Literature DB >> 28352970

Quantitative trait loci from identification to exploitation for crop improvement.

Jitendra Kumar1, Debjyoti Sen Gupta2, Sunanda Gupta2, Sonali Dubey2, Priyanka Gupta2, Shiv Kumar3.   

Abstract

Advancement in the field of genetics and genomics after the discovery of Mendel's laws of inheritance has led to map the genes controlling qualitative and quantitative traits in crop plant species. Mapping of genomic regions controlling the variation of quantitatively inherited traits has become routine after the advent of different types of molecular markers. Recently, the next generation sequencing methods have accelerated the research on QTL analysis. These efforts have led to the identification of more closely linked molecular markers with gene/QTLs and also identified markers even within gene/QTL controlling the trait of interest. Efforts have also been made towards cloning gene/QTLs or identification of potential candidate genes responsible for a trait. Further new concepts like crop QTLome and QTL prioritization have accelerated precise application of QTLs for genetic improvement of complex traits. In the past years, efforts have also been made in exploitation of a number of QTL for improving grain yield or other agronomic traits in various crops through markers assisted selection leading to cultivation of these improved varieties at farmers' field. In present article, we reviewed QTLs from their identification to exploitation in plant breeding programs and also reviewed that how improved cultivars developed through introgression of QTLs have improved the yield productivity in many crops.

Keywords:  Bi-and multi parental mapping; Candidate gene; Crop QTLome; GWAS; Genetic variation; Marker assisted selection; Molecular markers; QTL cloning; Quantitative trait loci; Quantitative traits

Mesh:

Year:  2017        PMID: 28352970     DOI: 10.1007/s00299-017-2127-y

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  320 in total

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  21 in total

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2.  Association of functional markers with flowering time in lentil.

Authors:  Jitendra Kumar; Sunanda Gupta; Revanappa S Biradar; Priyanka Gupta; Sonali Dubey; Narendra Pratap Singh
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4.  Phenotypic evaluation of genetic variability and selection of yield contributing traits in chickpea recombinant inbred line population under high temperature stress.

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5.  High Density Linkage Map Construction and QTL Detection for Three Silique-Related Traits in Orychophragmus violaceus Derived Brassica napus Population.

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6.  Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean.

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7.  Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping.

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Review 8.  Rhizobial-Host Interactions and Symbiotic Nitrogen Fixation in Legume Crops Toward Agriculture Sustainability.

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Journal:  Theor Appl Genet       Date:  2017-11-20       Impact factor: 5.699

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