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<title>Scholarly Publications</title>
<link href="http://ir.lib.ruh.ac.lk/handle/iruor/8" rel="alternate"/>
<subtitle>Scholarly publications produced by the members of University of Ruhuna</subtitle>
<id>http://ir.lib.ruh.ac.lk/handle/iruor/8</id>
<updated>2026-04-28T08:46:08Z</updated>
<dc:date>2026-04-28T08:46:08Z</dc:date>
<entry>
<title>Effect of iron (fe2+) toxicity on yield and yield components of selected high-yielding rice varieties under low country wet zone field conditions</title>
<link href="http://ir.lib.ruh.ac.lk/handle/iruor/20856" rel="alternate"/>
<author>
<name>De Silva, S.R.</name>
</author>
<author>
<name>Masakorala, K.</name>
</author>
<author>
<name>Withanawasam, D.M.</name>
</author>
<id>http://ir.lib.ruh.ac.lk/handle/iruor/20856</id>
<updated>2026-04-27T08:12:43Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Effect of iron (fe2+) toxicity on yield and yield components of selected high-yielding rice varieties under low country wet zone field conditions
De Silva, S.R.; Masakorala, K.; Withanawasam, D.M.
Country Wet Zone. This study aimed to assess the effects of Fe2+ toxicity on grain yield and yield components of &#13;
selected high-yielding rice varieties and analyse their sensitivity to iron toxicity by comparing yield and yield&#13;
related parameters obtained under iron stress treatment with those recorded under control conditions. A field &#13;
screening experiment was conducted during the 2023–2024 Maha season at the Regional Rice Research and &#13;
Development Centre, Bombuwala, Sri Lanka using 15 rice varieties (BW272-6B, Bg359, BW372, BW302, At311, &#13;
BW266-7, BW312, BW361, Bg300, BW367, BW364, BW267-3, BW363, Bg374, BW51). A site with high Fe2+ levels &#13;
(294.45 to 317.10 mg kg−1) was selected to induce toxic effects, while a control site had low levels (78.90 to 112.63 &#13;
mg kg−1). To evaluate the effect of iron toxicity on grain yield and yield components of 15 rice cultivars, a &#13;
randomized complete block design (RCBD) with 3 replicates (n=3) was used. Grain yield per plant, along with &#13;
plant height, tiller number, 1000 grain weight, and fertility (filled and unfilled grains per panicle), were recorded &#13;
as yield components. A Generalized Linear Model was employed to assess the effects of treatment, variety and &#13;
their interaction on yield and yield parameters. The results showed that BW267-3, BW367, BW363, BW372, &#13;
BW302, and At311 had no significant differences in yield and yield components compared to the control, &#13;
indicating high tolerance to Fe2+ toxicity. Conversely, BW272-6B and Bg359 showed significant reductions in yield &#13;
(33%), 1000-grain weight (40%), fertility (25%), plant height (18%), and tillering (33%), thereby classifying them &#13;
as susceptible. Other varieties were moderately affected and classified as moderately tolerant.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Effect of varieties and fertilizer practices on yield and quality of capsicum chinense jacq under protected culture</title>
<link href="http://ir.lib.ruh.ac.lk/handle/iruor/20846" rel="alternate"/>
<author>
<name>Dilshan, J.M.D.M.</name>
</author>
<author>
<name>De Silva, C.S.</name>
</author>
<author>
<name>Kodikara, K.M.S.</name>
</author>
<id>http://ir.lib.ruh.ac.lk/handle/iruor/20846</id>
<updated>2026-04-21T08:42:30Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Effect of varieties and fertilizer practices on yield and quality of capsicum chinense jacq under protected culture
Dilshan, J.M.D.M.; De Silva, C.S.; Kodikara, K.M.S.
Capsicum chinense Jacq, belongs to the family Solanaceae and is native to Central and South America. It has been &#13;
widely cultivated in Sri Lanka as a commercial crop. This study was undertaken to identify the most suitable &#13;
combination of fertilizer and C. chinense variety to enhance growth, yield, and fruit quality, aiming to optimize C. &#13;
chinense production, reduce input wastage, and increase profitability for farmers. This experiment was conducted &#13;
at the Regional Agriculture Research and Development Center, Bandarawela using a Completely Randomized &#13;
Block Design with a two-factor factorial arrangement, four replications, each with six plants. Two factors were &#13;
fertilizers: Albert’s solution and Kodimix® and five C. chinense varieties: Piquante, Hot dragon, Dark green, &#13;
Light green, and M1HP1. Ten treatment combinations were tested, pairing each variety with one of the two &#13;
fertilizers for growth yield and quality parameters. The results indicated that the treatment effect was statistically &#13;
significant (P&lt;0.05) for most measured parameters. The results of the present investigation indicated that, among &#13;
the treatments, Piquante × Kodimix® yielded the highest per-plant yield (0.92 kg) and was therefore considered &#13;
the best treatment.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Validation of scar markers for early sex determination in papaya (carica papaya l.) under Sri Lankan conditions</title>
<link href="http://ir.lib.ruh.ac.lk/handle/iruor/20845" rel="alternate"/>
<author>
<name>Priyadarshani, A.G.W.</name>
</author>
<author>
<name>Mewan, K.M.</name>
</author>
<author>
<name>Wikramasinghe, W.T.S.S.</name>
</author>
<author>
<name>Perera, UI.P.</name>
</author>
<author>
<name>Pinthujan, P.</name>
</author>
<id>http://ir.lib.ruh.ac.lk/handle/iruor/20845</id>
<updated>2026-04-21T07:56:15Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Validation of scar markers for early sex determination in papaya (carica papaya l.) under Sri Lankan conditions
Priyadarshani, A.G.W.; Mewan, K.M.; Wikramasinghe, W.T.S.S.; Perera, UI.P.; Pinthujan, P.
