Quantitative trait locus mapping reveals conservation of major and minor loci for powdery mildew resistance in four sources of resistance in mungbean [Vigna radiata (L.) Wilczek]

2013 ◽  
Vol 32 (1) ◽  
pp. 121-130 ◽  
Author(s):  
Sompong Chankaew ◽  
Prakit Somta ◽  
Takehisa Isemura ◽  
Norihiko Tomooka ◽  
Akito Kaga ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Powdery Mildew ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Vigna Radiata ◽  
Powdery Mildew Resistance ◽  
Sources Of Resistance ◽  
Mildew Resistance ◽  
Trait Locus ◽  
Locus Mapping

A longitudinal quantitative trait locus mapping of chicken growth traits

2018 ◽  
Vol 294 (1) ◽  
pp. 243-252 ◽  
Author(s):  
Tatsuhiko Goto ◽  
Akira Ishikawa ◽  
Masahide Nishibori ◽  
Masaoki Tsudzuki
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Growth Traits ◽  
Trait Locus ◽  
Locus Mapping

scholarly journals R/qtlcharts: interactive graphics for quantitative trait locus mapping

2014 ◽  
Author(s):  
Karl W Broman
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Quantitative Traits ◽  
R Package ◽  
High Dimensional ◽  
Interactive Graphics ◽  
Phenotype Data ◽  
Trait Locus ◽  
Locus Mapping

Every data visualization can be improved with some level of interactivity. Interactive graphics hold particular promise for the exploration of high-dimensional data. R/qtlcharts is an R package to create interactive graphics for experiments to map quantitative trait loci (QTL; genetic loci that influence quantitative traits). R/qtlcharts serves as a companion to the R/qtl package, providing interactive versions of R/qtl's static graphs, as well as additional interactive graphs for the exploration of high-dimensional genotype and phenotype data.

Sign in / Sign up

Export Citation Format

Share Document