Browsing by Author "Sandip Shil"

Now showing 1 - 19 of 19
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    Disease index for basal stem rot of arecanut in North East India
    (2014-08) Acharya, G.C.; Ranajana Chakrabarty; Himadri Rabha; Sandip Shil
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    Effect of coconut milk, tender coconut and coconut sugar on the physico-chemical and sensory attributes in ice cream
    (2022) Shameena Beegum; Jwala P. Nair; Manikantan, M.R.; Pandiselvam, R.; Sandip Shil; Neenu, S.; Hebbar, K.B.
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    Efficient nutrient recycling strategy through integrated nutrient management in hybrid napier within a coconut (Cocos nucifera)-based system
    (2023) Nihad, K; Abdul Haris, A; Subramanian, P.; Jeena Mathew; Indhuja, S; Neenu, S.; Ravi Bhat; Sandip Shil
    The present field experiment was conducted to investigate the impact of various combinations of organic inputs on the growth of fodder grass in a coconut [Cocos nucifera (L.)]-based mixed farming during 2013–17 at ICAR-Central Plantation Crops Research Institute, Regional Station, Kayamkulam, Kerala and refined in farmer’s field during 2018–21. The experiment was conducted in randomized block design with seven treatments and three replications with one control [chemical fertilizer (CF) alone] and six organic recycling options with combination of a native strain of Azospirillum sp. [L8(3)] isolated from the coconut rhizosphere, [100% RDN through cow dung slurry (CDS), 100% RDN through coconut leaf vermicompost (CLVC), 100% RDN through CDS + CLVC (1:1), 100% RDN through CDS + CLVC (1:1) + Azospirillum sp., 75% RDN through CDS + CLVC (1:1) + Azospirillum sp. and 50% RDN through CDS + CLVC (1:1) + Azospirillum sp.]. Basal application of 15 tonnes of dried cow dung, 400 kg lime and 90:30:24 kg NPK/ha were supplied irrespective of the treatments. The plants supplied with 100% RDN through CF and CDS + CLVC + Azospirillum sp. recorded the higher yield during the first year, followed by a yield decline in subsequent years which may be due to the nitrogen-induced reduction in soil pH as evident from the soil analysis. The significantly higher fresh fodder yield (126.9 tonnes/ha/year), dry matter yield (22.7 tonnes/ha/year), neutral and acid detergent fibres, crude protein and plant nutrient uptake were recorded by plants supplied with 75% RDN through CDS + CLVC + Azospirillum sp. Technological refinement by adding additional lime (400 kg/ha) during second and third years resulted in 24.59% higher yield. This system of recycling resulted 50% reduction in external physical inputs during the first year and 90% reduction in subsequent two years.
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    Engineering intervention for production of virgin coconut oil by hot process and multivariate analysis of quality attributes of virgin coconut oil extracted by various methods
    (2019-01-01) Ramesh, S.V.; Pandiselvam, R.; Ramayyan Thushara; Manikantan, M.R.; Hebbar, K.B.; Shameena Beegum; Mathew, A.C.; Sathyan Neenu; Sandip Shil
    ICAR-Central Plantation Crops Research Institute, India, has designed and developed a virgin coconut oil (VCO) cooker for the extraction of oil by the hot process. However, a number of VCO production processes being followed in India and elsewhere cause variations in the physicochemical properties, which in turn potentially affect the nutritional and medicinal properties of VCO. The physical and biochemical properties of VCO from the hot process (VCO-Hot), fermentation (VCO-Fer), expelled from dried gratings (VCO-EDG), centrifugation (VCO-Cen), and conventionally prepared copra coconut oil (CCO) were investigated in light of the design concept of the VCO cooker. The nutritionally important total phenolic content (mg GAE/100 g) and antioxidant capacity of all the VCOs were found to be in the range of 0.446 ± 0.041 (VCO-Cen) to 2.867 ± 0.152 (VCO-Hot) and 3.87 mM Trolox equivalent (TE) (VCOCen) to 11.31 mM TE (VCO-Hot), respectively. Multivariate analysis revealed that quality attributes viz., total phenol, total flavonoid, and cupric ion reducing antioxidant capacity of VCO-Hot defined by principal component 1. Hierarchical clustering showed that the VCO-Hot belonged to the group with high total phenolic and flavonoids content and strong antioxidant capacity. Comparative biochemical properties along with multivariate analysis differentiated the various VCO samples.
