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Yadav, Sunita
- Searching Gapped Palindromes in DNA Sequences using Dynamic Suffix Array
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1 Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad - 201009, Uttar Pradesh, IN
2 Department of Computer Science, Yobe State University, Damaturu, NG
1 Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad - 201009, Uttar Pradesh, IN
2 Department of Computer Science, Yobe State University, Damaturu, NG
Source
Indian Journal of Science and Technology, Vol 8, No 23 (2015), Pagination:Abstract
Background/Objectives: In the biological sequences, palindromes can create structures that differ from the common structure of non-palindromic sequences. Unfortunately, mutations introduced by evolutionary methods, make it difficult to search the palindromes in DNA sequences. Methods/Statistical Analysis: The mutations occur in DNA sequences with spacer (i.e. set of characters). One version of such algorithms has been intended to search for palindromes with gaps (i.e. spacer) - gapped palindromes. The concept of Dynamic Suffix Array (DSA) is used to propose algorithms to search two classes of gapped palindromes-length constrained and long armed. DSA modifies the previous built suffix arrays when there is insertion and deletion of a new character, due to which efficiency is improved. DNA datasets obtained from National Centre for Biotechnology Information (NCBI) is taken as input. The execution time, palindrome weight and length of palindrome arms and spacer are analysed. Findings: Our proposed algorithms search maximal length constrained and long armed gapped palindromes in DNA sequences efficiently. Time complexity of our proposed algorithms is O(n), where n is input parameters. Also, we compute palindrome weights in the DNA sequences. For length constrained gapped palindromes, our proposed algorithm is compared with existing one. The existing algorithm uses only suffix array. Experimental Observations reveal that by the use of DSA, execution time of our algorithm on different DNA sequences has been improved by maximum 57.89%. It also shows a decrease in the execution time over existing approach, proving our designed algorithm is space efficient, faster and easy to implement. Applications/Improvement: Our algorithms analyze short DNA sequences easily. These algorithms can be executed and tested on standard DNA and datasets with large number of base pairs.Keywords
Dynamic Suffix Array, Gapped Palindromes, Length Constrained, Long Armed, Palindromes- Social Network Analysis using Interest Mining: A Critical Review
Abstract Views :189 |
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Authors
Affiliations
1 Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College UPTU, Ghaziabad - 201009, Uttar Pradesh, IN
1 Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College UPTU, Ghaziabad - 201009, Uttar Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 16 (2016), Pagination:Abstract
Background/Objectives: Social Networking has been entertaining people for sharing their common ideas and proposals which are analyzed through social relations among them. The problem in the field of social network analysis is the absence of adequate computing resources to handle huge amount of data on World Wide Web. Therefore, users are unable to gather needed information correctly and thereby, the aim is to locate right information at the right time and delivering it to distinct group of people. Methods: Present paper gives the insight into the existing deployment of social network analysis and various ranking techniques which have been devised by various researchers for the social networking capabilities over the network. In order to accomplish the aim, virtual environment can be created for social network analysis. This analysis can be performed by various mining methods such as opinion mining, expert mining, etc. and ranking techniques like object average rating, neighbour variance rating, random rating and many more. Although these techniques optimize the information overload problem accordingly, still there is a need for expert identification. Findings: The future enhancement for social network analysis includes collaborative thinking. Social Network Analysis gathers people having similar interest by creating collaboration among users. This collaboration leads to resource sharing in an efficient manner after the creation of virtual environment. Furthermore, the field of social network analysis may take a turn to link analysis and its various algorithms like Page Rank, Weighted Page Rank and Weighted Page Content Rank which will further help in finding the expert and enhances the information effectively. Application/Improvements: The application to social network analysis is to discover the network of innovators in a regional economy, enhancing dark web analysis and spam behaviour detection. The arduous task of expert identification is an upcoming trend that can be implemented through virtual environment.Keywords
