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Poster Title: Evaluation of Wheat Scab Disease and Their Associations with Wheat Kernel Traits Through Grain Scan
Authors: F.N.U. Abdullah 1 , Daniel Hathcoat 1, Geraldine Opena 1 , Luke Whiteley 1, A.M.H. Ibrahim 2, Qingwu Xue 3, Jackie C. Rudd 3, Shannon Baker 3, Jason Baker 3, Shuyu Liu 1
1. Department of Soil & Crop Sciences, Texas A&M University, College Station, Texas
2. Texas A&M AgriLife Research, College Station
3. Texas A&M AgriLife Research, Amarillo, Texas
Corresponding author, Shuyu Liu, shuyu.liu@ag.tamu.edu
Presenting Author: FNU Abdullah
Poster Video:
Authors: F.N.U. Abdullah 1 , Daniel Hathcoat 1, Geraldine Opena 1 , Luke Whiteley 1, A.M.H. Ibrahim 2, Qingwu Xue 3, Jackie C. Rudd 3, Shannon Baker 3, Jason Baker 3, Shuyu Liu 1
1. Department of Soil & Crop Sciences, Texas A&M University, College Station, Texas
2. Texas A&M AgriLife Research, College Station
3. Texas A&M AgriLife Research, Amarillo, Texas
Corresponding author, Shuyu Liu, shuyu.liu@ag.tamu.edu
Presenting Author: FNU Abdullah
Poster Video:
Abstract
A significant and positive correlation up to 0.67 between visually observed FDK and DON values in Texas elite lines proved reliability of scab evaluation. Negative correlations of scab resistance ratings with thousand kernel weight and seed perimeter can be assessed as impacting seed size and quality and grain yield. The clustering analysis clearly differentiate three different clusters of traits (FDK and DON, INC and SEV, kernel traits) and refined PCA analysis in extreme lines showed that resistant lines with lower DON were positively associated with thousand kernel weight but negatively associated with FDK.