aab12083-sup-0001-FigureS1.pdfPDF document44KFig. S1. Dendrogram of Njavara accessions based on morphological data using Euclidean distance
aab12083-sup-0002-TableS1.pdfPDF document127KTable S1. List of plant materials used
aab12083-sup-0003-TableS2.pdfPDF document78KTable S2. Details of microsatellite markers used in the study
aab12083-sup-0004-TableS3.pdfPDF document79KTable S3. Mean squares from analysis of variance (ANOVA) for 13 traits in 143 rice accessions
aab12083-sup-0005-TableS4.pdfPDF document109KTable S4. Model summary (a) and component loading (b) obtained following principal component analysis (PCA) of 13 quantitative traits in 143 rice accessions
aab12083-sup-0006-TableS5.pdfPDF document71KTable S5. Means for the 13 traits evaluated in each of 143 rice accessions
aab12083-sup-0007-TableS6.pdfPDF document111KTable S6. Wilks' lambda (a), standardised canonical discriminant function (b), classification function (c) and classification results (d) obtained following the ‘step-wise’ method of discriminant analysis of 13 quantitative traits between Njavara (Class 1) and traditional cultivars (Class 2)
aab12083-sup-0008-TableS7.pdfPDF document129KTable S7. Frequency of private and shared alleles in Traditional cultivars and Njavara
aab12083-sup-0009-TableS8.pdfPDF document210KTable S8. C.S. Chord distance between 143 rice genotypes based on microsatellite data
aab12083-sup-0010-TableS9.pdfPDF document125KTable S9. Inferred ancestry of 143 rice genotypes yielded by the model based software structure

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