SEASONAL INCIDENCE OF PLUME MOTH, EXELASTIS ATOMOSA (LEPIDOPTERA: PTEROPHORIDAE) ON LONG DURATION PIGEONPEA, CAJANUS CAJAN

The present research was aimed to study the incidence pattern of plume moth, Exelastis atomosa during Kharif 2015-16 and 2016-17 for long duration on pigeonpea cv. Bahar. The results revealed that the incidence of pod bug started from the 5th standard week during 2015-16 and from 6th standard week during 2016-17 and it remained active up to 15thstandard week of both the years. The E. atomosa population attained its peak level during 11th standard week of both the years i.e., 1.73 larvae/ plant and 1.6 larvae/ plant respectively. Correlation studies indicated that population of E. atomosa exhibited a significant positive correlation with maximum and minimum temperatures and wind velocity whereas a significant negative correlation was established with average relative humidity. Other abiotic factors had no significant effect on this insect pest population. The regression equation revealed that variations of different weather variables caused approximately 85.3 and 75.9 per cent variations in E. atomosa population during both years, respectively.

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Seasonal Incidence and Effect of Abiotic Factors on Population Dynamics of Sucking Insect Pest Complex of Groundnut

Current Journal of Applied Science and Technology ◽

10.9734/cjast/2021/v40i1831440 ◽

2021 ◽

pp. 10-17

Author(s):

K. Shamili Dhatri ◽

M. S. V. Chalam ◽

A. Rajesh ◽

B. Ramana Murthy ◽

N. C. Venkateswartlu

Keyword(s):

Negative Correlation ◽

Minimum Temperature ◽

Significant Positive Correlation ◽

Insect Pests ◽

Abiotic Factors ◽

Insect Pest ◽

Significant Negative Correlation ◽

Maximum Temperature ◽

Seasonal Incidence ◽

Positive Correlation

Studies on seasonal incidence of sucking insect pests carried out with three dates of sowing viz., early (July 15th), normal (July 30th) and late (August 15th) revealed that the incidence of leafhoppers, aphids and thrips started from 5 to 14 DAS (days after sowing) and continued till harvesting. In early sown crop, the incidence of leafhoppers started from 31 SW and incidence of aphids and thrips started from 30 SW and continued up to 42 and 43 SW for leafhoppers and aphids, respectively and 41 SW for thrips. In normal sown crop, incidence of leafhoppers and aphids started from 32 SW and incidence of thrips started from 31 SW and continued till the end of 45 SW for all the three pests. In late sown crop, the incidence of leafhoppers started from 35 SW and incidence of aphids and thrips started from 34 SW and continued up to 46 and 47 SW for leafhoppers and aphids, respectively and 46 SW for thrips. Correlation studies revealed that incidence of leafhoppers exhibited significant negative correlation with maximum temperature (r = -0.467, -0.442 and -0.464) and rainfall (r = -0.518, -0.529 and -0.742) during all the three dates of sowing (early, normal and late, respectively) and significant negative correlation with minimum temperature in late sown crop (r = -0.448). Aphids exhibited significant negative correlation with maximum temperature (r = -0.469, -0.521 and -0.472) and rainfall (r = -0.443, -0.450 and -0.721) in all the three dates of sowing (early, normal and late, respectively) while significant negative correlation with minimum temperature in early and late sown crop with r values -0.519 and -0.324. Thrips exhibited significant positive correlation with maximum temperature (r = 0.522, 0.459 and 0.447), significant negative correlation with rainfall (r = -0.458, -0.465 and -0.451) during three dates of sowing (early, normal and late, respectively) while significant negative correlation with relative humidity in early sown crop (r = -0.616) and significant positive correlation with minimum temperature in early sown crop (r = 0.463).

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Some behavioural aspects on the Hemidactylus species of Bangladesh

Journal of Biodiversity Conservation and Bioresource Management ◽

10.3329/jbcbm.v5i1.42187 ◽

2019 ◽

Vol 5 (1) ◽

pp. 77-84

Author(s):

MF Rabbe ◽

MF Jaman ◽

MM Rahman ◽

MM Alam

Keyword(s):

Insect Pest ◽

Significant Negative Correlation ◽

Breeding Strategy ◽

Body Structure ◽

Breeding Behavior ◽

Pest Population ◽

Female Body Size ◽

Life History Pattern ◽

Egg Number ◽

Behavioural Aspects

Hemidactylus is a taxonomically complex genus and little is known about its feeding and breeding behavior in Bangladesh. Most of the species of this genus have a preference to live within human habitations, and play an important role in ecosystem, controlling insect pest population. Their breeding strategy is almost similar with each other and associated with their body structure. Review of literature found that there is a relationship between life history pattern and their reproductive biology. They lay two eggs per clutch usually and the highest egg number (12) has been recorded for H. frenatus. Strong significant positive correlation (r = 0.91) was found for preclaocal-femoral pores and egg number. Besides, significant negative correlation was found for average female body size and egg number (r = 0.96). Previous work and observation records showed that feeding habit is almost similar among all species of Hemidactylus and dipteran insects were the mostly consumed food item. J. Biodivers. Conserv. Bioresour. Manag. 2019, 5(1): 77-84

