Population dynamics of gram pod borer Helicoverpa armigera (hubner) on chickpea
Ashok P Chavan, D. Sagar, S. B. Latake, Subhash Chander, Komal Ankush Chavan
Abstract
Ashok P Chavan, D. Sagar, S. B. Latake, Subhash Chander, Komal Ankush Chavan
Abstract
In this study relationship between weather parameters of current, first, second and third lag week was individually explored with peak trap catches of Helicoverpa armigera for ten years (2005–06 to 2014–2015) at Rahuri, Maharashtra. Peaks of trap catches exhibited significant negative correlation with relative humidity of current and third lag weeks; and maximum temperature and sunshine hours of third lag week had positive correlation. Weather based forewarning model was developed by regressing peaks of trap catches in relation to weather parameters of current, first, second and third lag weeks. Stepwise regression revealed that temperature and relative humidity are critical. The pest weather model was validated with the three years (2015–16 to 2017–18) independent dataset.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this study relationship between weather parameters of current, first, second and third lag week was individually explored with peak trap catches of Helicoverpa armigera for ten years (2005–06 to 2014–2015) at Rahuri, Maharashtra. Peaks of trap catches exhibited significant negative correlation with relative humidity of current and third lag weeks; and maximum temperature and sunshine hours of third lag week had positive correlation. Weather based forewarning model was developed by regressing peaks of trap catches in relation to weather parameters of current, first, second and third lag weeks. Stepwise regression revealed that temperature and relative humidity are critical. The pest weather model was validated with the three years (2015–16 to 2017–18) independent dataset.
Key concepts: Helicoverpa armigera, Gram, Point of delivery, Biology, Population, Toxicology, Agronomy, Helicoverpa