eprintid: 11472
rev_number: 12
eprint_status: archive
userid: 3170
dir: disk0/00/01/14/72
datestamp: 2020-04-09 14:47:57
lastmod: 2020-04-09 14:47:57
status_changed: 2020-04-09 14:47:57
type: conference_item
metadata_visibility: show
creators_name: Ramanagouda, G
creators_name: Jha, A
creators_name: Ranga Rao, G V
creators_name: Makanwar, P
creators_name: Jaba, J
creators_name: Sharma, M
icrisatcreators_name: Ramanagouda, G
icrisatcreators_name: Ranga Rao, G V
icrisatcreators_name: Makanwar, P
icrisatcreators_name: Jaba, J
icrisatcreators_name: Sharma, M
affiliation: ICRISAT (Patancheru)
affiliation: Agricultural Knowledge Management Unit, Indian Agricultural Research Institute, Pusa, India
country: India
title: ICRISAT pests monitoring and surveillance at a glance and weather based forewarning models for chickpea and pigeonpea Helicoverpa armigera
ispublished: pub
subjects: IPM
subjects: s1.1
subjects: s1.2
subjects: s35
divisions: CRPS2
full_text_status: public
pres_type: paper
keywords: Chickpea, Pigeonpea, Crop Modeling, Pests
abstract: The 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 seasons
date: 2019-11
date_type: published
event_title: XIXth International Plant Protection Congress
event_location: Hyderabad, India
event_dates: 10-14th Nov 2019
event_type: conference
refereed: TRUE
citation:   Ramanagouda, G and Jha, A and Ranga Rao, G V and Makanwar, P and Jaba, J and Sharma, M  (2019) ICRISAT pests monitoring and surveillance at a glance and weather based forewarning models for chickpea and pigeonpea Helicoverpa armigera.  In: XIXth International Plant Protection Congress, 10-14th Nov 2019, Hyderabad, India.     
document_url: http://oar.icrisat.org/11472/1/Reddy%20et%20al.%202019.pdf