Sanjeev Kumar Kataria, Paramjit Singh, Bhawana and Jaswinder Kaur

Size: px
Start display at page:

Download "Sanjeev Kumar Kataria, Paramjit Singh, Bhawana and Jaswinder Kaur"

Transcription

1 2017; 5(4): E-ISSN: P-ISSN: JEZS 2017; 5(4): JEZS Received: Accepted: Sanjeev Kumar Kataria Paramjit Singh Bhawana Jaswinder Kaur Population dynamics of whitefly, Bemisia tabaci Gennadius and leaf hopper, Amrasca biguttula biguttula Ishida in cotton and their relationship with climatic factors Sanjeev Kumar Kataria, Paramjit Singh, Bhawana and Jaswinder Kaur Abstract The present study was carried out to find the correlation between population dynamics of whitefly and leafhopper with weather variables from June-November 2013 to June-November 2016 and June- November 2015 to June-November 2016, respectively. The main objectives of the study are to observe the population dynamic and correlate the population of whitefly and leafhopper with various climatic factors. The results revealed that peak population of whitefly was recorded in last fortnight of September in 2013(98.60 whitefly adult per 3leaves), 2014( whitefly adult per 3leaves) and 2016 (38.42 whitefly adult per 3leaves) whereas it shifted towards early season i.e. from July to August during 2015(Range= whitefly adults per 3 leaves). Leaf hopper peak infestation was observed in first fortnight of July during 2015(4.20 leafhopper per 3 leaves) and 2016(4.60 leafhopper per 3 leaves). Simple correlations studies revealed that during 2013 and 2014, the whitefly population was negatively correlated with temperature, relative humidity and rainfall. During 2015, population of whitefly showed a significant positive correlation with minimum temperature (r=0.657) and evening humidity (r=0.833) whereas during 2016, it was negatively correlated with rainfall and non-significant positive correlation with all other factors. Leaf hopper has a non-significant positive correlation with all the three weather variables during 2015 whereas negative correlation with temperature during 2016 and positive correlation with all other weather variables. Keywords: Cotton, population dynamics, whitefly, leaf hopper, correlation, weather variables Correspondence Sanjeev Kumar Kataria 1. Introduction Cotton (Gossypium spp.) being the king of natural fibres is popularly known as 'white gold' and 'silver fibre' [18]. It is the principal cash crop and its every plant part is useful to the farmer in one way or the other [40]. In India, cotton is cultivated over a large area and the country ranks first in the world with respect to area under cotton cultivation [39]. In Punjab, the total area, production and productivity of cotton in was 2.56 lakh hectares, 9.00 lakh bales of 170kg and 598kg lint per hectare respectively [4]. One of the most important reasons for low productivity is the damage done by insect-pests [38]. During growth period of cotton crop, 148 insect pests have been recorded, out of which only 17 species have been recorded as major insect pests of cotton crop [1]. Insect-pests of cotton can primarily be divided into sucking pests, foliage pests and bollworms. Among these, whitefly (Bemisia tabaci Gennadius), leaf hopper (Amrasca biguttula biguttula Ishida), thrip (Thrips tabaci Lindemann), aphid (Aphis gossypii Glover) and mealy bug (Phaenococcus solenopsis Tinsley) are very serious sucking insect pests, tobacco caterpillar (Spodoptera litura Fabricius) is a serious pest of cotton foliage whereas pink bollworm (Pectinophora gossypiella Saunders), spotted bollworm (Earias vitella Fabricius) and American bollworm (Helicoverpa armigera Hubner) are serious pests of cotton bolls [21]. In last few decades, bollworm attack was a serious problem but this problem has been solved to some extent with the introduction of Bt cotton varieties and a significant change in the cropping system in the cotton growing areas have been observed [12]. But the threat caused by sucking pests still remains unsolved. Among the sucking pests, whitefly, Bemisia tabaci Gennadius and leaf hopper Amrasca biguttula biguttula Ishida are of major importance [28]. Whitefly sucks sap from the plants which leads to reduction in growth and vigor of the plants. It also act as vector of many viral diseases of cotton especially cotton leaf curl disease [3]. Nymphs and adults of leaf hopper suck sap from leaves and cause damage to the lower surface ~ 976 ~

2 of leaves by injecting its toxic saliva into tissues which cause shedding of leaves and young bolls along with reduction in fruiting capacity greatly [32]. Climatic conditions have a great influence on the population, survival, development, out-breaks, reproductive capacity and activity of pest as well as predators and parasites either directly or indirectly [5]. For developing a weather based pest fore-casting system, information regarding population dynamics in relation to prevalent meteorological parameters (temperature, relative humidity, rainfall etc.) is needed. Moreover, the same meteorological parameters also influence the growth and development of crop. Therefore, a thorough understanding of interaction between the crop growth stage and meteorological parameters/pest dynamics is a prerequisite for weather based pest forecasting model [43]. Prediction of peak period of activity of a given pest can enable us to develop suitable control measures that will ultimately add to increase in productivity [11]. The main difficulty in resolving the pest management issue is the inadequate knowledge about the characteristics of the pest dynamics that leads to inadequate pest management conditions. Population dynamics play an important role in integrated pest management module [13]. Furthermore, cotton growers of our country come across severe losses due to pests. To avoid the loss incurred by the farmers and to assist them in better production, successful pest prediction methodology is needed. Pest prediction technology is generally based on population dynamics data of the pest taken over on a large area in the past few years. Hence, with this objective, the present research was carried out to observe population dynamics of whitefly and leaf hopper and its relation to weather variables which will assist the scientist to know the trend of population under those similar weather conditions. Our little effort will be supportive to move one step forward towards protection of cotton crop from sucking insect-pests in the present scenario. 2. Materials and methods A field experiment was conducted at Regional Research Station, Bathinda under the All India Coordinated Cotton Improvement Project (AICCIP) to study the population dynamics of whitefly for consecutive four years i.e. 2013, 2014, 2015 and 2016 and that of leaf hopper for consecutive two years 2015 and 2016 on transgenic cotton cultivar under unprotected conditions and their correlation with climatic factors viz. maximum and minimum temperature, morning and evening humidity and total rainfall. The experiment was conducted in a randomized block design with three replications in a plot size of 500m 2 with spacing of 67.5cm (plant to plant) and 75cm (row to row). The population data was recorded at weekly interval on five randomly selected plants per plot with three leaves per plant before a.m. The standard meteorological data i.e. data for temperature, humidity and rainfall was collected from Agro-meteorological Department of Regional Research Station, Bathinda. 2.1 Statistical analysis Various graphs were also formed to observe the population trend of whitefly and leaf hopper with the help of Microsoft excel. The data were subjected to simple correlation between various weather factors and population dynamics of the pests was calculated by using following formula: where Correl (X, Y) is the simple correlation coefficient x is first variable i.e. abiotic component Y is the second variable i.e. population of insect-pest is the mean of first variable is the mean of second variable 3. Result and discussion 3.1 Population dynamics of whitefly and leaf hopper Whitefly The data for population of whitefly was taken for consecutive four years i.e. 2013, and 2016 and is depicted in Fig.1. The comparison of data for four years shows that the population of whitefly varies in different years. During 2013, whitefly started its appearance on cotton crop from 25 th standard meteorological week (SMW) but it attained its pest status only during 34 th SMW and maintained its pest status till 42 nd SMW. It attained its peak in 39 th SMW with a population of adults per three leaves. In 40 th week, the population declined to 57.20, again increased to adults per three leaves in 41 st week, then declined to in 42 nd SMW. During 2014, whitefly started its appearance from 26 th standard meteorological week (SMW) but it attained its pest status only in 37 th SMW and maintained it till 42 nd SMW. It attained its peak in 39 th SMW with a population of adults per three leaves, declined to in 40 th week and then afterwards declined and was found below ETL from 43rd week onwards. During 2015, whitefly attained pest status in 25 th SMW and maintained its pest status till 37 th SMW. The population started increasing, reached to adults per three leaves in 30 th SMW and was at its peak ( adults per three leaves) during 31 st SMW. It remained high till 35 th SMW, then started declining reached below ETL from 38 th SMW onwards and then no whitefly was seen on cotton crop from 43 rd week onwards. During 2016, whitefly attained pest status during 30 th SMW with a population of adults per three leaves, adults per three leaves in 31 st SMW and adults per three leaves in 36 th SMW. The highest population of adults per three leaves was attained during 37 th week, afterwards the population declined and whitefly lost pest status. A lot of work has been done by various workers on population dynamics of whitefly. Similar observations were made by different scientists on the peak activity period of whitefly [37, 43, 24, 20, 27, 38, 23, 30, 36, 10, 2, 28, 14] Leaf hopper The data for population of leaf hopper was taken for the year 2015 and 2016 only. During 2015, the population of leaf hopper was observed from 25 th week onwards but it attained its pest status only during 29 th and 31 st SMW with a population of 2.1 and 4.2 adults per three leaves respectively. In all other SMWs, the population of leaf hopper remained below ETL. During 2016, leaf hopper started attaining pest status during 28 th SMW with a population of 3.2 adults per three plants and maintained it till 35 th SMW with a population of 3.0 adults per three leaves, then declined to 1.8 adults per three leaves and then again increased to 3.5 in 37 th SMW, ~ 977 ~