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New record of Aulacophora foveicollis on Clerodendrumindicum (L.) Kuntze from North East India

Indian Journal of Agricultural Research ◽

10.18805/ijare.v50i6.6686 ◽

2016 ◽

Vol 50 (6) ◽

Author(s):

Shimantini Borkataki ◽

Purnima Das ◽

I. C. Boruah ◽

Abhijit Sharma

Keyword(s):

Population Density ◽

Significant Negative Correlation ◽

Climatic Conditions ◽

Maximum Temperature ◽

Regression Equations ◽

Seasonal Incidence ◽

Correlation Studies ◽

North East India ◽

North East ◽

Aulacophora Foveicollis

Aulacophora foveicollis, a polyphagous pest of more than 81 plant species is known for its voracious feeding habit. Studies on occurrence and population density of this pest were carried out under field conditions at Assam Agricultural University, Jorhat. Correlation studies revealed that population density of A. foveicollis showed significant negative correlation with maximum temperature and significant positive correlation with evening relative humidity. Multiple regression equations were developed for A. foveicollis to predict their seasonal incidence under the agro climatic conditions of Jorhat.

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Study of seasonal incidence and impact of abiotic factors on sucking pests of brinjal

Journal of Applied and Natural Science ◽

10.31018/jans.v9i1.1148 ◽

2017 ◽

Vol 9 (1) ◽

pp. 51-54

Author(s):

Shaik Javed ◽

K. Vijaya Lakshmi ◽

C. Narendra Reddy ◽

B. VidyaSagar ◽

M. Shanthi

Keyword(s):

Negative Correlation ◽

Significant Positive Correlation ◽

Abiotic Factors ◽

Significant Negative Correlation ◽

Aphid Population ◽

Maximum Temperature ◽

Seasonal Incidence ◽

Positive Correlation ◽

Leaf Hopper ◽

The Impact

The present investigation was undertaken to find the impact of abiotic factors on seasonal incidence and sucking pest complex of brinjal under field conditions during kharif 2015-2016. The incidence of leaf hopper population (2.80 Lh/L i.e., Leaf hopper mean population/leaf) was noticed during 34th standard week and reached peak by 40th standard week (5.00 Lh/L) (October) whereas the aphid population was noticed during the 34th standard week (3.00 Lh/L) and peak population observed during the 40th standard week (4.60 Lh/L) (October). Correlation studies showed that among the various abiotic factors, maximum temperature showed highly significant positive correlation (r= 0.77) and sunshine hours (r = 0.61) showed significant positive correlation with the leaf hopper population. In case of aphid population, maximum temperature showed significant positive correlation (r = 0.70), rainfall showed highly significant negative correlation (r = -0.74) and relative humidity evening (r = -0.59) showed significant negative correlation with aphid population. The present investigations will give a brief idea about how the abiotic factors influencing the sucking pests of brinjal.

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Influence of abiotic factors and hosts on seasonal dynamic of green lacewing, Chrysoperla carnea (Stephens)

Journal of AgriSearch ◽

10.21921/jas.v3i3.11380 ◽

2016 ◽

Vol 3 (3) ◽

Author(s):

ARVIND KUMAR ◽

POOJA KHULBE

Keyword(s):

Abiotic Factors ◽

Host Population ◽

Maximum Temperature ◽

First Year ◽

Green Lacewing ◽

Larval Population ◽

Correlation Studies ◽

Helianthus Annus ◽

Sunflower Crop ◽

Second Year

Influence of abiotic factors and hosts on population dynamics of green lacewing, Chrysoper lacarnea (Stephens) was studied in sunflower, Helianthus annus (Linn.).The maximum number of C. carnea population was found during mid March –mid April in the first year and mid April – mid May in the second year in sunflower crop. The maximum number of host population viz. egg and larva of Helicoverpa armigera and Myzuspe rsicae population were found during mid March –mid April in both the year and correlation studies revealed the positive and significant correlation between larval population of H. armigera, M. persicae and predator C. carnea. While there was no significant relationship found between eggs of H. armigera and C. carnea. The C. carnea population on H. annus during both the year was positively correlated with maximum temperature and found significant,while negatively correlated with relative humidity.However, no significant correlation of C. carnea was found with minimum temperature in both the year.

