Validation of weather based forewarning model for Helicoverpa armigera in chickpea

D SAGAR; SURESH M NEBAPURE; SUBHASH CHANDER

doi:10.56093/ijas.v89i11.95354

Authors

D SAGAR Scientist, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
SURESH M NEBAPURE Scientist, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
SUBHASH CHANDER Principal Scientist, Division of Entomology, IARI, PUSA Campus, New Delhi

https://doi.org/10.56093/ijas.v89i11.95354

Keywords:

Chickpea, Helicoverpa armigera, Model validation, Pheromone trap catches, Weather parameters

Abstract

Weather based forewarning model for Helicoverpa armigera developed earlier was validated by recording the activity of H. armigera through pheromone trap catches in chickpea sown during rabi 2017â€“18 at IARI, New Delhi. The moth activity of H. armigera commenced in 52nd SMW (last week of December) and peak trap catch was during 15th SMW with 183moths/trap/week in April. The male moth population had significant positive and very strong correlation with maximum temperature (r=0.816**) and minimum temperature (r=0.820**) of 1-lag week and significant negative correlation with morning (r=-0.774**) and evening relative humidity (r=-0.655**) of 1-and 2-lag week respectively. The repeatability of model accuracy to predict the H. armigera adult population was validated satisfactorily (R2 = 0.719, RMSE=1.66%, MBE=-0.71% and MAE=1.26%) with 2017â€“18 weather data and H. armigera trap catches.

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References

Ahmed K and Khalique F. 2002. Forecasting adult populations of Helicoverpa armigera on chickpea using pheromone trap. Pakistan Journal of Biological Sciences 5: 830–4. DOI: https://doi.org/10.3923/pjbs.2002.830.834

Anonymous 2017. Project Co-ordinator’s Report 2016–17. All Indian Co-ordinated Research project on chickpea, ICAR-Indian Institute of Pulses Research, pp 1–53.

Das D K, Behera K S, Dhandapani A, Trivedi T P, Chona N and Bhandari P. 2008. Development of forewarning systems of rice pests for their management, pp 187–200.

Rice Pest Management. (Eds) Prakash A, Sasmal, A, Rao J, Tewari S N, Behera K S, Singh S K and Nandagopal V. Cuttack: Applied Zoologist Research Association.

Dixit G P, Sarvjreet Singh, Jayalakshmi V, Srivastava A K and Gaur P M. 2017. Chickpea improvement – Accomplishments, challenges and strategies. (In) Proceedings of National symposium on Pulses for Nutritional Security and Agricultural Sustainability, IIPR, Kanpur, p 45.

Evans J D. 1996. Straight Forward Statistics for the Behavourial Scinces. Pacific Grove, CA:Brooks/cole Publishing.

Fitt G P. 1989. The ecology of Heliothis species in relation to agroecosystem. Annual Review of Entomology 34: 17–52. DOI: https://doi.org/10.1146/annurev.en.34.010189.000313

Kumar A, Nemade P W, Sharma R, Tanwar R K, Chattopadhyay C, Wanjari S S and Rathod T H. 2018. Statistical forewarning models for sucking pests of cotton in Maharashtra. Journal of Agrometeorology 20(1): 62–5. DOI: https://doi.org/10.54386/jam.v20i1.507

Matti P V, Shekharappa, Balikai R A and Nargund V B. 2017. Prediction models for Helicoverpa armigera (Hubner) based on abiotic factors in chickpea ruling variety JG-11. International Journal of Plant Protection 10(2): 344–8. DOI: https://doi.org/10.15740/HAS/IJPP/10.2/344-348

Pandey B M, Tripathi M K and Vijay Lakshmi 2012. Seasonal incidence of gram pod borer, Helicoverpa armigera (Hub.) on chickpea in Varanasi area. Journal of Experimental Zoology India 15(2): 667–9.

Prasannakumar N R, Chander S and Vijay Kumar L. 2015. Development of weather based rice yellow stem borer prediction model for the Cauvery command rice areas, Karnataka, India. Cogent Food and Agriculture 1: 995281 (DOI: 10.1080/23311932.2014.995281). DOI: https://doi.org/10.1080/23311932.2014.995281

Sagar D, Nebapure S M and Chander S. 2017. Development and validation of weather based prediction model for Helicoverpa armigera in chickpea. Journal of Agrometeorology 19(4): 328–33. DOI: https://doi.org/10.54386/jam.v19i4.600

Sharma K, Sharma R K, Chander S and Jilu V. 2015. Effects of weather parameters on guava fruit fly (Bactrocera zonata) population at IARI, New Delhi. Journal of Agrometeorology 17(2): 227–29. DOI: https://doi.org/10.54386/jam.v17i2.1012

Singh D, Singh S K and Vennila S. 2015. Weather parameters influence population and larval parasitization of Helicoverpa armigera (Hubner) in chickpea ecosystem. Legume Research 38(3): 402–6. DOI: https://doi.org/10.5958/0976-0571.2015.00111.3

Siswanto, Rita M, Dzolkhifli O and Elna K. 2008. Population fluctuation of Helopeltis antonii Signoret on Cashew Anacardium occidentalle L. in Java Indonesia. Pertanika Journal of Tropical Agricultural Sciences 31: 191–6.

Tripathi S R and Sharma S K. 1985. Population dynamics of Heliothis armigera (Hubner) (Lepidoptera Noctuidae) on gram in the Terai belt of N. E. Uttar Pradesh. Giornale Italiano di Entomology 2: 347–53.

Ugale T B, Toke N R and Shirsath M S. 2011. Population dynamics of gram pod borer, Helicoverpa armigera (Hubner). International Journal of Plant Protection 4(1): 204–6.

Willmott C J. 1982. Some comments on the evaluation of model performance. Bulletin American Meteorological Society 63: 1309–13. DOI: https://doi.org/10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2

Yelshetty S and Sidde Gowda D K. 1998. Progress in pulse entomological research of Gulbarga. (In) proceedings of Seminar on progress and perspectives for sustainable agriculture in North Karnataka, Dharwad, Karnataka, 20th March 1998.