Effect of nutrient management on green and dry fodder yield
The study indicated (Fig 1) that green and dry fodder yield of pearl millet were significantly influenced by different nutrient management practices. Significantly higher green fodder (548.33 q/ha) and dry fodder yield (113.35 q/ha) at harvest recorded with T
5 treatment (100% RDF+PGPR+ Cow urine foliar spray), which, was found statistically at par with T
4 treatment (100% RDF+PGPR) and both were significantly higher than the other treatments. Balanced and regular supply of essential plant nutrients increases plant physiological processes mainly photosynthetic process which produce organic compounds that are translocated and assimilated in different parts of plant and this produces higher number of basal nodes leading to increase tillers per plant; increase in length, diameter and number of internodes; leaf length and width; more number of internodes leads to increase number of leaves/plants, all these growth parameters contribute to the final green fodder yield. Dry fodder yield increases due to higher accumulation of photosynthates in plant that contribute to increase dry matter content. Similar result also was reported by
Chattha et al., (2017).
Effect of nutrient management on proximate principles
Quality parameters of fodder pearl millet was significantly influenced by different nutrient management practices. Results presented in Table 1 indicates that significantly higher dry matter (20.67%), total ash (12.83%), crude protein (9.78%), ether extract (2.44%), hemicellulose (24.49%) and cell soluble (36.01%) on dry matter basis were observed with the application of 100% RDF+PGPR+CU. However, it remained at par with 100% RDF+PGPR and both these treatments were found significantly higher over rest of the treatments. The treatment of 100% RDF+PGPR+CU improved CP content by 3.27, 6.65, 8.78 and 21.33%; ether extract by 0.826, 6.70, 8.12 and 24.06%; total ash content by 1.63, 8.74, 9.84 and 31.17% over 100% RDF+PGPR, 100% RDF+CU, 100% RDF and absolute control, respectively.
PGPR produce phytohormones
(Enebak and Carey, 2000), cow urine supply enzyme and hormones
(Saunders, 1982) that attributed to stimulate plant growth. Optimum supply of nutrients as well as production of growth promoting components attributed to increase leaf area index per unit area that is responsible for higher interception of solar radiation and produce more photosynthates and nutrients acquired, resulted in to increase dry matter content. Similar results also have been reported by
Chattha et al., (2017). Further, nitrogen accumulation in plant increase carbohydrates metabolism and subsequently, increase total ash content and decrease organic matter and total carbohydrates content in plant
(Iqbal et al., 2017). The highest CP content with 100% RDF+PGPR+CU, might be due to ideal availability, uptake and utilization of nitrogen. Nitrogen is integral part of amino acid that contributes in amino acid synthesis and amino acids are building block of protein. The protein content increase with increase nitrogen levels has been reported by
Kushwaha et al., (2018). The higher availability of nitrogen with application of recommended dose of nitrogen; PGPR additionally supplement atmospheric nitrogen through biological nitrogen fixation and cow urine foliar spray supplied nitrogen to plant foliage for quick recovery of nitrogen deficiency
(Sadhukhan et al., 2018). The ether extract contains dissolved fats, oils, fat-soluble substance and pigments that was recorded highest with 100% RDF+PGPR+CU, due to optimum availability of nitrogen and phosphorus
(Kushwaha et al., 2018) through recommended dose of fertilizer application along with PGPR inoculation and cow urine foliar spray. Cow urine contains hormones and enzymes
(Kishore et al., 2015), PGPR produce Phyto-hormones IAA
(Kumar et al., 2014) that increase physiological process of plant that could have resulted in increase of ether extract.
Effect of nutrient management on yield of proximate principles
The analysis of experimental data (Fig 2) shows that likewise, quality parameters the yields of these parameters significantly influenced by nutrient management practices. The fodder pearl millet received 100% RDF+PGPR+CU attributed maximum yields of CP (11.09 q/ha), EE (2.77 q/ha) and total ash (14.55 q/ha). However, remained at par with the treatment that received 100% RDF+PGPR and both were found significantly higher over rest of the treatments. Better quality and yields of quality parameters in fodder pearl millet was also reported by
Chattha et al., (2017) and
Yolcu et al., (2011).
Effect of nutrient management on fibre fraction
The chemical analysis of fodder pearl millet showed that fibre fractions was significantly influenced with different nutrient management practices (Table 2) and found decreasing trend of these parameters with increased fertility levels. Significantly lowest organic matter (87.17%), neutral detergent fibre (63.99%), acid detergent fibre (39.50%), acid detergent lignin (5.60%), organic matter (87.17%), cellulose (33.39%) and total carbohydrate contents (74.94%) was observed with the application of 100% RDF+PGPR+CU. However, it remained at par with the treatment that received 100% RDF+PGPR and both were found significantly lower over rest of the treatments. Fibre fraction
viz., neutral detergent fibre (NDF), acid detergent fibre (ADF) and acid detergent lignin (ADL) content recorded lowest with 100% RDF+PGPR+CU followed by 100% RDF+PGPR treatments, due to higher nitrogen level in plant tissue that increase metabolism of carbohydrates leads to decrease cell wall constituents/carbohydrates
(Iqbal et al., 2017). Less fibre fraction attributed to increase cell soluble contents in plant. These results are in line reported by
Kushwaha et al., (2018).
Correlation studies
The results showed on correction (Table 3) indicates that the DFY (r = 0.978), DM (r = 0.903), CP (r = 0.861), EE (r = 0.908), TA (r = 0.898) and CS (r = 0.904) content were highly positively correlated with the yield of green fodder. Green fodder yield was highly negatively correlated with the contents of NDF (r = -0.904), ADF (r = -0.926) and ADL (r= -0.898). Quality parameter like DM, CP, EE, TA, CS increase with increase in green fodder yield. However, fibre fractions like NDF, ADF and ADL are inversely correlated with green fodder yield. Correlation matrix also indicates that DM, CP, EE, TA, and CS were inversely correlated with fibre fractions. Similar results also reported by
Bhakar et al., (2020).