Effect on nodule parameters
Foliar application of macro and micro nutrients significantly enhanced the nodule parameters compared to T
1 (RDF) (Table 2). Significantly lower number of total nodules, effective nodules and fresh nodule weight observed in T
1 might be due to the death and decay of bacteroid in nodules. The result is in consonance with the observations of
Das and Jana (2015) who observed that active nodulation in pulses stopped at 45-50 DAS due to the decay and disintegration of nodules. It was also observed from the results that higher number of nodules, effective nodules and nodule fresh weight were recorded in the treatments involving the foliar application of 19:19:19 compared to treatments receiving the foliar spray of KNO
3. It might be due to the role of P in nodule formation as an energy source and its favorable effect on root development, photosynthesis and transport of photosynthates from roots to leaves. Role of P in stimulating the formation of nodules and nodule growth was reported by
Miao et al., (2007). Higher number of nodules, effective nodules and nodule fresh weight were observed in the treatments T
2, T
4, T
5 and T
6. This might be due to better root development and transport of photosynthates from leaves to roots owing to the favourable influence of foliar application of 19:19:19, Zn and B in nodulation in leguminous plants. Deficiency of B caused significant reduction in nodule number (Zehirov and Georgiev, 2003). Similar to that of B, Zn had a prominent role in cell division, expansion of cell and formation of cell wall (
Balyan and Singh, 1994) and transport of sucrose from leaves to root nodules (
Udvardi and Poole, 2013) and is actively involved in the biosynthesis of leghaemoglobin
(Das et al., 2012). Singh and Bhatt (2013) reported an increase in nodule number and weight due to foliar
nutrition of Zn in lentil.
Yashona et al., (2018) observed a positive response in nodulation in chickpea, cluster bean, mung bean, soybean and pigeon pea due to foliar application of Zn. Increase in the number of effective nodules and nodule weight due to foliar application of Zn and B was reported by
Meena et al., (2017). Bhavya et al., (2020) observed that higher number of nodules per plant in green gram was recorded in foliar application of 19:19:19 at 30 and 45 DAS. The variations in total number, effective nodules and nodule weight were observed among the treatments (T
2 to T
13) might be due to the variations in the physicochemical properties of the soil, nutrient availability and also the variation in the root spread and development.
Zahran (1999) revealed that soil and environmental factors significantly influenced the nodulation and infectivity rate of rhizobia.
Nutrient uptake
Compared to RDF alone, RDF + foliar nutrition resulted in higher nutrient uptake by crop (Table 3). Results are in line with the findings of Krishna and Kaleeswari (2018) who observed that foliar application of macro and micro nutrients enhanced the NPK uptake by crop.
Frizts (1978) opined that repeated application of small units of foliar macro and micro nutrients stimulated the plant metabolism leading to higher uptake of nutrients
via roots. Nutrient uptake by a crop is the function of nutrient content and dry matter production. The increased availability of nutrients due to foliar application might have positively influenced the physiological processes leading to higher DMP
(Tabassum et al., 2013). RDF + foliar application of 19:19:19 (0.5%) + solubor (0.025 %) resulted in higher uptake of N:P:K. Results are in consonance with the findings of
Mahdule and Sale (2018) who found that foliar application of B resulted in higher N and K uptake. Adequate availability of B enhances K uptake
(Thakur et al., 2019). A synergistic effect of B on K uptake was reported by
Pathak (2012).
Gangwar and Dubey (2012) observed an increase in K uptake due to foliar application of B in groundnut. Treatment plots receiving foliar application of Zn showed lower uptake of P. This might be due to the antagonistic effect of P and Zn (
Singh and Bhatt, 2013).
Uptake of Zn and B was also significantly affected by foliar nutrition (Table 3). It was observed from the results that B uptake was found to be higher in the treatments receiving KNO3 due to the synergistic effect of K and B. The highest uptake of B was recorded in T
11. Better availability of B and positive interaction with K resulted in higher uptake of B in T
11.
Rehman et al., (2014) revealed that B application significantly improved the B content in leaves and stem of rice plant.
Yadav et al., (2018) reported that foliar application of B 0.3 per cent significantly enhanced the B content of tomato fruits. Significantly higher uptake of Zn noticed in T
9 might be due to higher Zn content registered in the treatment. Higher availability of Zn in the soil might also have contributed to higher Zn uptake.
Effect on yield
Compared to RDF alone (T
1), RDF + foliar application of macro and micro nutrients had significant effect on pods per plant and green pod yield (Table 4). Treatment T
5 recorded the highest number of pods per plant and it was statistically on par with T
2, T
6 and T
11. Green pod yield per hectare also followed the same trend. A yield enhancement of 55 percentage was observed in T
5 over T
1. Higher pod yield observed in these treatments was due to the production of greater number of pods per plant. The lowest number of pods per plant and green pod yield was recorded in treatment T
1. The highest number of pods per plant in T
5 resulted in higher green pod yield in T
5.
Premsekhar and Rajashree (2009) reported that foliar application of 19:19:19 significantly enhanced the number of fruits in tomato. Higher number of pods per plant and green pod yield observed in T
5 and T
11 might also be due to the favorable influence of B in enhancing the fruit setting percentage by promoting the germination of pollen and elongation of pollen tube
(Narayanamma et al., 2009). It might also be due to the role of B in carbohydrate metabolism
(Haque et al., 2011) and consequent enhancement in the supply of carbohydrate for flower formation and fruit set
(Desouky et al., 2009) and decrease in flower drop (
Smit and Combrink, 2005). The results obtained are in consonance with the observations of
Bharati et al., (2018) who reported that foliar nutrition of B significantly improved the number of fruits per plant in bitter gourd and tomato respectively.
Effect on quality
Crude protein content of the pod was significantly influenced by foliar application of macro and micro nutrients (Table 4). The highest protein content was recorded in T
7 (33.5%) and it was on par with treatments T
2 and T
5. Higher N content of the pod as evident from the data on N uptake by pod (Table 2) might have accelerated the synthesis of proteins.
Yadav et al., (2014) also showed an increase in protein content of curd in cauliflower due to foliar application of N. The biosynthesis of enzymes nitrate reductase and glutamine synthase that are responsible for the integration of N into amino acid during protein synthesis was stimulated under higher availability of N
(Cai et al., 2008). Higher protein content in T
7 was also attributed to the role of B and Zn in the synthesis of protein and translocation of assimilates. Plants require boron for the synthesis of amino acids (
Dyar and Webb, 1961).
Gowthami et al., (2018) reported that foliar application of B enhanced the protein content in soybean.
Suman (2018) revealed that foliar application of Zn and B enhanced the N metabolism leading to increase in the protein content of rice grain. Zinc plays a major role in the translocation of starch from source to sink and N metabolism. Hence, adequate availability of Zn improved the quality of seed (
Taliee and Sayadian, 2000).
Shruthi et al., (2013) revealed that foliar application of water-soluble fertilizers enhanced the protein content of pod. Treatments which received 19:19:19 registered higher protein content than those received KNO
3. It might be attributed to the fact that P is highly essential for the synthesis of proteins. Phosphorus was required for two processes of protein synthesis
i.e., activation of amino acid and termination of carbon in m-RNA of polypeptide releasing factors (
Krishna and Kaleeswari, 2018). Better availability of metabolites for protein synthesis improved the translocation of nutrients from source to sink which ultimately increased the protein content. Hence, higher the availability of P and N greater is the protein content of pods. The lowest protein content was recorded in T
13 and it was on par with treatments T
1, T
9, T
11, T
10 and T
12.