During the last three decades, QTL analysis in wheat has been conducted for a variety of individual traits, so that thousands of QTL along with the linked markers, their genetic positions and contribution to phenotypic variation (PV) for concerned traits are now known. However, no exhaustive database for wheat QTL is currently available at a single platform. Therefore, the present database was prepared which is an exhaustive information resource for wheat QTL data from the published literature till May, 2020. QTL data from both interval mapping and genome-wide association studies (GWAS) have been included for the following classes of traits: (i) morphological traits, (ii) N and P use efficiency, (iii) traits for biofortification (Fe, K, Se, and Zn contents), (iv) tolerance to abiotic stresses including drought, water logging, heat stress, pre-harvest sprouting and salinity, (v) resistance to biotic stresses including those due to bacterial, fungal, nematode and insects, (vi) quality traits, and (vii) a variety of physiological traits, (viii) developmental traits, and (ix) yield and its related traits. For the preparation of the database, literature was searched for data on QTL/marker-trait associations (MTAs), curated and then assembled in the form of WheatQTLdb. The available information on metaQTL, epistatic QTL and candidate genes, wherever available, is also included in the database. Information on QTL in this WheatQTLdb includes QTL names, traits, associated markers, parental genotypes, crosses/mapping populations, association mapping panels and other useful information. To our knowledge, WheatQTLdb prepared by us is the largest collection of QTL (11,552), epistatic QTL (107) and metaQTL (330) data for hexaploid wheat to be used by geneticists and plant breeders for further studies involving fine mapping, cloning, and marker-assisted selection (MAS) during wheat breeding.

在过去的三十年中，已经对小麦的各种个体性状进行了 QTL 分析，因此现在已经知道了数千个 QTL 以及连锁标记、它们的遗传位置以及对相关性状表型变异 (PV) 的贡献。然而，目前在单一平台上还没有详尽的小麦 QTL 数据库。因此，目前的数据库是截至 2020 年 5 月已发表文献中小麦 QTL 数据的详尽信息资源。来自区间作图和全基因组关联研究 (GWAS) 的 QTL 数据已包含在以下性状类别中：(i) 形态特征，(ii) 氮和磷利用效率，(iii) 生物强化特征（铁、钾、硒和锌含量），(iv) 对非生物胁迫的耐受性，包括干旱、水涝、热胁迫、收获前发芽和盐度，(v) 对生物胁迫的抗性，包括细菌、真菌、线虫和昆虫引起的胁迫，(vi) 品质性状，以及 (vii) 各种生理性状，(viii) 发育性状，以及 ( ix) 产量及其相关性状。为了准备数据库，我们检索了有关 QTL/标记性状关联 (MTA) 的文献，进行整理，然后以 WheatQTLdb 的形式进行组装。有关metaQTL、上位性QTL 和候选基因的可用信息（只要有）也包含在数据库中。 WheatQTLdb 中的 QTL 信息包括 QTL 名称、性状、相关标记、亲本基因型、杂交/作图群体、关联作图面板和其他有用信息。 据我们所知，我们准备的 WheatQTLdb 是六倍体小麦 QTL (11,552)、上位 QTL (107) 和 metaQTL (330) 数据的最大集合，可供遗传学家和植物育种者用于进一步的研究，包括精细作图、克隆和小麦育种过程中的标记辅助选择（MAS）。