3 then declined to 1.8, again increased to 2.0 adults per three leaves and then afterwards declined and no more remained as pest (Fig. 2). Similar finding were observed that peak population of leafhopper during 28 th to 34 th SMW by group of the scientists [24, 25, 23, 2, 20, 38, 28]. Whereas some scientist found that maximum population was recorded in 37 th to 38 th SMW [29, 42] and some recorded leaf hopper throughout out the season [17, 33, 41] which were opposite to this finding. 3.2 Relationship of population dynamics with weather variables Whitefly By critically analyzing the data, it was inferred that pest population was abundant when climatic conditions became suitable for its activity. The data presented in table 1 shows that during 2013, population of whitefly crossed ETL during 34 th SMW when the maximum and minimum temperature was 36.1 ºC and 27.0 ºC respectively and morning and evening humidity was 88.9% and 50.4% and rainfall of 2.0mm. Population of the pest reached at its peak of during 39 th SMW at a maximum temperature of 34.3ºC, minimum temperature of 24.0 ºC, morning humidity of 89.7%, evening humidity of 48.9% and no rainfall. It remained high till 41 st SMW when the maximum and minimum temperature was 32.5 ºC and 22.7 ºC respectively, morning and evening humidity was 84.4 and 44.9% respectively and rainfall was 5.6mm. During 2014 (Table 2) population build-up of the insect started later in the season as compared to 2013 i.e. during 37 th SMW at 34.6 ºC (max. temp.), 24.5 ºC (min. temp.), 89.0% (morning humidity), 53.1% (evening humidity) and 1.2mm rainfall. It reached at its highest (101.00) during 39 th SMW at a temperature range of ºC, average humidity of 59.0% and no rainfall. Then afterwards, it started decreasing but remained above ETL till 42 nd SMW. The data presented in Table 3 shows that during 2015, whitefly attack started earlier in the season and its population crossed ETL with a population of adults per three leaves during 25 th SMW when maximum and minimum temperature was 38.4 ºC and 27.6 ºC respectively, morning and evening relative humidity was 75.7 and 41.7% respectively and rainfall was 0.5mm. It reached at a peak of adults per three leaves during 28 th week when maximum and minimum temperature was 33.7 ºC and 26.6 ºC respectively, morning and evening humidity was 92.9 and 63.1% and rainfall was 39.7mm. Whitefly population attained second peak ( adults per three leaves) during 31 th SMW at a temperature of 31.7 ºC (max.), 25.6 ºC (min.), relative humidity of 92.1% (morning), 72.6% (evening) and 44.7mm rainfall. It attained third peak ( adults per three leaves) during 34 th SMW at a temperature of 34.8 ºC (max.), 25.1 ºC (min.), relative humidity of 87.1% (morning), 57.4% (evening) and 44.7 mm rainfall. After this, whitefly population started decreasing and reached below ETL during 38 th SMW at a temperature of 30.7 ºC (max.), 24.9 ºC (min.), relative humidity of 88.9% (morning), 59.6% (evening) and 74.7mm rainfall. After 43 rd SMW onwards whitefly attack on cotton stopped perhaps the conditions for its growth and development were not suitable either due to crop maturity or due to adverse climatic conditions. The data taken for whitefly population with respect to meteorological parameters for the year 2016 is tabulated in Table 4. The data shows that the overall population of whitefly was lowest in The population attained pest status only during 30 th and 31 st SMW and maintained it for two consecutive weeks with a population of and adults per three leaves when maximum and minimum temperature was 36.0 ºC, 35.2 ºC and 27.7 ºC, 26.7 ºC respectively, morning and evening humidity was 77.1, 81.0 and 60.7, 64.9% respectively and rainfall of 2.5 and 2.3mm respectively. After this population of the insect declined and reached below ETL, again crossed ETL during 36 th and 37 th SMW when maximum and minimum temperature was 33.9 ºC, 34.6 ºC and 24.1 ºC, 23.9 ºC respectively, morning and evening humidity was 84.9, 80.8% and 64.1, 61.1% respectively and rainfall of 12.2 and 1.2mm respectively. There are some references available in literature on influence [8, 22, of climatic factors on population dynamics of whitefly 34] Leaf hopper The data for population of leaf hopper taken for consecutive two years i.e and 2016 is presented in Table 3 and 4 respectively. The data shows that during 2015, the population of leaf hopper remained below ETL during all the meteorological weeks except for 29 th and 31 st SMW when maximum and minimum temperature was 35.3 ºC, 31.7 ºC and 26.6 ºC, 25.6 ºC respectively, morning and evening humidity was 87.4, 92.1% and 60.9, 72.6% respectively and rainfall of 85.6 and 44.7mm respectively whereas during 2016, the population of leaf hopper remained above ETL during most of the season at a temperature range of ºC (maximum temperature) and ºC (minimum temperature), humidity of % (morning) and % (evening) and rainfall of mm. similar results were observed in study by different worker [35, 22, 31]. 3.3 Correlation of insect-pest population with weather factors Whitefly The population data of whitefly was subjected to statistical analysis for finding its correlation coefficient with maximum and minimum temperature, morning and evening humidity and rainfall (Table 5). During 2013 and 2014, the population of whitefly was negatively correlated with maximum and minimum temperature, evening relative humidity and rainfall. Similar observation on correlation between whitefly and rainfall was observed by Kalkal [21], Bhute et al. [9] It was not significantly correlated with morning humidity. During 2015, it was observed that population of whitefly has a significant positive correlation with minimum temperature (r = 0.657) and evening humidity (r = 0.833) whereas no significant correlation with maximum temperature, morning humidity and rainfall. This results of this study during 2015, was opposite to study of another researchers Kadam et al. [19], Ashfaq et al. [7] and Akram et al. [3]. During 2016, population of whitefly has a non-significant positive correlation with maximum and minimum temperature, morning and evening humidity whereas it has a negative correlation with rainfall (Table 5) Leaf hopper The population data of leaf hopper was also subjected to statistical analysis for finding its correlation with these weather variables. It was observed that population of leaf hopper has a non-significant positive correlation with all the three weather variables i.e. temperature, humidity as well as rainfall during 2015 whereas it has a non significant negative correlation with minimum temperature during 2016 (Table 5). Leaf hopper population had a non-significant positive correlation with all other weather variables during this year. ~ 978 ~

4 A lot of work has been done on correlation relationship between pest population dynamics and weather variables and similar observation were recorded by Soni and Dhakad [42]. However the study conducted by Kadam et al. [19] also similar with our findings with respect to maximum temperature but results were differing in relative humidity and rainfall. Our study again differ with Hussain et al. [15] findings in term of maximum temperature, rainfall and relative humidity temperature while it was in line with one parameter i.e. minimum temperature and significantly positively. The finding of Laxman et al. [26] does not support our findings as his study showed negative correlation with rainfall. Table 1: Population dynamics of whitefly in relation to weather factors during Dates Standard Meteorological Temperature ( C) Relative Humidity (%) Total RF Population of whitefly Week (SMW) Tmax Tmin Average M E Average (mm) per three leaves 18 Jun-24Jun Jun-01 Jul Jul-08 Jul Jul-15 Jul Jul-22 Jul Jul-29 Jul Jul-05 Aug Aug-12 Aug Aug-19 aug Aug-26 Aug Aug-02 Sept Sept-09 Sept Sept-16 Sept Sept-23 Sept Sept-30 Sept Oct-07 Oct Oct-14 Sept Oct- 21 Oct Oct-28 Oct Oct-04 Nov Table 2: Population dynamics of whitefly in relation to weather factors during Dates Standard Meteorological Temperature ( C) Relative Humidity (%) Total RF Population of whitefly Week (SMW) Tmax Tmin Average M E Average (mm) (per three leaves) 18 Jun-24Jun Jun-01 Jul Jul-08 Jul Jul-15 Jul Jul-22 Jul Jul-29 Jul Jul-05 Aug Aug-12 Aug Aug-19 aug Aug-26 Aug Aug-02 Sept Sept-09 Sept Sept-16 Sept Sept-23 Sept Sept-30 Sept Oct-07 Oct Oct-14 Sept Oct- 21 Oct Oct-28 Oct Oct-04 Nov ~ 979 ~

