ACHARYA N.G RANGA AGRICULTURAL UNIVERSITY

More documents

Recommendations

Info

JOB RELATED TENSIONS AMONG SOFTWARE AND NON-SOFTWARE Another finding in the present study was that software professionals with less than one year of experience experienced marginally (statistically insignificant) more work related tensions than experienced urban and rural counterparts. This observation though not significant is in the line of the finding of the study by Roshidi and Jalbani (2009), which revealed that the young software professionals in the age group of 21 and 28 years experienced highest stress as compared to their senior colleagues. The results indicated that professionals from urban background experienced more job related tensions than professionals with rural background. Work and workplace emphasizes many issues related to organizational psychology. Perceived satisfaction on the job is reflected by the needs of sense of fulfillment and expectation for the job to be interesting, challenging and personally satisfying (Smither, 1994).Job satisfaction is also an achievement indicator in career developmental tasks and is associated with the psychological (Limbeat, 2004) and individual well-being (Nassab, 2008). The results of the study that the professionals with urban background experiencing more job related tensions may be attributed to their perceived satisfaction on the job. Professionals with urban and rural background may differ in their expectations from the job and attitude towards work. From the results of the study it can be summarized that (i) area of birth had a significant independent effect upon the job related tension of the subjects (ii) software professionals with less than one year experience belonging to urban area experienced marginally more job related tensions than their non-software professional counterparts (iii) Irrespective of the type of occupation, freshers belonging to urban area experienced more job related tensions than experienced urban and rural professionals. REFERENCES Davey, J., Obst, P and Sheehan, M. 2001. Demographic and workplace characteristics which add to the prediction of stress and job satisfaction within the police workplace. Journal of Police and Criminal Psychology. 16 (1): 29-39. Leka, S., Griffiths, A and Cox, T. 2004. Work organization and stress, Systematic Problem Approaches For Employers, Managers and Trade Union Representatives. retrieved on 5 th June 2011from http://www.who.int/ occupational health Publication/pwh 3rev.pdf. Limbert, C. 2004. Psychological well – Being and Job satisfaction amongst Military Personnel on Unaccompanied Tours: The Impact of Perceived Social Support and Coping Strategies. retrieved on 5 th June 2011 from http://www.who.int/occupational health Publication/pwh 3rev.pdf. Lim, K. G. V and Teo, T. S. 1999. Occupational stress and IT personnel in Singapore: Factorial dimensions and differential effects. International Journal of Information Management. 19: 227-291. Nassab, R. 2008. Factors Influencing Job Satisfaction amongst Plastic Surgical Trainees: Experience from Regional Unit in the United Kingdom. European Journal of Plastic Surgery. 31(2): 55-58. Smither, R.D. 1994. The Psychology of Work and Human Performance. 2 nd Ed. Harper Collins College Publishers. New York. pp – 286. Sunetra Bhattacharya and Jayanti Basu. 2007. Distress, Wellness and Organizational Role Stress among IT Professionals: Role of Life Events and Coping Resources. Journal of the Indian Academy of Applied Psychology. 33 (92): 196-178. Zaki Rashidi and Amanat Ali Jalbani. 2009. Job Stress among Software Professionals in Pakistan: A Factor Analytical Study. Journal of Independent Studies And Research (MSSE). 7(1): 1-12. 45
