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Forecasting Helicoverpa armigera (Lepidoptera: Noctuidae) larval phenology in pigeonpea and chickpea crops using growing degree days

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Title Forecasting Helicoverpa armigera (Lepidoptera: Noctuidae) larval phenology in pigeonpea and chickpea crops using growing degree days
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Creator B. KIRAN GANDHI*, S.K. SINGH1, KRISHNA KUMAR, S. VENNILA2, Y. SRUJANA3, ARTIKATIYAR and N.P. SINGH
 
Subject AIC, Boltzmann, BIC, biofix, logistic, regression
 
Description Not Available
Gram pod borer, Helicoverpa armigera is a serious insect pest of pigeonpea and chickpea
crops, responsible for huge economic losses. Timely forecasting and subsequent sensible management
practices of H. armigera would save the crops from economic damage. In the present study, H. armigera
larval incidence data was recorded from sixteen pigeonpea and chickpea growing locations (Maharashtra,
India) for three seasons (2015, 2016 and 2017). Observed accumulated GDD (from 40 SMW to 7 SMW)
revealed, H. armigera completed one generation in 29 days to develop 4 generations across the locations
and seasons. After accumulating 86GDD (40 SMW) and 62 GDD (43 SMW), larval ‘biofix’ (initial incidence
of larvae) was started in pigeonpea and chickpea, respectively. Logistic regression model estimated
accumulated GDD required by H. armigera larvae to reach ETL in pigeonpea (629 GDD) and chickpea
(378 GDD), which was same as observed accumulated GDD. Statistical criteria viz., Adjusted r2, AIC and
BIC projected logistic regression model as a better performer in most cases. The geographically unique
models developed based on biofix and accumulated GDD in this study can be used for timely advisories
and sustainable management of H. armigera in pigeonpea and chickpea crops after field validation.
Not Available
 
Date 2021-07-09T08:48:15Z
2021-07-09T08:48:15Z
2021-01-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/47593
 
Language English
 
Relation Not Available;
 
Publisher Not Available