Expert Mining, Interest Mining, Social Network, Virtual Community, Web 2.0- Structural Changes in India's Trade of Pulses:A Markov Approach
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Authors
Affiliations
1 Department of Agricultural Economics, CCS Haryana Agricultural University, Hisar, Haryana, IN
1 Department of Agricultural Economics, CCS Haryana Agricultural University, Hisar, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 7, No 3 (2017), Pagination: 438-441Abstract
To access the growth and structural changes taking place in pulses area, production, productivity and trade aspects this analysis was carried out for a period of 10 years ranging from 2007-08 to 2016-17. It was done by calculating compound and simple growth statistics and by developing separate transitional matrix for exports and imports. Results regarding area, production, productivity, collective quantity and value of exports exhibited 1.88 percent, 3.63 percent, 1.71 percent,5.45 percent and 3.23 percent rate of compound growth rate respectively. Markov Chain analysis was attempted through linear programming method to assess the transition probabilities for the major pulses export markets of Indian pulses and nations importing pulses to India. The major Indian pulses export markets were categorized as stable market (UAE) and unstable markets (Pakistan & Saudi Arab) based on the magnitude of transition probabilities. The import transition matrix also brought forward Canada and Myanmar as most trusted and Australia & USA as most unstable suppliers of Indian pulses imports. In conclusion, the growth in production (3.63 %) of the world's largest producer was far behind the simultaneous growth in import quantity (17.12%).Keywords
Markov, Pulses, Export Direction, Structural Change.References
- Agricultural and Processed Food Products Export Development Authority, (APEDA) (2013). http://agriexchange.apeda.gov.in/product_profile/prd_profile.aspx?category code=0504 Food and agricultural Organisation Statistics.
- Hugar L B., 2002, Onion Export Markets and Their Stability for Increasing India's Exports: Markov Chain Approach. Artha-Vikas, XXX(VII), 1-9.
- Krishnadas, M. (2010). Production and export performance of major Indian spices an economic analysis. Thesis submitted to Department of agricultural economics the university of agricultural sciences, Dharwad.
- Kumar, P, Badal, P. S., & Achoth, L. (2007). Changing direction of Indian mango exports. Indian Journal of Agricultural Marketing, 21(1), 129-135.
- Martolia, R. (2016). Dynamics of pulse production and trade in India. Institute of Agricultural Sciences, Banaras Hindu University, PhD Thesis, Report No. P0061.
- Siddeshwar, S., Shiraganvi, & Guledagudda, S. S. (2017). Analysis of chickpea export markets of India-Markov chain approach. International Journal of Current Research, 9(2), 46542-46544.
- Srivastavaa,S. K., Sivaramaneb, N., & Mathura, V. C. (2010). Diagnosis of pulses performance of India. Agricultural Economics Research Review, 23, 137-148.
- Diversity and Abundance of Flower Visiting Insects Associated with Sesame
Abstract Views :79 |
PDF Views:60
Authors
Affiliations
1 Department of Entomology, CCS Haryana Agricultural University, Hisar 125004, Haryana, IN
1 Department of Entomology, CCS Haryana Agricultural University, Hisar 125004, Haryana, IN
Source
Indian Journal of Entomology, Vol 84, No 1 (2022), Pagination: 77-81Abstract
A field experiment was conducted at the Research farm of Department of Entomology, CCS Haryana Agricultural University (CCSHAU) Hisar, Haryana to determine the diversity and abundance of insect pollinators on two varieties of sesame HT-1 and HT-2 during 2017 and 2018. A total of 34 insect species belonging to 18 families from four orders were observed. Of these Apis dorsata (4.76 bees/ m²/ 5 min; 26.92% of total flower visitors) followed by A. mellifera (2.34 bees/ m²/ 5 min), M. lanata (2.23 bees/ m²/ 5 min) and A. florea (1.32 bees/ m²/ 5 min) were predominant. Peak activity of the insect visitors was observed at 1000-1200 hr of the day.Keywords
Sesame, Pollination, Insect Visitors, Diversity, Hymenopterans, Coleopterans, Lepidopterans, Honey Bees, Solitory Bees, Relative Abundance, Peak Activity.References
- Anonymous. 2017. Agricultural statistics at a glance 2017. Controller of publications, Government of India, Ministry of Agriculture & Farmers Welfare, Department of Agriculture, Cooperation & Farmers Welfare, Directorate of Economics and Statistics. 544 pp.
