OAR@ICRISATICRISAT pests monitoring and surveillance at a glance and weather based forewarning models for chickpea and pigeonpea Helicoverpa armigeraGRamanagoudaauthorAJhaauthorG VRanga RaoauthorPMakanwarauthorJJabaauthorMSharmaauthorThe extreme climate events and narrowing crop diversity are encouraging epidemics of agricultural pest and diseases (P&D) incidences and accounts for 40 per cent crop losses globally each year. These changes in the ecosystem promotes the disruption in the geographical synchronization of pests and beneficial insects as well as increases damage potentials of new invasive pests. Therefore, constant surveillance and monitoring of pest distribution are essential to take control measures timely. However, the ICRISAT Farm services (FS) and Integrated Crop Management (ICM) of RP-Asia Program have been monitoring and collecting daily field pest surveillance and trap data of the Patancheru campus from 1980s onward. The trend pest incidence in ICRISAT mandate crops (chickpea, pigeonpea, groundnut, pearl millet and sorghum) was decreasing over the years (1980s to 2018). Among the seasons pest’s severity was severe in Kharif followed by Rabi and summer seasons. We tried to develop the weather based forewarning models for Helicoverpa armigera of chickpea and pigeonpea. The bimodal series of Helicoverpa population distribution were recorded the models were developed for pigeonpea [(Y=-1853.60 - 0.19* Z120 + 38.34 Z11 + 0.55 Z131 + 0.052 Z251) with 0.75 r2 value] and pigeonpea/chickpea [(Y=-978.72 + 0.149 Z130 + 0.63 Z131 + 0.17 Z141+ 2.23 Z251) with 0.69 r2 value] at 25-33 and 45-3 standard meteorological weeks (SMW). The accuracy of Helicoverpa incidence and economic threshold levels (ETLs) were cross examined with dates of pest control measure have been initiated. However, validation of these models under progress in the current cropping seasonsIntegrated Pest Management (IPM)ChickpeaPigeonpeaPlant Disease2019-11Conference or Workshop Item

For work being deposited by its own author: In self-archiving this collection of files and associated bibliographic metadata, I grant OAR@ICRISAT the right to store them and to make them permanently available publicly for free on-line. I declare that this material is my own intellectual property and I understand that OAR@ICRISAT does not assume any responsibility if there is any breach of copyright in distributing these files or metadata. (All authors are urged to prominently assert their copyright on the title page of their work.)

For work being deposited by someone other than its author: I hereby declare that the collection of files and associated bibliographic metadata that I am archiving at OAR@ICRISAT) is in the public domain. If this is not the case, I accept full responsibility for any breach of copyright that distributing these files or metadata may entail.

Clicking on the deposit button indicates your agreement to these terms.