Biological activity of pod borer, Helicoverpa armigera (Hubner) influenced by chickpea genotypes

2018 ◽  
Author(s):  
Bheemaraya . ◽  
V. Rachappa ◽  
Raju Teggelli ◽  
Suhas Yelshetty ◽  
Y. S. Amaresh
Keyword(s):  
Biological Activity ◽  
Weight Gain ◽  
Helicoverpa Armigera ◽  
Larval Survival ◽  
Larval Weight ◽  
Visual Rating ◽  
Damage Rate ◽  
Pod Borer ◽  
Helicoverpa Armígera ◽  
Helicoverpa Armigera Hubner

Investigations on biological activities of pod borer, Helicoverpa armigera (Hubner) on 20 promising chickpea genotypes using detached leaf assay method at Agriculture Research Station Kalaburagi, UAS, Raichur, Karnataka was carried out during rabi 2016-17. The results revealed that at vegetative and flowering stage there was significantly lesser larval survival (70 to 76.67 %), larval weight (8.37 to 8.90 mg) and damage rate (3.67 to 4.67 of visual Rating in 1-9 Scale) on resistant check ICCL 86111, HC-1 and DBGV-3104 genotypes where as maximum per cent larval survival (86.67 to 90 %), larval weight (13.60 to 14.10 mg) and damage rate (7.67 to 8.00 of visual Rating in 1-9 Scale) was recorded in susceptible checks (ICC-3137, A-1 and JG-11). During pod formation stage, highest weight gain by larvae was noticed on susceptible check ICC-3137 (409.18 mg), on the contrary lowest weight gain by larvae was found on resistant check ICCL-86111 (275.43 mg) also these genotypes recorded more amount of malic acid and trichomes indicating that biological activity of insect was affected through antibiosis mechanism which is one of the component of resistance to H. armigera in chickpea.

scholarly journals Screening for host plant resistance to Helicoverpa armigera(Hubner) in chickpea using novel techniques

2016 ◽  
Author(s):  
Jagdish Jaba ◽  
Meena Agnihotri ◽  
Snehel Chakravarty
Keyword(s):  
Weight Gain ◽  
Helicoverpa Armigera ◽  
Pupal Weight ◽  
Maximum Weight ◽  
Pod Borer ◽  
Helicoverpa Armígera ◽  
Pheromone Compound ◽  
Antibiosis Resistance ◽  
Helicoverpa Armigera Hubner ◽  
Chickpea Cultivars

Insights of antibiosis resistance in various chickpea cultivars against pod borer Helicoverpa armigera (Hubner) under laboratory condtions. The present study was carried out in order to investigate the level of resistance against H. armigera on different cultivars by adopting detach leaf and pod assay. In leaf detach assay, pooled mean of 2012 and 2013, significantly lower and maximum weight gain and percent gain recorded was 101.9 mg (88.5%); 382.3mg (317.4%), respectively for ICCV 097105 and ICCV 07306. During podding stage, lowest pod damage (%) was recorded 55 % (ICCV 92944) and highest pod damage recorded by ICC 3137, LL 550 and ICCV07306 (95 %).Highest pupal weight of one day old pupae was recorded on LL 550 (405.2 mg) and lower pupal weight in ICCV 097105 (202.4 mg). The present result gave clue for future in depth studies on weeds for developing either specific pheromone compound or repellant compound for the eco- friendly management of H. armigera.

Comparative Efficacy of Various Insecticides to Control Gram Pod Borer (Helicoverpa armigera Hubner) on Chickpea

2003 ◽  
Vol 2 (4) ◽  
pp. 403-405 ◽  
Author(s):  
Abdul Rashid ◽  
Habib Ahmad Saeed . ◽  
Lal Hussain Akhtar . ◽  
Sabir Zameer Siddiqi . ◽  
Muhammad Arshad .
Keyword(s):  
Helicoverpa Armigera ◽  
Comparative Efficacy ◽  
Pod Borer ◽  
Helicoverpa Armígera ◽  
Helicoverpa Armigera Hubner

scholarly journals Evaluation of Indoxacarb 14.5 SC against Green Gram Pod Borer, Helicoverpa armigera (Hubner) Management through Front Line Demonstrations

