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    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).

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    Authors
    Fand, B.B.
    Tonnang, H.E.Z.
    Kumar, M. Dinesh
    Kamble, A.L.
    Bal, S.K.
    Date
    2015
    Language
    en
    Type
    Book Chapter
    Review status
    Peer Review
    Accessibility
    Limited Access
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    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
    GEOGRAPHICAL INFORMATION SYSTEMS; ENTOMOLOGY; PHENACOCCUS; PHENOLOGY; RISK ASSESSMENT
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