Temperature-based phenology modeling and GIS-based risk mapping: A tool for forecasting potential changes in the abundance of Mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae).

Thumbnail

Authors
Date
2015
Language
en
Type
Book Chapter
Review status
Peer Review
Accessibility
Restricted Access
Metadata
Show full item record
Share
Citation
Fand, B.B.; Tonnang, H.E.Z.; Kumar, M.; Kamble, A.L.; Bal, S.K. 2015. Temperature-based phenology modeling and GIS-based risk mapping: A tool for forecasting potential changes in the abundance of Mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae). In: Chakravarthy, A.K. (ed). New horizons in insect science: Towards sustainable pest management. New Delhi (India). Springer. ISBN 978-81-322-2088-6. pp. 419-431. http://dx.doi.org/10.1007/978-81-322-2089-3_37.
Permanent link to cite or share this item: http://hdl.handle.net/10568/67165
DOI: https://dx.doi.org/10.1007/978-81-322-2089-3_37
Abstract/Description
Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) is a highly invasive and a polyphagous pest of worldwide importance. Its recent outbreak and rapid spread in Indian cotton growing belt caused large scale devastation. A study was undertaken with a basic assumption that the future distribution and abundance of P. solenopsis will be affected seriously by temperature alterations due to global climate change, which might further aggravate the yield losses. This chapter describes a temperature-dependent simulation model predicting population growth potential of P. solenopsis under varied environmental conditions.
AGROVOC Keywords
Collections