eprintid: 7106
rev_number: 17
eprint_status: archive
userid: 30
dir: disk0/00/00/71/06
datestamp: 2013-09-17 04:17:32
lastmod: 2016-10-21 05:29:10
status_changed: 2013-09-17 04:17:32
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@cgiar.org
creators_name: Wang, H
creators_name: Pandey, M K
creators_name: Qiao, L
creators_name: Qin, H
creators_name: Culbreath, A K
creators_name: He, G
creators_name: Varshney, R K
creators_name: Scully, B T
creators_name: Guo, B
icrisatcreators_name: Pandey, M K
icrisatcreators_name: Varshney, R K
affiliation: Fujian Agricultural and Forestry University(Fuzhou)
affiliation: The University of Georgia (Athens, GA)
affiliation: Shandong Academy of Agricultural Sciences(Qingdao)
affiliation: ICRISAT(Patancheru)
affiliation: Qingdao Agricultural University(Qingdao)
affiliation: Hubei Academy of Agricultural Sciences(Wuhan)
affiliation: Tuskegee University(Tuskegee)
country: India
title: Genetic Mapping and Quantitative Trait Loci Analysis for Disease Resistance Using F2 and F5 Generation-based Genetic Maps Derived from ‘Tifrunner’ × ‘GT-C20’ in Peanut
ispublished: pub
subjects: s1.3
subjects: s2.13
divisions: D3
crps: crp1.5
full_text_status: public
keywords: Genetic Mapping, Quantitative Trait, Loci Analysis, Disease Resistance, Genetic Maps, Peanut, Groundnut
note: We thank Billy Wilson, Jake Fountain, Stephanie Lee, Lucero Gutierrez, and Sara Beth Pelham for technical assistance in the field and the laboratory. This research was partially supported by funds provided by the USDA Agricultural Research Service, the Georgia Agricultural Commodity Commission for Peanuts, Peanut Foundation, and National Peanut Board. We are also thankful to National Science Foundation to DRC (NSF, DBI-0605251) and USDA/CSREES/Capacity Building Program to GH (#2006-38814-17489) for supporting this research. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture.
abstract: One mapping population derived from Tifrunner × GT-C20 has shown great potential in developing a high density genetic map and identifying quantitative trait loci (QTL) for important disease resistance, tomato spotted wilt virus (TSWV) and leaf spot (LS). Both F2 and F5 generation-based genetic maps were previously constructed with 318 and 239 marker loci, respectively. Higher map density could be achieved with the F2 map (5.3 cM per locus) as compared to the F5 (5.7 cM per locus). Quantitative trait loci analysis using multi-environment phenotyping data from F8 and higher generations for disease resistance identified 54 QTL in the F2 map including two QTL for thrips (12.14–19.43% phenotypic variation explained [PVE]), 15 for TSWV (4.40–34.92% PVE), and 37 for LS (6.61–27.35% PVE). Twenty-three QTL could be identified in the F5 map including one QTL for thrips (5.86% PVE), nine for TSWV (5.20–14.14% PVE), and 13 for LS (5.95–21.45% PVE). Consistent QTL identified in each map have shown higher phenotypic variance than nonconsistent QTL. As expected, the number of QTL and their estimates of phenotypic variance were lower in the F5 map. This is the first QTL study reporting novel QTL for thrips, TSWV, and LS in peanut (Arachis hypogaea L.), and therefore, future studies will be conducted to refine these QTL.
date: 2013
date_type: published
publication: The Plant Genome
volume: 6
number: 3
publisher: Crop Science Society of America
pagerange: 1-10
id_number: 10.3835/plantgenome2013.05.0018
refereed: TRUE
issn: 1940-3372
official_url: http://dx.doi.org/10.3835/plantgenome2013.05.0018
related_url_url: http://scholar.google.co.in/scholar?as_q=%22+Genetic+Mapping+and+Quantitative+Trait+Loci+Analysis+for+Disease+Resistance+Using+F2+and+F5+Generation-based+Genetic+Maps+Derived+from+%E2%80%98Tifrunner%E2%80%99+%C3%97+%E2%80%98GT-C20%E2%80%99+in+Peanut%22+&a
related_url_type: pub
funders: USDA Agricultural Research Service
funders: Government of Georgia-Agricultural Commodity Commission for Peanuts
funders: Government of Georgia-Peanut Foundation
funders: Government of Georgia-National Peanut Board
funders: National Science Foundation (NSF), USA
citation:   Wang, H and Pandey, M K and Qiao, L and Qin, H and Culbreath, A K and He, G and Varshney, R K and Scully, B T and Guo, B  (2013) Genetic Mapping and Quantitative Trait Loci Analysis for Disease Resistance Using F2 and F5 Generation-based Genetic Maps Derived from ‘Tifrunner’ × ‘GT-C20’ in Peanut.  The Plant Genome, 6 (3).  pp. 1-10.  ISSN 1940-3372     
document_url: http://oar.icrisat.org/7106/1/ThePlantGenome_6_1-10_2013.pdf