Particle Ratios From Strongly Interacting Hadronic Matter

We calculate the particle ratios for a strongly interacting hadronic matter matter using non-linear Walecka model (NLWM) in relativistic mean-field approximation. A comparison with Hadron Resonance Gas Model is made.Comment: 18 pages, 23 figure

ACC-deaminase and/or nitrogen-fixing rhizobacteria and growth response of tomato (Lycopersicon pimpinellfolium Mill.)

The study aimed to identify and select important plant growth-promoting rhizobacteria (PGPR) and examine the response of tomato growth upon inoculation. Inoculation with rhizobacterial isolates increased all the measured physical, chemical, and enzymatic growth parameters compared to control. However, the TAN1 isolate had the highest effect, and significantly (P < 0.05) increased the root length (8.25-fold), root fresh (8.36-fold) and dry (12.6-fold) weight, shoot length (6.92-fold), shoot fresh (7.18-fold) and dry (6.90-fold) weight, number of leaves (11.0-fold), chlorophyll a (6.25-fold), chlorophyll b (10.7-fold), carotenoid contents (8.80-fold), seedlings fresh (9.0-fold) and dry (8.71-fold) weight, plant macronutrient uptake, i.e. N (7.7- and 8.9-fold), P (10.5- and 11.4-fold), K (7.8- and 8.8-fold), Ca (12.7- and 8.2-fold), and Mg (12.6- and 9-fold) in shoot and root, plant micronutrient uptake, i.e. Zn (6.6-, 10.2-), Cu (9.3-, and 10.3-fold), Fe (7.7- and 10.7-fold), and Mn (4.7- and 5.7-fold) in shoot and root and plant antioxidant enzymes, i.e. glutathione S-transferase (10.7-fold), peroxidase (8.1-fold), and catalase (10.5-fold). Our results concluded that inoculation of agricultural crops with rhizobacteria is a very useful approach to increase the plant growth. The rhizobacteria having both 1-aminocyclopropane-1-carboxylate (ACC) deaminase and nitrogen-fixing activity are more effective than rhizobacteria possessing either ACC-deaminase or nitrogen-fixing activity alone for growth promotion of crops

Efficiency of Working Capital Management using Y-Score Model: An Evidence of BSE SENSEX.

Due to supply chain interruptions, the COVID-19 pandemic posed substantial issues in managing working capital. The current study looks at the effectiveness of working capital management among non-financial firms listed in the BSE SENSEX from the 2010-11 to 2019-20. The Y-Score model and its various constituents were used to analyse the efficiency of working capital management. In addition, various regression models have been developed for the desired level of efficiency. The overall Y-Score model depicts that the firms listed in the BSE SENSEX perform well in managing working capital during the study period. Furthermore, the Sun Pharmaceutical Inds Ltd was the only successful firm followed by Nestle India Ltd, Reliance Industries Ltd to achieve the target level of efficiency. The study suggests that companies listed in BSE SENSEX should improve their sales faster than tangible assets and also firms should improve their cash flows

The Effect of Different Irrigation Regimes on the Yield of Fodder Maize (Zea Mays)

A field study was carried out during 2013 season to investigate the effect of different irrigation intervals on fodder maize yield. Randomized complete block design (RCBD) was used, with three replicates. . Four irrigation regimes were executed T1=3 irrigations (1st 20 Day After Sowing (DAS), 2nd 35 DAS and 3rd 50 DAS), T2=3 irrigations (1st 20 DAS, 2nd 40 DAS and 3rd 60 DAS), T3=3 irrigations (1st 25 DAS, 2nd 40 DAS and 3rd 55 DAS), and T4=3 irrigations (1st 30 DAS, 2nd 45 DAS and 3rd 60 DAS). The results indicated that fodder maize yield varied significantly (P&lt;0.05) under different irrigation regimes. The treatment T1 resulted the best, plant height (185.33 cm), number of green leaves (13.42), stem width (4.46 cm), and fodder yield (30580 kg.ha-1) While T2 resulted in the best Seed germination (86.91%). Finally, T1 irrigation regime was most effective to produce higher fodder yield in maize and the farmers may adopt this treatment to get high fodder production from maize. Keywords: Fodder maize, Yield, Irrigation regime