5 Dates Table 3: Population dynamics of whitefly & leaf hopper in relation to weather factors during Standard Meteorological Week (SMW) Temperature ( C) Relative Humidity (%) Tmax Tmin Average M E Average Total RF (mm) Population of whitefly per three leaves Population of leaf hopper per three leaves 18 Jun-24Jun Jun-01 Jul Jul-08 Jul Jul-15 Jul Jul-22 Jul Jul-29 Jul Jul-05 Aug Aug-12 Aug Aug-19 aug Aug-26 Aug Aug-02 Sept Sept-09 Sept Sept-16 Sept Sept-23 Sept Sept-30 Sept Oct-07 Oct Oct-14 Sept Oct- 21 Oct Oct-28 Oct Oct-04 Nov Dates Table 4: Population dynamics of whitefly & leaf hopper in relation to weather factors during 2016 Standard Meteorological Week (SMW) Temperature ( C) Relative Humidity (%) Tmax. Tmin. Average M E Average Total RF (mm) Population of whitefly per three leaves Population leaf hopper per three leaves 18 Jun-24Jun Jun-01 Jul Jul-08 Jul Jul-15 Jul Jul-22 Jul Jul-29 Jul Jul-05 Aug Aug-12 Aug Aug-19 aug Aug-26 Aug Aug-02 Sept Sept-09 Sept Sept-16 Sept Sept-23 Sept Sept-30 Sept Oct-07 Oct Oct-14 Sept Oct- 21 Oct Oct-28 Oct Oct-04 Nov Table 5: Correlation matrix (r) of population of sucking pests and weather variables during different years Year Insect-pest Maximum temperature Minimum temperature Morning humidity Evening humidity Total RF ( C) ( C) (%) (%) (mm) 2013 Whitefly Whitefly Whitefly * * Leaf hopper Whitefly Leaf hopper * Table value of r at 5% probability = 0.444, at 1% probability = at df=18 where df refers to degree of freedom ~ 980 ~

6 Fig 1: Population dynamics of whitefly with respect to standard meteorological weeks during consecutive four years Fig 2: Population dynamics of leaf hopper with respect to standard meteorological weeks during consecutive two years 4. Conclusion From the above discussion, it is concluded that whitefly and leaf hopper remained active throughout crop season with peak population of whitefly was recorded in last fortnight of September (38 th & 39 th SMW) in 2013, 2014and 2016 whereas it shifted towards early season i.e. from July to August during Leaf hopper peak infestation was observed in first fortnight of July during 2015and During 2013 and 2014, the whitefly population was negatively correlated with temperature, relative humidity and rainfall. However population of whitefly showed a significant positive correlation with minimum temperature and evening humidity in During 2016, it was negatively correlated with rainfall and non-significant positive correlation with minimum, maximum temperature and relative humidity. Leaf hopper has a non-significant positive correlation with temperature, humidity as well as rainfall during 2015 whereas ~ 981 ~ negative correlation with temperature during 2016 and positive correlation with all other weather variables. Research works are planned to understand pest dynamics with the use of systematic procedures on pest surveillance data sets. This research work can further be used to understand pest dynamics forecasting models which would help the farmers in the pest management strategies. 5. Acknowledgement We gratefully acknowledge the Punjab Agricultural University Regional Research Station Bathinda for providing the facilities. 6. References 1. Abbas MA. General Agriculture. 2 nd Ed., Emporium Publisher, Pakistan. 2001, Aggarwal N, Brar DS, Butter GS. Evaluation of Bt and

7 non-bt versions of two cotton hybrids under different spacing against sucking insect-pest and natural enemies. Journal of Cotton Research and Development. 2007; 21: Akram M, Hafeez F, Farooq M, Arshad M, Hussain M, Ahmed S et al. A case to study population dynamics of Bemisia tabaci and Thrips tabaci on Bt and non-bt cotton genotypes. Pakistan Journal of Agriculture Sciences. 2013; 50(4): Anonymous. Area, yield and production of cotton in Punjab. Source: Cotton Advisory Board (CAB). 2017, Cotton Corporation of India. 5. Arif MJ, Abbas G, Saeed S. Cotton in danger. Dawn, The Internet Edition. 2007, Arif MJ, Gogi MD, Mirza M, Zia K, Hafiz F. Impact of plant spacing and abiotic factors on population dynamics of sucking insect pests of cotton. Pakistan Journal of Biological Sciences. 2006; 9: Ashfaq M, Noor-ul-Ane Zia K, Nasreen A, Hasan M. The correlation of abiotic factors and physico-morphic characteristics of (Bacillus thuringenesis) Bt transgenic cotton with whitefly, Bemisia tabaci (Homoptera: Aleyrodidae) and leaf hopper, Amrasca devastans (Homoptera: Jassidae) populations. African Journal of Agricultural Research. 2010; 5(22): Babu SR, Meghwal SL. Population dynamics and monitoring of sucking pests and bollworms on Bt cotton in humid zone of Southern Rajasthan. The Bioscan. 2014; 9(2): Bhute NK, Bhosle BB, Bhede BV, More DG. Population dynamics of major sucking pests of Bt cotton. Indian Journal of Entomology. 2012; 74(3): Chundawat AS, Ameta OP. Incidence of sucking insect pests of okra in relation to weather parameters. Indian Journal of Applied Entomology. 2011; 25(1): Damos PT, Soultani MS. Development and statistical evaluation of models in forecasting moth phenology of major lepidopterous peach pest complex for integrated pest management programs. Crop Protection. 2010; 29: Dhawan AK, Shera PS, Kumar V. Bt cotton in India: adoption and impact analysis. In: A. K. Dhawan, Balwinder Singh, Ramesh Arora and Manmeet Brar Bhullar (eds): Recent Trends in Integrated Pest Management, Invited papers of the 3rd congress on Insect Science, Pest Management for Food Security and Environmental Health. INSAI, PAU, Ludhiana, India, 2011, Fakhri MSA, Jamal K. Population dynamics of major insect-pests of cotton in relation to abiotic factors. International Journal of Advanced Biological Research. 2012; 2(3): Hegde MM, Srinivas M, Biradar DP, Udikeri SS, Khadi BM. Seasonal incidence of sucking pests and their natural enemies on cotton at Siruguppa. Paper presented. Int. Symp. Strat. Sust. Cotton Prodn.- A Global vision, Karnatka, 2004, Hussain M, Akram M, Abbas Q, Ahmad S, Babar TK, Karar H. Impact of environmental factors on the population dynamics of leaf hopper Amrasca biguttula biguttula Ishida (Homoptera: Jassidae) on various transgenic cotton genotypes in Multan. Academic Journal of Entomology. 2014; 7(1): ICAC (International Cotton Advisory Committee). World Cotton Production and Mill Use: from This Season to the Next Jindal J, Brar DS. Population dynamics of sucking insectpests on hirsutum cotton in relation to weather parameters. Indian Journal of Ecology. 2005; 32: Kadam DB, Kadam DR, Umate SM, Lekurwale RS. Bioefficacy of newer neonicotenoids against sucking insect pests of Bt cotton. International Journal of Plant Protection. 2014; 2(7): Kadam DB, Kadam DR, Umate SM. Effects of weather parameters on incidence sucking pests on Bt cotton. International Journal of Plant Protection. 2015; 8(1): Kalkal D, Lal R, Dahiya KK, Bharti YP. Population dynamics of sucking pest & its correlation with abiotic factors. Agriways. 2013; 1(1): Kalkal D, Lal R, Dahiya KK, Singh M, Kumar A. Population dynamics of sucking pest & its correlation with abiotic factors. Indian Journal of Agriculture Research. 2015; 49(5): Kaur P, Singh H, Butter NS. Formulation of weatherbased criteria rules for the prediction of sucking pests in cotton (Gossypium hirsutum) in Punjab. Indian Journal of Agricultural Sciences. 2009; 79(5): Kiran VS, Ameta OP, Swaminathan R, Upadhyay B. Seasonal incidence of major sap sucking pests of cotton. Indian Journal of Applied Entomology. 2013; 27(1): Lanjar AG, Solangi BK, Khuhro SA, Solangi AW. Insect Infestation on Bt and Non-Bt Cotton Cultivars. Food Science and Quality Management. 2014; 27: Latif Z, Ahmed S, Sohail K, Khan L, Ishfaq M. Population density of leaf hoppers (Amrasca biguttula biguttula) and thrips (Thrip tabaci) on cotton crop and efficacy of some botanical insecticides against cotton leaf hoppers and thrips. Journal of Biodiversity and Environmental Sciences. 2015; 7(1): Laxamn P, Samatha C, Sammaiah C. Sucking pest on Bt and non Bt-cotton. Indian Journal of Entomology. 2013; 75(2): Meena RS, Ameta OP, Meena BL. Population dynamics of sucking pests and their correlation with weather parameters in chilli Capsicum annum L. crop. The Bioscan. 2013; 8(1): Mohapatra LN. Population dynamics of sucking pests in hirsutum cotton and influence of weather parameters on its incidence in western Orissa. Journal of Cotton Research and Development. 2008; 22(2): Nagendra S. Studies on population dynamics of key pests of cotton. Journal of Agricultural Technology. 2015; 11(5): Netam HK, Gupta DR, Soni S. Seasonal incidence of insect-pests and their bio-control agents on Soybean. Journal of Agriculture and Veterinary Science. 2013; 2(2): Prasad NVVSD, Rao NHP, Mahalaxmi MS. Population dynamics of major sucking pests infesting cotton and their relation to weather parameters. Journal of Cotton Research and Development. 2008; 22: Ratanoara A, Sheikh M, Patel JR, Patel NM. Effect of weather parameter on brinjal leaf hopper (Amrasca biguttula biguttlua) Ishida. Gujarat Agricultural University Research Journal. 1994; 19: Saini RK, Niwas R, Kochhar ML. Population dynamics of leaf hopper (Amrasca bigutulla bigutulla) on cotton (Gossypium hirsutum) in relation to weather variables. Indian Jounal of Agriculture Sciences. 2008; 78:1000- ~ 982 ~

