Analysis of variance
The combined analysis of variance was worked out that showed significant differences (p<0.001) among genotypes and treatments of PEG 6000 (Table 2). Genotype × treatment interaction was also significant (p<0.001) for all the characters studied. This shows that there was a significant variation present in genotypes, treatments and genotypes × treatments. Hence, assessment of the effect of PEG 6000 solution on genotypes for drought screening was possible.
Per se performance
By and large water stress affects the overall cell activities of a plant that ultimately results in a reduction in growth which premise reported earlier. The cellular elongation process and the carbohydrates wall synthesis are very susceptible to water deficit
(Wenkert et al., 1978) and decrease in growth was the consequence of the turgescence laying down of these cells
(Shalhevet et al., 1995). The general mean of twenty-one genotypes for shoot length was 19.07 cm in control (Table 3). It was decreased to 12.20 cm and 11.17 cm in T
1 and T
2 respectively (Table 4 and 5). In T
2, the genotypes RU-16-9 (14.40 cm), RU-16-13 (13.80 cm) and ADT-5 (13.55 cm) recorded significant high values for shoot length (Table 5). Shoot length is reduced when the water stress is increased. The scarcity in the amount of water in drought condition results in dropping of cell growth and enlargement. According to
Kramer (1974), the first determined effect due to water deficit was the growth reduction caused by the decline in cellular expansion. Results were in agreement with the findings of
Babu and Rosaiah (2017) in blackgram and
Deshmukh et al., (2001) in sorghum.
A slight increase was observed in general mean of root length in T
1 (11.87 cm) and T
2 (12.64 cm) when they were compared to control (9.37 cm). As the plant was subjected to a water stress condition, the plant developed a good root system to uptake more amount of water from the soil. For developing a better root system, the plant diverts all the food sources from the photosynthesis process to root cells for its growth and development. This ensures the plant to uptake enough water from the soil in water stress condition. For root length, the genotypes ADT-5 (18.45 cm) and KGB-28 (18.25 cm) expressed significant high value in T
2. These genotypes can be selected for root length character for breeding purposes to drought tolerance.
A gradual decrease was observed in fresh weight and dry weight of the shoot and root. Fresh root weight decreases reported in wheat cultivars
(Rauf et al., 2007 and
Khan et al., 2013). and sorghum
(Bibi et al., 2012). Water stress condition affects the overall production of biomass. It limits the growth of the plant. In T
2, the genotypes ADT-5 and KGB-28 resulted in significant high value for shoot dry weight (0.0949 g and 0.0879 g) and root dry weight (0.0421 g and 0.0525 g). Reduction in root dry weight stated by
Pratap and Sharma (2010) in blackgram,
Anaytullah (2007) in rice and
Dezfuli et al., (2008) in maize.
In addition, root shoot ratio is a good indicator for drought screening. When a genotype expresses high root to shoot ratio, it indicates the genotype have good drought escape mechanism. High root shoot ratio was recorded by the genotypes VBN(Bg)-7 (1.54) followed by VBG-10010 (1.51) and KGB-28 (1.47). These genotypes can be selected for the root shoot ratio in drought breeding programs. Because these genotypes have good drought escape mechanism by developing a much better root system than shoot system in water-stressed condition.
Stress tolerance index
Based on total dry weight, the stress tolerance index revealed that the genotype ADT-5 logged the highest value 2.16 followed by KGB-28 (1.92) and RU-16-9 (1.58) (Table 6). Thus, these genotypes had better tolerance than other genotypes in water-stressed condition.
Clustering and ranking of genotypes
By using multivariate analysis, the blackgram genotypes grouped into different clusters based on the quantitative characters observed in T
2 (Table 7). The cluster I was comprised of genotypes ADT-5, KGB-28, RU-16-9, VBG-10010 and VBG-12062 (Fig 1). These genotypes were identified as drought-tolerant genotypes based on their mean performance. Cluster II was classified as moderately susceptible which contained the genotypes VBG-11011, MDU Local, VBG-12005, KU-11680, VBG-13017, VBN(Bg)-6, IC-343962 and VBN(Bg)-7.
Cluster III had genotypes such as, ABG-11013, TBG-104, RU-16-13 and RU-16-14 which were moderately tolerant to drought. The genotypes IC-343943, IC-343947, T-9 and VBN (Bg)-4 were clustered in cluster IV which was the group of drought susceptible genotypes.