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    Evaluation of Drought Tolerance Selection Indices in Chickpea Genotypes
    (2016) Uday Chand Jha; Parthasarathi Basu; Sandip Shil; Narendra Pratap Singh
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    Forecasting of arecanut market price in north eastern India: ARIMA modelling approach
    (2013-12) Sandip Shil; Acharya, G.C.; Jose, C.T.; Muralidharan, K.; Sit, A.K.; George V. Thomas
    The paper deals with forecasting of minimum, maximum and average arecanut (Areca catechu L.) prices in the major arecanut markets of the Assam as well as Meghalaya based on the monthly price data. Monthly minimum, maximum, and average market price data of arecanut (in Rs./quintal) for the period May-2003 to March-2012 (for Assam) and February-2003 to March-2012 (for Meghalaya) were used. Box-Jenkins autoregressive integrated moving average (ARIMA) methodology was adopted for developing the models. An interrupted time-series model was also applied to resolve the problem of intervention point (October-2011) for Meghalaya price data. The proposed models were ARIMA (1, 0, 1), ARIMA (1, 1, 1), ARIMA (0, 1, 1) (for Assam market price data series) and, log ARIMA (0, 1, 1), log ARIMA (1, 0, 1) with linear trend and a man-made intervention (Oct-2011) and log ARIMA (0, 1, 1) with linear trend and a manmade intervention (Oct-2011) (for Meghalaya market price data series) for minimum, maximum, and average monthly price series, respectively.
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    Heat tolerance indices and their role in selection of heat stress tolerant chickpea (Cicer arietinum) genotypes
    (2018-02) Uday Chand Jha; Rintu Jha; Narendra Pratap Singh; Sandip Shil; Paresh Chandra Kole; ;
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    Normalization of gene expression data using support vector machine approach
    (2016) Sandip Shil; Kishore K. Das; Ananta Sarkar
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    Physicochemical characterization and fatty acid profiles of testa oils from various coconut (Cocos nucifera L.) genotypes
    (2022-08-05) Ramesh, S.V.; Rose Mary; Shameena Beegum; Ravi Pandiselvam; Sugatha Padmanabhan; Neenu Sathyan; Sandip Shil; Niral; Manikantan Musuvadi Ramarathinam; Ankanahalli Narayanashetty Lokesha; Kodathalu Seetharamaiah Shivashankara; Dr. K. B. Hebbar
    BACKGROUND: Cocos nucifera (L.) is an important plantation crop with immense but untapped nutraceutical potential. Despite its bioactive potential, the biochemical features of testa oils of various coconut genotypes are poorly understood. Hence, in this study, the physicochemical characteristics of testa oils extracted from six coconut genotypes – namely West Coast Tall (WCT), Federated Malay States Tall (FMST), Chowghat Orange Dwarf (COD), Malayan Yellow Dwarf (MYD), and two Dwarf × Dwarf (D × D hybrids) viz., Cameroon Red Dwarf (CRD) × Ganga Bondam Green Dwarf (GBGD) and MYD × Chowghat Green Dwarf (CGD) – were analyzed. RESULTS: The proportion of testa in the nuts (fruits) (1.29–3.42%), the proportion of oil in the testa (40.97–50.56%), and biochemical components in testa oils – namely proxidant elements Fe (34.17–62.48 ppm) and Cu (1.63–2.77 ppm), and the total phenolic content (6.84–8.67 mg GAE/100 g), and phytosterol content (54.66–137.73 mg CE/100 g) varied depending on the coconut genotypes. The saturated fatty acid content of testa oils (67.75 to 78.78%) was lower in comparison with that of coconut kernel oils. Similarly, the lauric acid (26.66–32.04%), myristic (18.31–19.60%), and palmitic acid (13.43–15.71%,) content of testa oils varied significantly in comparison with the coconut kernel oils (32–51%, 17–21% and 6.9–14%, respectively). Liquid chromatography–mass spectrometry (LC–MS) analysis revealed the presence of 18 phenolic acids in coconut testa oil. Multivariate analysis revealed the biochemical attributes that defined the principal components loadings. Hierarchical clustering analysis of the genotypes showed two distinct clusters. CONCLUSION: This study reveals the genotypic variations in the nutritionally important biochemical components of coconut testa oils. The relatively high concentration of polyunsaturated fatty acids (PUFA) and polyphenol content in testa oils warrant further investigation to explore their nutraceutical potential.
