Per cent disease index (PDI) assessed 109 days after sowing (DAS) for the year 2020-21 under field condition ranged from 13.00% to 40.67% whereas the same estimated 115 DAS under artificial inoculation varied from 13.50% to 38.89% (Table 3). Based on PDI estimation none of the genotypes in the experiment was fond to be of either immune (disease reaction- 0), moderately susceptible (disease reaction- 5), susceptible (disease grade- 7) or highly susceptible (disease reaction- 9) type both under field as well as under artificial inoculation. The germplasm were thus found to be showing resistance (disease reaction- 1 and 2) to moderately resistance (3 and 4) disease reaction (Table 4). The above results were in conformity with observation made by
Yadav et al., (2017), Das et al., (2017) and
Kant et al., (2017) with lentil genotypes showing variable response towards
S. botryosum in field condition thereby establishing the variability over the genotypes in terms of the response to the disease-causing organism as it was found in the present experiment. Subedi and Neupane (2018) while studying Stemphylium blight in lentil reported a higher crop yield with lower disease index.
Phenol and OD phenol estimated at 70 DAS and 103 DAS under field condition revealed an increment in their concentration following the appearance of the disease in all the studied germplasm. On the contrary polyphenol oxidase (PPO) concentration measured at 102 DAS after disease appearance under field condition and 48 hrs after inoculum sprayed in pot condition revealed the highest absorbance (6.60 and 4.95 abs min
-1 g
-1) as against the lowest reading of 1.35 and 0.90 abs min
-1 g
-1 under field and pot condition respectively. The ANOVA (Table 5 and Table 6) revealed significant variation among the genotypes for all the studied characters.
The mean, range, genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability (broad sense) and genetic advance as per cent of mean (GAM) have been presented in Table 7. The PCVs were observed to be higher than the corresponding GCV ranging from 18.04 to 49.30 for GCV and 18.74 to 51.38 for PCV respectively with high GCV being noted for change in phenol (49.30) coupled with high PCV (51.38) indicating the environmental influence for the studied character. Except for phenol content at 103 DAS showing moderate GCV (18.04) and PCV (18.74) remaining characters showed high GCV and PCV. High heritability was recorded for all the studied characters ranging from 91.88 to 97.98% and high GAM was observed for all the studied characters ranging from 35.76 to 97.46 as per the classification as suggested by
Johnson et al., (1955). High heritability coupled with high GAM indicated the characters under study being predominantly controlled by additive gene action and hence direct selection can be resorted to. The characters
viz; phenol 70 DAS, phenol 103 DAS, OD phenol 70 DAS, OD phenol 103 DAS, PPO 102 DAS under field condition and PPO 48 hrs. after inoculation under artificial inoculation were found to be showing an incremental trend following disease infestation.
Ahuja et al., (2015) similarly observed significant variation in phenolic compounds among the lentil genotypes.
The genotypic correlation between AUDPC and change in phenol, change in OD phenol and PPO content measured 102 DAS indicated different degree of association under field condition as presented in Table 8. While AUDPC revealed significant and negative association with change in phenol (-0.686) and changes in OD phenol (-0.495) PPO activity revealed non-significant but negative (-0.147) correlation with AUDPC. The positive and significant association of change in phenol with change in OD phenol content (0.572) and PPO 102 DAS (0.278) was indicative of the simultaneous manifestation of the biomolecules under the incidence of disease. On the contrary PPO content measured 48 hours after inoculation revealed significant and negative correlation with AUDPC (-0.195) under artificial inoculation (Table 9). Thus, the measured biomolecules can be used as an indicator for screening against the disease.
The bivariate curve, based on two parameters
viz., PPO activity 48 hrs after inoculation and AUDPC under artificial inoculation, was derived from the cluster mean values of the said characters as presented in Fig 1. Observation from the same graph indicated that in cluster IV, the PPO content was high (3.23 abs min
-1 g
-1) and the corresponding AUDPC was low (206.71). On other hand in cluster I the concentration of PPO was very minimal (1.98 abs min
-1 g
-1) while higher (314.02) AUDPC was recorded. Similar observation was also recorded in cluster III with 1.54 abs min
-1 g
-1 PPO and the AUDPC being recorded was high (398.28). The presence of variable number of germplasm in different clusters would thus enable to select germplasm based on the relationship of two characters from contrasting groups and could be considered for further study as far as the response of the germplasm towards the disease was concerned. Based on the disease reaction (Table 4) the contrasting germplasm or their combination may be chosen for further crop improvement. Similar results on genetic diversity in lentil have been reported by
Maurya et al., (2018) and
Pandey et al. (2017).