Xiaohan Jiang, Austin Putz, Huang Wen, Juan P Steibel
{"title":"Technical Note: Anomaly detection for breed purity analysis in pigs using a single breed genotype panel.","authors":"Xiaohan Jiang, Austin Putz, Huang Wen, Juan P Steibel","doi":"10.1093/jas/skaf083","DOIUrl":null,"url":null,"abstract":"<p><p>Recent advancements in genotyping technologies have revolutionized our ability to estimate breed composition in pigs. The classical compositional regression used for this purpose requires a multibreed panel to detect crossbreeding and its application is limited to breeds in the panel. Some breed entities may not have access to multibreed panel but may have access to a single breed panel. We present crossbreeding detection methods based on semi-supervised anomaly detection techniques that use a single breed genotype panel from purebred animals of interest. By utilizing these methods, we identified and assessed breed outliers within large pig genotype panels.</p>","PeriodicalId":14895,"journal":{"name":"Journal of animal science","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of animal science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/jas/skaf083","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Recent advancements in genotyping technologies have revolutionized our ability to estimate breed composition in pigs. The classical compositional regression used for this purpose requires a multibreed panel to detect crossbreeding and its application is limited to breeds in the panel. Some breed entities may not have access to multibreed panel but may have access to a single breed panel. We present crossbreeding detection methods based on semi-supervised anomaly detection techniques that use a single breed genotype panel from purebred animals of interest. By utilizing these methods, we identified and assessed breed outliers within large pig genotype panels.
期刊介绍:
The Journal of Animal Science (JAS) is the premier journal for animal science and serves as the leading source of new knowledge and perspective in this area. JAS publishes more than 500 fully reviewed research articles, invited reviews, technical notes, and letters to the editor each year.
Articles published in JAS encompass a broad range of research topics in animal production and fundamental aspects of genetics, nutrition, physiology, and preparation and utilization of animal products. Articles typically report research with beef cattle, companion animals, goats, horses, pigs, and sheep; however, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will be considered for publication.