The Journal of Research ANGRAU

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A STUDY ON THE KNOWLEDGE LEVEL OF FARMERS ON TEA CULTIVATION hexaconazole, incidence of mites population due to indiscriminate sprayings and symptoms of blister blight disease. Less than 50 per cent of the respondents had knowledge on minimum number of clones required in an area, the clone to seed ratio that should be maintained, symptoms of boron and potassium deficiency in plants, control of diseases such as black rot, recommended depth of pits for planting, various types of bio fertilizers and Zinc sulphate concentration for foliar application. Surprisingly, none of the respondents had knowledge on the percentage of total area that one single clone variety should occupy in a given area of field. The items which demand high technical knowledge or advices from experts such as knowledge on nutrient deficiency symptoms, clone to seed ratio, chemical for black rot control were not answered by more than 80 per cent of the respondents and 100 per cent of them had no knowledge on the percentage of area that a single clone variety should occupy. Unfortunately, these are the yield determining factors in tea cultivation and non adoption of which leads to low yields. REFERENCES Anonymous. 2010. Smarika: Tea and Coffee. National Tea and Coffee Development Board. New Baneshwor, Kathmandu. Thapa, Ajit N. S. 2005. Concept paper on study of Nepalese tea industry- Vision 2020. Nepal Tree Crop Global Development Alliance (NTCGDA), Winrock International, Baneshwor, Kathmandu, Nepal. Verma Pramod, Sonalika Gupta and D. K. Sharma. 2010. Economic analysis of Himachal tea industry- A study of co-operative factories and tea planters. Journal of Plantation Crops. 38(3):194-200. 128
Research Notes J.Res. ANGRAU 41(1) 124-126, 2013 AN ECONOMIC ANALYSIS OF VALUE ADDITION TO COTTON E. RADHIKA, R. VIJAYA KUMARI and D.V. SUBBA RAO Department of Agricultural Economics, College of Agriculture ANGR Agricultural University, Rajendranagar, Hyderabad – 500 030 Date of Receipt : 15.06.2012 Date of Acceptance : 18.12.2012 The processing of cotton is a business which is undertaken for the purpose of value addition to the produce. The value addition to cotton takes place at three main stages of processing viz., ginning, spinning and weaving. The ginning of cotton is important for value addition to the produce, as the spinning mills accept cotton only after ginning. Indian ginning industry is very large in size and is spread over a large area in cotton growing states. An attempt was made to study the cost and returns, value addition in case of cotton ginning and spinning industries and also the benefit cost analysis, which gives an intensified idea about the profitability condition the unit. The study was undertaken in Adilabad and Guntur districts of Andhra Pradesh. The study is based on primary data (for the year 2010-2011) collected from ginning and spinning units. A multistage random sampling technique was employed for the selection of sample units. 20 ginning units and 5 spinning units were selected for the study. The data collected was subjected to analysis through tabular analysis. On an average, the total cost incurred in the processing of kapas to lint worked out to Rs. 4630.87 per quintal of kapas. It is worth noting that the total variable cost (Rs. 4545.75 per quintal) formed a substantial component (98.2%) of the total cost of processing of kapas to lint. The total fixed cost being Rs. 85.12 per quintal, accounted for only 1.8 per cent of the total cost of processing. In the total fixed cost (Rs. 85.12), salaries to permanent staff (Rs. 33.56) found to be the major component and accounted for 0.72 per cent of total processing cost followed by interest on fixed capital, insurance and depreciation on building and machinery, which accounted for 0.43 per cent, 0.34 per cent and 0.2 per cent of the total fixed cost respectively. Licence fee and taxes together accounted for 0.12 per cent of the total cost of processing of kapas to lint. Of the total variable costs, the cost of raw material (Rs. 4238 / quintal) accounted for 91.51 per cent of the total processing cost, followed by interest on working capital (Rs. 216.75 / quintal) accounting for 4.68 per cent, electricity charges (Rs. 49.97 / quintal) accounting for 1.08 per cent and wages to casual labour (Rs. 22.3 / quintal) for 0.48 per cent. The repair and maintenance (Rs. 15.91 / quintal) and telephone charges (Rs. 2.82 / quintal) altogether accounted for 0.45 per cent of the total cost incurred in the processing of kapas. These results are in line with the results of Mundinamani (2000) and Dodamani (2007). Table 1. Returns from processing of kapas to lint (for one quintal of kapas ginned) S.No email: etttediredhikareddy@gmail.com Particulars 129 Amount (Rs) 1 Returns from main product(lint) 3978.81 2 Returns from by-product (seed ) 991.6 3 Gross returns 4970.41 4 Raw material cost (kapas) 4238 5 Value addition 732.41 6 Processing cost 392.87 7 Net value addition 339.54 8 Benefit-cost ratio 1.86
