National Agricultural Innovation Project (NAIP-ICAR), New Delhi
Theme Area : Integrated Pest Management (IPM)
NAIP Component 4 : Basic and Strategic Research, Reg. No. of the proposal: C 2046
Consortium Leader :Central Research Institute for Dryland Agriculture, Hyderabad
Consortium Partners :
Central Institute for Cotton Research,
Nagpur
Directorate of Rice Research, Hyderabad
Space Application Centre, Ahmedabad
National Centre for Integrated Pest
Management, New Delhi
Duration of the sub-project : July 2008 to 2012
Total Cost of the Project: Rs. 322.60 lakhs.
Objectives of the sub-project
- Generation of cropping system based information on population biology of major inse
ct
pests of rice and cotton required for robust model development - Development of pest forewarning models and decision support systems in rice and cotton for use at micro and macro levels
Project Description
ecosystem by 3.5 times and in cotton ecosystem by 12 times clearly
indicates the ill effects of pesticides. Knowledge and information is the key to
judicious pest management decisions, which can lead to rational use of pesticides.
Integrated Pest Management is a system that emphasizes appropriate decision-making
and depends heavily on accurate and timely information for field implementation
by practitioners. Forecast of pests is an important component of the broad IPM philosophy.
Past data sets on crop-pest-disease-weather relations will be used in development
of a usable database. The sub project involves field studies in two major cropping
systems: rice-based and cotton-based cropping systems for development of pest forewarning
models based both on biological and ecological processes. The rice-based cropping
systems include rice-ricepulse, rice-wheat and rice-rice-rice systems targeting
stem borer, brown plant hopper, and white backed plant hopper and leaf folder. The
cotton based cropping systems include cotton + pigeonpea/fallow, cotton-wheat and
cotton-groundnut/maize sequence targeting mealy bug, mirid bugs, pink bollworm and
Helicoverpa bollworm. These field studies will result in generating information
on off-season survival, pest-carry over on alternate hosts and pestnat
ural enemy interactions.
Complementing field studies, laboratory experiments under controlled environmental
conditions will generate data on developmental growth rates for mealy bug and mirid
bugs in cotton; WBPH and leaf folder in rice. These studies will lead to insect
phenology models for estimating the timing of pest attack. Extrapolation of model
results over larger areas is possible through remote sensing techniques. First,
generation of spectral library using hand held spectro-radiometer for crop damage
due to insect pests will aid in developing pest specific vegetation indices which
in turn leads to area-wide crop condition assessment using space borne remote sensing
data. Further, derivation of spatial distribution of meteorological variables will
lead to extrapolation of model outputs at the regional level. Integration of all
the four components i.e., past database; generated data on field, laboratory and
remote sensing studies though the development of a decision support system will
strengthen the on-going integrated pest management delivery in rice and cotton with
objectivity.
Main innovations being attempted are:
- Earlier pest forewarning models are based on individual crops. However, pest population dynamics cannot be understood properly unless the whole cropping systems are studied. Therefore, in this study the approach is cropping system based which will include bio-ecological variables like off-season survival, pest-carry over and natural enemies to account for variability in pest populations to a higher extent so that the forewarning models are more practical and useful.
- Use of hyper-spectral technique for pest detection is still evolving and has ambiguities.
In this study the technique will be used to detect and resolve the ambiguities with
respect to insect pests of rice and cotton.
Outputs
- Field population dynamics for four major pests (stem borer Scirpophaga incertulas, brown plant hopper Nilaparvata lugens, white-backed plant hopper Sogatella furcifera, leaf folder Cnaphalocrosis medinalis) of rice based cropping systems (Rice-Rice-Pulse, Rice-Wheat, Rice-Rice-Rice) and four pests (mealy bug, Phenacoccus solenopsis; mirid bugs, Crenotiades spp and Ragmus spp; Pink bollworm, Pectinophora gossyppiella and American bollworm, Helicoverpa armigera) of cotton based cropping systems (cotton-wheat, cotton-groundnut/maize and cotton+pigeonpea-fallow).
