Induced mutagenesis was carried out using the chemical mutagen-Ethyl methanesulfonate (EMS), which is one of the most commonly used alkylating agents in plant mutation breeding due to its efficiency in generating a high frequency of point mutations in DNA
(Talebi et al., 2012; Hasan and Jagadish, 1992).
In the present study on the analysis of variance (ANOVA) revealed significant differences among treatments for most of the studied characters, indicating the effectiveness of EMS in inducing variability in
Echinochloa frumentacea (Table 1). Highly significant treatment effects (P<0.01) were observed for root length, shoot length, germination percentage, plant height, leaf breadth at 45 DAS, spikelet number at 30 DAS and inflorescence length at 30 DAS. Significant differences at the 5% level were recorded for leaf breadth at 15 DAS, leaf length at 45 DAS, inflorescence length at 45 DAS, spikelet number at 45 DAS and flowering initiation. Non-significant differences were observed for certain traits such as leaf length at 15 and 30 DAS, stem breadth at 15 and 30 DAS, seed yield per plant and early-stage reproductive traits. The coefficient of variation (CV) ranged from 3.14% for germination percentage at 15 DAS to 43.96% for seed yield per plant, indicating varying levels of experimental variability among the traits studied.
Present study revealed significant variations in growth and morphological parameters of barnyard millet under different EMS treatment concentrations at 15, 45 and 65 DAS (Table 2). Moderate EMS treatments showed a stimulatory effect on plant growth, whereas higher concentrations exhibited inhibitory effects. Among all treatments, 0.6% EMS concentration consistently recorded the highest values for most growth parameters. Root length (RL) increased progressively with plant age, reaching maximum values at 65 DAS, with the highest observations in the 0.6% treatment across all replications. Similarly, shoot length (SL) and plant height (PH) were significantly enhanced under 0.6% EMS, indicating improved vegetative growth compared to control and other treatments. The germination percentage (G%) was also highest in the 0.6% treatment (ranging up to 98%), suggesting that this concentration was optimal for seed viability and early establishment. In contrast, higher EMS concentration (1.4%) showed reduced germination and growth performance, indicating toxic effects at elevated doses (Table 2).
Leaf parameters, including leaf breadth (LB) and leaf length (LL), showed gradual increases with plant age and were comparatively higher under 0.4% and 0.6% treatments. The stem breadth (SB) followed a similar trend, with moderate treatments promoting thicker stems, which is indicative of better plant vigour.
Reproductive parameters such as inflorescence length (IL) and spikelet number (SN) were also positively influenced by moderate EMS doses. The 0.6% treatment produced longer inflorescences and a higher number of spikelet, reflecting improved reproductive efficiency. In contrast, higher concentrations (0.8% and 1.4%) resulted in reduced reproductive traits. Seed yield (SY) was found to be highest in the 0.6% treatment across replications, further confirming its effectiveness in enhancing overall plant productivity. Lower and higher concentrations showed comparatively reduced yields. With respect to phenology, flowering (FL) was observed around 40-45 DAS, with slight variation among treatments. Early flowering was more prominent in the 0.6% treatment (around 40 DAS), whereas delayed flowering (up to 45 DAS) was observed in higher EMS concentrations. The crop attained physiological maturity at approximately 65 DAS, confirming the early maturing nature of the treated variants. The 0.6% EMS treatment recorded significantly higher values (p≤0.05) for germination, root length, shoot length, plant height and yield-related traits compared with the control and other EMS treatments.