Reserch Notes J.Res. ANGRAU 40(1)46-48, 2012 INFLUENCE OF BIOFERTILIZERS ON YIELD AND NUTRIENT CONTENT OF SPINACH BEET (Beta vulgaris) REVATHI, K. SUBHASH REDDY, R. SUMATHI, S and MANORAMA, K Department of Agricultural Microbiology and Bioenergy, College of Agriculture, Acharya N.G. Ranga Agricultural University, Rajendranagar, Hyderabad-500030. Date of Receipt : 16.07.2011 Date of Acceptance : 12.11.2011 Since the inception of green revolution technologies in India, the modern agriculture is getting more and more dependent upon the chemical fertilizers. Adverse effects on crops are being noticed due to the excessive and imbalanced use of these synthetic inputs. Hence the present research work was carried out to find out the effect of integrated use of biofertilizers, vermicompost and chemical fertilizers (N, P, and K) on yield and nutrient content of spinach beet. The experiment was conducted in poly bags at College of Agriculture, Rajendranagar, Hyderabad during rabi season (2010-11). Experiment was laid out in completely randomized design with 3 replications and 12 treatments. Variety named ‘All green’ was used in the study. Each poly bag was filled with 8 kg red soil. The recommended fertilizer dose was used for the experiment @ 0.43: 1.25: 0.66 g NPK poly bag -1 , vermicompost (24g poly bag -1 ) and biofertilizers (nitrogen biofertilizer (NBF) - Azotobacter and phosphate solubilizing biofertilizer (PSBF) - Bacillus). Azotobacter and Bacillus cultures were collected from bacterial inoculants laboratory, ARI, Rajendranagar and mixed with farm yard manure (1:10 g poly bag -1 ) and vermicompost (VC) (1:24 g poly bag -1 ). The treatments consisted of T 1 - 100% RDF, T 2 - NBF, T 3 - PSBF, T - NBF + PSBF, T - 50% RDF 4 5 + NBF, T 6 - 50% RDF + PSBF, T 7 - 50% RDF + NBF + PSBF, T 8 – VC, T 9 - VC + NBF, T 10 - VC + PSBF, T 11 - VC +NBF + PSBF, T 12 - VC + 50% RDF. The plants were harvested after 30 days (1 st picking), 45 days (2 nd picking) and 60 days (3 rd picking) after sowing. Mean of Yield, vitamin C and mineral contents were given in table since there is no difference among 30, 45 and 60 DAS. Vitamin C was determined in fresh samples (Ranganna, 1997), calcium and iron contents were determined using Atomic absorption spectro- photometer (AAS) (Singh et al., 1999). The soil collected for experiment was analyzed for microbial population by the standard serial dilution plate count method (Vlassak et al., 1992) before and at the end of the experiment. Application of 50% RDF + NBF + PSBF recorded higher yield at 30, 45 and 60 DAS over all other treatments. The yield was low at 45 and 60 days after sowing compared to 30 days after sowing. The decrease in yield was significant between 1 st and 2 nd picking compared to the 3 rd picking. The better efficiency of biofertilizers in combination with chemical fertilizers in increasing yield might due to the availability of nutrients at an optimum level due to the microbial activity. Similar findings were also reported by Young et al. (2003), 25 per cent increase in lettuce yield with 50 per cent chemical fertilizers with biofertilizers (mixture of Bacillus sp. B. subtilis, B. erythropolis, B. pumilus and Pseudomonas rubiacearum). Vitamin C content showed an increase with 50% RDF + NBF + PSBF (T 7 ) followed by 50% RDF + PSBF (table-1). No significant difference was noted among the three pickings at 30, 45 and 60 days after sowing. Also resulted in vitamin C content in spinach cv. balady by use of 50:50 nitrogen mixtures (chemical fertilizer + biofertilizer) by (Al-Moshileh, 2004). Calcium content was found to be significantly higher with the application of 50% RDF + NBF + PSBF (T 7 ) followed by vermicompost with biofertilizers alone or combined and with 50% RDF (T 9 , T 10 , T 11 or T 12 ). EL-Assiouty and ABO-Sedera, (2005) reported that highest values (1.46%, 1.42% and 1.39%) of calcium content with 300 g fed -1 phosphorein plus 40 kg N fed -1 + 15.0 or 7.5 kg P 2 O 5 fed -1 or 300 g fed -1 Azotobacter inoculum plus 20 kg N + 22.5 kg P 2 O 5 fed -1 respectively in spinach. e-mail: revati.agri09@gmail.com 46
