a 5K Liquid Chip for Identifying Cashmere Goat Populations in Inner Mongolia Autonomous Region.Animals : an open access journal from MDPI · 2024Article
- Evaluation of the Breed Composition of Pork via Population Structure Analysis in Pigs.Animals : an open access journal from MDPI · 2024Article
- Population structure and breed identification of Chinese indigenous sheep breeds using whole genome SNPs and InDels.Genetics, selection, evolution : GSE · 2024Article
- Classification of breed combinations for slaughter pigs based on genotypes-modeling DNA samples of crossbreeds as fuzzy sets from purebred founders.Frontiers in genetics · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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Abstract
backgroundNatural and artificial selection for more than 9000 years have led to a variety of domestic pig breeds. Accurate identification of pig breeds is important for breed conservation, sustainable breeding, pork traceability, and local resource registration.
resultsWe evaluated the performance of four selectors and six classifiers for breed identification using a wide range of pig breeds (N = 91). The internal cross-validation and external independent testing showed that partial least squares regression (PLSR) was the most effective selector and partial least squares-discriminant analysis (PLS-DA) was the most powerful classifier for breed identification among many breeds. Five-fold cross-validation indicated that using PLSR as the selector and PLS-DA as the classifier to discriminate 91 pig breeds yielded 98.4% accuracy with only 3K single nucleotide polymorphisms (SNPs). We also constructed a reference dataset with 124 pig breeds and used it to develop the web tool iDIGs ( http://alphaindex.zju.edu.cn/iDIGs_en/ ) as a comprehensive application for global pig breed identification. iDIGs allows users to (1) identify pig breeds without a reference population and (2) design small panels to discriminate several specific pig breeds.
conclusionsIn this study, we proved that breed identification among a wide range of pig breeds is feasible and we developed a web tool for such pig breed identification.
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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 Socratic graph.