Overall results clearly demonstrate that EMS induces dose-dependent effects on plant growth and development. A significant increase (p<0.05) in growth parameters was observed under 0.6% EMS treatment emerged as the most effective, significantly enhancing germination, vegetative growth and yield attributes as per prior studies reported by
Kavera et al. (2017). This increase was 35-40% higher than control. In contrast, higher concentrations (1.4%) exhibited inhibitory effects, reducing growth and productivity. In contrast, the reduction in growth and germination observed at higher EMS concentrations (1.4%) may be associated with mutagenic toxicity. Similar inhibitory effects of higher EMS doses have been reported in several cereals and legumes
(Talebi et al., 2012; Wani et al., 2012). This dual role of EMS as both a mutagenic and cytotoxic agent has been well documented in the literature, where optimal doses induce useful genetic variability, while excessive doses cause detrimental effects (
Gaul, 1964;
Wani et al., 2012). Therefore, the identification of an optimal EMS concentration is crucial for successful mutation breeding and crop improvement programs. The stimulatory effect observed at moderate EMS concentrations, particularly 0.6%, may be attributed to the induction of beneficial genetic variability without causing excessive cellular damage. Moderate EMS doses can enhance metabolic activity, cell division and physiological efficiency, resulting in improved germination, seedling vigour and vegetative growth. Similar improvements following moderate EMS treatments have been reported in rice, groundnut, soybean and other millet crops
(Talebi et al., 2012; Kavera and Nadaf, 2017;
Shekar and Pushpendra, 2017).
Seed vigour Index, is widely used to evaluate seedling performance by integrating germination percentage with seedling growth parameters. It provides an overall assessment of seed quality and early plant development. In the present study, seed vigour index was calculated using the following relationship:
SVI integrates both germination and seedling growth, providing a comprehensive measure of seed vigour
Results indicated that moderate EMS concentrations produced higher seed vigour index values compared with both control and higher EMS treatments. The highest vigour index was observed under 0.6% EMS treatment, indicating superior seedling vigour and growth performance. These findings suggest that optimal EMS concentrations can enhance early seedling development by inducing beneficial genetic variations. Observed enhancement at moderate EMS doses aligns with previous mutation breeding studies where moderate EMS doses improved seedling vigour and growth potential, while higher doses caused physiological damage leading to reduced vigour
(Talebi et al., 2012; Ramesh et al., 2019).
The present analysis demonstrates the effect of different concentrations of Ethyl methanesulfonate (EMS) on the inflorescence traits of the PRJ-1 variety of barnyard millet (Fig 4).
The control (0%) exhibited normal morphology, while varying EMS doses induced noticeable changes in spikelet number and inflorescence structure. Among the treatments, the 0.6% EMS concentration showed the most pronounced positive effect, producing a comparatively bulkier and more compact inflorescence with increased spikelet number, indicating enhanced reproductive potential. Lower concentrations (0.4%) resulted in moderate variations, whereas the higher concentration (0.8%, 1.4%) appeared to exert inhibitory effects, likely due to mutagenic toxicity affecting normal growth processes. Overall, the results suggest a dose-dependent response of EMS, with 0.6% identified as the optimal concentration for inducing beneficial morphological variations in barnyard millet (Fig 4).
Statistical analysis (
Scattered plots)
The statistical analysis as per (Table 2) to examine the relationship between two continuous variables by representing individual data points on a Cartesian plane. They provide a clear visual understanding of the direction, strength and pattern of association between variables, which is essential prior to conducting correlation or regression analysis. In biological and agricultural studies, scatter plots are particularly useful for assessing relationships among morphological traits such as root length, shoot length and plant height. For instance, a positive linear trend in a scatter plot indicates that an increase in one trait is associated with an increase in another, reflecting coordinated growth patterns. Additionally, scatter plots help in identifying outliers and data clusters, which may indicate variability among treatments or experimental conditions. According to
Montgomery et al. (2021) scatter plots are fundamental tools for preliminary data exploration and model assessment, while
Field (2013) emphasized their importance in detecting relationships and validating assumptions of statistical tests. Thus, scatter plots serve as an essential graphical method for understanding interrelationships among variables and supporting further statistical analysis in experimental research (
Field, 2013;
Montgomery et al., 2021).
Root length vs shoot length the scatter plot depicting root length (RL) versus shoot length (SL) shows a clear positive relationship, indicating that an increase in root growth is associated with a corresponding increase in shoot growth (Fig 5). The data points for the 0.6 treatment are clustered at higher RL and SL values, demonstrating superior performance and strong coordination between below- and above-ground growths. In contrast, the 1.4 treatment is positioned at comparatively lower values, indicating reduced growth and possible inhibitory effects at higher concentration. The control exhibits the lowest cluster, reflecting minimal growth. Overall, this graph suggests that moderate treatment (0.6) enhances root-shoot interaction, leading to improved plant development.
