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<title>2015 - Volume 10 Issue 2</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/657</link>
<description/>
<pubDate>Wed, 15 Apr 2026 04:01:25 GMT</pubDate>
<dc:date>2026-04-15T04:01:25Z</dc:date>
<item>
<title>Irrigation and Income-Poverty Alleviation: An Assessment Study of Kampe Irrigation Dam in Kogi State, Nigeria</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/954</link>
<description>Irrigation and Income-Poverty Alleviation: An Assessment Study of Kampe Irrigation Dam in Kogi State, Nigeria
Gbenga, Opeyemi; Babatunde; Olanrewaju, Raphael; Adenuga; Henry, Adewale; Olagunju; Iyabo, Funke
Irrigation has been suggested to be a central key part in curbing food scarcity and alleviating&#13;
poverty not only in Nigeria but also in many other developing countries. The continued dependence&#13;
on rainfall in agriculture has proved incapable of sustaining the population increase. The study&#13;
was conducted to assess the role of Kampe irrigation dam on farm household’s income-poverty&#13;
status in Kogi State, Nigeria. A two stage sampling technique was utilized for the study. Samples&#13;
were drawn from irrigation beneficiaries and non-beneficiaries within the project community. A&#13;
total of 140 respondents were interviewed using structured questionnaire. Also, the study used&#13;
the Foster-Greer-Thorbecke (FGT) model which was used to examine the incidence, gap and&#13;
severity of poverty among the sampled respondents. Logit regression model was used to identify&#13;
the factors contributing to poverty state in the study area. The poverty incidence was 41 % and&#13;
57 % for irrigation beneficiaries and non-beneficiaries respectively. Poverty gap i.e aggregate&#13;
expenditure shortfall was 6 % and 21 % for irrigation beneficiaries and non-beneficiaries&#13;
respectively. However, poverty severity was much higher among irrigation beneficiaries (28%)&#13;
and 23 % for irrigation non-beneficiaries. Farm household size, total annual farm income and&#13;
total input cost all contributed to the poverty situation in the study area. Conclusion, the study&#13;
agree that irrigation dam project would contribute to reducing income-poverty of irrigation farm&#13;
households, from the result, the study also, based on the key research findings, this study provides&#13;
recommendations on policy and interventions for making irrigated agriculture effective tool for&#13;
poverty reduction program
</description>
<pubDate>Sat, 02 May 2015 00:00:00 GMT</pubDate>
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<dc:date>2015-05-02T00:00:00Z</dc:date>
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<item>
<title>Mapping the Climate Suitability Using MaxEnt Modeling Approach for Ceylon Spinach (Basella alba L.) Cultivation in India</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/951</link>
<description>Mapping the Climate Suitability Using MaxEnt Modeling Approach for Ceylon Spinach (Basella alba L.) Cultivation in India
Reddy, M. T; Begum, H; Sunil, N; Pandravada, S. R; Sivaraj, N; Kumar, S
Ceylon spinach (Basella alba L.) is a traditional leafy vegetable of multiple virtues largely&#13;
underutilized and underexploited in India. Currently, it is of increasing value and utilization&#13;
necessitating extending its cultivation for increased production by identifying potential areas&#13;
through crop modeling. Mapping the potential pockets is an iterative process and this study is&#13;
the first attempt to model state-wise climate suitability for Ceylon spinach cultivation in India.&#13;
Geographical information on the current cultivation sites of Ceylon spinach together with&#13;
bioclimatic variables, the maximum entropy (MaxEnt) model were used to analyze and predict its&#13;
distribution and to develop preliminary habitat suitability map for Ceylon spinach in India. The&#13;
results show that the MaxEnt model can be used to study the climatic suitability for Ceylon spinach&#13;
cultivation. The most suitable area identified in this study is slightly southward which includes&#13;
parts of Tamilnadu, Pondicherry, Maharashtra, Orissa, West Bengal, Bihar, Madhya Pradesh,&#13;
Uttar Pradesh, Rajasthan and Gujarat. The MaxEnt model performed better than random with&#13;
an average training and test AUC values of 0.953 and 0.994, respectively. The constructed model&#13;
had excellent goodness-of-fit and excellent predictive accuracy and therefore it is suitable and/or&#13;
applicable for predicting the geographic distribution of Ceylon spinach cultivation in India.