Page 1 and 2: ISSN 0970-0226 ACHARYA N.G. RANGA A
Page 3 and 4: 2 2 2 N The original research and r
Page 5 and 6: Attitude towards pursuing self empl
Page 7 and 8: NIRMALA et al duration and their in
Page 9 and 10: NIRMALA et al Table 4. Effect of di
Page 11 and 12: J.Res. ANGRAU 40(1)6-12, 2012 RESPO
Page 13 and 14: REDDY et al nourishment and consequ
Page 15 and 16: REDDY et al Table 2. Influence of i
Page 17 and 18: REDDY et al REFERENCES Bhatt, S.P.,
Page 19 and 20: PASHA et al irrigations were given
Page 21 and 22: J.Res. ANGRAU 40(1)16-20, 2012 NUTR
Page 23 and 24: RAMULU and RAJ samples of Sarangapu
Page 25 and 26: RAMULU and RAJ Sumner, M. E. 1978.
Page 27 and 28: SATISH et al the crop from uniform
Page 29 and 30: SATISH et al Table 2. Yield and yie
Page 31 and 32: J.Res. ANGRAU 40(1)26-29, 2012 EFFE
Page 33 and 34: BINDIYA et al Table 1. Effect of di
Page 35 and 36: J.Res. ANGRAU 40(1)30-34, 2012 DRY
Page 37 and 38: RANI et al Table 1. Dry matter (g p
Page 39 and 40: RANI et al and 2 August sown crops.
Page 41 and 42: RAO et al Table 1. Details of year
Page 43 and 44: RAO et al S. Profile characteristic
Page 45 and 46: RAO et al 1 2 3 4 5 6 10. Applicati
Page 47 and 48: J.Res. ANGRAU 40(1)42-45, 2012 JOB
Page 49: NEERAJA and SWAROCHISH Table 3. t-r
Page 53 and 54: REVATHI et al Iron content was foun
Page 55 and 56: SOWMYA et al Table 1. Dry matter pr
Page 57 and 58: SOWMYA et al nutrients from soil. S
Page 59 and 60: SWAMY et al coefficient of concorda
Page 61 and 62: SWAMY et al to mitigate labor short
Page 63 and 64: NEELIMA et al Table 1. Analysis of
Page 65 and 66: Reserch Notes J.Res. ANGRAU 40(1)60
Page 67 and 68: RAJU et al Among the yield contribu
Page 69 and 70: RAJU et al Table 2. Mean and GCA ef
Page 71 and 72: RAJU et al S.No. Cross combination
Page 73 and 74: RAJU et al be due to complementary
Page 75 and 76: MOHAN and REDDY Table 1. Distributi
Page 77 and 78: MOHAN and REDDY Table 5. Multiple r
Page 79 and 80: SRAVANI et al Table 1. Mode of inhe
Page 81 and 82: TARIQ et al Table 1. Production ela
Page 85 and 86: LETNGAM et al 1 2 3 4 5 6 23. 10 HR
Page 87 and 88: LETNGAM et al Pervaiz, Z.H., Rabban
Page 89 and 90: RAGHU et al Table 1. Estimates of p
Page 95 and 96: RAGHU et al significant heterobelti
Page 97 and 98: ANITHA et al Table 1. Transient exp
Page 101 and 102:
Reserch Notes J.Res. ANGRAU 40(1)96
Page 103 and 104:
ABSTRACTS Abstracts of Thesis Accep
Page 105 and 106:
ABSTRACTS and analyzed for proximat
Page 107 and 108:
ABSTRACTS Effect of teachers absent
Page 109 and 110:
ABSTRACTS mass and root to shoot ra
Page 111 and 112:
ABSTRACTS Assessing the market pote
Page 113 and 114:
ABSTRACTS as central pool which is
Page 115 and 116:
ABSTRACTS 14. Majority of restauran
Page 117 and 118:
ABSTRACTS ! The kisan credit card h
Page 119 and 120:
ABSTRACTS Management of supply chai
Page 121 and 122:
THE JOURNAL OF RESEARCH ANGRAU DECL
Page 123 and 124:
SUBSCRIPTION ENROLLING FORM I/we, h
Page 125:
Seminars / Symposia / Workshops Nav
show all

ACHARYA N.G RANGA AGRICULTURAL UNIVERSITY

Create successful ePaper yourself

Delete template?

Save as template?