EconPapers    
Economics at your fingertips  
 

A Comparative S tudy Of Various Controlling Methods To Monitor Pink Bollworm (Pectinophora Gossypiella) Infestation On The Yield Of Cotton: A Case Study Of District Veha ri, Pakistan

Kamran Javed, Abdul Jabbar, Shahbaz Bhatt (), Khalid Mahmood and Basharat Javed
Additional contact information
Kamran Javed: Cotton Research Station, Vehari, Pakistan
Abdul Jabbar: Cotton Research Station, Vehari, Pakistan
Shahbaz Bhatt: Department of Agricultural & Resource Economics, University of Agriculture, Faisalabad, Pakistan.
Khalid Mahmood: Cotton Research Station, Vehari, PakistanAuthor-Name: M Jamil
Basharat Javed: Department of Plant Breeding & Genetics, Baha-ud-din Zakariya University, Multan, Pakistan.

Big Data In Agriculture (BDA), 2020, vol. 2, issue 1, 29-31

Abstract: Cotton is the most important crop producing natural fibre which has been under commercial cultivation for domestic consumption and export needs. A research was carried out for the management of pink bollworm in BT Cotton using different modules as controlling methods at Cotton Research Station, Vehari, Pakistan during kharif season of 2016 and 2017. Among different modules, the lowest number of Pink bollworm (PBW) larvae (32.5/25 green bolls) and locule damage (71/100 fully opened bolls) was noticed in chemical control module followed by biological control module (47 larvae/25 green bolls; 102 damaged locules/100 fully opened bolls) and biological + chemical control module (52.5 larvae/25 green bolls; 105.5 damaged locules/100 fully opened bolls). The highest number of PBW larvae (67 /25green bolls) and locule damage (130.5 damaged locules/100 fully opened bolls) was observed in untreated control module. Over all, the highest benefit cost ratio was recorded in chemical control module as compared to other modules. From this study, it is concluded that for management of PBW insecticidal sprays at ETLs proved better than biological control and other methods.

Keywords: BT Cotton; Pink Bollworm; Modules; Management (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/download/968/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:2:y:2020:i:1:p:29-31

DOI: 10.26480/bda.01.2020.29.31

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-20
Handle: RePEc:zib:zbnbda:v:2:y:2020:i:1:p:29-31