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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(6): 3057-3080
DOI: https://doi.org/10.20546/ijcmas.2017.606.364


A Review of QTL Mapping in Cotton: Molecular Markers, Mapping Populations and Statistical Methods
Ashok Kumar Meena1, M. Ramesh2, C.H. Nagaraju3 and Bheru Lal Kumhar4*
1University of Agricultural Sciences Dharwad, 580005, India
2PDR, Hyderabad, India
3University of Agricultural and Horticultural Sciences, Shivamogga, India
4Agriculture University, Kota, India
*Corresponding author
Abstract:

The upland cotton (Gossypium hirsutum L.) accounts for about 95% of world cotton production. Improving upland cotton cultivars has been the focus of world-wide cotton breeding programs. In cotton, seed cotton yield, yield contributing and fibre quality traits are under the control of polygenes or quantitative trait locus (QTL), for these traits QTL analysis holds a great promises these are the genomic regions that links the information between phenotypic (trait measurement) and genetic data (molecular markers) and explain the genetic basis of variation in complex traits. The development of appropriate molecular markers in the background of suitable mapping population and construction of genetic linkage maps and QTL identification using statistical programs are earnest for QTL mapping. Present review provides an updates on comparative QTL analysis to obtain a better insight into the genome-wide distribution of QTL and to identify consistent QTL for marker assisted breeding and marker-assisted QTL manipulation to the genetic improvement of quantitative traits in cotton.


Keywords: QTL, Molecular markers, Genetic linkage maps, Marker assisted breeding
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How to cite this article:

Ashok kumar meena, M. Ramesh, C.H. Nagaraju and Bheru Lal Kumhar. 2017. A Review of QTL Mapping in Cotton: Molecular Markers, Mapping Populations and Statistical Methods.Int.J.Curr.Microbiol.App.Sci. 6(6): 3057-3080. doi: https://doi.org/10.20546/ijcmas.2017.606.364