To identify the most efficient growing medium for root and shoot development in stem cuttings of pomegranate cv. ‘Phulearakta’ under arid conditions, a greenhouse experiment was conducted in randomized complete block design with three replications during 2014-15 at ICAR-CIAH, Bikaner. About 15-20 cm long hard wood cuttings, 0.5-1.0 cm diameter and having three to four buds were separated from the healthy trees and planted in mid-January. Detached cuttings were treated with 2500 ppm of IBA (3- Indole butyric acid) using quick dip technique (for 5 seconds) and planted in five rooting substrates i.e.sand, vermiculite, perlite, cocopeat and garden soil (control) alone and in combination at 1:1 (v/v). The response of perlite + vermiculite medium was best in terms of rooting (82.33 per cent), number of roots (32.67 per cutting), fresh and dry weight of roots (0.61 mg and 2.08 mg), shoots per cutting (80.33) and survival (76.0 per cent) than the other medium used. Vermiculite + Coco peat 1:1 (v/v) combination also resulted in rooting in more than 80 per cent of cuttings whereas cuttings raised in garden soil and sand showed very low rooting. Based on the findings, it appears that Perlite + vermiculite 1:1 (v/v) and vermiculite + cocopeat may be appropriate alternatives to the conventially used substrate, i.e., garden soil for the better rooting and establishment of pomegranate cultivar 'PhuleArakta' cuttings.
Experiment to identify ambient grinding conditions and energy consumed was conducted for fenugreek. Fenugreek seeds at three moisture content (5.1%, 11.5% and 17.3%, d.b.) were ground using a micro pulverizer hammer mill with different grinding screen openings (0.5, 1.0 and 1.5 mm) and feed rate (8, 16 and 24 kg h-1) at 3000 rpm. Physical properties of fenugreek seeds were also determined. Specific energy consumptions were found to decrease from 204.67 to 23.09 kJ kg-1 for increasing levels of feed rate and grinder screen openings. On the other hand specific energy consumption increased with increasing moisture content. The highest specific energy consumption was recorded for 17.3% moisture content and 8 kg h-1 feed rate with 0.5 mm screen opening. Average particle size decreased from 1.06 to 0.39 mm with increase of moisture content and grinder screen opening. It has been observed that the average particle size was minimum at 0.5 mm screen opening and 8 kg h-1 feed rate at lower moisture content. Bond’s work index and Kick’s constant were found to increase from 8.97 to 950.92 kWh kg-1 and 0.932 to 78.851 kWh kg-1 with the increase of moisture content, feed rate and grinder screen opening, respectively. Size reduction ratio and grinding effectiveness of fenugreek seed were found to decrease from 4.11 to 1.61 and 0.0118 to 0.0018 with the increase of moisture content, feed rate and grinder screen opening, respectively. The loose and compact bulk densities varied from 219.2 to 719.4 kg m-3 and 137.3 to 736.2 kg m-3, respectively.
<p>As the amount of textual Information increases, we experience a need for Automatic Text Summarizers. In Automatic summarization a text document or a larger corpus of multiple documents are reduced to a short set of words or paragraph that conveys the main meaning of the text Summarization can be classified into two approaches: extraction and abstraction. This paper focuses on extraction approach.The goal of text summarization based on extraction approach is sentences selection. The first step in summarization by extraction is the identification of important features. In our approach short stories and biographies are used as test documents. Each document is prepared by pre-processing process: sentence segmentation, tokenization, stop word removal, case folding, lemmatization, and stemming. Then, using important features, sentence filtering, data compression and finally calculating score for each sentence is done. In this paper we proposed various features of Summary Extraction and also analyzed features that are to be applied depending upon the size of the Document. The experimentation is performed with the DUC 2002 dataset. The comparative results of the proposed approach and that of MS-Word are also presented here. The concept based features are given more weightage. From these results we propose that use of the concept based features helps in improving the quality of the summary in case of large documents.</p>
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