- CCSHAU. 2017. Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana. Sesame. Package of practices of kharif crops, Astral Publication. 139-144 pp.
- Chandran N. 2009. Evaluation of indigenous bee attractants in enhancing the yield of sesame and niger. M Sc Thesis, University of Agricultural Sciences, Dharwad, India. 67 pp.
- Chaudhary O P, Chand R. 2017. Economic Benefits of Animal Pollination to Indian Agriculture. Indian Journal of Agricultural Sciences 87: 1117-1138.
- FAO. 2017. Food and Agriculture Organization of the United Nations. FAOSTAT Statistical Database, http://www.fao.org/faostat/en, accessed on 13 March 2019.
- Free J B.1993. Insect Pollination of Crops. Academic Press, London. 684 pp.
- Kamel S M, Blal A H, Mahfouz H M, Said M. 2013.The Most common insect pollinator species on sesame crop (Sesamum indicum L.) in Ismailia Governorate, Egypt. Arthropods 2: 66-74.
- Kearns C A, Inouye D W, Waser N M. 1998. Endangered mutualisms: The conservation of plant-pollinator interactions. Annual Review of Ecology and Systematics 29: 83-112.
- Klein A M, Vaissiere B E, Cane J H, Steffan-Dewenter I, Cunnigham S A, Kremen C Tscharntke T. 2007. Importance of pollinators in changing landscapes for world crops. Proceedings of the Royal Society 274: 303-313.
- Mahfouz H M, Kamel S M, Belal A H, Said M. 2012. Pollinators visiting sesame (Sesamum indicum L.) Seed crop with reference to foraging activity of some bee species. Cercetari Agronomice in Moldova 45: 49-55.
- Mishra R M. 1994. Effect of honey bee (Apis mellifera L.) pollination on the yield of sesamum and its oil Content. M Sc Thesis, Orissa University of Agriculture and Technology, Bhubaneswar.
- Mohapatra L N, Sontakke B K. 2012. Behavioural studies on pollinators in sesamum. Indian Journal of Entomology 74: 189-192.
- Nagpal K. 2016. Role of Apis spp. Pollination in quality seed production of Indian mustard. M Sc Thesis, Chaudhary Charan Singh Haryana Agricultural University, Hisar, India. 74 pp.
- Pashte V V, Shylesha A N. 2013a. Pollinators diversity and their abundance on sesamum. Indian Journal of Entomology 75: 260-262.
- Pashte V V, Shylesha A N. 2013b. Pollen and nectar foraging activity of honey bees in sesamum. Indian Journal of Entomology 75: 124-126.
- Patil B. 1999. Role of bee pollinators in enhancing productivity and quality of sesamum. M Sc Thesis, University of Agricultural Sciences, Dharwad.
- Reddy P R, Rashmi T, Verghese A. 2015. Foraging activity of Indian honey bee Apis cerana, in relation to ambient climate variables under tropical conditions. Journal of Environmental Biology 36: 577-581.
- SachdevaY, Bhatnagar P, Gulati R. 2003. Relative abundance and foraging behaviour of Apis spp. on sesamum (Sesamum indicum) flowers. Annals of Plant Protection Sciences 11: 281-284.
- Said M, Kamel S M, Mahfouz A B H. 2013. Impacts of insect pollination on sesame production. Lambert Academic Publishing, Germany. 92 pp.
- Sajjanar M S, Eshwarappa G. 2015. Bee pollination in crop production of sesame (Sesamum indicum L.). Mysore Journal of Agricultural Sciences 49: 703-707.
