@incollection{icrisat10491,
          editor = {R K Varshney and M K Pandey and N Puppala},
       booktitle = {The Peanut Genome},
          series = {Compendium of Plant Genomes book series (CPG)},
           title = {Classical and Molecular Approaches for Mapping of Genes and Quantitative Trait Loci in Peanut},
       publisher = {Springer},
            year = {2017},
          author = {M K Vishwakarma and S N Nayak and B Guo and L Wan and B Liao and R K Varshney and M K Pandey},
           pages = {93--116},
            note = {We would like to express our
appreciation to the financial support from the Peanut
Foundation, MARS Inc., the Georgia Peanut Commission
and the U.S. National Peanut Board, Bill \& Melinda
Gates Foundation (Tropical Legumes I, II \& III),
Department of Biotechnology (DBT) of Government of
India and World Bank Assisted Watershed Development
Project II (KWDP-II) by Government of Karnataka, India.
The work reported in this article was undertaken as a part
of the CGIAR Research Program on Grain Legumes.
ICRISAT is a member of the CGIAR.},
          number = {169},
        keywords = {High throughput genotyping, Genetic markers, Genetic mapping, Association mapping, Diagnostic markers, Molecular breeding, Genomic resources, SSRs, SNP, QTLs, Genomics tools, Breeding, Peanut},
             url = {http://oar.icrisat.org/10491/},
        abstract = {Advances in availability of genomic resources coupled with genetic resources have accelerated the process of developing better understanding of cytogenetics and genetics of peanut using modern technologies. The cytogenetic studies provided greater insights on chromosomal structures and behaviour of different Arachis species along with their genetic relationship with each other. Researchers are moving faster now in using single nucleotide polymorphism (SNP) markers in their genetic studies as simple sequence repeats (SSRs) did not provide optimum genome density for genetic mapping studies in peanut. Due to availability of reference genome of diploid progenitors, resequencing of some genotypes and soon to be available tetraploid genome, a high-density genotyping array with 58 K SNPs is now available for conducting high-resolution mapping in peanut. ICRISAT has developed next generation genetic mapping populations such as multi-parent advanced generation intercross (MAGIC) and nested association mapping (NAM) populations for conducting high-resolution trait mapping for multiple traits in one go. Affordability of sequencing also encouraged initiation of sequence-based trait mapping such as QTL-seq for dissecting foliar disease resistance trait. Few successful examples are available in peanut regarding development of diagnostic markers and their deployment in breeding to develop improved genotypes, which may see a significant increase in coming years for developing appropriate genomics tools for breeding in peanut.}
}