Table 1.
Descriptions of the groundnut genotypes used for genetic diversity analysis.
Fig 1.
Monthly weather data during the field trial at ICRISAT/India during (A) 2018/19 and (B) 2019/20 post-rainy seasons.
Table 2.
Analysis of variance showing mean square values due to year, replications (Rep), blocks (BLK), genotypes (Geno), and genotype by year and error 13 phenotypic traits among 100 groundnut genotypes across two seasons evaluated under drought-stressed and non-stressed conditions.
Table 3.
Pearson’ s correlation coefficient (r) showing association of 13 phenotypic and physiological traits of 100 groundnut genotypes evaluated across two seasons evaluated under drought-stresses (upper diagonal) and non-stressed (lower diagonal) conditions.
Table 4.
Principal component scores, Eigenvalues, variances of 13 phenotypic traits among 100 groundnut genotypes evaluated under drought-stressed and non-stressed conditions across two seasons.
Table 5.
Diversity indices statistics of the 99 groundnut genotypes based on 16 363 SNP markers.
Fig 2.
Percentage distribution of pairwise genetic distance for 99 groundnut genotypes with 16,363 SNPs.
Fig 3.
Population structure analysis of 99 groundnut genotypes; (a) Delta K showing the number of populations; (b) Bar plot of population sorted by kinship matrix.
Table 6.
Allele frequency divergence among sub-populations and expected heterozygosity (average distance) between genotypes with in the same subpopulations.
Table 7.
Analysis of molecular variance based on two subspecies using 16,363 SNP markers in 99 groundnut genotypes.
Fig 4.
Dendrogram showing relatedness among the 99 groundnut genotypes based on phenotypic matrix.
Fig 5.
Dendrogram showing relatedness among the 99 groundnut genotypes based on genotypic matrix.
Fig 6.
Dendrogram showing relatedness among the 99 groundnut genotypes based on combined matrix.
Fig 7.
Tanglegram showing comparison of phenotypic and genotypic dendrograms.
See codes of genotypes in S5 Table.