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Typus
Verschleierung
Bearbeiter
SleepyHollow02
Gesichtet
No.png
Untersuchte Arbeit:
Seite: 83, Zeilen: 1-13
Quelle: Mohamed 2009
Seite(n): 81, Zeilen: 6 ff.
In parallel, DNA has been extracted from 10 mg freeze drying of each accession by using “Kit” procedure according DNeasy Plant Handbook 07/2006. The produced DNA of the accessions was sent to Australia and genotyped by using 1081 DArT markers (YarralumlaACT, Australia). The phenotypic data were analyzed each season separately as one way ANOVA using Proc GLM procedure and the Pearson correlation coefficients (r) between traits under disease infection condition were calculated by SAS version 9.2 (SAS institute 2008). PCA was carried out by using SAS 9.2 program PROC PRINCOMP, for study of the population structure. The significance for PCA was evaluated using Franklin et al. (1995) method. The relative kinship coefficients (K matrix) among all pairs of accessions were calculated using 895 DArT markers data by “SPAGeDi-1.3d” Software to calculate the pair-wise kinship coefficients for all accessions. The association analysis was performed in mixed linear model (MLM) including PCA values and K matrix. All studied traits LDS, VS, SDS and HD were exhibited highly significantly differences in three years. In parallel, DNA has been extracted from 10 mg freeze drying of each accession by using “Kit” procedure according DNeasy Plant Handbook 07/2006. The produced DNA of the accessions was sent to Australia and genotyped by using 1081 DArT markers (YarralumlaACT, Australia). The phenotypic data were analysed each season separately as one way ANOVA using Proc GLM procedure and the Pearson correlation coefficients (r) between traits under well-watered and drought stress condition were calculated by SAS version 9.1 (SAS institute 2003). [...] The relative kinship coefficients (K matrix) among all pairs of accessions were calculated using 1081 DArT markers data by TASSEL Software version 2.0.1 to calculate the pair-wise kinship coefficients for all accessions. For the results of ANOVA, the followed traits, WS, SFW, RWC, RL, FWa, FWb, FWc, RFW, DWc, RDW, and PC were exhibited highly significantly differences in both seasons, Pearson correlation coefficients (r) between 12 pairs of studied traits have been detected under droughtstress (D) and well-watered (W) treatment across two years (table 6 ). With regarding to the population structure, the accessions were subdivided into 12 subpopulations, which correspond well with genetic distances and origin of the genotypes (table 3 and figure 4). Seventy nine markers were correlated
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