小麦QTL数据库V2.0：小麦QTL数据库的补充
WheatQTLdb V2.0: a supplement to the database for wheat QTL.
作者信息
Singh Kalpana, Saini Dinesh Kumar, Saripalli Gautam, Batra Ritu, Gautam Tinku, Singh Rakhi, Pal Sunita, Kumar Manoj, Jan Irfat, Singh Sahadev, Kumar Anuj, Sharma Hemant, Chaudhary Jyoti, Kumar Kuldeep, Kumar Sourabh, Singh Vikas Kumar, Singh Vivudh Pratap, Kumar Deepak, Sharma Shiveta, Kumar Sachin, Kumar Rahul, Sharma Shailendra, Gaurav Shailendra Singh, Sharma Pradeep Kumar, Balyan Harindra Singh, Gupta Pushpendra Kumar
机构信息
Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250004 Uttar Pradesh India.
Present Address: ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, New Delhi, India.
出版信息
Mol Breed. 2022 Sep 16;42(10):56. doi: 10.1007/s11032-022-01329-1. eCollection 2022 Oct.
We recently developed a database for hexaploid wheat QTL (WheatQTLdb; www.wheatqtldb.net), which included 11,552 QTL affecting various traits of economic importance. However, that database did not include valuable QTL from other wheat species and/or progenitors of hexaploid wheat. Therefore, an updated and improved version of wheat QTL database (WheatQTLdb V2.0) was developed, which now includes information on hexaploid wheat () and the following seven other related species: , , , , , , and . WheatQTLdb V2.0 includes a much-improved list of QTL, including 27,518 main effect QTL, 202 epistatic QTL, and 1321 metaQTL. This newly released WheatQTLdb V2.0 also has additional valuable options to search and choose the QTL, category-wise, and trait-wise data for their use in research or breeding programs.
我们最近开发了一个六倍体小麦QTL数据库（WheatQTLdb；www.wheatqtldb.net），其中包含11552个影响各种重要经济性状的QTL。然而，该数据库并未纳入来自其他小麦物种和/或六倍体小麦祖先的有价值QTL。因此，我们开发了一个更新和改进后的小麦QTL数据库（WheatQTLdb V2.0），现在该数据库包含六倍体小麦（）以及其他七个相关物种的信息：、、、、、、和。WheatQTLdb V2.0包含一份大幅改进的QTL列表，包括27518个主效QTL、202个上位性QTL和1321个元QTL。这个新发布的WheatQTLdb V2.0还有其他有价值的选项，可按类别和性状搜索并选择QTL数据，以便在研究或育种计划中使用。
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