Morpho-physiological parameters
Data from non-stress and drought stress treatments were compared to assess the effect of drought stress on morpho-physiological parameters and it is depicted in Table 1. The mean square values for morpho-physiological parameters were highly significant (P≤0.01) between the treatments, the genotypes and their interaction (Table 2). Significantly maximum LDW (0.095 g), RWC (80.09%), CC(69.75 SPAD), LA (24.41 cm
2) and STO(11.12) was represented in NS condition as compared to DS. With respect to the selected cluster bean genotypes, all the morpho-physiological parameters were recorded significant difference. Maximum LDW (0.308 g), RWC (82.32%), CC (86.92 SPAD), LA (31.18 cm
2) and STO (14.56) was found in Pusa Navbahar genotype followed by genotype IC116866.
LDW ranged from 0.038(IC369860) to 0.334(Pusa Navbahar) with mean value of 0.10 for the NS treatment and from 0.033 (IC369860) to 0.282 (Pusa Navbahar) with a mean of 0.08 for the DS treatment. The mean LDW was 16.30% reduced in the DS than the NS treatment. Exposure to drought stress caused reduction in RWC (7.49%), CC (28.50%), LA (32.07%) and STO (36.21%) in the DS treatment. Genotypes Pusa Navbahar and IC369860 showed the maximum and minimum RWC, CC, LA and STO in both the conditions (NS and DS). The significant effect of the treatments, genotypes and their interaction for the various traits indicated that the expressions of the genotypes across the drought stress conditions was not static and non-responsive but rather adaptable.
The acclimation of plants to water deficit is the result of many different physiological and biochemical mechanisms. Under the drought stress condition, the chlorophyll content is reduced due to photo-oxidation, rupture of chloroplast, disintegration of chlorophyll molecules, or impaired chlorophyll biosynthesis. As a result of this, net photosynthesis rate is decreased (
Gebeyehu, 2006). In drought stress condition, there is an increase in ion. Available water and water potential are the two main components affecting the water translocation to the actively cell dividing sites
(Haider et al., 2018) which reflects on the behaviour of plant growth. Relative water content is a crucial indicator of relative water amount in plant. Under abiotic drought stress condition, the properties and structure of cell altered, unable to maintain the turgor as well as osmotic pressure. As a result, plant root cell are unable to absorb the soil water through osmosis. The reduction of RWC under drought stress was also revealed by
Haider et al., (2018). Leaf area is directly facilitated to the amount of photosynthesis. Decreased in leaf area is an early adaptive response in water deficit conditions. This decrease in cell volume results in lower turgor pressure and the subsequent concentration of solutes in the cells and finally plasma membrane becomes thicker and more compressed (
Taiz and Zeiger, 2002). This indicates that selection of genotypes under the stress conditions could be more productive for the future breeding and crop improvement programmes.
Impact of drought stress on yield and yield attributing parameters
Among yield and yield attributing parameters (Table 3), highly significant differences (P≤0.01) between the treatments, genotypes and their interactions were also perceived in all the variables except SPP and SWPP. Average value of PH was 135.21 cm and ranges between 100.68 to 191.72 cm among the genotypes. The yield related parameters like PPP, PL, PW and TW were found significantly maximum in Pusa Navbahar (126.4, 7.23 cm, 0.80 cm and 14.57 g) and lowest was observed in genotype IC369860 (51.90, 4.90 cm, 0.60 cm and 5.76 g) respectively. SBPP ranged from 13.36 to 4.76 with an average of 7.17 among the genotypes. The genotype Pusa Navbahar also showed the highest growth parameters PRPP (2.06), SRPP (19.10), LPR (23.05 cm) and LPP (178.16) as compared to the other genotypes. With respect to the NS and DS plants, NS plant was found significantly maximum growth, yield and yield attributing parameters.
The mean squares of treatment-by-genotype interaction (Table 4) also showed highly significant differences (P≤0.01). The PH was reduced 26.6% in the DS treatment as compared to the NS with mean value of 156.0 cm for NS and 114.5 cm for DS. Among the genotypes maximum plant height was obtained in Pusa Navbahar 194.9 cm under the NS and 188.6 cm in DS treatment. SBPP ranged from 7.5 to 13.7 with mean of 9.4 for the NS treatment while in DS treatment ranged from 2.0 to 13.0 with mean of 4.9. Due to the drought stress, there was reduction in PPP (34.9%), PL (17.2%), PW (14.7%) and TW (35.9%) than the non-stress conditions. As well as the other growth parameters (PRPP, SRPP, LPR and LPP) were found to reduce in the DS treatment.
The influence of drought stress on trait expression had been observed variation among the genotypes. Some parameters were found more prominent to drought stress effects than others. This difference could be attributed to differences between genotypes or to the nature of the traits. Under drought stress condition there is less availability of soil moisture which ultimately reflect on photosynthesis and other metabolism in plants which favors the luxurious vegetative growth
(Ange et al., 2016). There may be decreased in photosynthesis assimilation and less photosynthate partitioning to the developing grain under the drought stress regimes which thought to be decreased in yield and yield associated parameters
(Asfaw et al., 2012). The strong association between photosynthate assimilation and better remobilization of carbohydrates by drought-tolerant genotypes permits them to maintain high test weight irrespective of the moisture content of the soil
(Singh, 1995). Therefore, maintenance of higher photosynthesis rates is very much necessary under the water stress conditions which led to significantly increase in higher total dry matter accumulation and seed yield which was reported in groundnut
(Nageswara et al., 2001). Genotypic variations in root traits showed the adaptability under the drought stress condition. This indicated that genotypes disclosed a mechanism of dehydration avoidance by increasing or maintaining of water absorption through deep and extensive root systems (
Garg, 2004). In chickpea also showed that there was a positive correlation between root length and root density with the seed yield under the water stress condition
(Kashiwagi et al., 2006). Therefore, this is a clear indication of selection of genotypes having the deep and extensive root system would be very helpful to increase in seed yield under the drought stress conditions.