- Sarker A M. 2004. Effect of honey bee pollination on the yield of rapeseed, mustard and sesame. Geobios 31: 49-51.
- Sheoran O P, Tonk D S, Kaushik L S, Hasija R C, Pannu R S. 1998. Statistical Software Package for Agricultural Research Workers. Hooda D S, Hasija R C (eds). Recent Advances in Information Theory, Statistics and Computer Applications. 139-143 pp.
- Stein K, Coulibaly D, Stenchly K, Goetze D, Porembski S, Lindner A, Konaté S, Linsenmair E K. 2017. Bee pollination increases yield quantity and quality of cash crops in Burkina Faso, West Africa. Scientific Reports 7: 1-10.
- Ecofriendly Management of Major Insect Pests of Stored Maize
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Authors
Affiliations
1 Department of Entomology, CCS Haryana Agricultural University, Hisar 125004, Haryana, IN
1 Department of Entomology, CCS Haryana Agricultural University, Hisar 125004, Haryana, IN
Source
Indian Journal of Entomology, Vol 84, No 2 (2022), Pagination: 312-316Abstract
The laboratory experiments were conducted during 2017-2018 and 2018-2019 to study the efficacy of seed protectants namely fly ash, paddy husk and it’s ash, turmeric powder, silica gel, neem leaves and oil, eucalyptus leaves and oil, canola oil and boric acid against rice weevil Sitophilus oryzae (L.) and lesser grain borer Rhyzopertha dominica (F.) and khapra beetle Trogoderma granarium Everts on stored maize (genotype HQPM 1). The results revealed that neem oil was the most ecofriendly treatment against S. oryzae with 94.76% adult mortality, 12.54x population growth after 6 months and 0% grain damage (pooled data). In case of R. dominica, maximum mortality (91.90%) and 0% grain damage was observed in neem oil but minimum growth (12.44-) value was observed for canola oil. The neem oil was also found effective against T. granarium (92.83% mortality; 0% grain damage), and the least (60.04 larval growth was observed with canola oil. Neem oil showed maximum (80%, 80% and 86.67%) repellency against S. oryzae, R. dominica and T. granarium, respectively which was followed by eucalyptus oil. The neem oil showed 86% germination which was followed by eucalyptus oil (84%). The boric acid showed adverse effects on germination of maize seeds.Keywords
Sitophilus oryzae, Rhyzopertha dominica, Trogoderma granarium, maize, seed protectants, neem oil, canola oil, eucalyptus oil, damage, growth rate, repellency, germinationReferences
- Abass A B, Ndunguru G, Mamiro P, Alenkhe B, Mlingi N, Bekunda M. 2014. Post-harvest food losses in a maize-based farming system of semi-arid savannah area of Tanzania. Journal of Stored Products Research 57: 49-57.
- Abbott W S. 1925. A method of computing the effectiveness of an insecticide. Journal of Economic Entomology 18: 265-267.
- Abdul-Baki A A, Anderson J D. 1973. Physiological and biochemical deterioration of seed biology. T T Koziowski (ed). Academic Press, New York. 283-315 pp.
- Adarkwah C, Obeng-Ofori D, Buttner C, Reichmuth C, Scholler M. 2010. Bio-rational control of red flour beetle Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae) in stored wheat with Calneem oil derived from neem seeds. Journal of Pesticide Science 83: 471-479.
- Akter A, Talukder S, Akter T, Akter M, Uddin M J. 2015. Assessment of neem products for management of rice weevil (Sitophilus Oryzae L.) in stored rice grain. International Journal of Research and Review 2454-2237.
- Anonymous. 2018. Maize Vision 2022: A knowledge report. Federation of Indian Chambers of Commerce and Industry. 33 pp.
- Arnaud L, Haubruge E. 2002. Insecticide resistance enhances male reproductive success in a beetle. Evolution 56: 2435-2444.
