{"title":"改造小麦育种的工具:基因组选择、快速世代推进和基于数据库的决策支持。","authors":"U. Rosyara, K. Dreher, B. Basnet, S. Dreisigacker","doi":"10.1079/9781789245431.0011","DOIUrl":null,"url":null,"abstract":"Abstract\n This chapter discusses the increased implications in the current breeding methodology of wheat, such as rapid evolution of new sequencing and genotyping technologies, automation of phenotyping, sequencing and genotyping methods and increased use of prediction and machine learning methods. Some of the strategies that will further transform wheat breeding in the next few years are also presented.","PeriodicalId":424023,"journal":{"name":"Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tools for transforming wheat breeding: genomic selection, rapid generation advance and database-based decision support.\",\"authors\":\"U. Rosyara, K. Dreher, B. Basnet, S. Dreisigacker\",\"doi\":\"10.1079/9781789245431.0011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract\\n This chapter discusses the increased implications in the current breeding methodology of wheat, such as rapid evolution of new sequencing and genotyping technologies, automation of phenotyping, sequencing and genotyping methods and increased use of prediction and machine learning methods. Some of the strategies that will further transform wheat breeding in the next few years are also presented.\",\"PeriodicalId\":424023,\"journal\":{\"name\":\"Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1079/9781789245431.0011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/9781789245431.0011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tools for transforming wheat breeding: genomic selection, rapid generation advance and database-based decision support.
Abstract
This chapter discusses the increased implications in the current breeding methodology of wheat, such as rapid evolution of new sequencing and genotyping technologies, automation of phenotyping, sequencing and genotyping methods and increased use of prediction and machine learning methods. Some of the strategies that will further transform wheat breeding in the next few years are also presented.