Morpho-physiological and yield properties
Plant height increase of all the varieties followed a similar trend up to 75 DAS (Fig 2). But a variation was seen between 90 DAS to harvest. Though at harvest the plant height remained statistically similar among the varieties but at 90 DAS, longest height was observed with BARI Masur-8 (V
7) and the shortest was noted in BARI Masur-5 (V
5). Deviation in plant height might be due to genetic attributes and soil fertility status.
Khatun et al., (2016) reported variations in plant height in different BINA and BARI lentil varieties.
In case number of branches (primary) per plant, all the seven varieties exhibited a rising trend up to 75 DAS except BARI Masur-8 (V
7) (Fig 3). After 75 DAS the number of branches gradually declined. Whereas, except for BARI Masur-5 (V
5) and BARI Masur-6 (V
6) rest five varieties showed an upward tendency in secondary number of branches per plant up to harvest (Fig 4). In order to build vegetative structure, plants developed branches but when it commenced reproductive growth cessation in some parts occurred and the primary branches might have been converted in secondary branches thus a reduction was noticed; which gave rise number of secondary branches with elapse to time.
Zahan et al., (2009) observed varietal differences in branch number in BARI varieties.
Initially up to 75 DAS TDM demonstrated a slow increase (Fig 5). From 75 DAS to 90 DAS the rise was very slow. But from 90 DAS to harvest TDM boosted rapidly. Though significant differences were noted among the varieties in dry mass accumulation up to 75 DAS but at harvest it was non-significant.
Shrestha et al., (2005) reported an increase in the amount of dry matter accumulation with elapse of time (with increasing DAS) on lentil genotypes.
AGR followed a divergent trend in the lentil varieties (Fig 6). Varieties Binamasur-8 (V
2) and Binamasur-10 (V
4) showed downward trend in AGR at 45 DAS to 60 DAS but other five varieties showed upward trend. Though at 60 DAS to 75 DAS a rise in AGR of all the varieties were noticed but it again declined at 75 DAS to 90 DAS. During final harvest all varieties showed increased and similar AGR. Dissimilarities in AGR among the varieties might be ascribed to varied physiological factors among the varieties. Greater growth rates during the vegetative and blooming stages are preferred for improved grain production in lentil. Yield properties are reflected by the crop’s capacity to capture solar energy early on and then use it for biomass production later on
(Hanlan et al., 2006). Similar findings were also narrated by
Mondal et al., (2013).
RGR ensued a zigzag pattern in the lentil varieties excluding Binamasur-9 (V
3) (Fig 7); which appeared a straight decline up to 75 DAS to 90 DAS. During harvest highest RGR was obtained from Binamasur-8 (V
2) and the lowest was found with BARI Masur-5 (V
5).
Khanam et al., (2018) spotted similar patterns in RGR among four lentil genotypes in Magura district at
rabi season.
Preliminary rise in CGR was extremely slow up to 60 DAS to 75 DAS; but after that RGR dropped remarkably at 75 DAS to 90 DAS (Fig 8). Afterward all the seven varieties displayed a mounting at 90 DAS to harvest. At this time utmost CGR was shown by Binamasur-9 (V
3) and the least with BARI Masur-8 (V7). Maximum utilization of environmental resources aided lentil varieties to peak CGR at the reproductive phase. During harvest CGR was supposed to decline but the varieties might still be accumulating dry mass thus CGR did not drop.
Singh et al., (2016) noticed a downward trend of CGR in lentil treated with phosphorus and biofertilizers.
Khan et al., (2015) reported similar results in soyabean genotypes.
Amongst the varieties abundant plant population in the unit plots (4.5 m
2) was noticed with BARI Masur-6 (V6); whereas Binamasur-5 (V
1) had the scarce number of plants. Reason of heterogenous number of plants was due to insect pest and disease infestation (Table 1). Tolerant varieties showed satisfactory plant population over susceptible varieties.
Adhikari et al., (2018) narrated deviations in plant population among the lentil genotypes.
Number of pods per plant and seeds per pod was most in Binamasur-5 (V
1) and Binamasur-10 (V
4) (Table 1). Contrary the least pods and seed per plant was recorded with BARI Masur-6 (V
6). Dissimilarities in number of pods and seeds per plant might be due to genetic variability among the varieties.
Ouji et al., (2021) found the existence of significant genetic variability among the lentil lines.
Heaviest TGW was noticed in Binamasur-9 (V
3) conversely, lightest was noted with BARI Masur-6 (V6) (Table 1). Disparities in TGW was may be due to seed size, shape and boldness. Varied TGW due to genotypes were previously annotated by
Yadav et al., (2016).
In terms of maturity, BARI Masur-5 (V
5) matured most late while earliest days to maturity was marked in Binamasur-8 (V
2) (Fig 9). Duration of a variety is mostly genetic character but it may also be influenced by environmental factors.
Sarkar et al., (2021) stated that, cultivation in medium low land may delay lentil maturity.
Yield
Highest seed yield and HI was obtained from Binamasur-10 (V
4) (Table 1, Fig 9). However, the lowest seed yield was gained with BARI Masur-6 (V
6) but least HI was produced by BARI Masur-5 (V
5). Stover yield was maximum in BARI Masur-5 (V
5) and minimum at BARI Masur-5 (V
5). Seed yield was relied on better assimilate partitioning to economic yield, genetic potentiality, insect disease tolerance, better utilization of natural resources, inputs etc. factors. Varieties which build up more vegetative growth yielded less seed, HI and vice versa.
Roy et al., (2019) found maximum yield of Binamasur-10 (LG-208 line) among numerous lentil accessions in Magura grown in winter.
Singh and Sharma (2021) indicated that nutrient uptake significantly improved grain and biomass yield of lentil. Current outcomes are in conformity with the previous findings.
Correlation study among different attributes
Number of pods per plant is the main seed yielding indicator that has a positive relationship with plant height. The pod number showed significant positive correlations with secondary branch number (r = 0.71*), TDM (r = 0.78*), seed yield (r = 0.79*) and HI (r = 0.755*). TGW showed significant positive correlations with plant height (r = 0.88**), primary branch number (r = 0.81*), TDM (r = 0.93**), seed yield (r = 0.90**) and HI (r = 0.75*). The seed yield was also significantly correlated with plant height (r = 0.78*), primary branch number (r = 0.76*), secondary branch number (r = 0.75*), TDM (r = 0.87**) and HI (r = 0.85**). Hence seed yield was strongly correlated with all the yield contributing parameters (Table 2). This suggests that increasing sink (pod number) production would increase seed yield and pod production depending on morpho-physiological characters. These findings are in good agreement with
Kumar et al., (2017).