- Dakshinamurthy A, Goel S C. 1992. Insect management in grain and seed storage of wheat using non-hazardous materials. Proceedings. National symposium on growth, development. Centre Technology of Insect Pests. 265-68 pp.
- Dayal R, Tripathi R A, Renu R. 2003. Comparative efficacy of some botanicals as protectant against Sitophilus oryzae in rice and its palatability. Annals of Plant Sciences 11(1): 160-162.
- Dey D, Sarup P. 1993. Feasibility of protecting maize varieties with vegetable oils to save losses in storage due to Sitophilus oryzae (Linnaeus). Journal of Entomological Research 17: 1-15.
- Dubey S C, Suresh M, Singh B. 2007. Evaluation of Trichoderma species against Fusarium oxysporum f. sp. Ciceris for integrated management of chickpea wilt. Biological Control 40(1): 118-127.
- Hameed A, Freed S, Hussain A, Iqbal M, Hussain M, Naeem M, Sajjad A, Hussnain H, Sadiq M A, Tipu A L. 2012. Toxicological effects of neem (Azadirachta indica), Kanair (Nerium oleander) and spinosad (Tracer 240 SC) on the red flour beetle (Tribolium castaneum) (Herbst.). African Journal of Agricultural Research 7(4): 555-560.
- Jakhar B L. 2004. Bio-ecology and management of khapra beetle, Trogoderma granarium Everts on wheat. Ph D Thesis. Rajasthan Agricultural University, Bikaner.
- Jakhar B L, Jat S L. 2010. Efficacy of plant oils as grain protectants against khapra beetle, Trogoderma granarium everts in wheat. Indian Journal of Entomology 72 (3): 205- 208.
- Jood S, Kapoor A C. 1993. Protein and uric acid contents of cereal grains as affected by insect infestation. Food Chemistry 46 (2): 143-146.
- Ketkar C M. 1986. Use of tree derived non-edible oils as surface protectants against Callosobruchus maculatus and Callosobruchus chinensis. Natural pesticides from neem tree and other tropical plants. Proceedings. 3rd International neem conference, Nairobi, Kenya.
- Kumar A, Gupta S. 2013. Repellent and antifeedant activity of neem and amla against two stored grain pests viz. Tribolium castaneum and Trogoderma granarium. Journal of Entomological Research 37(4): 301-306.
- Kumar R, Mishra A K, Dubey N K, Tripathi Y B. 2007. Evaluation of Chenopodium ambrosioides oil as a potential source of antifungal, antiaflatoxigenic and antioxidant activity. International Journal of Food Microbiology 115 (2): 159-164.
- Leelaja B C, Rajashekar Y, Vanitha Reddy, Begum K, Rajendran S. 2007. Enhanced fumigant toxicity of allyl acetate to stored-product beetles in the presence of carbon dioxide. Journal of Stored Products Research 43(1): 45-48.
- Mason L J, McDonough M. 2012. Biology, behavior, and ecology of stored grain and legume insects. Hagstrum DW, Phillips, TW, G. Cuperus G (eds.). Stored product protection. Kansas State University agricultural experiment station and cooperative extension service. 358 pp.
- McDonald L L, Guy R H, Speirs R D. 1970. Preliminary evaluation of new candidate materials as toxicants, repellents and attractants against stored product insects. Marketing Research Report Number 882, Agricultural Research Service, Washington, Department of Agriculture, USA. 8 pp.
- Mishra B B, Tripathi S P, Tripathi C P M. 2012. Repellent effect of leaves essential oils from Eucalyptus globulus (Mirtaceae) and Ocimum basilicum (Lamiaceae) against two major stored grain insect pests of Coleopterons. Nature and Science 10 (2): 50-54.
- Negahban M, Moharramipour S. 2007. Fumigant toxicity of Eucalyptus intertexta, Eucalyptus sargentii and Eucalyptus camaldulensis against stored-product beetles. Journal of Applied Entomology 131(4): 256-261.
