Analysis of Variance (ANOVA) exhibited highly significant differences among genotypes for all the traits (Table 1). Based on D2 values, the genotypes were grouped into 12 clusters using Tocher’s method given by Rao (1952). Of the 12 clusters, cluster I was the largest comprising 60 genotypes followed by cluster II (55 genotypes), cluster III (21 genotypes), cluster VII (11 genotypes), cluster X (3 genotypes) and seven clusters (IV, V, VI, VIII, IX, XI, XII) were solitary with single genotypes each. These results are similar to observations of Muniswamy et al., (2014) and Patel et al., (2018). Katiyar et al., (2004), observed 14 clusters while grouping of 221 genotypes whereas Nethravathi and Patil (2014) obtained nine clusters using 196 genotypes.
Generation of more clusters in general and sole clusters in specific is a representative of existence of huge amounts of diversity between the set of genotypes. The genotypes that fall into solitary cluster more usually have some distinctive characters which make them divergent. Furthermore, the genotypes which have congregated into a cluster exhibit narrow range of genetic diversity among them while, between clusters had broad range of variability. The generation of such clusters may be due to total isolation arresting the gene flow or rigorous natural or human selection for diverse adaptive complexes. The grouping of 154 germplasm lines into twelve clusters is presented in Table 2.
The highest intra cluster distance was noticed in cluster VII (55.57), followed by III (47.15), I (43.47), II (41.52) and X (37.95). The inter cluster D
2 values were maximum (241.23) between clusters V and IX indicating these two clusters are distantly placed, followed by clusters VI and IX (238.89), IV and IX (238.63). It is sensible to select genotypes from clusters showing high inter cluster distance for further crossing programme (Table 3). These results are in agreement with the earlier findings of
Sreelakshmi et al., (2010), Muniswamy et al., (2014) and
Patel et al., (2018).
Cluster mean analysis (Table 4) indicated that cluster IV (87.00) and II (92.45) are comprised of early flowering genotypes. Cluster XI (133.00) comprised early maturing genotypes followed by cluster VIII (136.00). The highest cluster mean for number of pods per plant was recorded in cluster IX (286.00) followed by cluster III (231.52). The highest cluster mean for seed yield per plant was recorded cluster IX (51.70) followed by cluster III (40.77). The maximum cluster mean for 100 seed weight was recorded in cluster XI (12.00) followed by cluster IV (11.50). Similar results were also obtained by
Muniswamy et al., (2014) and
Patel et al., (2018).
Contribution of individual characters towards divergence have been calculated (Table 5), which revealed that the relative contribution of number of pods per plant has maximum (71.62%) followed by plant height (13.06%), number of days to maturity (8.93%), number of days to 50 per cent flowering (2.94%), seed yield per plant (2.90%) and rest of the genotypes have shown very negligible or no contribution towards diversity. While selection of genotypes, characters like number of pods per plant should receive maximum importance as they contributed more towards genetic divergence. These findings are in confirmative with previous results of
Muniswamy et al., (2014), Singh et al., (2010), Bhadru (2011) and
Hariprasad et al., (2018).
Trichome length and density
The average pod trichome length obtained was 0.22 mm per mm
2 and it ranged from 0.10mm (IC468576) to 0.39 mm (IC523145). The average pod trichome density recorded was 33.92 per 1 mm
2 and it ranged from 10.47 (IC468576) to 58.87 (IC523106). Estimation of phenotypic correlation coefficients for shrivelled seed yield per plot due to pod fly (
Melanagromyza obtusa) incidence with pod trichomes in 75 randomly selected pigeonpea lines revealed negative non significant correlation indicating that the genotypes having high trichome length and trichome density suffered less damage by pod fly may due to antixenosis (Table 6). The genotypes IC523145 and IC553106 which had more trichome length and density respectively, had less shrivelled seed yield per plot (Plate 1, 2). These genotypes can be used in the breeding programme against pod fly host plant resistance. The above results and findings are in line with the findings of
Moudgal et al., (2008), Revathi (2014) and
Dhakla et al., (2010). The foldscope was used to measure rice root hair length and rice lemma trichome
(Diwan and Kashappa, 2019).
Morphological characterisation
Out of 154 genoytypes, morphological variation was not observed for plant growth habit, leaf pubescence and pod pubescence. Unique genotypes were observed for characters like Dark purple stem colour (IC 523231), cylindrical pod shape (IC 468590), mottled, specked seeds (IC 468584) and Elongate seed shape (IC 523168). The traits like early plant vigour, branching pattern, base flower colour, stem colour, streak pattern of base petal, pod colour, seed characteristics exhibited lot of variation and the results of characterization of genotypes for morphological traits are presented in Table 7. Similar findings for plant vigor and plant growth habit were observed by
Muniswamy et al., (2014) and
Kumar et al., (2016). Hariprasad (2018) found similar results for branching pattern and stem colour.
Kallihal et al., (2016) observed similar morphology in case of streaks pattern on base petal, pod shape and pod colour. Similar findings for seed colour pattern, base seed colour were found by
Muniswamy et al., (2014).