</description>
<pubDate>Sat, 02 May 2015 00:00:00 GMT</pubDate>
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<dc:date>2015-05-02T00:00:00Z</dc:date>
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<item>
<title>Water Treatment, Preventive Measures and the Chronic Kidney Disease in the Farming Community in Sri Lanka</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/944</link>
<description>Water Treatment, Preventive Measures and the Chronic Kidney Disease in the Farming Community in Sri Lanka
Ranasinghe, H. R. A. L. N; Lokuge, L. D. M. N; Edirisinghe, J. C; Bandara, L
Whilst being accountable for an increasing trend in mortality and morbidity, Chronic Kidney Disease of unknown aetiology (CKDu) has become a severe burden in Sri Lanka. Even though there is&#13;
no sound evidence to clarify the aetiology of CKDu, it will be worthwhile to seek out the possible&#13;
measures to minimize the prevalence of the disease. Hence, this study was intended to examine the&#13;
impact of water treatment and preventive measures on CKDu. Data were collected from the farming community who applies agrochemicals. Both a probit and a Logit regression were carried out&#13;
to check whether there is any relationship between CKDu and related variables such as consumption of treated water and adopting safety precautions. Results reveal that age, being a male, using&#13;
deep wells as a source of drinking water, and long term medication increases the probability of&#13;
getting the disease while, both preventive measures and water treatment significantly reduce this&#13;
probability. Therefore, ensuring an adequate supply of treated water, especially for the severely&#13;
affected villages is vital. Furthermore, both government and non-government institutions should&#13;
work responsibly to increase the awareness of CKDu and safety precautions, in order to save the&#13;
future generation.
</description>
<pubDate>Sat, 02 May 2015 00:00:00 GMT</pubDate>
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<dc:date>2015-05-02T00:00:00Z</dc:date>
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<item>
<title>Role of Information on Women Consumer Decision Making on Food Quality: An Analysis Based on Visual Presentation of Dairy Quality Attributes</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/941</link>
<description>Role of Information on Women Consumer Decision Making on Food Quality: An Analysis Based on Visual Presentation of Dairy Quality Attributes
Thilakarathne, N. T; Mudalige, U. K. Jayasinghe; Udugama, J. M. M; Edirisinghe, J. C; Herath, H. M. L. K
The purpose of this study was to examine empirically, using food safety and quality attributes&#13;
presented in the Caswell’s Classification as the analytical framework, whether a consumer’s&#13;
decision to purchase a food product at a given point of time, in this case Yoghurt and Full Cream&#13;
Milk Powder, is predominately governed by a ‘single’ common attribute/s such as ‘appearance’&#13;
or by a number of other attributes (i.e. ‘multiple’) such as ‘packaging’, ‘labeling’, ‘quality&#13;
certification’, and ‘brand’, collectively. This were examined empirically under three distinct&#13;
food safety information scenarios available to consumers as the product was presented to them&#13;
“visually”; (1) ‘No’; (2) ‘Partial’; or (3) ‘Full’ information about the product quality. Primary&#13;
data collected from 200 women consumers from urban household settings in the Gampaha district&#13;
during May to June 2014 were, in turn, used to derive a Food Quality Information Index (values&#13;
ranged from 0 to 1) for five different panels derived to elaborate these information scenarios.&#13;
The outcome of analysis suggests that consumer preference for these products increases as more&#13;
information is available on multiple attributes, including the ‘brand’, ‘labeling’, and ‘certification’,&#13;
or in other words, transforming those ‘Credence’ characteristics towards ‘Experience’ and/or&#13;
‘Search’ characteristics. Results from Chi-square analysis highlight that consumer behavior is not&#13;
significantly affected by their age, civil status, education, and level of income.
</description>
<pubDate>Sat, 02 May 2015 00:00:00 GMT</pubDate>
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<dc:date>2015-05-02T00:00:00Z</dc:date>
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