8 Selvaraj S, Adiroubane D, Ramesh V. Population dynamics of important insect-pests of bhindi in relation to weather parameters. Pestology. 2011; 34: Selvaraj S, Ramesh V. Seasonal abundance of whitefly, Bemisia tabaci Gaennadius and their relation to weather parameters in cotton. International Journal of Food, Agriculture and Veterinary Sciences. 2012; 2(3): Shahid MR, Farroq J, Mohmmod A, Ilahi F, Riaz M, Shakeel A et al. Seasonal occurrence of sucking insectpest in cotton ecosystem of Punjab Pakistan. Advances in Agriculture and Botanics. International Journal of the Bio Flux Society. 2012; 4(1): Sharma R, Sharan L. Impact of abiotic factors on seasonal incidence of sucking pests in transgenic cotton ecosystem. International Journal of Current Advanced Research. 2016; 5(9): Shera PS, Kumar V, Aneja A. Seasonal abundance of sucking pests on transgenic Bt cotton vis-a-vis weather parameters in Punjab, India. Acta Phytologica et Entomologica Hungarica. 2013; 48(1): Shivanna BK, Gangadhara Naik B, Basavaraja MK, Nagaraja R, Kalleswara Swamy CM, Karegowda C. Impact of abiotic factors on population dynamics of sucking pests in transgenic cotton ecosystem. International Journal of Science and Nature. 2011; 2(1): Shivanna BK, Nagaraja DN, Manjunatha M, Naik MI. Seasonal incidence of sucking pests on transgenic Bt cotton and correlation with weather factors. Karnatka J. Agric. Sci. 2009; 22(3-spl. Issue): Sitaramaraju S, Prasad NVVSD, Krishnaiah PV. Seasonal incidence of sucking insect-pests on cotton in relation to weather parameters. Annals of Plant Protection Science. 2010; 18: Soni R, Dhakad NK. Seasonal incidence of cotton leaf hopper, Amrasca biguttula biguttula (Ishida) on trasgenic Bt cotton and their correlation with weather parameters. International Journal of Agriculture Innovations and Research. 2016; 4(6): Zia K, Fareed MS, Arshad M, Hafeez F, Khan RR. Impact of abiotic factors on population fluctuation of cotton whitefly (Bemisia tabaci) on transgenic and nontransgenic cotton cultivars in Faisalabad. Pakistan Entomology. 2015; 37(2): ~ 983 ~

Influence of Meteorological Factors on Population Build-Up of Aphids and Natural Enemies on Summer Okra

Influence of Meteorological Factors on Population Build-Up of Aphids and Natural Enemies on Summer Okra International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 3 (2017) pp. 2527-2537 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.603.286

More information

Influence of different nitrogen levels on the management of Bt cotton sucking pests

Influence of different nitrogen levels on the management of Bt cotton sucking pests 2017; 5(2): 16-21 E-ISSN: 2320-7078 P-ISSN: 2349-6800 JEZS 2017; 5(2): 16-21 2017 JEZS Received: 04-01-2017 Accepted: 05-02-2017 S Anusha Part of M.Sc (Ag) thesis submitted by the senior author to Acharya

More information

POPULATION DYNAMICS OF CHILLI THRIPS, Scirtothrips dorsalis HOOD IN RELATION TO WEATHER PARAMETERS BAROT, B.V., PATEL, J.J.* AND SHAIKH, A. A.

POPULATION DYNAMICS OF CHILLI THRIPS, Scirtothrips dorsalis HOOD IN RELATION TO WEATHER PARAMETERS BAROT, B.V., PATEL, J.J.* AND SHAIKH, A. A. POPULATION DYNAMICS OF CHILLI THRIPS, Scirtothrips dorsalis HOOD IN RELATION TO WEATHER PARAMETERS BAROT, B.V., PATEL, J.J.* AND SHAIKH, A. A. MAIN VEGETABLE RESEARCH STATION ANAND AGRICULTURAL UNIVERSITY,

More information

Development of regression models in ber genotypes under the agroclimatic conditions of south-western region of Punjab, India

Development of regression models in ber genotypes under the agroclimatic conditions of south-western region of Punjab, India Indian J. Agric. Res., 49 (3) 2015: 260-264 Print ISSN:0367-8245 / Online ISSN:0976-058X AGRICULTURAL RESEARCH COMMUNICATION CENTRE www.arccjournals.com/www.ijarjournal.com Development of regression models

More information

Seasonal incidence of major insect pests of okra in the north eastern hill region of India

Seasonal incidence of major insect pests of okra in the north eastern hill region of India Seasonal incidence of major insect pests of okra in the north eastern hill region of India T. BOOPATHI*, K. A. PATHAK, B. K. SINGH and AMITOSH KUMAR VERMA Division of Entomology, ICAR Research Complex

More information

Screening of different okra genotypes against major sucking pests

Screening of different okra genotypes against major sucking pests 2018; 6(2): 71-75 E-ISSN: 2320-7078 P-ISSN: 2349-6800 JEZS 2018; 6(2): 71-75 2018 JEZS Received: 11-01-2018 Accepted: 12-02-2018 Navneet Anoorag R Tayde Krishna Gupta Ghanendra Pal Patel Pushpendra Singh

More information

Research Article. Purti 1 *, Rinku 1 and Anuradha 2

Research Article. Purti 1 *, Rinku 1 and Anuradha 2 Research Article Correlation between the Incidence of Coriander Aphids (Hyadaphis Coriandri), Their Natural Enemies (Coccinellids) and Abiotic Factors of the Environment Purti 1 *, Rinku 1 and Anuradha

More information

National Academy of Agricultural Science (NAAS) Rating : Bioefficacy of New Insecticide Molecules Against Okra Aphids (Aphis gossypii Glover)

National Academy of Agricultural Science (NAAS) Rating : Bioefficacy of New Insecticide Molecules Against Okra Aphids (Aphis gossypii Glover) IJTA Bioefficacy of New Insecticide Molecules Against Okra Aphids (Aphis gossypii Glover) National Academy of Agricultural Science (NAAS) Rating : 3. 03 Serials Publications Bioefficacy of New Insecticide

More information

Bioefficacy of New Insecticide Molecules Against Okra Jassids (Amrasca biguttula biguttula Ishida)

Bioefficacy of New Insecticide Molecules Against Okra Jassids (Amrasca biguttula biguttula Ishida) Bioefficacy of New Insecticide Molecules Against Okra Jassids (Amrasca biguttula biguttula Ishida) National Academy of Agricultural Science (NAAS) Rating : 3. 03 Serials Publications Bioefficacy of New

More information

Effect of Weather Parameters on Population Dynamics of Paddy Pests

Effect of Weather Parameters on Population Dynamics of Paddy Pests International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 10 (2017) pp. 2049-2053 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.610.243

More information

Development of Agrometeorological Models for Estimation of Cotton Yield

Development of Agrometeorological Models for Estimation of Cotton Yield DOI: 10.5958/2349-4433.2015.00006.9 Development of Agrometeorological Models for Estimation of Cotton Yield K K Gill and Kavita Bhatt School of Climate Change and Agricultural Meteorology Punjab Agricultural

