ArticleVeterinary sciences2025
Detection of the Candidate Genes of Economically Important Traits in Dorper Sheep Through Whole-Genome Resequencing.
Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Whole-Genome Resequencing Reveals Selection Signatures Associated With Lambskin Patterns in Hu Sheep.Animal genetics · 2026Article
- Decoding the lncRNA landscape in bovine mastitis: insights into immune regulation and gene networks underlying host response.Journal of animal science and biotechnology · 2026Article
- Putative Genomic Signatures of Local Adaptation in Five Local Indonesian Sheep Reveal Selection on Immunity, Reproduction, and Production Traits.Ecology and evolution · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Dorper sheep (DOR) are a commercially important mutton breed renowned for their high growth rate, favorable carcass composition, environmental adaptability, and natural wool shedding. In China, they are widely utilized as terminal sires to enhance growth and carcass yield in local breeds. To elucidate the genetic basis of these traits, we sequenced the genomes of 20 DOR and integrated the data with whole-genome sequences from 73 individuals representing four Chinese indigenous breeds. Analyses of genetic diversity, inbreeding coefficients, and population structure revealed reduced genomic diversity, elevated inbreeding levels, and clear genetic separation for DOR from other indigenous breeds. Selective sweep scans using
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Registered trials
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