Effect on growth characters
Growth characters of blackgram were significantly influenced by
Methylobacterium, PGRs and nutrients (Table 1). RDF of 100% along with foliar application of 2% PPFM increased the plant height of 40.8 and 41.9 cm at harvest stage during
kharif and
rabi, respectively and it was followed by foliar spraying of SA @ 100 ppm. Spraying of
methylobacterium stimulated the growth and plant height by increasing the auxin and cytokinin content in blackgram.
Significantly higher number of branches plant
-1 was found with the application of 100% RDF + 2% PPFM followed by 100% RDF + 100 ppm SA. This helped to increase the cell division activity, cell expansion and elongation, ultimately leading to more number of branches plant
-1. The influence of SA and BRs on the endogenous levels of hormones enhanced the photosynthesis and nitrate assimilation
(Senthil et al., 2003).
The increase in DMP was significantly more with 100% RDF + foliar application of 2% PPFM and SA (100 ppm) during
kharif and
rabi. This might be possible due to the increased availability of nitrogen due to the presence of nitrogen fixing facultative methylotrophs
(Jeyakumar et al., 2008). Also, the biosynthesis of the plant growth promoting substances like cytokinins, indole acetic acid (IAA), gibberellic acid (GA), vitamins and antibiotic substances by the PPFM microbial inoculants acted in synergy to it. Foliar application of salicylic acid and brassinolides could partially alleviate the detrimental effect of moisture stress on the growth of soybean by improving the antioxidant system and promoting dry matter accumulation
(Zhang et al., 2008).
LAI is an important indicator of total photosynthetic surface area available to the plant for the production of photosynthates, which accumulate in the developing sink. Higher LAI was recorded under 100% RDF + 2% PPFM (4.81, 5.98 during
kharif and
rabi), which was followed by 100 % RDF + 100 ppm SA (Table 1). Growth regulators played an important role in increasing the number of leaves, leaf elongation and chlorophyll content and thus led to increase in LAI. The overall improvement in the growth of blackgram with the addition of PPFM and PGRs could be ascribed to their pivotal role in several physiological and biochemical processes,
viz., root development, photosynthesis, energy transfer reaction and symbiotic biological N fixation process (Subramanian and Solaimalai, 2000).
Yield attributes and yield
A perusal of data (Table 2) revealed that yield attributes and the yield increased significantly with the foliar application of PPFM, PGRs and nutrients in blackgram over control.
Foliar application of 2% PPFM along with 100% RDF significantly increased the number of pods plant
-1 (36.5 and 37.7), number of seeds pod
-1 (34.1 and 35.2), pod weight (15.82 and 16.14 g) and pod height (5.95 and 6.02 cm) during
kharif and
rabi season, respectively. This was followed by 100% RDF + 100 ppm SA (Table 2). This was due to the enhanced root and shoot development, solar radiation interception and nutrients uptake. Further, the translocation and accumulation of photosynthates in the economic sinks resulted in increased yield attributes and biological yield of blackgram.
Grain yield (992 and 1051 kg ha
-1) and straw yield (1924 and 2096 kg ha
-1) during
kharif and
rabi season, respectively were significantly higher with application of 100% RDF + 2% PPFM and 100% RDF + 100 ppm SA. In addition to that, the effect of 1% PPFM was on par with 2 ppm BRs (Table 3). The least grain and straw yield was observed in control plot. This might be due to increased yield attributes
viz., number of pods plant
-1, number of seeds pod
-1, pod weight (g) and pod height (cm). As observed in the present investigation, salicylic acid and brassinolide play a favourable role in improving various metabolic activities through enhanced nucleic acid metabolism and protein synthesis (
Vardhini and Rao, 1998).
PPFM and PGRs enhanced the early root growth and cell multiplication, leading to more absorption of other nutrients from deeper layers of soil. This ultimately resulted in increased plant growth attributes and finally increased the crop yield. The increased yield attributes and yield might be due to the increased supply of the major nutrients by translocation of photosynthates, accumulated under the influence of organic and inorganic sources of nutrients. Increased yield attributes and yield by various workers have been reported at different places
(Balachandar et al., 2003; Rathore et al., 2010).
Economics
Higher crop productivity with lesser cost of cultivation could result in better economic parameters like gross return, net returns and B: C ratio (Table 4). Significantly higher gross returns (Rs. 51074 ha
-1 and Rs. 52191 ha
-1) and net return (Rs. 35016 ha
-1 and Rs. 36133 ha
-1) were recorded with 100% RDF along with foliar application of 2% PPFM during
kharif and
rabi season, respectively. However, this was followed by 100% RDF along with foliar application of SA @ 100 ppm. Higher B:C ratio (2.98 and 3.04) was observed with the application of 100% RDF + 2% PPFM and 100% RDF + 100 ppm SA, noticing 2.92 and 2.95 of B:C ratio during
kharif and
rabi, respectively. The increased net return could be explained on the basis of increased yield under the influence of PPFM and PGRs in the present investigation. The significant increase in net return and benefit cost ratio was due to the foliar application of
Methylobacterium with PGRs
(Kumawat et al., 2013).
Correlation and regression analysis
The correlation results (Table 5) showed that all the variables included in the model were positively significant at 1% level of significance and these signs emphasize all the variables would attribute to the grain yield of the blackgram. The correlation coefficients of the grain yield with the plant height (0.83), number of branches plant
-1(0.78), number of pods plant
-1(0.86), leaf area index (0.68), number of seeds pod
-1 (0.87), pod weight (0.78) and pod length (0.76) show that all the attributes were positively related and that ironicallyproves when there is an increment in these variables, there would be a hike in the yield of the blackgram. All these variables are included as the independent variables in the multiple linear regression model
(Xiaolu et al., 2019). The multiple linear regression was estimated to measure the relationship and the change in magnitude of the grain yield due to the other prescribed parameters (Table 6). The multiple linear regression equation could be written as,
Grain yield = -822. + 1.34* Plant height + 5.97* no. of branches plant
-1 + 1.24*LAI + 2.24*no. of pods plant
-1 + 1.91* no. of seeds pod
-1 + 0.42* pod weight + 0.16* pod length
The R
2 (0.97) depicts a good sign of model fit which implies that 97% of the grain yield was caused by the independent variables. All the variables except plant height were found statistically significant (Table 6). The slope coefficient of the number of branches has shown that when there is one percent increase in branches, there would be a significant increase in the grain yield by 1.67%, other variables being held constant. Likewise, when there is a 1% increase in the variables
viz., leaf area index, number of pods plant
-1, number of seeds pod
-1, pod weight and pod length, there would an increase in the yield by 0.24, 1.24, 1.91, 0.12 and 0.06%, respectively.