Characterization of Environmental Conditions Conducive For Spread of Whitefly Population and Epidemic Development of Chilcv

Maryam Iftikhar

Characterization of Environmental Conditions Conducive For Spread of Whitefly Population and Epidemic Development of Chilcv

Maryam Iftikhar * §

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Characterization of Environmental Conditions Conducive For Spread of Whitefly Population and Epidemic Development of Chilcv

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Abstract

Chilli (C.annum L.) is one of the main solaneaous crop in Pakistan and treated by many viral diseases. This experiment was performed to check the effect of environmental conditions on whitefly population and disease incidence development as well as correlation and regression analysis of environmental factors like maximum, minimum temperature, relative humidity, rainfall and wind speed with whitefly population on Chilli plants. For the determination of effect of environmental factors on the incidence of virus and whitefly Population, five environmental factors were kept in consideration which were maximum temperature, minimum temperature, relative humidity, rainfall and wind pace. The data recorded on disease incidence and whitefly population was subjected to correlation and regression analysis for determining the relationship between environmental variables and incidence of disease and whitefly population. All environmental parameters including (maximum temperature, minimum temperature, and relative humidity) showed positively significant correlation and wind speed and rainfall showed negatively significant correlation.

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Reference Format

1. K Bock (1982). The identification and partial characterisation of plant viruses in the tropics. Tropical Pest Management, 28(4), 399-411.
2. S Cohen,J Duffus,H Liu (1992). A NewBemisia tabaciBiotype in the Southwestern United States and its Role in Silverleaf of Squash and Transmission of Lettuce Infectious Yellows Virus. Phytopathology, 82(1), 86.
3. J Colvin,L Fishpool,D Fargette,J Sherigton,C Fauquet (1998). Bemisia tabaci (Hemiptera: Aleyrodidae) trap catches in a cassava field in Côte d'Ivoire in relation to environmental factors and the distribution of African cassava mosaic disease. Bulletin of Entomological Research, 88(4), 369-378.
4. V Dethier (1982). Mechanism of host plant recognition. Entomological exp. Appl, 31, 49-56.
5. P Devi,R Reddy (1995). Effect of insecticides on aphid transmission of pepper vein banding virus and cucumber mosaic virus on chilli (Capsicum annum L.) Mysore. J. Agric. Sci, 29(2), 141-148.
6. K Dhanraj,M Seth,R Basal (1968). Reactions of certain chilli mutants and varieties to leaf curl virus. Indian Phytopathol, 21, 342-343.
7. Sajjad Hyder,Saadia Naseem,Sohaid Azhar,M Ashfaq,Zahid Ali,Azeem Khalid,M Inam-Ul-Haq (1995). Disease Incidence and Severity of Pythium spp. and Phytophthora spp. Aﬀecting Chili Pepper and Tomato Crops in Punjab, Pakistan. The Philippine Agricultural Scientist, 101(2), 136-147.
8. J Holt,J Copnlviv,V Munijappa (1999). Identifying control strategies for tomato leaf curl virus disease using an epidemiological model. J. Appl. Eco, 36(5), 625-633.
9. Roger Hull,Jeffrey Davies (1992). Approaches to nonconventional control of plant virus diseases. Critical Reviews in Plant Sciences, 11(1), 17-33.
10. R Steel,J Torrie,D Dickey (1997). Principles and procedures of statistics: a biometrical approach. Principles and procedures of statistics: a biometrical approach
11. M Stout,K Workman,R Bostock,S Duffey (1998). Specificity of in-duced resistance in the tomato, Lycopersicon esculentum. Oecologia, 113, 74-81.
12. M Zeeshan,M Khan,S Ali,M Arshad (2015). Correlation of conducive environmental conditions for the development of whitefly, Bemisia tabaci population in different tomato genotypes. Pak. J. Zool, 47, 1511-1515.
13. G Bohmfalk,R Frisbie,W Sterling,R Metzer,A Knuston (2006). Identification, biology and sampling of cotton insects. Identification, biology and sampling of cotton insects
14. R Womdim (2001). An overview of major virus diseases of vegetable corps in Africa and some aspect of their control. Plant Viro.Sub. Africa, 5, 213-230.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Maryam Iftikhar. 2018. "Characterization of Environmental Conditions Conducive For Spread of Whitefly Population and Epidemic Development of Chilcv". Global Journal of Science Frontier Research - C: Biological Science GJSFR-C Volume 17 (GJSFR Volume 17 Issue C4).

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GJSFR Volume 17 Issue C4

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-C Classification FOR Code: 060704

Submission ReceivedAugust 24, 2017
Peer Review Double Blind
Handling Editor
Accepted September 20, 2017
Published October 3, 2017

Version of record

v1.2

Issue date

January 9, 2018

Language

English

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Science Frontier Research - C: Biological Science

Authors: Maryam Iftikhar, M. Aslam Khan, Sajjad Haider (PhD/Dr. count: 0)

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Publish Date: 2017 10, Tue

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