The scatter plot of PH versus LL reveals a positive association between these two traits, suggesting that taller plants tend to develop longer leaves (Fig 6). The 0.6 treatment shows the highest clustering, indicating maximum plant height and leaf expansion, which reflects enhanced vegetative growth. Conversely, the 1.4% treatment exhibits relatively lower values, suggesting restricted growth possibly due to stress or toxicity at higher concentration levels. The control group remains at the lower end of the distribution. This relationship highlights that optimal treatment levels improve both structural growth and leaf development, contributing to better photosynthetic capacity.
The scatter plot illustrating RL versus PH demonstrates a positive correlation indicating that plants with longer roots tend to achieve greater height (Fig 7). The 0.6% treatment is clearly associated with higher RL and PH values, confirming its effectiveness in promoting overall plant vigour. In contrast, the 1.4% treatment is positioned lower on both axes, indicating weaker root development and reduced plant height. The control group shows the least growth. This graph emphasizes the importance of root development in supporting vertical growth and confirms that moderate treatment enhances overall plant performance, while higher concentrations may hinder growth.
The scatter plot of SL versus PH indicates a strong positive linear relationship, demonstrating that increased shoot elongation contributes directly to greater plant height (Fig 8). The 0.6% treatment exhibits the highest values for both SL and PH, reflecting optimal growth conditions and efficient biomass accumulation. In contrast, the 1.4% treatment shows comparatively lower values, indicating restricted shoot development and reduced plant height. The control group again remains at the lowest range. This graph confirms that shoot growth is a major determinant of plant height and that moderate treatment levels significantly enhance above-ground growth, while higher doses have an inhibitory effect.
The Pearson correlation heatmap indicated positive associations among several growth, morphological and yield-related traits. Correlation coefficients ranged from moderate to strong positive values, suggesting possible relationships among these characters. However, these associations should be interpreted cautiously because correlation does not imply causation and further validation is required under larger populations and multiple environments. As per (Fig 9), the intensity of green colour indicates strong positive correlation, while lighter shades or near-zero values indicate weak or negligible relationships. A strong positive correlation was observed among most morphological and yield traits. Parameters such as LB, LL, SB, IL and SN improvement in one trait is likely to be associated with improvement in others. This suggests that improvement in one of these traits is likely to be associated with improvement in others, indicating their collective contribution toward overall plant productivity. SY exhibited positive associations with SN and IL suggesting that reproductive traits may contribute to yield improvement. However, the magnitude of these correlations should be interpreted carefully and additional studies involving larger populations are required to validate these relationships. RL and SL exhibited moderate positive correlations with most traits (r ≈ 0.50-0.68), suggesting their importance during early growth stages in establishing overall plant Vigour. However, their association with reproductive traits was comparatively lower than that of morphological parameters. PH showed weak or negligible correlations with several parameters (r≈-0.04 to 0.05), indicating that plant height alone may not be a reliable indicator of yield or reproductive success in this study. Correlation analysis reveals that reproductive and morphological traits are strongly interlinked and selection based on these traits particularly inflorescence length, spikelet number and leaf characteristics can be effective for improving seed yield in barnyard millet. The correlation analysis indicates that EMS-induced variability influenced several growth, morphological and yield-related traits. Nevertheless, correlation does not establish causation and the observed associations should be considered indicative rather than conclusive. The development of early-maturing mutants has important practical implications for crop improvement. Early-maturing genotypes can escape terminal drought, require fewer production inputs, facilitate multiple cropping systems and improve adaptation under changing climatic conditions. Therefore, the identified early-maturing mutant lines may serve as valuable genetic resources for future barnyard millet breeding programmes aimed at enhancing productivity and climate resilience.
Identification and stability of early-maturing mutants
Early-maturing mutant lines were identified based on flowering initiation at 40-45 DAS and physiological maturity at approximately 65 DAS compared with the control plants, which required 90-100 days to attain maturity. The selected mutant lines exhibited consistent expression of early maturity and associated morphological traits across M
1, M
2 and M
3 generations, indicating phenotypic stability. Mutants were selected and advanced individually in each generation based on earliness, plant vigour and desirable agronomic characteristics.