32 research outputs found
MOESM1 of “Noisy beets”: impact of phenotyping errors on genomic predictions for binary traits in Beta vulgaris
Additional file 1: Figure S1. TPR/TNR variability with all SNP and with subsets of 30 or 50 SNP Distribution of TPR (red) and TNR (blue) in the validation set using KNN and RF with all 175 SNP and with subsets of 50 and 30 SNP. TPR and TNR as a function of mislabeled observations, from a 5-fold cross validation repeated 100 times. Results are presented per method
Additional file 1: Table S1. of A new polymorphism on chromosome 6 associated with bolting tendency in sugar beet
Information on 192 SNPs used in the study. (XLSX 37Â kb
Additional file 2: Table S2. of A new polymorphism on chromosome 6 associated with bolting tendency in sugar beet
Sequences of the designed primers and TaqMan probes for detection of the SNP183. (DOC 28Â kb
MOESM2 of Comparison of three PCR-based assays for SNP genotyping in plants
Additional file 2: Table S2. Flanking sequences of evaluated SNPs indicated by brackets
Additional file 10 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
Additional file 10: Supplementary Table 4. QTNs comparison with QTL identified in the literature
Additional file 3 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
Additional file 3: Supplementary Fig. 3. Genotypic variability of the 185wheat genotypes. Loading plot of the first (PC1) and second (PC2) principalcomponents showing the variation among individuals. Based on Triticum ssp.,genotypes are represented by different colored symbols indicated in the legend
Additional file 4 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
Additional file 4: Supplementary Fig. 4. Intra-chromosomal LD decaydistance (kb) evaluated considering (A) the whole genome, (B) A genome, (C) Bgenome. Dashed lines indicate the r2 threshold. The intersectionpoint between the decay LD curve and the LD threshold was shown
Additional file 7 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
Additional file 7: Supplementary Table 1. BLUPs values for the traits under study
Additional file 1 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
Additional file 1: Supplementary Fig. 1. Frequency distribution of BLUPsfor 15 traits among cultivars. X-axisshow BLUP values while in the y-axisthe frequency is reported
Additional file 5 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
Additional file 5: Supplementary Fig. 5. Numbers of significant QTNs detected for 15 traits using six multi-locus GWASmethod