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Sambasiva Rao, N.
- Laboratory Evaluation of Entomopathogenic Fungus Alone or in Combination with Edible Oils on Progeny Adult Build-up of Lesser Grain Borer on Stored Paddy
Abstract Views :370 |
PDF Views:1
Authors
Affiliations
1 Department of Entomology, Agricultural College Campus, Bapatla (A.P.), IN
2 Post Harvest Technology Centre, Agricultural College Campus, Bapatla (A.P.), IN
3 Microbiology Laboratory, Agricultural College Campus, Bapatla (A.P.), IN
1 Department of Entomology, Agricultural College Campus, Bapatla (A.P.), IN
2 Post Harvest Technology Centre, Agricultural College Campus, Bapatla (A.P.), IN
3 Microbiology Laboratory, Agricultural College Campus, Bapatla (A.P.), IN
Source
Asian Journal of Bio Science, Vol 9, No 2 (2014), Pagination: 139-145Abstract
The entomopathogenic fungi, Beauveria bassiana (2 × 106 conidia/g), Metarhizium anisopliae (1 × 109 conidia/g) and Lecanicillium lecanii (2 × 107 conidia/g) @ 5 g/l as bag treatment and 5g/kg of paddy as grain treatment alone, their interactions and the compatibility of entomopathogenic fungi @ 5g/kg with two vegetable oils (2 ml/kg) viz., sunflower oil and groundnut oil were tested against the progeny build-up of lesser grain borer, R. dominica. In the grain treatment, least progeny of 122.33 was observed with B. bassiana followed by M. anisopliae (130.67) which were at par at 180 DAT. Among the bag treatment, M. anisopliae recorded the lower progeny of 266.33 followed by B. bassiana (291.00) and L. lecanii (298.67) which were at par with each other but were significantly different from control (366.33). In the study of interaction effects, Beauveria + Metarhizium + Lecanicillium had recorded least progeny of 119.67 followed by Beauveria + Metarhizium (122.00) and were superior over all other treatments. In the study of compatibility of entomopathogenic fungi with edible oils, progeny build up recorded at 180 DAT was found to be less with Beauveria + Groundnut oil (118.33) followed by Metarhizium + Groundnut oil (121.33) compared to oils alone, sunflower (307.67) and groundnut (252.33) but were significantly different from control (517.00).Keywords
Beauveria, Lecanicillium, Metarhizium, Rhyzopertha dominica, Sunflower Oil
References
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- Batta, Y.A. (2005). Control of lesser grain borer [Rhyzopertha dominica (F.), Coleoptera: Bostrichidae] by treatments with residual formulations of Metarhizium anisoplea (Metschnikoff) Sorokin. J. Stored Products Res., 41(2): 221-229.
- El-Sebai, O.A. (2011). Laboratory assessment of entomopathogenic fungi Beauveria bassiana (Balsamo) to control the grain borer Rhyzopertha dominica (F.) on wheat kernels. J. Plant Protec. & Pathol., 2 (2): 225-237.
- Hafez, S.F. (2011). Efficacy of the entomopathogenic fungus Beauveria bassiana (Balsamo) against Tribolium confusum (Duval) on stored wheat flour. J. Plant Prot. & Pathol., 2(2): 203-211.
- Kavallieratos, N.G., Athanassiou, C.G., Michalaki, M.P., Batt, Y.A., Rigatos, A., Pashalidou, F.G., Balotis, N., Tomanovic, Z. and Vayias, B.J. (2006). Effect of the combined use of Metarhizium anisoplea (Metschinkoff) sorokin and diatomaceous earth for the control of 3 stored product beetles. Crop Prot., 25(10): 1087-1094.
- Khalequzzaman, M., Mahdi, S.H.A. and Osman Goni, S.H.M. (2007). Efficacy of edible oils in the control of pulse beetle, Callosobruchus chinensis L. in stored pigeonpea. Univ. J. Zoo., Rajshahi University, 26: 89-92.
- Padin, S., Dal Bello, G. and Fabrizio, M. (2002). Grain loss caused by Tribolium castaneum, Sitophilus oryzae and Acanthoscelides obtectus in stored durum wheat and beans treated with Beauveria bassiana. J. Stored Products Res., 38(1): 69-74.
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- Rice, W.C and Cogburn, R.R. (1999). Activity of the entomopathogenic fungus Beauveria bassiana (Deuteromycota: Hyphomycetes) against three coleopteran pests of stored grain. J. Econ. Entomol., 92(3): 691-694.
- Sabbour, M.M. and Shadia, E. (2007). Efficiency of some bioinsecticides against broad bean beetle, Bruchus rufimanus (Coleoptera: Bruchidae). Res. J. Agric. & Biol. Sci., 3(2): 67-72.
- Sheeba, G., Sundaram, S., Nagappan, R., Janarthanan, S. and Savarimuthu, I. (2001). Efficacy of Beauveria bassiana for control of the rice weevil Sitophilus oryzae (L.) (Coleoptera: Curculionidae). Appl. Entomol. & Zool., 36(1): 117-120.
