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Typus
Verschleierung
Bearbeiter
SleepyHollow02
Gesichtet
No.png
Untersuchte Arbeit:
Seite: 35, Zeilen: 2-13
Quelle: Mohamed 2009
Seite(n): 35, Zeilen: 1 ff.
3. Results:

The barley population of wild and cultivated forms was evaluated under Fusarium head blight disease stress under greenhouse and field-potted conditions for three successive seasons (2009, 2010 and 2011). In parallel, the population was genotyped with 895 DArT Markers to identify DArT markers associated disease infection tolerance. Structure analysis was conducted using Structure software 2.2 and Principal Component Analysis (PCA), Kinship coefficients matrix calculated by SPAGeDi 1.3 software and then the association analysis was achieved including population structure (PC values) and relatedness relationship coefficients (K matrix) to avoid the superiors association to detect the marker genotype which associated with studied traits by SAS 9.2 software. The following part presents the phenotypic variation, phenotypic correlation among traits, and the markers which associated with each trait.

3.1 Phenotypic measurements

In this study 140 accession were evaluated for quantitative traits (Leaves Disease Scoring; visual and Image analysis software for plant disease quantification (APS Assess) scoring (VS and LDS), Spikes Disease scoring (SDS) and Heading date (HD)) for two different isolates from Fusarium graminarum (5.1 and 5.3) the phenotypic differences between genotypes in 2009, 2010 and 2011 seasons are shown in table (3).

3. Results:

The structured barley population was evaluated under well-watered and drought stress conditions under greenhouse for two successive seasons (2007 and 2008). In parallel, the population was genotyped with 1081 DArT Markers to identify DArT markers associated drought tolerance traits in structured barley population. Structure analysis was conducted using Structure software 2.2, and Kinship coefficients matrix calculated by TASSEL 2.0.1, and then the association analysis was achieved including population structure (Q-matrix) and relatedness relationship coefficients (K-matrix) to avoid the superiors association to detect the marker genotype which associated with studied traits by ASReml Software version 2. The following part presents the phenotypic variation, phenotypic correlation among traits, and the markers which associated with each trait.

3.1 Phenotypic measurements

In this study 119 accession were evaluated for quantitative traits (Wilting score, Shoot fresh weight, Shoot dry weight, Root traits, Root/Shoot ratio, Relative water content, Osmotic potential, and Proline content) the phenotypic differences between wellwatered and stress conditions in 2007 and 2008 seasons are shown in table 3.

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