More information

Cauliflower (Brassica oleracea var. botrytis) is an

Cauliflower (Brassica oleracea var. botrytis) is an Pakistan J. Zool., vol. 48(5), pp. 1311-1315, 2016. Influence of Weather Factors on Population Dynamics of Armyworm, Spodoptera litura F. on Cauliflower, Brassica oleracea in Punjab Sumaira Maqsood 1,*

More information

Bioefficacy of newer neonicotenoids against sucking insect pests of Bt cotton

Bioefficacy of newer neonicotenoids against sucking insect pests of Bt cotton INTERNATIONAL JOURNAL OF PLANT PROTECTION VOLUME 7 ISSUE 2 OCTOBER, 2014 415-419 e ISSN-0976-6855 Visit us : www.researchjournal.co.in IJPP RESEARCH PAPER DOI : 10.15740/HAS/IJPP/7.2/415-419 Bioefficacy

More information

ANNUAL REPORT SUGARCANE ENTOMOLOGY

ANNUAL REPORT SUGARCANE ENTOMOLOGY ALL INDIA CO-ORDINATED RESEARCH PROJECT ON SUGARCANE Pyrilla perpusillla ANNUAL REPORT SUGARCANE ENTOMOLOGY 2012-13 SUGARCANE SECTION DEPARTMENT OF PLANT BREEDING AND GENETICS PAU, LUDHIANA ANNUAL REPORT

More information

Relative Performance of Different Colour Laden Sticky Traps on the Attraction of Sucking Pests in Pomegranate

Relative Performance of Different Colour Laden Sticky Traps on the Attraction of Sucking Pests in Pomegranate International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number (2017) pp. 2997-3004 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.6.350

More information

Population dynamics of chiku moth, Nephopteryx eugraphella (Ragonot) in relation to weather parameters

Population dynamics of chiku moth, Nephopteryx eugraphella (Ragonot) in relation to weather parameters 2017; 5(4): 1040-1044 E-SSN: 2320-7078 P-SSN: 2349-6800 JEZS 2017; 5(4): 1040-1044 2017 JEZS Received: 12-05-2017 Accepted: 13-06-2017 HK Chaudhary RK Thumar MB Zala CC Patel Correspondence HK Chaudhary

More information

Effect of weather parameters on the seasonal dynamics of tobacco caterpillar, Spodoptera litura (Lepidoptera: Noctuidae) in castor in Telangana State

Effect of weather parameters on the seasonal dynamics of tobacco caterpillar, Spodoptera litura (Lepidoptera: Noctuidae) in castor in Telangana State Vol. Journal 20, No. of Agrometeorology 2 20 (2) : 139-143 (June DURAIMURUGAN 2018) 139 Effect of weather parameters on the seasonal dynamics of tobacco caterpillar, Spodoptera litura (Lepidoptera: Noctuidae)

More information

EVALUATION OF SOME MANGO CULTIVARS UNDER NORTH INDIAN CONDITIONS

EVALUATION OF SOME MANGO CULTIVARS UNDER NORTH INDIAN CONDITIONS Proceedings: International Conference on Mango and Date Palm: Culture and Export. 20 th to 23 rd June, 2005. Malik et al. (Eds), University of Agriculture, Faisalabad. EVALUATION OF SOME MANGO CULTIVARS

More information

Dynamics of Mango Hopper Population under Ultra High Density Planting

Dynamics of Mango Hopper Population under Ultra High Density Planting International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 11 (2017) pp. 2206-2211 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.611.261

More information

Bioefficacy and Phytotoxicity of Alanto 240 SC (Thiacloprid 240 SC) against Thrips and Natural Enemies in Pomegranate

Bioefficacy and Phytotoxicity of Alanto 240 SC (Thiacloprid 240 SC) against Thrips and Natural Enemies in Pomegranate International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 08 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.708.182

More information

Weather based forecasting models for prediction of leafhopper population Idioscopus nitidulus Walker; (Hemiptera: Cicadellidae) in mango orchard

Weather based forecasting models for prediction of leafhopper population Idioscopus nitidulus Walker; (Hemiptera: Cicadellidae) in mango orchard 2017; 5(1): 163-168 E-ISSN: 2320-7078 P-ISSN: 2349-6800 JEZS 2017; 5(1): 163-168 2017 JEZS Received: 22-11-2016 Accepted: 23-12-2016 Rakshitha Mouly (1). Mahaveer Jain College, Jayanagar 3 rd Block, Bengaluru,

More information

Growth and development of Earias vittella (Fabricius) on cotton cultivars

Growth and development of Earias vittella (Fabricius) on cotton cultivars J. Cotton Res. Dev. 30 (1) 121-126 (January, 2016) Growth and development of Earias vittella (Fabricius) on cotton cultivars R. P. DONGARJAL AND V.K. BHAMARE* Vasantrao Naik Marathwada Krishi Vidyapeeth,

More information

POPULATION DYNAMICS OF BORERS COMPLEX ON SUGARCANE THROUGH PHEROMONE TRAPS

POPULATION DYNAMICS OF BORERS COMPLEX ON SUGARCANE THROUGH PHEROMONE TRAPS International Journal of Science, Environment and Technology, Vol. 5, No 6, 2016, 4242 4248 ISSN 2278-3687 (O) 2277-663X (P) POPULATION DYNAMICS OF BORERS COMPLEX ON SUGARCANE THROUGH PHEROMONE TRAPS *Anil

More information

Seasonal occurrence and diversity of arthropods in Bt cotton ecosystem under Akola conditions of Maharashtra

Seasonal occurrence and diversity of arthropods in Bt cotton ecosystem under Akola conditions of Maharashtra 2017; 5(5): 1614-1619 E-ISSN: 2320-7078 P-ISSN: 2349-6800 JEZS 2017; 5(5): 1614-1619 2017 JEZS Received: 23-07-2017 Accepted: 24-08-2017 AA Shinde Department of Entomology, SM Dadmal Department of Entomology,

More information

Jitendra Sonkar,, Jayalaxmi Ganguli and R.N. Ganguli

Jitendra Sonkar,, Jayalaxmi Ganguli and R.N. Ganguli Agric. Sci. Digest, 32 (3): 204-208, 2012 AGRICULTURAL RESEARCH COMMUNICATION CENTRE www.ar.arccjour ccjournals.com / indianjournals.com nals.com STUDIES ON CORRELATION OF PHEROMONE TRAP CATCH CH OF H.ARMIGERA

More information

Date of. Issued by (AICRPAM), & Earth System

Date of. Issued by (AICRPAM), & Earth System National Agromet Advisory Service Bulletin Based on Extended Range Weather Forecast (ERFS) Validity: 29 September 12 October 2017 Date of Issue: 29 September 2017 Issued by Indian Council of Agricultural

More information

Effect of Leaf Characteristics on Different Brinjal Genotypes and their Correlation on Insects Pests Infestation

Effect of Leaf Characteristics on Different Brinjal Genotypes and their Correlation on Insects Pests Infestation International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 11 (2017) pp. 3752-3757 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.611.439

More information

G.J.B.B., VOL.7 (2) 2018: ISSN

G.J.B.B., VOL.7 (2) 2018: ISSN INFLUENCE OF ABIOTIC AND BIOTIC FACTORS ON THE POPULATION DYNAMICS OF MUSTARD APHID, LIPAPHIS ERYSIMI (KALT.) AND POLLINATORS ASSOCIATED WITH THE MUSTARD CROP Jyoti Raina Department of Entomology, GBPUAT,

More information

Genetic variability, Heritability and Genetic Advance for Yield, Yield Related Components of Brinjal [Solanum melongena (L.

Genetic variability, Heritability and Genetic Advance for Yield, Yield Related Components of Brinjal [Solanum melongena (L. Available online at www.ijpab.com DOI: http://dx.doi.org/10.18782/2320-7051.5404 ISSN: 2320 7051 Int. J. Pure App. Biosci. 5 (5): 872-878 (2017) Research Article Genetic variability, Heritability and Genetic

More information

International Journal of Science, Environment and Technology, Vol. 5, No 2, 2016,

International Journal of Science, Environment and Technology, Vol. 5, No 2, 2016, International Journal of Science, Environment and Technology, Vol. 5, No 2, 2016, 395 400 ISSN 2278-3687 (O) 2277-663X (P) EVALUATION OF SOME PLANT DERIVATIVES FOR MANAGEMENT OF CABBAGE BUTTERFLY (PIERIS

More information

Population distribution of thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) in rose plant within different plant parameters

Population distribution of thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) in rose plant within different plant parameters 17; 5(): 1357-131 E-ISSN: 3-77 P-ISSN: 39- JEZS 17; 5(): 1357-131 17 JEZS Received: 5-1-17 Accepted: --17 Jayalaxmi Narayan Hegde Associate Professor (Agril. Entomology), University of Agricultural and

More information

Seasonal Incidence of Lemon Butterfly, Papilio demoleus Linn. on Bael

Seasonal Incidence of Lemon Butterfly, Papilio demoleus Linn. on Bael International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 08 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.708.382

More information

Journal of Physics: Conference Series. Related content OPEN ACCESS. To cite this article: A Ahmed et al 2013 J. Phys.: Conf. Ser.