Papaya (Carica papaya L.) is a commercially important tropical fruit crop exhibiting three sex types: male, female &#13;
and hermaphrodite. Because sex expression cannot be identified morphologically at the seedling stage, excess &#13;
plants are often maintained until flowering, resulting in inefficient use of land, labour and inputs. This study &#13;
evaluated the transferability and diagnostic performance of widely used sequence-characterized amplified region &#13;
(SCAR) markers for early sex identification in a Sri Lankan papaya population. Fifty randomly selected 40–45&#13;
day-old seedlings from a controlled hermaphrodite × hermaphrodite (H×H) population were screened using &#13;
SCAR-W11 and SCAR-T12 markers, with SCAR-T1 used as a positive amplification control. SCAR-W11 and &#13;
SCAR-T12 amplified a specific ~800 bp fragment in hermaphrodite plants, whereas no amplification was &#13;
observed in female plants. Morphological assessment at flowering showed complete agreement between molecular &#13;
marker-based identification and phenotypic sex classification within the evaluated dataset showing complete &#13;
agreement between molecular and morphological sex identification. These findings indicate that SCAR-W11 and &#13;
SCAR-T12 are reliable markers for distinguishing hermaphrodite and female papaya seedlings under Sri Lankan &#13;
conditions and can facilitate more efficient nursery management and breeding programs.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Evaluation of the nutritional, functional, and glycemic properties of commercially available white, finger millet, and multigrain breads in sri lanka</title>
<link href="http://ir.lib.ruh.ac.lk/handle/iruor/20844" rel="alternate"/>
<author>
<name>Tennakoon, T.M.P.M.</name>
</author>
<author>
<name>Somaratne, G.M.</name>
</author>
<author>
<name>Jayawardhane, M.R.M.P.</name>
</author>
<author>
<name>Dilrukshi, S.A.D.A.</name>
</author>
<author>
<name>Prasantha, B.D.R.</name>
</author>
<id>http://ir.lib.ruh.ac.lk/handle/iruor/20844</id>
<updated>2026-04-21T05:19:06Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Evaluation of the nutritional, functional, and glycemic properties of commercially available white, finger millet, and multigrain breads in sri lanka
Tennakoon, T.M.P.M.; Somaratne, G.M.; Jayawardhane, M.R.M.P.; Dilrukshi, S.A.D.A.; Prasantha, B.D.R.
With the ongoing increase in metabolic syndrome cases worldwide and the importance of carbohydrate quality for &#13;
glycemic control, assessing the nutritional and functional qualities of commonly consumed staple foods is of great &#13;
importance. This study assessed the nutritional composition, glycemic index (GI), functional properties and &#13;
overall loaf suitability of three commercially available bread types: white, finger millet and multigrain bread for &#13;
managing metabolic syndrome. While the nutritional parameters were measured using standard AOAC methods, &#13;
the Folin–Ciocalteu reagent method and the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assay were &#13;
used to analyse the total phenolic content (TPC) and antioxidant activity of breads, respectively. Eighteen non&#13;
diabetic, healthy participants with an average BMI of 21.2±1.7 kg/m2 underwent GI studies in accordance with &#13;
ISO 26642:2010 protocols. The studies were conducted after a 10-12-hour fast, measuring the blood sugar &#13;
response over 2 hours from the time of consumption of bread samples containing 50 g of available carbohydrates. &#13;
The results indicated that the three breads differed significantly (P &lt; 0.05) in specific nutritional properties, &#13;
including fat, protein, and dietary fiber. White bread, prepared from refined wheat flour, showed the lowest fat &#13;
(2.40±0.14%) and ash content (1.30±0.14%) along with the highest protein content (8.10±0.14%). Conversely, &#13;
finger millet bread and multigrain bread contained 7.20±0.14% and 5.40±0.00% protein and 3.20±0.14% and &#13;
4.80±0.14% fat, respectively. No significant difference (P &gt; 0.05) was observed in dietary fiber content between &#13;
multigrain bread (3.40±0.14%) and finger millet bread (3.10±0.14%); however, both were significantly higher &#13;
(P&lt;0.05) than white bread (2.10±0.14%).  The antioxidant activities were 0.13±0.04%, 10.09±0.10% and &#13;
7.76±0.46% for white, finger millet and multigrain bread, respectively. The TPC was 3.05±0.39 mg GAE/g for &#13;
white bread, 3.53±0.05 mg GAE/g for finger millet bread and 4.41±0.00mg GAE/g for multigrain bread, indicating &#13;
that it was significantly higher (P&lt;0.05) in multigrain bread. Glycemic Index for white, finger millet and &#13;
multigrain bread were 63.93±8.14 (medium-GI), 53.50±4.81 (low-GI) and 45.78±4.14 (low-GI), respectively. In &#13;
conclusion, these findings suggest that finger millet and multigrain breads have the potential to serve as healthier &#13;
bread options for glycemic control and metabolic health in the general population, owing to their lower glycemic &#13;
impact and higher antioxidant and phenolic content.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
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