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T. S. G. Peiris
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Agriculture, Biological Sciences & Forestry Library & Information Science

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Control of spatial effects due to neighboring palms in coconut (Cocos nucifera) experiments T. S. G. Peiris
International Coconut Community Journal Vol 23 No 2 (2007): CORD
Publisher : International Coconut Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.32 KB) | DOI: 10.37833/cord.v23i2.166

Abstract

The RCBD is the most robust design for field experimentations in coconut. In this study the effect of neighboring palms to control local variation in field experiments of coconut was evaluated using two long-term coconut trials. Four types of spatial models are suggested to consider the spatial effect due to neighboring palms and the use of such models is illustrated using two long-term field experiments. When data were analyzed separately by years or using repeated measures analysis, significant percentage reduction of CV was observed in all four spatial models relative to the RCBD model without covariates as well as pre-treat data as covariate irrespective of the experiment. Inclusion of the mean of two neighbouring palms in N-S or E-W direction as a covariate was clearly superior to the RCBD without covariate as well as pre-data as covariate when data were analyzed separately by years. Inclusion of the mean of four neighbouring palms in N-S and E-W direction as a covariate was superior to repeated measures analysis in reducing local variation, irrespective of experiments. It is recommended to include effect due to neighbouring palms when analyzing field experiments in coconut. The methodology can be applied to other tree crop experiments as well.
Factors influencing the use of coconut oil by the householders in Sri Lanka and their policy relevance to popularize the consumption of coconut oil T. S. G. Peiris; M. T. N. Fernando; S. Samarajeewa
International Coconut Community Journal Vol 20 No 2 (2004): CORD
Publisher : International Coconut Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37833/cord.v20i02.388

Abstract

In recent past the concept on the use of coconut oil (CNO) by the householders in Sri Lanka has been changing due to various reasons. The reasons were studied using the generalized linear models for the survey conducted during May/June 2001 for 366 householders representing three different population sectors (urban, rural and estate) and different income groups. The significant factors influencing the use of CNO are the type of oil used in past, monthly income, quality of CNO, misconception about CNO and the population sectors. The percentage of non-CNO users is considerably higher in the urban sector, whereas CNO still is the major edible oil in the rural and estate population sectors of Sri Lanka. The percentage of householders using CNO in the sample was 91.2. In 75% of the sample, the quantity of CNO consumption per person has reduced over the last five years. The main reason for dissatisfaction for CNO is adulteration. The proportion of CNO use was significantly higher in lower income groups than the higher income groups. The proportion of the CNO use decreased sharply when the income increases above Rs. 40,000 per month. The high-income earners have shifted their preferences towards other edible oil consumption. The findings of this study suggest that the growth of the per capita incomes and the rapid urbanization in the country further reduces the consumer demand for coconut oil, unless there are effective marketing strategies implemented to promote the CNO consumption in the long run. Both the proportion and rate of CNO use can be increased through an effective campaign via media. Improving the quality and dispelling the misconception among the householders would give better prospects to the coconut oil industry in Sri Lanka.
FORECASTING THE CROP YIELD OF A COCONUT ESTATE T. S. G. Peiris
International Coconut Community Journal Vol 5 No 02 (1989): CORD
Publisher : International Coconut Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37833/cord.v5i02.226

Abstract

Seasonal Autoregressive Integrated Moving Average (ARIMA) process of (0,1,2) x (0,1,1) x 6 that best fits a set of crop‑wise coconut yield data, in Bandirippuwa, Lunuwila is identified with­out using variance stabilization transformation. In this process the present value of the series may be described as a linear function of the past observation of the series and past disturbances. The physical factors such as rainfall, temperature, day length etc. are not required for this method, however the past crop figures in the estate is needed. While such model is useful for short term fore­casting, it also gives the upper and lower limits of the forecasts at a given probability. These intervals would provide the quantified information on the degree of duration of the forecasts.
Co-Authors M. T. N. Fernando S. Samarajeewa