Journal of Physics: Conference Series. Related content OPEN ACCESS. To cite this article: A Ahmed et al 2013 J. Phys.: Conf. Ser. Journal of Physics: Conference Series OPEN ACCESS Correlation of meteorological parameters and remotely sensed normalized difference vegetation index (NDVI) with cotton leaf curl virus (CLCV) in Multan

More information

Efficacy of Newer Insecticides Against Sucking Insect Pests of Greengram [Vigna radiata (L.) Wilczek]

Efficacy of Newer Insecticides Against Sucking Insect Pests of Greengram [Vigna radiata (L.) Wilczek] International Journal of Agriculture, Environment and Biotechnology Citation: IJAEB: 9(6): 1081-1087, December 2016 DOI: 10.5958/2230-732X.2016.00136.4 2016 New Delhi Publishers. All rights reserved ENTOMOLOGY

More information

Forewarning models of the insects of paddy crop

Forewarning models of the insects of paddy crop International Journal of Biodiversity and Conservation Vol. 3(8), pp. 367-37, August 211 Available online http://www.academicjournals.org/ijbc ISSN 2141-243X 211 Academic Journals Full Length Research

More information

Biodiversity of insect pest complex infesting okra [Abelmoschus esculentus] in Tripura, N.E. India

Biodiversity of insect pest complex infesting okra [Abelmoschus esculentus] in Tripura, N.E. India 2017; 5(5): 1968-1972 E-ISSN: 2320-7078 P-ISSN: 2349-6800 JEZS 2017; 5(5): 1968-1972 2017 JEZS Received: 11-07-2017 Accepted: 12-08-2017 Navendu Nair Department of Agriculture Agriculture, Tripura, U Giri

More information

Seasonal incidence and control of black fly (Aleurocanthus rugosa Singh) infesting betelvine (Piper betle L)

Seasonal incidence and control of black fly (Aleurocanthus rugosa Singh) infesting betelvine (Piper betle L) Journal of Crop and Weed, 5(1): 258-263 (2009) Seasonal incidence and control of black fly (Aleurocanthus rugosa Singh) infesting betelvine (Piper betle L) D. DAHAL, P. S. MEDDA * AND J. GHOSH Department

More information

Population Dynamics of Sugarcane Plassey Borer Chilo tumidicostalis Hmpson (Lepidoptera: Pyralidae)

Population Dynamics of Sugarcane Plassey Borer Chilo tumidicostalis Hmpson (Lepidoptera: Pyralidae) International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 03 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.703.167

More information

Probability models for weekly rainfall at Thrissur

Probability models for weekly rainfall at Thrissur Journal of Tropical Agriculture 53 (1) : 56-6, 015 56 Probability models for weekly rainfall at Thrissur C. Laly John * and B. Ajithkumar *Department of Agricultural Statistics, College of Horticulture,

More information

Brinjal (Solanum melongena L.) is an important

Brinjal (Solanum melongena L.) is an important Pakistan J. Zool., vol. 48(5), pp. 1511-1515, 2016. Role of Physio-Morphic Characters of Different Genotypes of Eggplant, Solanum melongena L. and its Association with the Fluctuation of Jassid, Amrasca

More information

Cotton, the White Gold is the most important commercial

Cotton, the White Gold is the most important commercial Research Paper ADVANCE RESEARCH JOURNAL OF C R P I M P R O V E M E N T Volume 4 Issue 1 June, 2013 8-13... Qualitative and quantitative faunal complex of cotton and their natural enemies in semi arid eastern

More information

Seasonal Activity of Sogatella furcifera H.,Cnaphalocropcis medinalis G. and Mythimna separata W. in Relation to Weather Parameters in Central India

Seasonal Activity of Sogatella furcifera H.,Cnaphalocropcis medinalis G. and Mythimna separata W. in Relation to Weather Parameters in Central India Seasonal Activity of Sogatella furcifera H.,Cnaphalocropcis medinalis G. and Mythimna separata W. in Relation to Weather Parameters in Central India Amit Kumar Sharma, Swati Barche And P. K. Mishra JNKVV,

More information

Preying Propensity of Larvae/ Grubs of Syrphid and Coccinellid Predators on Mustard APHID, Lipaphis Erysimi (KALT.)

Preying Propensity of Larvae/ Grubs of Syrphid and Coccinellid Predators on Mustard APHID, Lipaphis Erysimi (KALT.) International Journal of Agriculture and Food Science Technology. ISSN 2249-3050, Volume 4, Number 7 (2013), pp. 687-694 Research India Publications http://www.ripublication.com/ ijafst.htm Preying Propensity

More information

Lecture 8 Insect ecology and balance of life

Lecture 8 Insect ecology and balance of life Lecture 8 Insect ecology and balance of life Ecology: The term ecology is derived from the Greek term oikos meaning house combined with logy meaning the science of or the study of. Thus literally ecology

More information

2016 Soybean Vein Necrosis Disease Survey

2016 Soybean Vein Necrosis Disease Survey 216 Soybean Vein Necrosis Disease Survey Nathan Kleczewski Ph.D. Extension Plant Pathologist Bill Cissel Extension IPM Agent University of Delaware Cooperative Extension Soybean Vein Necrosis Disease (SVND)

More information

Rice is one of the most important food

Rice is one of the most important food Relative Composition of Egg Parasitoids of Rice Yellow Stem Borer, Scirpophaga incertulas (Walker) N. Rama Gopala Varma*, R. Jagadeeshwar and Chitra Shanker Rice Section, Acharya N.G. Ranga Agricultural

More information

Development of the Regression Model to Predict Pigeon Pea Yield Using Meteorological Variables for Marathwada Region (Maharashtra)

Development of the Regression Model to Predict Pigeon Pea Yield Using Meteorological Variables for Marathwada Region (Maharashtra) Available online at www.ijpab.com Singh et al Int. J. Pure App. Biosci. 5 (6): 1627-1631 (2017) ISSN: 2320 7051 DOI: http://dx.doi.org/10.18782/2320-7051.5445 ISSN: 2320 7051 Int. J. Pure App. Biosci.

More information

PEST AND DISEASE MANAGEMENT

PEST AND DISEASE MANAGEMENT PEST AND DISEASE MANAGEMENT Arthropod Pests The examples of arthropod pests shown here are aphids, spider mites, whiteflies, mealybugs, corn earworm, and tomato hornworm. Aphids Aphids are small, soft-bodied

More information

Dr. S.S. Pandey Director

Dr. S.S. Pandey Director Sugarcane Research Institute, Rajendra Agricultural University, Bihar, Pusa (Samastipur)-848125 Dr. S.S. Pandey Director No. ------- / SRI, Pusa Date ------------------ To Dr. O. K. Sinha Project Co-ordinator

More information

SURVIVAL AND DEVELOPMENT OF AMERICAN BOLLWORM (HELICOVERPA ARMIGERA HUBNER) ON TRANSGENIC BT COTTON

SURVIVAL AND DEVELOPMENT OF AMERICAN BOLLWORM (HELICOVERPA ARMIGERA HUBNER) ON TRANSGENIC BT COTTON Indian J. Agric. Res.., 48 (3) 177-184, 2014 doi:10.5958/j.0976-058x.48.3.030 AGRICULTURAL RESEARCH COMMUNICATION CENTRE www.arccjournals.com SURVIVAL AND DEVELOPMENT OF AMERICAN BOLLWORM (HELICOVERPA

More information

Vegetable Diagnostics 101: Insects and Diseases

Vegetable Diagnostics 101: Insects and Diseases Vegetable Diagnostics 101: Insects and Diseases The 2013 Educational Program Committee is pleased to share conference educational materials with you under the condition that they are used without alteration

More information

Effect of Organic Soil Fertility and Fungicide Treatments on Yield and Pest Management, Neely-Kinyon Farm-2015

Effect of Organic Soil Fertility and Fungicide Treatments on Yield and Pest Management, Neely-Kinyon Farm-2015 Effect of Organic Soil Fertility and Fungicide Treatments on Yield and Pest Management, Neely-Kinyon Farm-2015 Kathleen Delate, professor Departments of Horticulture & Agronomy Rebecca Johnson, research

More information

Studies on Population Dynamics of Spotted Pod Borer Maruca vitrata in Dolichos Bean, Lablab purpureus L. and their Relation with Abiotic Factors

