Correction to: WheatQTLdb: a QTL database for wheat

Singh, Kalpana; Batra, Renu; Sharma, Shiveta; Saripalli, Gautam; Gautam, Tinku; Singh, Ravinder; Pal, Saikat; Malik, Parveen; Kumar, Manoj; Jan, Irfat; Singh, S.R.; Kumar, Deepak; Pundir, Saksham; Chaturvedi, Deepti; Verma, Anjali; Rani, Anshu; Kumar, Anuj; Sharma, Hemant; Chaudhary, Jyoti; Kumar, Kuldeep; Kumar, Sachin; Singh, Vikas Kumar; Singh, Vivudh Pratap; Kumar, Sachin; Kumar, Rahul; Gaurav, Shailendra Singh; Sharma, Pradeep; Balyan, H. S.

doi:10.1007/s00438-021-01812-y

“…A database for wheat QTL (WheatQTLdb V1.0; www.wheatqtldb.net) was recently developed by us (Singh et al 2021a), which contained 11,552 QTL. A correction to this database was also published later (Singh et al 2021b). The database included QTL reported in the literature till May 2020 and included QTL for only hexaploid wheat that were identi ed using interval mapping and genome-wide association studies (GWAS).…”

Section: Introductionmentioning

confidence: 99%

WheatQTLdb V2.0: a supplement to the database for wheat QTL

Singh

¹

,

Saini

²

,

Saripalli

³

et al. 2022

Self Cite

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We recently developed a database for hexaploid wheat QTL (WheatQTLdb; www.wheatqtldb.net) that 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 bread wheat. Therefore, an updated and wider version of wheat QTL database (WheatQTLdb V2.0) was developed in this study which now includes information on hexaploid wheat (Triticum aestivum) as well as seven other related species: T. durum, T. turgidum, T. dicoccoides, T. dicoccum, T. monococcum, T. boeoticum, and Aegilops tauschii. WheatQTLdb V2.0 includes a much improved list of QTL, so that V2.0 now has 27,518 main-effect QTL, 202 epistatic QTL, and 1,321 metaQTL. This newly released WheatQTLdb V2.0 will provide plant breeders and geneticists much more valuable options to search and choose the category-wise and trait-wise data for their research or breeding programmes.

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“…A database for wheat QTL (WheatQTLdb V1.0; www.wheatqtldb.net) was recently developed by us (Singh et al 2021a), which contained 11,552 QTL. A correction to this database was also published later (Singh et al 2021b). The database included QTL reported in the literature till May 2020 and included QTL for only hexaploid wheat that were identi ed using interval mapping and genome-wide association studies (GWAS).…”

Section: Introductionmentioning

confidence: 99%

WheatQTLdb V2.0: A Supplement to the Database for Wheat QTL

Singh

¹

,

Saini

²

,

Saripalli

³

et al. 2022

Preprint

Self Cite

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We recently developed a database for hexaploid wheat QTL (WheatQTLdb; www.wheatqtldb.net) that 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 bread wheat. Therefore, an updated and wider version of wheat QTL database (WheatQTLdb V2.0) was developed in this study which now includes information on hexaploid wheat (Triticum aestivum) as well as seven other related species: T. durum, T. turgidum, T. dicoccoides, T. dicoccum, T. monococcum, T. boeoticum, and Aegilops tauschii. WheatQTLdb V2.0 includes a much improved list of QTL, so that V2.0 now has 27,518 main-effect QTL, 202 epistatic QTL, and 1,321 metaQTL. This newly released WheatQTLdb V2.0 will provide plant breeders and geneticists much more valuable options to search and choose the category-wise and trait-wise data for their research or breeding programmes.

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QTL analysis for nitrogen use efficiency in wheat (Triticum aestivum L.)

Singh

¹

,

Saripalli

²

,

Kumar

³

et al. 2022

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The genetic architecture of nitrogen use e ciency (NUE) and its two component traits i.e. NUpE (N uptake e ciency) and NUtE (N utilization e ciency) was studied using a bi-parental RIL mapping population derived from a cross HUW468 (high NUE)/C306 (low NUE). The mapping population, two parental genotypes and three check genotypes were evaluated under four different N levels (0, 60, 120, and 180 kg/ha) over three years. A genetic map containing 456 SNP markers (2,571.38 cM length) was used for QTL analysis. Thirty six main effect QTLs (17 QTLs for NUE, 13 NUpE and 6QTLs for NUtE) distributed on 12 chromosomes (1B,

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Correction to: WheatQTLdb: a QTL database for wheat

Cited by 3 publications

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WheatQTLdb V2.0: a supplement to the database for wheat QTL

WheatQTLdb V2.0: a supplement to the database for wheat QTL

WheatQTLdb V2.0: A Supplement to the Database for Wheat QTL

QTL analysis for nitrogen use efficiency in wheat (Triticum aestivum L.)

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