- Establish relationships between ambient temperature and growth rates of differ
ent developmental stages of mealy bug, mirid bug in cotton; white-backed
plant hopper and leaf folder in rice. - Establishment of spectral signatures for crop damage due to cotton mealy bug; brown plant hopper, white backed plant hopper and leaf folder in rice using hyperspectral radiometry.
- Development of pest forewarning models for six cropping systems.
- Integrated decision support systems for rice and cotton pest management in six cropping systems.
Expected outcome and impact of the project
- The most important outcome of the project would be an understanding of the cropping system based population dynamics and development of more robust pest forewarning models.
- Combining ground level studies on crop and pest damage; satellite borne remote sensing data and derivation of spatially distributed meteorological variables will lead to extrapolation of pest forewarning at macro level
Activities for CICR
| Objective/activity | Milestone and when to be attained | Expected output | |||
|
First Year
|
Second Year
|
Third Year
|
|||
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S.Vennila (SV), G. Majumdar (GM) (Nagpur), Dharajothi (DJ), M Sabesh (MS), M Amutha
(MA)(Coimbatore),
Rishi Kumar (RK) (Sirsa) |
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|
Objective 1: Generation of cropping system based information on population biology of major insect pests of rice and cotton required for robust model development |
|||||
|
Field cum laboratory studies on field growth rates for mealy bug, pink bollworm
and mirids in cotton.
|
Field growth rates and key mortality factors quantified; Scientific methods of sampling for mealy bugs and mirids |
Field growth rates and key mortality factors quantified |
- |
Publication |
|
|
Developmental rates for Mealybug and mirids (SV, MA, DJ, RK) |
Constant temperature experiments for each life stage |
Constant temperature experiments for each life stage |
- |
Publication |
|
|
Cropping system based field studies on population dynamics of target pests in cotton
at Nagpur (Cotton + Pigeonpea -Fallow), Sirsa (Cotton-Wheat) and Coimbatore (Cotton-Groundnut
/ Cotton-Maize)
|
Population dynamics of mealy bug, mirid bug, Pink bollworm and other cotton pests in different cropping system scenarios |
Population dynamics of target pests, GIS technique to study cotton based cropping systems for spatial and temporal relationships for an identified location |
Population dynamics in cropping systems for validation |
Models based on data mining; Publication |
|
|
Generation of spectral library using hand held spectro radio meter for crop damage
due mealybug in cotton
|
Spectral profiles of crop damage associated with target pests in cotton |
Spectral profiles of crop damage associated with target pests in cotton |
- |
Spectral library for pest damage in cotton |
|
|
Objective 2: Development of pest forewarning models and decision support systems in rice and cotton for use at micro and macro levels |
|||||
|
Compilation and analysis of historical data sets (pest bio-ecology, distribution,
crop and pest management practices, models and existing decision support systems)
for all pests including diseases in cotton
|
Compilation of existing information Design of standard dataset formats |
Updating past data |
- |
Compiled existing knowledge and past data |
|
|
Development of pest forewarning models through use of generated key biotic and abiotic
parameters and existing database
|
Pest forewarning modeling for cotton pests using past database |
Pest forewarning modeling for cotton pests using generated data |
Pest forewarning modeling for cotton pests using both past and generated data |
Forewarning models for cotton pests |
|
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Development of decision support systems cotton
|
|
Development of DSS framework |
Integration of pest models & DSS |
DSS for pests in cotton |
|
| Name of the lead Consortium (Consortium leader) | |||
| Consortium leader | Website | Designation of Head of Organization | Telephone/Email |
|
Central Research Institute for Dryland Agriculture, Hyderabad |
