Impact of weather on the occurrence pattern of insect pests on groundnut

Harish, G.; Nataraja, M.V.; Jasrotia, Poonam; Holajjer, Prasanna; Savaliya, S.D.; Gajera, Meera

doi:10.5958/0976-0571.2015.00108.3

Cited by 8 publications

(10 citation statements)

References 1 publication

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“…The multiple nonlinear regression equation fitted with weather factors during for prediction of aphids, leaf hopper and thrips population and presented in the These findings regarding relation of weather parameters to incidence of sap feeders were in conformity with the reports of Harish et al, 2015and Radhika, 2013for groundnut, Pramod, 2007 for sunflower and Wagh, 2014 in cotton.…”

Section: Regression Analysissupporting

confidence: 82%

Studies on Succession and Population Dynamics of Sap Feeders as Influenced by Weather on Sesame

Saritha¹,

Sirisha²,

Haseena³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

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Population dynamics of sucking pests of sesame viz. thrips, whitefly, leaf hoppers and aphids were studied. Correlation between the pest population and weather parameters was analyzed and regression equations were developed. Incidence of aphids, leaf hoppers and thrips on sesame crop during kharif season has started on 25 th SMW. Thrips (7.3/ plant) attained peak in the 30 st SMW, whereas, whitefly population reached peak during 27 th SMW with population of 1.7/ plant, whereas, leaf hopper (2.8/plant) and aphid population (12.1/plant) reached the peak in the 31 st SMW. Thrips population exhibited significant positive correlation with mean temperature (r=0.501) and non-significant negative correlation with mean relative humidity(r=-0.312) and rainfall (r=-0.498). Whitefly population showed non-significant positive correlation with mean atmosphere temperature(r = 0.285) and mean relative humidity(r = 0.028) and nonsignificant negative correlative with rainfall (r = -0.452). Leaf hopper exhibited significant positive correlation with mean temperature (r = 0.667) while, non-significant negative correlation with mean relative humidity(r = -0.325) and rainfall(r = -0.296). Aphid population showed significant positive correlation with mean atmosphere temperature(r = 0.667) and non-significant negative correlative with mean relative humidity(r = -0.236) and rainfall (r = -0.444). Incidence of thrips, whitefly, leaf hoppers and aphids on sesame crop during rabi-summer season has started on3 rd SMW. Thrips (3.22/plant), white flies (2.48/plant) leaf hoppers (10.1 /plant) and aphids (12.8/plant) reached the peak in the 10 th SMW. The correlation between weather parameters and sucking pest population followed the pattern similar to kharif season. Regression analysis data of revealed that the multiple non-linear regression equations are sufficient to predict the pest population with prevailing weather parameters.

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Section: Regression Analysissupporting

confidence: 82%

Studies on Succession and Population Dynamics of Sap Feeders as Influenced by Weather on Sesame

Saritha¹,

Sirisha²,

Haseena³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

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“…During the year 2018, the fourth sowing window 28 th MW (S4) with the varieties JL-501 (V1), RHRG-6083 (V2) and TAG-24 (V3) and JL-776 (V4) recorded the mean incidence of larva (mrl -1 ) was 3.00, 1.93, 3.24 and 1.34 which was peak with 4.67, 3.00, 5.04 and 2.09 larva (mrl -1 ), resulting the peak population of larva (mrl -1 ) was noticed at 36 th MW with sowing window 28 th MW, during both the year 2017 and 2018. These results are in conformity with the results of Rathod (2006) [10] , Arvind Kumar (2014) [11] , Harish et al (2014) [12] , Roopa and Ashok Kumar (2014) [13] and Nath et al (2017) [14] . 6 and 7) and forewarning models were developed are given in Table 8.…”

Section: Population Dynamics Of Spodoptera Litura Larva (Mrl -1 ) On Different Groundnut Varieties Under Sowing Window (S2) 26 Th Mwsupporting

confidence: 91%

“…These results are in conformity with the results of Rathod (2006) [10] , Arvind kumar (2014) [11] , Harish et al (2014) [12] , Roopa and Ashok kumar (2014) [13] and Nath et al (2017) [14] . [10] , Arvind Kumar (2014) [11] , Harish et al (2014) [12] , Roopa and Ashok Kumar (2014) [13] and Nath et al (2017) [14] .…”

Section: Population Dynamics Of Spodoptera Litura Larva (Mrl -1 ) On Different Groundnut Varieties Under Sowing Window (S2) 26 Th Mwsupporting

confidence: 90%

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Population dynamics and forewarning models for prediction of population of tobacco leaf eating caterpillar, Spodoptera litura (Fab.) Under different sowing window and groundnut varieties

Wankhede¹,

Kharbade²,

Sthool³

et al. 2020

J. Entomol. Zool. Stud.

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The correlation between weather parameter and population of tobacco leaf eating caterpillar, Spodoptera litura (Fab.) larva (mrl -1 ) on different groundnut varieties at different sowing windows and forewarning models for prediction of population of tobacco leaf eating caterpillar, Spodoptera litura (Fab.) during kharif season, 2017 and 2018. The experiment was laid out in split plot design with three replications.

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“…In another study with multiple regression analysis Yu and Lee (2002) described relationships between environmental variables and catchper-unit-effort (CPUE) of Sinogastromyzon puliensis. In their studies, Harish et al (2014) pointed out that Multiple regressions analysis indicate the population of S. litura and leafhopper with different weather parameters has a significant interaction during kharif whereas; population of leafhopper and thrips has a significant interaction with different weather parameters during summer.…”

Section: Introductionmentioning

confidence: 99%

Application of multiple regression analysis to morphometric characters obtained from Serranus cabrilla (linnaeus, 1758) by using stepwise method

Sangün

Güney

2017

IJAR

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In fisheries science, high number of morphometric measures (independent variables) taken from different parts of the fish complicates the estimation of the body weight (dependent variable). Therefore, the researchers are seeking for a solution facilitating the interpretation of the equations of correlation between the characteristics. One way to deal with this challenge is the dimension reduction by means of stepwise multiple regression analysis. The aim of this study is to explain total variation with the same accuracy by using fewer independent variables. To accomplish this, 12 morphometric measures from 210 individuals of Serranus cabrilla were measured to estimate the body weight. Firstly, the 95% of the variation was explained by means of multiple regression analysis by using all variables. Then, by step-wise method, the same results were achieved with fewer independent variables. Finally, the variables with inter-multicollinearity eliminated and with two remaining independent variables determination coefficients resulted as 95%. The result showed that using more variables does not create significant distinction for accuracy to estimate the body weight although; the total length and body dept was the most effective features for weight.

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Impact of weather on the occurrence pattern of insect pests on groundnut

Cited by 8 publications

References 1 publication

Studies on Succession and Population Dynamics of Sap Feeders as Influenced by Weather on Sesame

Studies on Succession and Population Dynamics of Sap Feeders as Influenced by Weather on Sesame

Population dynamics and forewarning models for prediction of population of tobacco leaf eating caterpillar, Spodoptera litura (Fab.) Under different sowing window and groundnut varieties

Application of multiple regression analysis to morphometric characters obtained from Serranus cabrilla (linnaeus, 1758) by using stepwise method

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