Studies on Population Dynamics of Spotted Pod Borer Maruca vitrata in Dolichos Bean, Lablab purpureus L. and their Relation with Abiotic Factors Available online at www.ijpab.com DOI: http://dx.doi.org/10.18782/2320-7051.5419 ISSN: 2320 7051 Int. J. Pure App. Biosci. 5 (4): 1232-1239 (2017) Research Article Studies on Population Dynamics of Spotted

More information

IMPACT OF WEATHER PARAMETERS ON SHOOT FLY (ATHERIGONA SOCCATA.RONDANI) OF SORGHUM IN KHARIF SEASON

IMPACT OF WEATHER PARAMETERS ON SHOOT FLY (ATHERIGONA SOCCATA.RONDANI) OF SORGHUM IN KHARIF SEASON NSave Nature to Survive QUARTERLY 9(1&): 99-104, 015 IMPACT OF WEATHER PARAMETERS ON SHOOT FLY (ATHERIGONA SOCCATA.RONDANI) OF SORGHUM IN KHARIF SEASON S. T. PAVANA KUMAR* 1, A. B. SRINATH REDDY 1, MINAKSHI

More information

Genetic Variability, Coefficient of Variance, Heritability and Genetic Advance of Some Gossypium hirsutum L. Accessions

Genetic Variability, Coefficient of Variance, Heritability and Genetic Advance of Some Gossypium hirsutum L. Accessions Journal of Agricultural Science; Vol. 7, No. 2; 2015 ISSN 1916-9752 E-ISSN 1916-9760 Published by Canadian Center of Science and Education Genetic Variability, Coefficient of Variance, Heritability and

More information

رفيده أحمد عىض بسيىنى

رفيده أحمد عىض بسيىنى قسم جامعة دمنهىر كلية الزراعة وقاية النبات الخضر آفات بعض على دراسات المستخذمة لبعض المركبات وتقييم في مكافحتها رسالة مقدمة من رفيده أحمد عىض بسيىنى بكالوريوس العلوم الزراعية )قسن الحشرات اإلقتصادية( كلية

More information

6 2 Insects and plants

6 2 Insects and plants 6 2 Insects and plants Insect DIY 1. Find plant habitat 2. Find plant 3. Accept plant 4. Eat survive, reproduce Plant characteristics Shape structure Mechanical defenses trichomes Chemical defenses sap,

More information

SCREENING OF CARNATION VARIETIES AGAINST THRIPS, Thrips tabaci (LINDERMAN) IN PROTECTED CULTIVATION

SCREENING OF CARNATION VARIETIES AGAINST THRIPS, Thrips tabaci (LINDERMAN) IN PROTECTED CULTIVATION e- ISSN: 2394-5532 p- ISSN: 2394-823X General Impact Factor (GIF): 0.875 International Journal of Applied And Pure Science and Agriculture www.ijapsa.com SCREENING OF CARNATION VARIETIES AGAINST THRIPS,

More information

Correlation and Path Coefficient Analysis in Upland Cotton (Gossypium hirsutum L.)

Correlation and Path Coefficient Analysis in Upland Cotton (Gossypium hirsutum L.) Available online at www.ijpab.com INTERNATIONAL JOURNAL OF PURE & APPLIED BIOSCIENCE ISSN: 2320 7051 Int. J. Pure App. Biosci. 3 (3): 70-80 (2015) Research Article Correlation and Path Coefficient Analysis

More information

Journal home page:

Journal home page: Journal home page: http://www.journalijiar.com INTERNATIONAL JOURNAL OF INNOVATIVE AND APPLIED RESEARCH RESEARCH ARTICLE Impact of physiochemical characteristics of sunflower leaves on insect pests population

More information

An Android Application

An Android Application NICRA National Innovations in Climate Resilient Agriculture NCIPM PESTPREDICT USER MANUAL An Android Application ICA R NCIPM NI RA National Innovat ions in Climate Resili entagriculture Pest Predict ion

More information

Avoiding Stink Bug Damage and Flat Pod Syndrome in Soybean with a MGVI Cultivar and Planting Date Beaumont, TX 2005

Avoiding Stink Bug Damage and Flat Pod Syndrome in Soybean with a MGVI Cultivar and Planting Date Beaumont, TX 2005 Avoiding Stink Bug Damage and Flat Pod Syndrome in Soybean with a MGVI Cultivar and Planting Date Beaumont, TX 2005 Agronomic and Cultural Information Land Preparation: Disked test area (Morey silt loam)

More information

HETEROSIS AND HERITABILITY STUDIES FOR SUPERIOR SEGREGANTS SELECTION IN CHICKPEA

HETEROSIS AND HERITABILITY STUDIES FOR SUPERIOR SEGREGANTS SELECTION IN CHICKPEA Pak. J. Bot., 39(7): 2443-2449, 2007. HETEROSIS AND HERITABILITY STUDIES FOR SUPERIOR SEGREGANTS SELECTION IN CHICKPEA AHMED BAKHSH *, SHAHID RIAZ MALIK **, UMER IQBAL ** AND WAHEED ARSHAD * * PMAS Arid

More information

The study of the impact of climate variability on Aman rice yield of Bangladesh

The study of the impact of climate variability on Aman rice yield of Bangladesh The study of the impact of climate variability on Aman rice yield of Bangladesh Toma Rani Saha 1 and Dewan Abdul Quadir 2 Abstract An attempt has been made to investigate the relationship of climate variability

More information

POPULATIONS BUILD UP OF MUSTARD APHID AND THEIR NATURAL ENEMIES IN RELATION TO BIOTIC AND ABIOTIC FACTORS

POPULATIONS BUILD UP OF MUSTARD APHID AND THEIR NATURAL ENEMIES IN RELATION TO BIOTIC AND ABIOTIC FACTORS Plant Archives Vol. 18 No. 2, 2018 pp. 2495-2500 e-issn:2581-6063 (online), ISSN:0972-5210 POPULATIONS BUILD UP OF MUSTARD APHID AND THEIR NATURAL ENEMIES IN RELATION TO BIOTIC AND ABIOTIC FACTORS S.A.

More information

A STUDY OF PADDYSTEM BORER (SCIRPOPHAGA INCERTULAS) POPULATION DYNAMICS AND ITS INFLUENCE FACTORS BASE ON STEPWISE REGRESS ANALYSIS

A STUDY OF PADDYSTEM BORER (SCIRPOPHAGA INCERTULAS) POPULATION DYNAMICS AND ITS INFLUENCE FACTORS BASE ON STEPWISE REGRESS ANALYSIS A STUDY OF PADDYSTEM BORER (SCIRPOPHAGA INCERTULAS) POPULATION DYNAMICS AND ITS INFLUENCE FACTORS BASE ON STEPWISE REGRESS ANALYSIS Linnan Yang *, Lin Peng 1, Fei Zhong 2, Yinsong Zhang 3 1 College of

More information

Summary and Conclusions

Summary and Conclusions 241 Chapter 10 Summary and Conclusions Kerala is situated in the southern tip of India between 8 15 N and 12 50 N latitude and 74 50 E and 77 30 E longitude. It is popularly known as Gods own country.

More information

Yield Crop Forecasting: A Non-linear Approach Based on weather Variables

Yield Crop Forecasting: A Non-linear Approach Based on weather Variables Yield Crop Forecasting: A Non-linear Approach Based on weather Variables Sanjeev Panwar, K. N. Singh, Anil Kumar and Abhishek Rathore Indian Agricultural Statistics Research Institute, New Delhi, India

More information

Biophysical Basis of Resistance against Shoot Bug (Peregrinus maidis) in Different Genotypes of Rabi Sorghum

Biophysical Basis of Resistance against Shoot Bug (Peregrinus maidis) in Different Genotypes of Rabi Sorghum International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 10 (2017) pp. 707-712 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.610.087

More information

Weekly Rainfall Analysis and Markov Chain Model Probability of Dry and Wet Weeks at Varanasi in Uttar Pradesh

Weekly Rainfall Analysis and Markov Chain Model Probability of Dry and Wet Weeks at Varanasi in Uttar Pradesh 885 Environment & Ecology 32 (3) : 885 890, July September 2014 Website: environmentandecology.com ISSN 0970-0420 Weekly Rainfall Analysis and Markov Chain Model Probability of Dry and Wet Weeks at Varanasi

More information

Seasonal Incidence of Major Insect and Mite Pests of Jasmine

Seasonal Incidence of Major Insect and Mite Pests of Jasmine International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 10 (2017) pp. 5060-5070 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.610.480

More information

Tree and Shrub Insects

Tree and Shrub Insects Aphids Aphids are small soft-bodied insects that suck plant juices. High aphid populations can cause leaves to yellow, curl, or drop early. The most bothersome aspect of aphids is the honeydew they produce.