- Nukenine E N, Tofel H K, Adler C. 2011.Comparative efficacy of NeemAzal and local botanicals derived from Azadirachta indica and Plectranthus glandulosus against Sitophilus zeamais on maize. Journal of Pest Science 84: 479-86.
- Rajashekar Y, Reddy P V, Begum K, Leelaja B C, Rajendran S. 2006. Studies on aluminium phosphide tablet formulation. Pestology 30(4): 41-45.
- Shanmugapriyan R, Kingly S. 2001. Bio-efficacy of neem oil on larvae of bitter gourd beetle Epilachna vigintioctopunctata. Journal of Environmental Monitoring 11(3&4): 10-13.
- Sharma R K. 1999. Efficacy of neem products against storage pests in maize. Annals of Agricultural Research 20: 198-201.
- Singh S, Sharma D K, Gill R S. 2016. Evaluation of three plant oils for the control of lesser grain borer, Rhyzopertha dominica (Fabricius) in stored wheat. Journal of Insect Science 29: 162-169 Steel R G D, Torrie J G. 1980. Principles and procedures of statistics, McGraw Hill Book Inc., New York.
- Tripathi K K, Warrier R, Govila O P, Ahuja V. 2011. Biology of Zea mays “maize”. Department of Biotechnology, Ministry of Science and Technology and Ministry of Environment and forests, Government of India. 1-2 pp.
- Yadav U, Tiwari R. 2017. Eco-friendly management of Sitophilus oryzae and Rhyzopertha dominica in stored wheat at Pantnagar, Uttarakhand. Journal of Applied and Natural Science 9 (2): 736-743.
- Foraging Speed of Castor Pollinators
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Authors
Affiliations
1 Centurion University of Technology and Management, Bhubaneswar - 752050, Odisha, IN
2 CCS Haryana Agricultural University, Hisar - 125004, Haryana, IN
1 Centurion University of Technology and Management, Bhubaneswar - 752050, Odisha, IN
2 CCS Haryana Agricultural University, Hisar - 125004, Haryana, IN
Source
Indian Journal of Entomology, Vol 84, No 4 (2022), Pagination: 854-858Abstract
The collected amount of nectar and pollen by the insect pollinators mainly depends upon the time spent on individual flowers referred to as the foraging speed. An experiment conducted at Department of Entomology, CCS Haryana Agricultural University, Hisar, Haryana evaluated the foraging speed of different insect pollinators on flowers of castor Ricinus communis cv. GCH-7 and DCH-177. Apis cerana F. was observed with maximum foraging speed (6.26 sec/ flower) followed by Apis mellifera L. (5.12 sec/ flower), Apis dorsata F. (4.20 sec/ flower), Apis florea F. (3.74 sec/ flower). The least foraging speed was observed with Xylocopa iridipennis Lepeletier (2.67 sec/ flower). Data taken at different time interval in a day indicated that the peak foraging speed of pollinators is between 10.00- 12.00 hr, while the least one was at 16.00-18.00 hr.Keywords
Castor, Ricinus communis, pollinators, foraging speed, honey bees, Apis spp., Xylocopa iridipennis, peak activity, foraging behaviour.References
- Abrol D P. 2016. Foraging strategies in honeybees, Apis dorsata F. and Apis florea F. in relation to availability of energy rewards. Journal of Apiculture 31(1): 9-18
- Ahmad M, Bodlah I, Mehmood K, Sheikh U A, Aziz M A. 2015. Pollination and foraging potential of European bumble bee, Bombus terrestris (Hymenoptera: Apidae) on tomato crop under greenhouse system. Pakistan Journal of Zoology 47: 1279- 1285.
- Ahmad S B, Dar S A, Pandith B A. 2017. Comparative foraging behaviour of honey bees, Apis cerana F. and Apis mellifera L. (Hymenoptera, Apidae) on apple bloom. Journal of Entomology and Zoology Studies 5(1): 474-482.
