{"title":"利用概率回归对抗性验证设计基因组预测的最优训练集","authors":"O. Montesinos-López, A. Montesinos‐López","doi":"10.1111/pbr.13124","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":20228,"journal":{"name":"Plant Breeding","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing optimal training sets for genomic prediction using adversarial validation with probit regression\",\"authors\":\"O. Montesinos-López, A. Montesinos‐López\",\"doi\":\"10.1111/pbr.13124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":20228,\"journal\":{\"name\":\"Plant Breeding\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plant Breeding\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1111/pbr.13124\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant Breeding","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1111/pbr.13124","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
期刊介绍:
PLANT BREEDING publishes full-length original manuscripts and review articles on all aspects of plant improvement, breeding methodologies, and genetics to include qualitative and quantitative inheritance and genomics of major crop species. PLANT BREEDING provides readers with cutting-edge information on use of molecular techniques and genomics as they relate to improving gain from selection. Since its subject matter embraces all aspects of crop improvement, its content is sought after by both industry and academia. Fields of interest: Genetics of cultivated plants as well as research in practical plant breeding.