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CONTENTS PART I : PLANT SCIENCE Eff
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J.Res. ANGRAU 41(1) 1-4, 2013 EFFEC
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EFFECT OF FOLIAR APPLICATION OF NPK
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J.Res. ANGRAU 41(1) 5-13, 2013 NUTR
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NUTRIENT UPTAKE BY RICE CROP UNDER
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LAKSHMI et al Fig 1. Changes in C/N
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LAKSHMI et al Changes in C/N ratio
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LAKSHMI et al Table 3. Changes in h
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J.Res. ANGRAU 41(1) 20-29, 2013 INF
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PRASAD and PRASADINI of bulk densit
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PRASAD and PRASADINI to as high as
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PRASAD and PRASADINI Table 4 . Infl
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PRASAD and PRASADINI Table 8. Influ
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J.Res. ANGRAU 41(1) 30-38, 2013 GEN
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VEMANNA et al The range in mean val
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VEMANNA et al grain yield per plant
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VEMANNA et al 41
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VEMANNA et al Singh, S. P and Khan,
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RAMANA et al RESULTS AND DISCUSSION
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J.Res. ANGRAU 41(1) 42-46, 2013 A S
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RAJANNA et. al. Table 2. Reasons fo
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RAJANNA et al the present findings
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NARASIMHA et al Table 1. Proximate
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NARASIMHA et al Maynard, L., Lossli
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RAMANA et al with small follicles m
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RAMANA et al Characteristics of fol
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Research Notes J.Res. ANGRAU 41(1)
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KIRTHY et al Akhtar et al., 2008; S
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KIRTHY et al El Gharras H. 2009. Po
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SANDYARANI et al Weed parameters li
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SANDYARANI et al Table 2. Influence
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KUMAR et al Table 2. Effect of seed
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Page 85 and 86: LOKESH et al Table 1. Clustering pa
Page 87 and 88: LOKESH et al Table 4. Mean values o
Page 89 and 90: ABIRAMI et al Socio-economic Impact
Page 91 and 92: ABIRAMI et al socio-economic impact
Page 95 and 96: VEMANNA et al Table 1. Discriminant
Page 97 and 98: VEMANNA et al total biomass, fresh
Page 99 and 100: RAO et al Table 1. Plant height, nu
Page 103 and 104: DEVI et al S.No Category Frequency
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Page 107 and 108: NIRMALA and VASANTHA earliness in a
Page 109 and 110: NIRMALA and VASANTHA adopted this t
Page 111 and 112: SUDHARANI et al Table 1. Genotypic
Page 113 and 114: SUDHARANI et al At genotypic level,
Page 115 and 116: NIRMALA et al weight of pods per pl
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Page 123 and 124: PUNYAVATHI and VIJAYALAKSHMI 6.5 6.
Page 125 and 126: PUNYAVATHI and VIJAYALAKSHMI REFERE
Page 127: KATTEL et al Table 1. Item Analysis
Page 131 and 132: RADHIKA et al Thus, the results of
Page 133 and 134: RAJU et al estimated daily dietary
Page 135 and 136: RAJU et al Table 3. Physico-chemica
Page 139 and 140: MINNIE et al Table 2. Estimates of
Page 141 and 142: Statement about ownership and other
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