2015
DOI: 10.17660/actahortic.2015.1069.6
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Identification of Tomato Bacterial Spot Race T1, T2, T3, T4, and Xanthomonas Gardneri Resistance QTLS Derived From Pi 114490 Populations Selected for Race T4

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Cited by 14 publications
(19 citation statements)
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“…However, the role of Rx1 in conferring resistance to bacterial spot in the field condition was not identified in the population studied and no polymorphic markers were identified to be linked with Rx2. The correlation between the HR and field resistance was relatively low between 0.31 and 0.37 in different populations [28,31]. A novel QTL in chromosome 1 was identified where Rx-2 was previously identified [31].…”
Section: Race T1mentioning
confidence: 90%
See 3 more Smart Citations
“…However, the role of Rx1 in conferring resistance to bacterial spot in the field condition was not identified in the population studied and no polymorphic markers were identified to be linked with Rx2. The correlation between the HR and field resistance was relatively low between 0.31 and 0.37 in different populations [28,31]. A novel QTL in chromosome 1 was identified where Rx-2 was previously identified [31].…”
Section: Race T1mentioning
confidence: 90%
“…The correlation between the HR and field resistance was relatively low between 0.31 and 0.37 in different populations [28,31]. A novel QTL in chromosome 1 was identified where Rx-2 was previously identified [31]. However, the source for this QTL was not HI 7998 but Florida (FL) 7600 or OH9242.…”
Section: Race T1mentioning
confidence: 95%
See 2 more Smart Citations
“…Both molecular and biotechnological approaches have been used in identifying resistance (Horvath et al, 2015;Bhattarai et al, 2016). Quantitative trait loci (QTLs) derived from PI114490 have been identified for T1, T2, T3, T4 races and X. gardneri (Scott et al, 2015) and a BS resistance locus, RXopJ4, from Solanum pennellii LA716 has been fine-mapped (Sharlach et al, 2013). A combination of traditional genetic information through pedigrees and clustering with the molecular information is being integrated in search of bacterial disease resistance (Sharlach et al, 2013;Bhattarai et al, 2016).…”
Section: Introductionmentioning
confidence: 99%