2021 ◽  
Author(s):  
Mamta Devi Choudhary ◽  
Arjun Singh Jat ◽  
Sumitra Devi Bamboriya ◽  
Anop kumari
Keyword(s):  
Broad Spectrum ◽  
Helicoverpa Armigera ◽  
Foliar Application ◽  
Green Gram ◽  
Front Line ◽  
Net Return ◽  
Pod Borer ◽  
Helicoverpa Armígera ◽  
The Given ◽  
Helicoverpa Armigera Hubner

Front Line Demonstration on foliar application of broad spectrum insecticide Indoxacarb 14.5 SC for control of pod borer, Helicoverpa armigera in green gram was conducted on farmers field in Nagaur district during 2019-20. Through the demonstration of the technology, 35.1% increase in green gram production has been observed with the production of 6.35 q/ha as compared to farmer’s practice (4.7 q/ha). Under demonstrated practices farmer were advised to alternate spray of the given insecticide on appropriate time. Under demonstrated practices, farmers got maximum net return of 21,667 Rs./ha, whereas, it was 12,285 Rs./ha in farmer’s practices.

scholarly journals Management of Pod Borer (Helicoverpa armigera Hubner) Infesting Marigold (Tagetes erecta)

2017 ◽  
Vol 6 (9) ◽  
pp. 142-148
Author(s):  
Suheel Ahmad Ganai Hafeez Ahmad ◽  
Sonika Sharma Nadeya Khaliq ◽  
Thanlass Norboo Divya Chaand ◽  
Shallu Raina
Keyword(s):  
Helicoverpa Armigera ◽  
Tagetes Erecta ◽  
Pod Borer ◽  
Helicoverpa Armígera ◽  
Helicoverpa Armigera Hubner

scholarly journals Prediction of Helicoverpa armigera (Hubner) larval population using weather based forewarning model in soybean

2021 ◽  
Vol 21 (4) ◽  
pp. 494-498
Author(s):  
RAM MANOHAR PATEL ◽  
A.N. Sharma ◽  
PURUSHOTTAM SHARMA
Keyword(s):  
Helicoverpa Armigera ◽  
Training Dataset ◽  
Maximum Temperature ◽  
Validation Dataset ◽  
Larval Population ◽  
Pod Borer ◽  
Significant Difference ◽  
Helicoverpa Armígera ◽  
Predicted Values ◽  
Helicoverpa Armigera Hubner

Weekly larval populations of pod borer, Helicoverpa armigera (Hubner) collected from 20 districts of Maharashtra under Crop Pest Surveillance and Advisory Project (CROPSAP) during 2010-2015 were analyzed to work out the effect of weather variables on the incidence of this insect on soybean. The appearance of larva was observed throughout the soybean growing season, and the peak incidence was observed during third week of August to first week of September (34-35 SMW). The correlation analysis of the data revealed that larval population was significantly and positively influenced by the minimum temperature and rainfall of current week as well as previous two weeks. For the development of forewarning model, data for the period from 2010 to 2013 were used as training dataset and two year (2014-2015) data as validation dataset. The mean model used for forewarning the incidence of pod borer larval population was developed by using step-wise multiple regression analysis in polynomial form. The results of mean model revealed that the significant variables affecting the pod borer larval population in soybean were maximum temperature (current and 1st lag week), and rainfall (current week) and the model explained 48.93% variation. The pre-disposing conditions for the incidence of larvae have been worked out as maximum temperature ranging from 26.1 to 31.47 ºC and rainfall ranging from 6.63 to 141.46 mm with low or medium rainfall in previous weeks followed by high in current week. The model was validated with 2014-15 independent dataset with predicted R2 (R2 ) value 28.13%. Two sample t-test showed no Pred significant difference between observed and predicted values (p = 0.3691 > 0.05).

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