- Blaauw B R, Isaacs R. 2014. Flower plantings increase wild bee abundance and the pollination services provided to a pollination dependent crop. Journal of Applied Ecology 51: 890-898.
- Brunet J. 2009. Pollinators of the Rocky Mountain columbine: temporal variation, functional groups and associations with floral traits. Annals of Botany 103(9): 1567-1578.
- Das R, Jha S, Halder A. 2019. Insect pollinators of litchi with special reference to foraging behaviour of honey bees. Journal of Pharmacognosy and Phytochemistry 8: 396-401.
- Devi S, Ombir, Sumit, Singh Y. 2016. Abundance and foraging behaviour of major insect pollinators on seed crop of broccoli (Brassica oleracea L. var. Plenck) LPH-1. Journal of Applied and Natural Science 8(3): 1493-1496.
- Eeraerts M, Smagghe G, Meeus I. 2019. Pollinator diversity, floral resources and semi-natural habitat, instead of honey bees and intensive agriculture, enhance pollination service to sweet cherry. Agriculture, Ecosystems and Environment 284 (1): 65-86.
- Jat M K, Chaudhary O P, Tetarwal A S. 2017. Foraging behaviour and pollination efficiency of floral visitors on Egyptian clover, Trifolium alexandrinum L. Forage Research 42(4): 225-232.
- Lalita L, Kumar Y. 2017. Foraging behavior of major insect pollinators on Pumpkin, Cucurbita moschata (Duch. ex Lam). Journal of Applied and Natural Science 9(3):1603-1607.
- Mohapatra L N, Sontakke B K. 2012. Behavioural studies on pollinators in sesame. Indian Journal of Entomology 74: 189-192.
- Nagpal K, Yadav S, Kumar Y, Singh R. 2020. Foraging speed of different Apis spp. on Indian mustard (Brassica juncea) flowers. Journal of Entomology and Zoology Studies 8(2): 628-632
- Nayak R K, Rana K, Sharma H K, Singh P, Thakur S, Yankit, P. 2019. Foraging behaviour of bumble bees (Bombus haemorrhoidalis Smith) and honey bees (Apis mellifera L.) on kiwifruit (Actinidia deliciosa Chev.). International Journal of Current Microbiology and Applied Sciences 8(5): 2043-2051.
- Nayak S B, Kumar Y, Yadav S, Sankara K. 2020. Percentage abundance of castor pollinators under Haryana condition. International Journal of Fauna and Biological Studies 7(6): 49-52.
- Negussie A, Achten M W, Verboven A H, Hermy M, Muys B. 2013. Potential pollinators and floral visitors of introduced tropical biofuel tree species Jatropha curcas L. (Euphorbiaceae), in Southern Africa. African Crop Science Journal 21(2): 133-142.
- Poonam. 2019. Nectar secretion rhythms and foraging behaviour of honey bees in early sown rapseed mustard genotypes. M Sc Thesis. Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana. 75 pp.
- Rao K S. 2019. Role of insect pollinators towards yield attributing parameters of Sesame (Sesamum indicum Linnaeus). PhD Thesis. Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana. 99 pp.
- Rianti P, Suryobroto B, Atmowidi T. 2010. Diversity and effectiveness of insect pollinators of Jatropha curcas L.(Euphorbiaceae). HAYATI Journal of Biosciences 17(1): 38-42.
- Rollin O, Garibaldi L A. 2019. Impacts of honeybee density on crop yield: A meta-analysis. Journal of Applied Ecology 56(5): 1152-1163. Singh A K. 2016. Insect pollinators of sweet orange and their attributes. Indian Journal of Entomology, 78(1): 46- 50.
- Yankit P. 2016. Studies on bumble bee pollination in tomato (Solanum lycopericum Mill.) under protected condition. M Sc Thesis, Department of Entomology, Dr Y S Parmar University of Horticulture and Forestry, Nauni, Solan.