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The epidemiology of the common cold IV. The effect of weather

Journal of Hygiene ◽

10.1017/s0022172400045319 ◽

1965 ◽

Vol 63 (3) ◽

pp. 427-439 ◽

Cited By ~ 25

Author(s):

O. M. Lidwell ◽

R. W. Morgan ◽

R. E. O. Williams

Keyword(s):

Common Cold ◽

Partial Correlation ◽

Water Vapour Pressure ◽

Outdoor Temperature ◽

Weather Variables ◽

Smooth Curves ◽

Correlation Studies ◽

The Common ◽

Expected Values ◽

Time Of Year

An investigation has been made of the association between weather and the numbers of colds reported on a given day. The seasonal trends were eliminated by working with the differences between the observed values on any day and the expected values derived from smooth curves fitted to the averages for the time of year.Examination of nine weather variables for the day on which the colds were reported and for each of the 29 preceding days showed that only two, mean day temperature and water-vapour pressure at 9 a.m., were significantly correlated with the numbers of colds. Partial correlation studies showed that the strongest association was with lowered mean day temperature between 2 and 4 days before the reported onset of symptoms.Regression analysis demonstrated that the magnitudes of the associations were sufficient to account for the greater part of the seasonal variation in the incidence of the common cold in both London and Newcastle. A small effect of atmospheric pollution appeared in this analysis.These results suggest that some effect of low outdoor temperature promotes transmission of the virus or the development of disease.

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Seasonal Incidence of Major Sternorrhynchan Insect Pests Infesting Arecanut In South India

FLORA AND FAUNA ◽

10.33451/florafauna.v27i1pp101-108 ◽

2021 ◽

Vol 27 (1) ◽

Author(s):

Vinod Kumar Dubey ◽

C.M. Kalleshwaraswamy ◽

B.K. Shivanna

Keyword(s):

South India ◽

Field Experiments ◽

Insect Pests ◽

Transitional Zone ◽

Maximum Temperature ◽

Seasonal Incidence ◽

Correlation Studies ◽

Pseudococcus Longispinus ◽

Sunshine Hours ◽

Chrysomphalus Aonidum

Field experiments were conducted during 2019-20 to know the seasonal incidence of three species of sternorrhynchan insect pests infesting in arecanut viz., whitefly, Aleurocanthus arecae, armoured scale, Chrysomphalus aonidum and mealybug, Pseudococcus longispinus in two different locations under southern transitional zone. The study revealed that, all the three species infesting arecanut were active throughout the year. Correlation studies of whiteflies showed that, rainfall was significantly positively correlated and maximum temperature and sunshine hours were significantly negatively correlated. For armoured scales, non-significant positive correlation with minimum temperature and for the mealybug resulted that the maximum temperature was significantly positively correlated whereas the relative humidity was significantly negatively correlated.

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Association Between Weather Variables, Airborne Inoculum Concentration, and Raspberry Fruit Rot Caused by Botrytis cinerea

Phytopathology ◽

10.1094/phyto-09-16-0350-r ◽

2018 ◽

Vol 108 (1) ◽

pp. 70-82 ◽

Cited By ~ 3

Author(s):

Odile Carisse ◽

Vanessa McNealis ◽

Alissa Kriss

Keyword(s):

Meteorological Data ◽

Fruit Rot ◽

Weather Variables ◽

Storage Duration ◽

Inoculum Concentration ◽

Crop Losses ◽

Airborne Inoculum ◽

Average Relative Humidity ◽

And Storage ◽

Field Plots

Botrytis fruit rot (BFR), one of the most important diseases of raspberry (Rubus spp.), is controlled primarily with fungicides. Despite the use of fungicides, crop losses due to BFR are high in most years. The aim of this study was to investigate the association between airborne inoculum, weather variables, and BFR in order to improve the management of the disease as well as harvest and storage decisions. Crop losses, measured as the percentage of diseased berries during the harvest period, were monitored in unsprayed field plots at four sites in three successive years, together with meteorological data and the number of conidia in the air. Based on windowpane analysis, there was no evidence of correlation between crop losses and temperature, vapor pressure deficit, wind, solar radiation, or probability of infection. There were significant correlations between crop losses and airborne inoculum and between crop losses and humidity-related variables, and the best window length was identified as 7 days. Using 7-day average airborne inoculum concentration combined with 7-day average relative humidity for periods ending 6 to 8 days before bloom, it was possible to accurately predict crop losses (R2 of 0.86 to 0.89). These models could be used to assist with managing BFR, timing harvests, and optimizing storage duration in raspberry crops.

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