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- Throne, J.E. and Lord, C.J. (2004). Control of sawtoothed grain beetles (Coleoptera: Silvanidae) in stored oats by using an entomopathogenic fungus in conjunction with seed resistance. J. Econ. Entomol., 97(5): 1765-1771.
- Wakefield, M.E. (2006). Factors affecting storage insect susceptibility to the entomopathogenic fungus Beauveria bassiana. 9th International Working Conference on Stored Product Protection. PS7-27-6250: 885-862.
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- Zimmermann, G. (2007a). Review on safety of the entomopathogenic fungi Beauveria bassiana and Beauveria brongniartii. Biocontrol Sci. & Tech., 17(6): 553-596.
- Zimmermann, G. (2007b). Review on safety of the entomopathogenic fungus Metarhizium anisopliae. Biocontrol Sci. & Tech., 17(9): 879-920.
- The Factors Influencing Consumer Buying Decision of Electronic Products
Abstract Views :267 |
PDF Views:235
Authors
Affiliations
1 Department of Commerce and Management Studies, Andhra University, Visakhapatnam, IN
2 Department of Management Studies, ASM-IBMR, Pune, IN
1 Department of Commerce and Management Studies, Andhra University, Visakhapatnam, IN
2 Department of Management Studies, ASM-IBMR, Pune, IN
Source
Management Dynamics, Vol 15, No 1 (2015), Pagination: 5-15Abstract
Consumer behaviour study is an effort to understand the buying tendencies of buyers for their end use. Consumer buying decisions direct how healthy the company's selling policy fits market demand. The persistent invention in electronic products accompanied by great price war followed by various opponent products available in every market, has commanded sellers to focus on the consumers' buying behaviour. This study examines the effect of influencing determinants on consumer buying decision of electronic products amongst different socio-demographic profiles. The comprehensive analysis indicates that social and personal factors are strongly associated with the consumer buying decision of consumers which supports our previous study on similar ground and situational determinant is the new which play almost parallel role. The result also helps manufacturers and dealers in understanding consumer buying behaviour and assist in improvement on buyer gratification. It was recommended that sellers should take cognizance of the fact that socio-personal factors are the fundamental determinants of buyers' want and behavior and should therefore be considered when producing electrical products for semi-urban markets.Keywords
Influencing Determinants, Consumer Buying Decision, Consumer Behaviour.Full Text
- Providing File Surveillance to Actively Search for Files by Querying Structured Peer to Peer Overlay Systems
Abstract Views :174 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science and Engineering, Hyderabad 501 218, Telangana State, IN
2 Sumathi Reddy Womens Engineering College, Warangal, Telangana State, IN
1 Department of Computer Science and Engineering, Hyderabad 501 218, Telangana State, IN
2 Sumathi Reddy Womens Engineering College, Warangal, Telangana State, IN
Source
Oriental Journal of Computer Science and Technology, Vol 8, No 1 (2015), Pagination: 20-23Abstract
In a peer to peer system searching a file in each and every node it is very difficult. These days everybody using file sharing, and video streaming. So here while sharing or downloading a file there may be loss of data in the file. To avoid all these problems I proposed a concept providing file surveillance to actively search for files by using query performance in structured peer to peer overlay systems. using querying performance in structured overlay peer to peer systems if any node is leaving dynamically data should not loss.Keywords
Peer to Peer, Surveillance, Searching.Full Text
- Development of Dining Ontology Based On Image Retrieval
Abstract Views :94 |
PDF Views:0
Authors
Affiliations
1 Department of Information Technology, R.V.S College of Engineering and Technology, Dindigul, Tamilnadu, IN
2 Vardhaman College of Engineering and Technology, Shamshapad, Hyderabad, IN
3 Department of Computer Science Engineering, Madras Institute of Technology, Chennai, IN
1 Department of Information Technology, R.V.S College of Engineering and Technology, Dindigul, Tamilnadu, IN
2 Vardhaman College of Engineering and Technology, Shamshapad, Hyderabad, IN
3 Department of Computer Science Engineering, Madras Institute of Technology, Chennai, IN
Source
International Journal of Scientific Engineering and Technology, Vol 2, No 6 (2013), Pagination: 560-566Abstract
This paper presents an Ontology development based on images. A set of question patterns, called predictive questions, which are predicted to be asked by users in a domain, were generated on the basis of a domain ontology. Their corresponding query templates, which can be used to extract answers to the predictive questions from a knowledge base, were generated as well. The process of producing these question patterns and query templates is described.
To retrieve images from a database using pattern matching techniques, but usually, textual descriptions attached to the images are used. Semantic web ontology and metadata languages provide a new way to annotating and retrieving images. This paper considers the situation when a user is faced with an image repository whose content is complicated and semantically unknown to some extent. We show how
ontologies can then be of help to the user in formulating the information need, the query, and the answers. As a proof of the concept, we have shown photos of restaurant. In this system, images are annotated according to ontologies When generating answers to the queries, the ontology combined with the image data also facilitates. In survey of the technical achievements in the research area of Image Retrieval, is especially Content-Based Image Retrieval.The survey covers image feature representation and extraction, multi-dimensional indexing, and system design.
Keywords
Content-Based Image Retrieval, Ontology, RDF, Semantic Web, Query Template.Full Text