<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gowda, S. J. M.</style></author><author><style face="normal" font="default" size="100%">Radhika, P.</style></author><author><style face="normal" font="default" size="100%">Kadoo, Narendra Y.</style></author><author><style face="normal" font="default" size="100%">Mhase, L. B.</style></author><author><style face="normal" font="default" size="100%">Gupta, V. S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Molecular mapping of wilt resistance genes in chickpea</style></title><secondary-title><style face="normal" font="default" size="100%">Molecular Breeding</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">fusarium oxysporum</style></keyword><keyword><style  face="normal" font="default" size="100%">Fusarium wilt</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic mapping</style></keyword><keyword><style  face="normal" font="default" size="100%">Marker validation</style></keyword><keyword><style  face="normal" font="default" size="100%">Pathogen races</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">SEP</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">2</style></number><publisher><style face="normal" font="default" size="100%">SPRINGER</style></publisher><pub-location><style face="normal" font="default" size="100%">VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS</style></pub-location><volume><style face="normal" font="default" size="100%">24</style></volume><pages><style face="normal" font="default" size="100%">177-183</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Fusarium wilt is a widespread and serious chickpea disease caused by the soil-borne fungus Fusarium oxysporum f.sp. ciceri (Foc). We evaluated an F(9) recombinant inbred line population of chickpea for resistance to three Foc races (1, 2 and 3) in pot culture experiments and identified flanking and tightly linked DNA markers for the resistance genes. The simple sequence repeat markers H3A12 and TA110 flanked the Foc1 locus at 3.9 and 2.1 cM, respectively, while Foc2 was mapped 0.2 cM from TA96 and 2.7 cM from H3A12. The H1B06y and TA194 markers flanked the Foc3 locus at 0.2 and 0.7 cM, respectively. These markers were also validated using 16 diverse chickpea genotypes. Identification of tightly linked flanking markers for wilt resistance genes will be useful for their exploitation in breeding programs and to understand the mechanism of resistance and evolution of the genes.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">2.193</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gowda, S. J. M.</style></author><author><style face="normal" font="default" size="100%">Radhika, P.</style></author><author><style face="normal" font="default" size="100%">Mhase, L. B.</style></author><author><style face="normal" font="default" size="100%">Jamadagni, B. M.</style></author><author><style face="normal" font="default" size="100%">Gupta, V. S.</style></author><author><style face="normal" font="default" size="100%">Kadoo, Narendra Y.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Mapping of QTLs governing agronomic and yield traits in chickpea</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Applied Genetics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cicer arietinum</style></keyword><keyword><style  face="normal" font="default" size="100%">QTL analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">QTL x environment interaction</style></keyword><keyword><style  face="normal" font="default" size="100%">Two-locus analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Yield traits</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">FEB</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><publisher><style face="normal" font="default" size="100%">SPRINGER HEIDELBERG</style></publisher><pub-location><style face="normal" font="default" size="100%">TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY</style></pub-location><volume><style face="normal" font="default" size="100%">52</style></volume><pages><style face="normal" font="default" size="100%">9-21</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Chickpea is one of the most important leguminous cool season food crops, cultivated prevalently in South Asia and Middle East. The main objective of this study was to identify quantitative trait loci (QTLs) associated with seven agronomic and yield traits in two recombinant inbred line populations of chickpea derived from the crosses JG62xVijay (JV population) and VijayxICC4958 (VI population) from at least three environments. Single locus QTL analysis involved composite interval mapping (CIM) for individual traits and multiple-trait composite interval mapping (MCIM) for correlated traits to detect pleiotropic QTLs. Two-locus analysis was conducted to identify the main effect QTLs (M-QTLs), epistatic QTLs (E-QTLs) and QTL x environment interactions. Through CIM analysis, a total of 106 significant QTLs (41 in JV and 65 in VI populations) were identified for the seven traits, of which one QTL each for plant height and days to maturity was common in both the populations. Six pleiotropic QTLs that were consistent over the environments were also identified. LG2 in JV and LG1a in VI contained at least one QTL for each trait. Hence, concentrating on these LGs in molecular breeding programs is most likely to bring simultaneous improvement in these traits.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">1.16</style></custom4></record></records></xml>