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    PolyMorphPredict: A Universal Web-Tool for Rapid Polymorphic Microsatellite Marker Discovery From Whole Genome and Transcriptome Data
    (2019) Ritwika Das; Vasu Arora; Sarika Jaiswal; MA Iquebal; UB Angadi; Samar Fatma; Rakesh Singh; Sandip Shil; Anil Rai; Dinesh Kumar
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    Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model
    (2022) Hebbar, K.B.; Pulloott Sukumar Abhin; Veliyathukudy Sanjo Jose; Poonchalikundil Neethu; Arya Santhosh; Sandip Shil; P. V. Vara Prasad
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    Spatial Distribution Patterns for Identifying Risk Areas Associated with False Smut Disease of Rice in Southern India
    (2022) Sharanabasav Huded; Devanna Pramesh; Amoghavarsha Chittaragi; Shankarappa Sridhara; Eranna Chidanandappa; Muthukapalli K. Prasannakumar; Channappa Manjunatha; Balanagouda Patil; Sandip Shil
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    Textural Properties of Coconut Meat: Implication on the Design of Fiber Extraction and Coconut Processing Equipment
    (2022-01-01) Pandiselvam, R.; Anandu Chandra Khanashyam; Manikantan, M.R.; D. Balasubramanian; Shameena Beegum; Ramesh, S.V.; Anjineyulu Kothakota; Niral, V.; Sandip Shil
    The textural properties of coconut meat such as punching force, cutting force, punching energy, and cutting energy are the salient parameters for the efficient and ergonomic design of the fiber extraction machine and processing equipments such as coconut chips slicing machine and grating machine. As literature on these textural properties of coconut meat is limited, our study analyzed these textural properties at three different positions viz. eye, middle and bottom position of 9, 10, and 11 months maturity old Malayan Yellow Dwarf (MYD), Malayan Orange Dwarf (MOD), and Chowghat Orange Dwarf (COD) cultivars. Statistical analysis revealed that cultivar, maturity and loading position are the major factors that significantly affect the textural properties of coconut meat. MOD was reported to be the toughest cultivar followed by MYD and COD. The amount of force and energy needed to punch and cut the coconut meat was found to increase with maturity (11 months> 10 months> 9 months) and loading position (bottom section > middle section > eye section), respectively. The highest punching force was observed for the meat of cultivar MOD of 11 months maturity with 18.41 ± 1.53 N, 36.70 ± 5.72 N, and 39.12 ± 6.65 N for the eye, middle and the bottom sections, respectively. The highest punching and cutting energy of 168.89 ± 7.37 J and 254.21 ± 28.14 J was documented for MOD cultivar of 11 months maturity, at the bottom section.
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    Trend analysis and forecasting coconut production in Assam
    (2013-08) Sandip Shil; Acharya, G.C.; Paul, S.C.; Soumen Paul
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    Vulnerability of whiteleg shrimp production to climate change in coastal India: An indicator approach
    (2022) Kalidoss Radhakrishnan; C. Lloyd Chrispin; R. Sendhil; M. Krishnan; Sandip Shil; J. Amali Infantina; A. Karthy; Ankhita Chutia; Swadesh Prakash
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