Browsing by Author "Dematawa, P."

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Consumer Comprehension and Usage of Nutritional Labeling in Food Purchasing
    (Uva Wellassa University of Sri Lanka, 2013) Amarakoon, A.M.C.; Mahindarathne, M.G.P.P.; Dematawa, P.
    Consumer behavior in food market has been changed rapidly over time and as reported by Withanage and Jayasinghe (2010), Sri Lankan consumers have become more conscious of the nutrition, health, and quality of the food they eat; hence healthiness has become an important criterion for food purchases. Consumers are curious to search more information for the constituents of foods they consumed. Among many information sought by the consumers, nutritional information has become important as present day consumers keen to know about the wholesomeness of the food they consume. Identifying that, many of the manufacturers and marketers have been placing nutrition fact panel on packed foods. Though this nutritional labeling appears on the package, the utility of this information, in other word how consumers use this information has not been assessed. Hence this study examines the significant factors that affect on consumer comprehension and usage intention of nutrition labeling on food packages. Methodology A conceptual model was framed incorporating different labeling factors, product factors and background variables that affect on consumer comprehension and usage intention of nutrition labeling by expanding the theoretical framework used by Feunekesa et al. (2008) in their research of “Front-of-pack nutrition labelling: Testing effectiveness of different nutrition labelling formats front-of-pack in four European countries”. According to the above model, Consumer Usage Intention of Nutrition Labeling is a function of consumer friendliness towards nutritional labeling (e.g. comprehension, credibility and liking), perceived healthiness of the product and background variables (e.g. demographic factors, behavior and attitudes towards health, nutrition awareness, occasion of purchase and purchase motive). A structured questionnaire was developed based on the conceptual framework developed and pre-tested. Administering the questionnaire, primary data were collected from 150 super market consumers in Kandy and Colombo districts. Socio-demographic characteristics of the sample and usage intention of nutrition label in the different socio-demographic segments were analyzed applying descriptive statistics. Impact of the different factors affecting on the usage intentionof nutrition label was analyzed using multiple linear regression. Dependent variable in the model, consumer usage intention of nutrition labeling (Mean value of five point likert scale scores) was measured as the “Generalized Intention” method proposed by Francis et al. (2008). Independent variables (Table 1) were measured using most relevant assessment scales.
  • Thumbnail Image
    Item
    Effect of Plant Spacing on Big Onion (Allium Cepa L.) Yield in Yala Season
    (Uva Wellassa University of Sri Lanka, 2013) Wasalthilaka, R.T.; De Silva, W.A.N.T.; Dematawa, P.
    Big onion (Allium cepa L.) is an essential condiment in Sri Lankan diet so it is cultivated in Sri Lanka. It mainly grows in Matale, Anuradhapura, Polonnaruwa, Kurunegala districts and Mahaweli H zone. Pusa red, Rampure, Agri found light red, Kalpitiya selection, N53 and Nasic red are the recommended varieties for Sri Lankan conditions considering the factors such as high yield, seed setting ability, storage adaptability, pungency and color etc. Local production of big onion, which is approximately 61,037 MT per year, is not sufficient to meet the annual demand of big onion approximately in between 200,000 - 220,000 MT per year (Department of Census and Statistics, 2011). The major constraint to improve the productivity of big onion in Sri Lanka is the unavailability of good quality seeds of recommended varieties in adequate quantities (Mettananda, 2006). In addition, the poor quality of imported seeds from India is another constraint to enhance the big onion production. Poor quality seeds are characterized by poor germination and poor bulb formation ability and poor quality seeds will result the bulbs which show high thick neck percentage and low yield (Edirimanna, 2003). Minimizing the land area devoted for big onion seed production is a challenge and one way to overcome this challenge is to explore the possibilities of increase in plant density by decreasing plant spacing without affecting seed yield. The objective of the present study was to study the effect of reduction in plant spacing on big onion seed yield of variety Agri found light red which is popularly cultivated in Sri Lanka. Methodology This experiment was conducted at the big onion cultivation site of CIC Agri Busisesses at Palwehera, Dambulla from May 2013 to September 2013.Two plant spacings; 17.78 cm×17.78 cm and 15.24 cm×15.24 cm were used in the experiment which was laid out in a Completely Randomized Block Design (CRBD) with 10 replicates. Agri found light red variety was used to assess the final seed yield of onion. Planting beds were prepared in size 1 m × 3 m. Vernalized medium sized (50-70g/bulb) mother bulbs were selected and treated with Chlorpyrifos 400g/L EC (20ml/10Lof water) and Thiram (80% (w/w) WP) (15g/10L of water).Treated bulbs were planted randomly in planting beds according to the design. Watering was done daily. Oxyfluorfen 240g/L EC (11 ml/10 L of water) was applied in 5 days after planting to control weeds and one or two hand weeding was followed to effectively control the weeds. Recommended concentrations and volumes of fertilizers and other chemicals were applied depending on the growth stages of onion. Hand pollination was done 50 days after planting and it was continued for about 21 days. Matured umbels were harvested in 85-95 days after planting and harvesting was continued for about 30 days. The umbels were air dried for about 15 days. Air dried umbels were sundried and processed to separate seeds from seed heads. Cleaned seeds were dried to reduce the moisture to 8% and weighed. Yield components of big onion plants were assessed during the study period. Number of umbels per 1m , number of florets per umbel, percentage of fertile florets per umbel, number of seeds per fertile floret, 1000 seed weight and total plot yield were measured as yield components. Collected data of yield components were statistically analyzed using Analysis of variance (ANOVA) in MINITAB 15 software.