Validation and Marker Assisted Selection of Three QTL Conditioning ...

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Marker Validation – 23 SSR + 2 STS3BSgwm389barc075gwm533barc133STS3B142STS3B66gwm493cfd0795ASbarc001barc117barc056barc186barc040barc100gwm156barc186barc1973ASbarc045gwm002gwm032gwm674barc019barc067wmc428wmc264
Table 1. Comparison of Coefficients of Determination (R 2 x100) of three QTL on three components of FHB resistance intwo populations (A and B)QTLFHB FieldIncidence (%)FHB FieldSeverity (%)FHB DONContent(ppm)FHBGreenhouseSeverity (%)ABABABAB3BS10.023.817.426.826.5-40.55.05AS31.621.016.514.48.5--5.53AS-29.2-18.5---4.9Allmarkers42.952.233.542.436.3-43.510.93BS: Barc133, STS3B-142; 5AS: Barc117, Barc186; 3AS: Wmc428, WMC264
Page 1 and 2: Validation and Marker AssistedSelec
Page 4 and 5: Constraints that Greatly Limit theD
Page 6 and 7: Disease Screening is Laborious and
Page 8 and 9: Objectives of Current Study• Vali
Page 10 and 11: Materials & Methods• Experiment I
Page 12 and 13: FHB Severity (%) - Type II resistan
Page 14 and 15: Spray-Inoculation: Field
Page 16 and 17: DON Content - Type III resistance
Page 18 and 19: Results & Discussions• Validation
Page 20 and 21: Fig.1. Genetic Maps of W14
Page 22 and 23: Table 3. Putative QTL for type I, I
Page 26 and 27: MAS of Three Components of FHB Resi
Page 28 and 29: Summary Remarks• This study targe
Page 30 and 31: Ongoing Research ApplicationsMarker

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