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Then K.H.,Felda Agricultural Services Sdn Bhd
Acta Horticulturae | Year: 2013

Red Pitaya (Hylocerus polyrhizus) is a new fruit crop in Malaysia that was introduced in the early of 2000's. Due to its high content in vitamins, antioxidants properties and attractive appearance it is highly demanded in the domestic market. The market price of Red Pitaya is based on the fruit size, where a fruit weighing more than 450 g is categorized as grade A fruit, which lead to better market price. The aim of this study was to determine the effects of foliar fertilizer on Red Pitaya fruit weight and quality by spraying the branches and aerial roots. Four types of foliar fertilizers; Box-Fruit (1% v/v), Box-MBF (1% v/v), potassium nitrate (1% w/w) and monopotassium phosphate (1% w/w) were used. The fertilizers were sprayed at weekly intervals and the yield performance was recorded after three months of treatment's application. Fourteen batches of fruits were harvested during this study. The results showed that treated plants were not significantly different from untreated plants in fruit production and total yield, except for the plants treated with Box-MBF which recorded lower yield. The Box-Fruit treated plants however produced heavier fruits with an average of 342.0 g than the untreated plants with an average of 279.9 g/fruit. Meanwhile, potassium nitrate treated plants showed slightly heavier fruit as compared to untreated plants at 295.3 g but this was not significantly different. Both Box-Fruit and potassium nitrate fertilizers improved the fruit quality of Red Pitaya by producing 22.1% and 16.2% grade A fruits respectively compared to the untreated plants which only produced 10.4% of the grade A fruit. Source

Fadilah N.,Universiti Sains Malaysia | Mohamad-Saleh J.,Universiti Sains Malaysia | Halim Z.A.,Universiti Sains Malaysia | Ibrahim H.,Universiti Sains Malaysia | Ali S.S.S.,Felda Agricultural Services Sdn Bhd
Sensors (Switzerland) | Year: 2012

Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important to ensure that they are harvested during optimum stage for maximum oil production. This paper presents the application of color vision for automated ripeness classification of oil palm FFB. Images of oil palm FFBs of type DxP Yangambi were collected and analyzed using digital image processing techniques. Then the color features were extracted from those images and used as the inputs for Artificial Neural Network (ANN) learning. The performance of the ANN for ripeness classification of oil palm FFB was investigated using two methods: training ANN with full features and training ANN with reduced features based on the Principal Component Analysis (PCA) data reduction technique. Results showed that compared with using full features in ANN, using the ANN trained with reduced features can improve the classification accuracy by 1.66% and is more effective in developing an automated ripeness classifier for oil palm FFB. The developed ripeness classifier can act as a sensor in determining the correct oil palm FFB ripeness category © 2012 by the authors; licensee MDPI, Basel, Switzerland. Source

Then K.H.,Felda Agricultural Services Sdn Bhd
Acta Horticulturae | Year: 2014

A fertilizer trial was carried out to investigate the effect of compost application in improving the yield of red pitaya (Hylocereus polyrhizus) under various inorganic fertilizer rates. Pitaya was introduced to Malaysia for commercial planting in the early 2000s. Red pitaya was the major species being cultivated and it grew well under local weather conditions and started to produce fruits within a year. Two compost rates at 6 and 12 kg/plant/year were applied under three N:P:K:Mg mixture fertilizer (9.6:4.8:17.6:2.4) rates at 0, 1.2 and 1.8 kg/pillar/year. Two years of yield data were recorded starting at six months after treatment. The cumulative yield data showed the treatments with highest compost application rate of 12 kg/plillar/year in combination with 1.2 and 1.8 kg mixture fertilizer/pillar/year produced higher yields at 24.5 and 24.2 kg/pillar respectively. The treatment with 6 kg compost/pillar/year with same amount of mixture fertilizer only produced 20.7 and 20.8 kg/pillar. Application of compost alone at 12 kg/pillar/year was able to sustain the total fruit production and average fruit weight as compared to additional application with mixture fertilizer. However, application of 6 kg compost/plant/year alone was insufficient to supply ade×uate nutrient to the plants and caused decrease of yield, total fruit produced and average fruit weight. Source

Then K.H.,Felda Agricultural Services Sdn Bhd
Acta Horticulturae | Year: 2014

Red pitaya (Hylocerus polyrhizus) is a non-seasonal perennial fruit crop that produces fruits all year round. However, it normally flowers only one to three rounds per month in Malaysian weather conditions. A study was carried out to improve the flowering of red pitaya by foliar fertilizer spraying. Four types of foliar fertilizers, such as Box-Flower® (1% v/v), Folar-K® (0.1% v/v), potassium nitrate (1% w/w) and mono-potassium phosphate (1% w/w) were used in this study. The fertilizers were sprayed on the branches and aerial roots in weekly interval. Total flower produced and yield was recorded after three months of treatments. The cumulative flowering records in the first year showed that only Box-Flower® was able to increase the total flowers by 20.8% as compared to untreated plants. Second year flowering records showed greater improvement by all the treatments and significantly increased the total flowers produced to 65.3% by Box-Flower®, 55.6% by potassium nitrate, 50.3% by Folar-K® and 43.6% by mono-potassium phosphate. Cumulative flowering records over two years showed Box-Flower®, potassium nitrate and Folar-K® sprayed were able to induce highest flowering by 38.0, 33.2 and 27.7% respectively, followed by mono-potassium phosphate treatment which induced 18.7% more flowers as compared to untreated plants. Source

Foan C.C.,University of Nottingham Malaysia Campus | Lee Y.W.,Lot L3 l 1 Enterprise | Tan J.S.,Felda Agricultural Services Sdn Bhd | Alwee S.S.R.S.,Felda Agricultural Services Sdn Bhd
Asia-Pacific Journal of Molecular Biology and Biotechnology | Year: 2012

One of the key approaches for disease prevention in oil palm is to develop a disease resistant variety; this can be achieved through tagging of resistance genes in oil palm. In this study, a total of three putative resistance gene homologues (RGHs) have been isolated from oil palm (Elaeis guineensis) using primers targeted at the conserved motifs of the nucleotide binding site (NBS) domain. Comparison of the isolated RGH sequences with the NCBI GenBank database showed that one of the homologues had high identity to the disease resistance like proteins in coconut (90%) and tomato (87%). Phylogenetic analysis indicated that the RGHs clustered with R genes found in Arabidopsis. The findings will be useful for studying of resistant genes in oil palm. Source

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