32 research outputs found

    MOESM1 of “Noisy beets”: impact of phenotyping errors on genomic predictions for binary traits in Beta vulgaris

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    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 3 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

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    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

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    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 1 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

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    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
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