eprintid: 10491 rev_number: 11 eprint_status: archive userid: 1305 dir: disk0/00/01/04/91 datestamp: 2018-03-04 15:58:00 lastmod: 2018-03-04 15:58:00 status_changed: 2018-03-04 15:58:00 type: book_section metadata_visibility: show contact_email: Library-ICRISAT@CGIAR.ORG creators_name: Vishwakarma, M K creators_name: Nayak, S N creators_name: Guo, B creators_name: Wan, L creators_name: Liao, B creators_name: Varshney, R K creators_name: Pandey, M K icrisatcreators_name: Vishwakarma, M K icrisatcreators_name: Nayak, S N icrisatcreators_name: Varshney, R K icrisatcreators_name: Pandey, M K affiliation: ICRISAT (Patancheru) affiliation: USDA-ARS, Crop Protection and Management Research Unit (Tifton) affiliation: Oil Crops Research Institute (OCRI) of the Chinese Academy of Agricultural Sciences (Wuhan) affiliation: Crops Research Institute of the Chinese Academy of Agricultural Sciences (Wuhan) country: India country: USA country: China title: Classical and Molecular Approaches for Mapping of Genes and Quantitative Trait Loci in Peanut ispublished: pub subjects: MB1 subjects: s1.3 subjects: s2.13 divisions: CRPS3 crps: crp1.5 full_text_status: restricted keywords: High throughput genotyping, Genetic markers, Genetic mapping, Association mapping, Diagnostic markers, Molecular breeding, Genomic resources, SSRs, SNP, QTLs, Genomics tools, Breeding, Peanut 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. 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. date: 2017 date_type: published series: Compendium of Plant Genomes book series (CPG) number: 169 publisher: Springer pagerange: 93-116 id_number: http://dx.doi.org/10.1007/978-3-319-63935-2_7 refereed: TRUE isbn: 978-3-319-63933-8 issn: 2199-4781 book_title: The Peanut Genome editors_name: Varshney, R K editors_name: Pandey, M K editors_name: Puppala, N citation: Vishwakarma, M K and Nayak, S N and Guo, B and Wan, L and Liao, B and Varshney, R K and Pandey, M K (2017) Classical and Molecular Approaches for Mapping of Genes and Quantitative Trait Loci in Peanut. In: The Peanut Genome. Compendium of Plant Genomes book series (CPG) (169). Springer, pp. 93-116. ISBN 978-3-319-63933-8 document_url: http://oar.icrisat.org/10491/1/Classical%20and%20Molecular%20Approaches.pdf