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Prediction Models for Helicoverpa armigera (Hubner) Based on Abiotic Factors in Chickpea Ruling Variety JG-11


Affiliations
1 Department of Agricultural Entomology, University of Agricultural Sciences, Dharwad (Karnataka), India
2 Department of Plant Pathology, University of Agricultural Sciences, Dharwad (Karnataka), India
     

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Experiments were carried out on the weather based relationship of pod borer, Helicoverpa armigera (Hubner) during Rabi 2011-12 and 2012-13 at the Main Agricultural Research Station, Dharwad. The analysis comprised correlations between the pod damage with prevailing weekly meteorological parameters during 1, 2, 3 and 4 weeks lead time (prior) and same week of the observations revealed the following results. Forecasting model for per cent pod damage shown maximum temperature at 4 weeks lead time is consistently negatively and highly significant association with per cent pod damage in early sown crop. In case of normal and late sown crop, minimum temperature at 3 weeks lead time is consistently negatively and highly significant association with per cent pod damage by the prediction model.

Keywords

Helicoverpa armigera, Weather Parameters, Pod Damage, Correlation, Regression, Forecasting.
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  • Prediction Models for Helicoverpa armigera (Hubner) Based on Abiotic Factors in Chickpea Ruling Variety JG-11

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Authors

P. V. Matti
Department of Agricultural Entomology, University of Agricultural Sciences, Dharwad (Karnataka), India
Shekharappa
Department of Agricultural Entomology, University of Agricultural Sciences, Dharwad (Karnataka), India
R. A. Balikai
Department of Agricultural Entomology, University of Agricultural Sciences, Dharwad (Karnataka), India
V. B. Nargund
Department of Plant Pathology, University of Agricultural Sciences, Dharwad (Karnataka), India

Abstract


Experiments were carried out on the weather based relationship of pod borer, Helicoverpa armigera (Hubner) during Rabi 2011-12 and 2012-13 at the Main Agricultural Research Station, Dharwad. The analysis comprised correlations between the pod damage with prevailing weekly meteorological parameters during 1, 2, 3 and 4 weeks lead time (prior) and same week of the observations revealed the following results. Forecasting model for per cent pod damage shown maximum temperature at 4 weeks lead time is consistently negatively and highly significant association with per cent pod damage in early sown crop. In case of normal and late sown crop, minimum temperature at 3 weeks lead time is consistently negatively and highly significant association with per cent pod damage by the prediction model.

Keywords


Helicoverpa armigera, Weather Parameters, Pod Damage, Correlation, Regression, Forecasting.

References