Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-06T10:14:34.722Z Has data issue: false hasContentIssue false
  • English
  • Français

Advanced prediction to facilitate biocontrol of the mealybug Rastrococcus iceryoides (Hemiptera: Pseudococcidae) in organic mango (Anacardiaceae) orchards

Published online by Cambridge University Press:  18 September 2017

Nagalakshmi R Gujjar Open the ORCID record for Nagalakshmi R Gujjar [Opens in a new window] ,
Abraham Verghese ,
Devi Thangam Suresh ,
Rakshitha Mouly  and
Sunil Joshi
Nagalakshmi R Gujjar
Affiliation:
Jain University, Bengaluru 560011, Karnataka, India ICAR, National Bureau of Agricultural Insect Resources, Bengaluru 560024, Karnataka, India
Abraham Verghese*
Affiliation:
GPS Institute of Agricultural Management, Bengaluru 560058, Karnataka, India
Devi Thangam Suresh
Affiliation:
ICAR, National Bureau of Agricultural Insect Resources, Bengaluru 560024, Karnataka, India
Rakshitha Mouly
Affiliation:
Jain University, Bengaluru 560011, Karnataka, India ICAR, Indian Institute of Horticultural Research, Bengaluru 560089, Karnataka, India
Sunil Joshi
Affiliation:
ICAR, National Bureau of Agricultural Insect Resources, Bengaluru 560024, Karnataka, India
*
1Corresponding author (e-mail: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Predicting mango mealybug, Rastrococcus iceryoides (Green) (Hemiptera: Pseudococcidae), populations in an organic mango (Mangiferaindica Linnaeus; Anacardiaceae) ecosystem well in advance with reasonable accuracy, will facilitate biological control. In this study, an attempt was made to predict the population of mango mealybug using abiotic weather parameters as independent variables. The study was conducted at the Indian Council of Agricultural Research – Indian Institute of Horticultural Research, Bengaluru, India (12°8'N; 77°35'E). Among the abiotic variables, maximum temperature was found relevant for predicting the population of the mealybug based on significant correlations. It was found that a prediction model using maximum temperature as independent variable with R2 is most ideal. This prediction model, when considered three to four weeks in advance of an infestation, could help farmers to gear up with biological control.

Type
Behaviour & Ecology—Note
Information
The Canadian Entomologist , Volume 150 , Issue 1 , February 2018 , pp. 116 - 119
Copyright
© Entomological Society of Canada 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Subject editor: Justin Schmidt

References

Agricultural and Processed Food Products Export Development Authority. 2015. Agricultural and Processed Food Products Export Development Authority [online]. Available from http://apeda.gov.in/apedawebsite/SubHead_Products/Mango.htm [accessed 2 November 2016].Google Scholar
Kairo, M.T.K., Paraiso, O., Gautam, R.D., and Peterkin, D.D. 2013. Cryptolaemus montrouzieri (Mulsant) (Coccinellidae: Scymninae): are view of biology, ecology and use in biological control with particular reference to potential impact on non-target organisms. CAB Reviews, 8: 1–20.Google Scholar
Little, T.M. and Hills, F.J. 1978. A textbook of agricultural experimentation: design and analysis. Wiley Publishers, New York, New York, United States of America.Google Scholar
Mani, M., Krishnamoorthy, A., and Pattar, G. L. 1995. Biological control of the mango mealybug, Rastrococcus iceryoides (Green) (Homoptera: Pseudococcidae). Pest Management in Horticultural Ecosystems, 1: 15–20.Google Scholar
Singh, S.P. 1995. Technology for production of natural enemies. Technical Bulletin 4. Project Directorate of Biological Control, Bangalore, India.Google Scholar
Suresh, S. and Kavitha, P.C. 2008. Seasonal incidence of economically important coccid pests in Tamil Nadu. In Proceedings of the XIth International symposium on scale insect studies conference, Oeiras (Portugal), 24–27 September 2007. Edited by M. Branco, J.C. Franco, and C.J. Hodgson. ISA Press, Lisbon, Portugal. Pp. 285–291.Google Scholar
Tandon, P.L. and Verghese, A. 1985. World list of insects, mite and other pests of mango. Technical Document 5. Indian Institute of Horticultural Research, Bangalore, India.Google Scholar
Williams, D.J. 2004. Mealybugs of southern Asia. The Natural History Museum, London, United Kingdom.Google Scholar
Supplementary material: PDF

Gujjar et al supplementary material

Table S1

Download Gujjar et al supplementary material(PDF)
PDF 67.3 KB