Germination (%)
Surface discharge cold plasma treatment showed a significant impact on germination (Fig 2). In cultivar varieties, IR-64 (96%) and MTU-1010 (94%) and BPT-5204 (74%) had maximum germination at T3 (10 min), which gradually reduced at T4 (20 min). The maximum germination was recorded in landraces at T4 (40 min), Karuppu Kavuni (94%) and Chitrakar (100%).
According to
De Groot et al. (2018), cold plasma is a non-chemical and sustainable approach to seed treatment that changes the surface of the seed without compromising its genetic purity. The enhanced rate of germination indicates that plasma treatment has enhanced physiological response. In the early stages of germination, plasma treatment enhances rapid water imbibition by increasing the wettability and roughness of the seed coat
(Bormashenko et al., 2015). Rapid hydration enhances efficient reserve mobilization and activation of metabolic enzymes in the early stages
(Singh et al., 2015). The genotype-dependent response shows that the plasma seed interactions are affected by the thickness of the seed coat and its biochemical components. Longer exposure times may become necessary for landraces with thicker or darker seed coats, which require greater surface modification. Thus, maximizing the improvement in germination as a function of genetic background requires optimizing exposure time.
Root length and shoot length
The effect of plasma exposure on the root and shoot length was significant (Fig 3 and 4). Although there was an increase in landraces up to T4, there was an increase up to T3 and a decrease at T4 in improved varieties for both traits. Root length was more sensitive than shoot length. Greater response to the plasma treatment was observed in root growth, indicating that there was a significant stimulation of early root growth . During early establishment, greater root growth improves the ability to uptake nutrients and water
(Ongrak et al., 2023; Rout et al., 2025). Water uptake, availability of soluble sugars and cell division in meristematic cells may be attributed to the stimulation by plasma. To a relatively lesser extent, shoot growth was also stimulated. plasma exposure may induce slight stress responses, as shown by the reduction in cultivars after optimal treatment. The genotype-specific sensitivity to plasma is further supported by the varied responses among cultivars and landraces
(Mildaziene et al., 2019).
Fresh weight and dry matter production
There were large variations in fresh weight and dry matter values among the treatments (Fig 5 and 6). In landraces, both values gradually increased up to T4 (40 min), whereas in cultivars, they increased up to T3 (10 min) and then reduced at T4 (20 min). Landraces had higher biomass production values than cultivars for longer exposure times.The enhanced water uptake and higher cell growth in plasma treated seedlings results in the enhanced fresh weight. The enhanced production of dry matter indicates better photosynthetic allocation and uptake. Plasma treatment enhances metabolic activation, which is beneficial for resource utilization. After plasma treatment, wheat exhibited a similar response in biomass production
(Kucerova et al., 2019). The reduced biomass in cultivars at higher exposure doses indicates a short time for optimal treatment. The improvements caused by the plasma impact subsequent growth performance, besides germination. Moreover, the genotype response highlights the importance of optimal exposure time for maximum benefit. Taking everything into account, biomass production at an early stage is enhanced by plasma treatment due to improved metabolic efficiency (
Perez-Piza et al., 2022).
Vigour Index I and Vigour Index II
Surface discharge cold plasma treatment showed a major impact on Seedling Vigour Index I and II (Fig 7 and 8). As IR-64 had the highest value of VI-I (3331.20) and VI-II (9.79) in the cultivated variety, T3 (10 min) proved to be the best treatment. MTU-1010 followed with VI-I (3210.19) and VI-II (8.65).VI-I (2102.49) and VI-II (4.14) at T3 for BPT-5204 also showed its highest vigour. Both values then decreased at T4 (20 minutes). Chitrakar showed the highest overall vigour with VI-I (4129.92) and VI-II (9.60), whereas KaruppuKavunishowed VI-I (3484.35) and VI-II (9.21). However, landraces showed their optimum value at T4 (40 minutes). Hence, T4 proved to be the best for landraces, whereas T3 proved to be the best for developed varieties. A complete indication of establishment potential, seedling vigour is measured by biomass, length and germination percentage. The higher VI-I and VI-II values at the optimal exposure times indicate the fact that plasma treatment enhances growth and dry matter accumulation simul-taneously. Higher metabolic activation, reserve mobilization and seedling growth are all signs of improved vigour. The evidence for this simultaneous improvement is also provided by the strong positive correlations between the indicators of growth and germination. Without inducing oxidative stress, the reactive oxygen and nitrogen species produced by plasma are likely to act as signalling molecules regulating hormonal and antioxidant systems
(Sayahi et al., 2024).Cereals and legumes have also been found to have similar plasma induced increases in vigour index
(Li et al., 2024). Genetic background differences in plasma sensitivity are suggested by the genotype-specific optimum exposure. In general, maximizing vigour increase in rice genotypes would require optimizing treatment duration.
Correlation analysis
Pearson’s correlation analysis (Fig 9) revealed strong positive associations between germination and seedling growth traits. Germination showed highly significant correlations with root length (r = 0.85), shoot length (r = 0.98), VI-I (r = 0.93) and VI-II (r = 0.98), indicating that enhanced germination directly contributed to improved seedling vigour.
Principal component analysis (PCA)
Principal component analysis further supported these relationships, as shown in (Fig 10). PC1 accounted for 93.6% of total variation, with strong positive loadings from germination, shoot length, root length and vigour indices, while PC2 (4.2%) was primarily influenced by root length. The clustering pattern confirmed the strong association among germination and vigour traits.