Informatics Publishing Limited

Binod Kumar ¹, Govind Singh ², Rajesh Kumar ², Kamlesh Kumar Nishad ³

Affiliations
1 Krishi Vigyan Kendra, Kannauj (U.P.), IN
2 Remote Sensing Applications Centre, Jankipuram, Lucknow (U.P.), IN
3 Department of Agronomy, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad (U.P.), IN

Abstract

A field trial was carried out at NDUAT Faizabad to find out the effect of nitrogen and sulphur nutrition on growth and yield attributing characters of maize (Zea mays L.) genotypes under eastern plain zone of U.P. Nitrogen plays a vital role for the activities of every living cell. Adequate supply of N is associated with dark green colour and vigorous growth. Sulphur is most limiting factor for synthesis of sulphur bearing amino acids viz., cystine, cystein and methionine and lipids. Three nitrogen level and two genotype were kept in main plot while four sulphur levels were allocated into sub plots under Split Plot Design and replicated thrice. Highest net returns of rupees 29134, 28191 and 30420 per hectare and B: C ratio of 2.07, 2.03 and 2.14 were earned with the application of 120 kg ha^-1 N by Deccan- 103 genotype and nourishment of 20 kg ha^-1 sulphur, respectively.

Keywords

Maize, Nitrogen, Sulphur, Nutrition, Genotypes, Growth, Yield, Economics.

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Govind Singh ¹, Binod Kumar ², Kamlesh Kumar Nishad ³, Rajesh Kumar ¹

Affiliations
1 Remote Sensing Applications Centre, Jankipuram, Lucknow (U.P.), IN
2 Krishi Vigyan Kendra, Kannauj (U.P.), IN
3 Department of Agronomy, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad (U.P.), IN

Abstract

National Seed Project farm soils of Nadradra Deva University of Agriculture and Technology, Kumarganj Amaniganj block, Faizabad district of Uttar Pradesh were studied, the surface soils have soil reaction of all farm was alkaline, the organic carbon content in all the farms was low to medium and zinc, manganese and cupper were medium while iron were low in category all National seed project farms.

Keywords

NSP Farm, Micronutrient.

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Deepak Tinguriya ¹, Binod Kumar ¹

Affiliations
1 Singanir University, District, Jhunjhunu - 333 515, IN

Abstract

Terrorist Detection System (TDS) is aimed at detecting suspicious users on the Internet by the content of information they access. TDS consists of two main modules: a training module activated in batch mode, and an on-line detection module. The training module is provided with web pages that include terror related content and learns the typical interests of terrorists by applying data mining algorithms to the training data. The detection module performs real-time monitoring on users" traffic and analyzes the content of the pages they access. An alarm is issued upon detection of a user whose content of accessed pages is "too" similar to typical terrorist content. TDS feasibility was tested in a network environment. Its detection rate was better than the rate of a state of the art Intrusion Detection System based on anomaly detection. In this Paper we present an Neural based Self organization map algorithm in TDS, where the detection algorithm was enhanced to improve the detection and reduce the false alarms in Terrorist Detection System.

Keywords

Terrorist Detection System, Neural Network, Data Mining.

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R. Vinoth ¹, R. Shivramakrishnan ², M. Sivaji ³, P. TamilKumar ⁴, Binod Kumar ⁵, Shailesh Marker ⁶

Affiliations
1 Center for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Division of Plant Physiology, Indian Agricultural Research Institute, New Delhi, IN
3 Department of Plant Biotechnology, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
4 Department of Seed Science and Technology, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
5 Department of Plant Breeding and Genetics, Rajendra Agricultural University, Pusa Samastipur (Bihar), IN
6 Department of Genetics and Plant Breeding, Allahabad School of Agriculture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad (U.P.), IN

Abstract

An experiment was conducted to study the variability and association between characters in rice. 36 genotypes of rice were evaluated and obtain information on variability parameters and correlation analysis for 18 characters. Analysis of variance revealed high significant differences for all the 18 characters studied. Phenotypic co-efficient of variation (PCV) was higher than genotype co-efficient of variation (GCV) for all the characters indicating the little influence of environment on the characters. Number of unfilled grains per panicle had maximum GCV followed by grain yield per plant, harvest index, biological yield per plant, number of filled grains per panicle and grain L/B ratio. All the qualitative characters depicted high estimates of heritability, which indicates preponderance of additive gene action in the inheritance of these characters. High to moderate degree of genetic advance was observed for number of filled grains per panicle followed by biological yield per plant. Grain yield per plant showed positive and significant correlation with number of filled grains per panicle followed by harvest index, biological yield per plant and panicle length at phenotypic and genotypic level. Thus, these characters may serve as effective selection parameters during breeding programme for crop improvement.

Keywords

Variability, Heritability, Genetic Advance, Correlation Analysis, Rice.

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