Table 1.
List of agro-morphological traits consisting of 14 quantitative characters studied among finger millet accessions.
Table 2.
Range observed for 14 agro-morphological traits at E1 (Hilly region) and E2 (Plain region).
Fig 1.
A)Comparison of Indian and exotic finger millet accessions of E1 location (Almora) for agro-morphological traits under study (BT- Basal tiller number, CT- Culm Thickness, DF- Days to 50% flowering, DM- Days to 50% maturity, EL- Ear length, EW- Ear width, FLBL- Flag leaf blade length, FLBW- Flag leaf blade width, FN- Fingers per head, GY- Grain yield, LLF- Length of longest finger, PH- Plant height, PL- Peduncle length, WLF- Width of longest finger). B) Comparison of Indian and exotic finger millet accessions of E2 location (Pantnagar) for agro-morphological traits under study (BT- Basal tiller number, CT- Culm thickness, DF- Days to 50% flowering, DM- Days to 50% maturity, EL- Ear length, EW- Ear width, FLBL- Flag leaf blade length, FLBW- Flag leaf blade width, FN- Fingers per head, GY- Grain yield, LLF- Length of longest finger, PH- Plant height, PL- Peduncle length, WLF- Width of longest finger).
Fig 2.
A) Correlation coefficients (above diagonal) and linear regressions (below diagonal) among 14 agro-morphological traits (abbreviations and units, see Table 1), based on 113 accessions of finger millet at E1 location (Almora). *, **, *** Significant at 0.05, 0.01, and 0.001 probability levels, respectively. B) Correlation coefficients (above diagonal) and linear regressions (below diagonal) among 14 agro-morphological traits (abbreviations and units, see Table 1), based on 113 accessions of finger millet at E2 location (Pantnagar). *, **, *** Significant at 0.05, 0.01, and 0.001 probability levels, respectively.
Fig 3.
A) Two-dimensional plot showing the variability of 14 traits across 113 accessions of finger millet at E1 location (Almora). B) Two-dimensional plot showing the variability of 14 traits across 113 accessions of finger millet at E2 location (Pantnagar).
Table 3.
The details of genomic SNP markers associated with agronomic traits using GLM and MLM approach in 113 accessions of finger millet.
Table 4.
Significant marker-trait associations (MTAs) identified using MLMM (Multi-Locus Mixed Model).
Table 5.
Significant marker-trait associations (MTAs) identified using MTMM.
Table 6.
The details of SNP markers associated with candidate genes of Oryza sativa and Setaria italica analyzed by in silico comparative genomics.