Director |
Phone:040-24530177 director@crida.ernet.in , ramakrishna.ys@crida.ernet. in |
|
| Names of cooperating institutions (Consortium partners) | |||
|
Central Institute for Cotton Research, Nagpur |
Director |
Phone:07103-275536 cicrngp@rediffmail.com |
|
|
Directorate of Rice Research, Hyderabad |
Project Director |
Phone:040-24015120 pdrice@drricar.org |
|
|
Space Application Centre, Ahmedabad |
Director |
Phone:079-26913344 director@sac.isro.gov.in |
|
|
National Centre for Integrated Pest Management, New Delhi |
Director |
Phone:011-25843958 ipmnet@bol.net.in |
|
| Name and designation of the lead scientist of the lead institution | ||||
| Consortium Principal Investigator(CPI) |
University/Institute/
Organisation  |
Telephone, Fax Number Email | ||
|
Dr.Y.G.Prasad Principal Scientist (Agril.Entomology) |
Central Research Institute for
|
Phone:040-24530161
|
||
| Name and designation of the cooperating scientist of the lead institution | ||||
| Name of the Co-Principal Investigator(CCPI) |
University/Institute/
Organisation |
Telephone, Fax Number Email | ||
|
Dr.M.Prabhakar |
Central Research Institute for
|
Phone:040-24530161, Ext:315 (Off);
|
||
| Name and designation of the cooperating scientists of each cooperating institution | ||||
|
Name of the
Consortium Co-Principal Investigator(CCPI) Â |
University/Institute/
Organisation |
Telephone, Fax Number Email | ||
|
Dr.Vishlesh Nagrare |
Central Institute for Cotton Research |
Phone:07103-275536(Off),
|
||
|
Dr. G. Katti Principal Scientist (Agril.Entomology) |
Directorate of Rice Research, (DOR) Rajendranagar, Hyderabad-500 030 |
Phone:040-24015036 Ext 230(Off)
|
||
|
Dr. Sujay Datta
|
Space Application Centre (SAC), |
Phone:079-26914003(Off)
|
||
|
|
National Centre for Integrated Pest Management (NCIPM), |
Phone:011- 25843958/35/36(Off)
|
||
| Name and designation of the cooperating scientists of each cooperating institution | ||
|
Name of the Co-Principal
Investigator(Co-PI) |
University/Institute/
Organisation  |
Telephone/Email |
|
Dr.K.V.Rao
|
CRIDA, Hyderabad |
Mobile :09441067855
|
|
Dr. K. Nagasree
|
CRIDA, Hyderabad |
Phone:040-24074870
|
|
Mr. A.V. M. Subba Rao
|
CRIDA, Hyderabad |
Mobile :09848980996
|
|
Dr. G. R. Maruthi Shankar
|
CRIDA, Hyderabad |
Mobile :09705374843
|
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Dr. G. Majumdar
|
CICR, Nagpur |
Mobile :09890616818
|
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Dr. B. Dharajyoti
|
CICR,
|
Mobile :0943379355
|
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Dr. M. Sabesh
|
CICR,
|
Mobile :09443115368
|
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Dr. M. Amutha
|
CICR,
|
Mobile:09842674280
|
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Dr. Rishi Kumar
|
CICR,
|
Mobile :09466375285
|
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Dr. V. Jhansi Lakshmi
|
DRR, Hyderabad |
Phone:040-24015036 |
|
Dr. A. P. Padmakumari
|
DRR, Hyderabad |
Phone:040-24015036
|
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Dr. Ch. Padamavathi
|
DRR, Hyderabad |
Phone:040-24015036
|
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Dr. B. K. Battacharya
|
SAC,Ahmedabad |
Phone:079-26914302
|
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Dr. K. Vasant Bhanu,
|
APRRI,Maruteru
|
Phone:08819-246283
|
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Dr. P. S.Sarao, |
PAU, Ludhiana |
Mobile:09872006248
|
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Dr. S. Suresh,
|
TNAU, Coimbatore |
Mobile :09443430232
|
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Dr.R.C.Dani,
|
CRRI, Cuttack |
Phone:0671-2367653
|
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Dr.Mayabini Jena,
|
CRRI, Cuttack |
Mobile:09777193950
|
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Dr.C. R.Satpathi,
|
BCKV, Mohanpur |
Mobile:09331048700
|
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Dr. D. K. Das
|
NCIPM, New Delhi |
Mobile :09868373223
|
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Dr. P. Jeyakumar
|
NCIPM, New Delhi |
Mobile :09810471113
|
Information compiled, Page designed and developed by M. Sabesh,
Scientist(SS), CICR, Coimbatore