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        <dc:title>Target Population Environments and Pest Distribution Modelling: An Approach towards Pest Prioritization and Preparedness</dc:title>
        <dc:creator>Sharma, M</dc:creator>
        <dc:creator>Ramanagouda, G</dc:creator>
        <dc:creator>Sharath Chandran, U S</dc:creator>
        <dc:creator>Kholova, J</dc:creator>
        <dc:creator>Irshad Ahmed, M</dc:creator>
        <dc:subject>Pest Management</dc:subject>
        <dc:subject>Plant Disease</dc:subject>
        <dc:description>The transboundary crop pest and disease (P&amp;D) outbreaks over large geographical regions jeopardizes the food security and have broad economic, social and environmental impacts. The upsurge of new crop P&amp;D, such as fall armyworm; cassava mosaic and brown streak virus; banana fusarium wilt tropical race 4 and wheat stem rust Ug99 are having serious repercussions on agriculture. Climate change is, in part, responsible for food chain catastrophes arising from these transboundary P&amp;D. However, there is clear evidence that climate change impacts are altering the distribution of crop P&amp;D. Such accelerated events require more attention on a greater scale to strengthen food security and protect the livelihoods of poor and most vulnerable countries of the world. A well-defined P&amp;D ranking and distribution will focus on supporting policy-making, integrated P&amp;D management as well as tangible pre-emptive breeding strategies at large scale. Here, we have used chickpea homogenous systems units (HSUs) defined by mechanistic models and geo-bio-physical parameters; over which the P&amp;D distribution and rankings were over-layered. The chickpea P&amp;D severity, distributions, social impact and key drivers responsible for spread on these locations were identified by using meta-analysis. Further, in order to understand the possible risks and consequences of P&amp;D population growth and geographical expansion, the CLIMEX package was used. We aim to compare the pest distribution generic models and prioritization methodologies for emerging regional specific P&amp;D. These findings would support policy intrusions associated with long term transformative adaptation strategies for climate change.</dc:description>
        <dc:date>2019-09</dc:date>
        <dc:type>Conference or Workshop Item</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/11480/1/SHarma%20et%20al%2C%202019_Target%20Populations%20Environments%20and%20Pest%20Distribution%20Modelling.pdf</dc:identifier>
        <dc:identifier>  Sharma, M and Ramanagouda, G and Sharath Chandran, U S and Kholova, J and Irshad Ahmed, M  (2019) Target Population Environments and Pest Distribution Modelling: An Approach towards Pest Prioritization and Preparedness.  In: Annual Meeting of the International Pest Risk Research Group, Poznan, Poland, 3-6 September 2019.     </dc:identifier></oai_dc:dc>
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