More information

Study of Genetic Variability and Heritability in Sugarcane (Saccharum spp. Complex)

Study of Genetic Variability and Heritability in Sugarcane (Saccharum spp. Complex) International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 9 (2017) pp. 3112-3117 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.609.384

More information

Scholars Journal of Agriculture and Veterinary Sciences e-issn Sahayarani A et al.; Sch J Agric Vet Sci., Feb-Mar 2016; 3(2):

Scholars Journal of Agriculture and Veterinary Sciences e-issn Sahayarani A et al.; Sch J Agric Vet Sci., Feb-Mar 2016; 3(2): Sahayarani A et al.; Sch J Agric Vet Sci., Feb-Mar 216; 3(2):16-166 Scholars Journal of Agriculture and Veterinary Sciences e-issn 2348 1854 Sch J Agric Vet Sci 216; 3(2):16-166 p-issn 2348 8883 Scholars

More information

Evaluation of Insecticides for Control of Insect Pests in an MG VII Soybean Beaumont, TX 2009 Soybean Nursery North No. 4

Evaluation of Insecticides for Control of Insect Pests in an MG VII Soybean Beaumont, TX 2009 Soybean Nursery North No. 4 Beaumont, TX 2009 Soybean Nursery North No. 4 North PLOT PLAN I II III IV 1 1 2 5 3 2 4 6 5 1 6 4 7 6 8 4 9 3 10 5 11 3 12 2 13 2 14 6 15 5 16 2 17 5 18 3 19 3 20 1 21 4 22 4 23 6 24 1 Guard tier on North

More information

Integrated Pest Management of Insect Pest Population through Different Technique Strategies in Okra Agro Eco-System

Integrated Pest Management of Insect Pest Population through Different Technique Strategies in Okra Agro Eco-System Integrated Pest Management of Insect Pest Population through Different Technique Strategies in Okra Agro Eco-System SAJJAD ALI KHUHRO*,ABDUL GHANI LANJAR,ABDUL WAHEED SOLANGI Department of Entomology,

More information

COTTON PESTS SCENARIO DURING LAST DECADE IN INDIA. V. S. Nagrare, V. China Babu Naik, Bhausaheb Naikwadi

COTTON PESTS SCENARIO DURING LAST DECADE IN INDIA. V. S. Nagrare, V. China Babu Naik, Bhausaheb Naikwadi COTTON PESTS SCENARIO DURING LAST DECADE IN INDIA V. S. Nagrare, V. China Babu Naik, Bhausaheb Naikwadi ICAR-Central Institute for Cotton Research, P. B. No 2, Shankar Nagar P. O., Nagpur, India 600 Area

More information

Residual effect of two insecticides and neem oil against epilachna beetle, Epilachna vigintioctopunctata (Fab.) on bitter gourd

Residual effect of two insecticides and neem oil against epilachna beetle, Epilachna vigintioctopunctata (Fab.) on bitter gourd J. Bangladesh Agril. Univ. 10(1): 21 25, 2012 ISSN 1810-3030 Residual effect of two insecticides and neem oil against epilachna beetle, Epilachna vigintioctopunctata on bitter gourd M. Mala 1, M. M. U.

More information

NATURAL RESISTANCE AGAINST INSECT PESTS IN COTTON ABSTRACT

NATURAL RESISTANCE AGAINST INSECT PESTS IN COTTON ABSTRACT Din et al., The Journal of Animal & Plant Sciences, 26(5): 2016, The Page: J. Anim. 1346-1353 Plant Sci. 26(5):2016 ISSN: 1018-7081 NATURAL RESISTANCE AGAINST INSECT PESTS IN COTTON Z. M. Din *, T. A.

More information

Determination of Economic Threshold level (ETL) of brown planthopper, Nilaparvata lugens Stal. population in different stages of rice crop at Raipur

Determination of Economic Threshold level (ETL) of brown planthopper, Nilaparvata lugens Stal. population in different stages of rice crop at Raipur INTERNATIONAL JOURNAL OF PLANT PROTECTION VOLUME ISSUE APRIL, - e ISSN-- Visit us : www.researchjournal.co.in IJPP RESEARCH PAPER DOI :./HAS/IJPP/./- Determination of Economic Threshold level (ETL) of

More information

Evaluation of Light Trap against Different Coloured Electric Bulbs for Trapping Phototrophic Insects

Evaluation of Light Trap against Different Coloured Electric Bulbs for Trapping Phototrophic Insects International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 6 (2017) pp. 2068-2073 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.606.245

More information

INHERITANCE OF OKRA LEAF TYPE, GOSSYPOL GLANDS AND TRICHOMES IN COTTON ABSTRACT

INHERITANCE OF OKRA LEAF TYPE, GOSSYPOL GLANDS AND TRICHOMES IN COTTON ABSTRACT Nawab et al., The Journal of Animal & Plant Sciences, 24(2): 2014, Page: J. 526-533 Anim. Plant Sci. 24(2):2014 ISSN: 1018-7081 INHERITANCE OF OKRA LEAF TYPE, GOSSYPOL GLANDS AND TRICHOMES IN COTTON N.

More information

Corresponding author: EUROPEAN ACADEMIC RESEARCH Vol. II, Issue 7/ October Impact Factor: 3.1 (UIF) DRJI Value: 5.

Corresponding author: EUROPEAN ACADEMIC RESEARCH Vol. II, Issue 7/ October Impact Factor: 3.1 (UIF) DRJI Value: 5. EUROPEAN ACADEMIC RESEARCH Vol. II, Issue 7/ October 2014 ISSN 2286-4822 www.euacademic.org Impact Factor: 3.1 (UIF) DRJI Value: 5.9 (B+) Study of the Predatory Potential of Australian Ladybird Beetle

More information

Genetic studies of earliness in Gossypium hirsutum L.

Genetic studies of earliness in Gossypium hirsutum L. RESEARCH ARTICLE Shakeel et al., IJAVMS, Vol. 6, Issue 3, 2012: 189-207 doi: 10.5455/ijavms.147 Genetic studies of earliness in Gossypium hirsutum L. Amir Shakeel 1, Jehanzeb Farooq 3 *Ameer Bibi 1, Shaham

More information

MISSION DEBRIEFING: Teacher Guide

MISSION DEBRIEFING: Teacher Guide Activity 2: It s Raining Again?! Using real data from one particular location, students will interpret a graph that relates rainfall to the number of cases of malaria. Background The relationship between

More information

Avocado Thrips Subproject 2: Pesticide Evaluations and Phenology in the Field

Avocado Thrips Subproject 2: Pesticide Evaluations and Phenology in the Field 1999 California Avocado Research Symposium pages 27-35 California Avocado Society and University of California, Riverside Avocado Thrips Subproject 2: Pesticide Evaluations and Phenology in the Field Phil

More information

Available online Journal of Scientific and Engineering Research, 2018, 5(3): Research Article

Available online   Journal of Scientific and Engineering Research, 2018, 5(3): Research Article Available online www.jsaer.com, 2018, 5(3):166-180 Research Article ISSN: 2394-2630 CODEN(USA): JSERBR Impact of Climate Variability on Human Health- A Case Study at Kanchanpur Union, Basail, Tangail District,

More information

NAKSHATRA BASED RAINFALL ANALYSIS AND ITS IMPACT ON CROPS DURING MONSOON SEASON AT MANDYA DISTRICT

NAKSHATRA BASED RAINFALL ANALYSIS AND ITS IMPACT ON CROPS DURING MONSOON SEASON AT MANDYA DISTRICT International Journal of Current Agricultural Research, Vol. 4, No. 1, PP. 139-144 October 215 http://www.journalagri.com Full Length Research Article NAKSHATRA BASED RAINFALL ANALYSIS AND ITS IMPACT ON

More information

Functional response of the predators mirid bug and wolf spider against white-backed planthopper, Sogatella furcifera (Horvath)

Functional response of the predators mirid bug and wolf spider against white-backed planthopper, Sogatella furcifera (Horvath) 2014; 1(6): 11-16 ISSN 2348-5914 JOZS 2014; 1(6): 11-16 JOZS 2014 Received: 25-10-2014 Accepted: 20-11-2014 N.M.Soomro University of Sindh, Jamshoro, Pakistan M.H.Soomro J.I.Chandio Department of Statistics,

More information

Cotton Insect Losses 1991

Cotton Insect Losses 1991 Cotton Insect Losses 1991 Compiled for National Cotton Council Robert B. Head, Chairman Cooperative Extension Service Mississippi State University Mississippi State, MS State Coordinators Alabama -- Dr.

More information

Investigation of Rainfall Trend in Jorhat Town, Assam, India

Investigation of Rainfall Trend in Jorhat Town, Assam, India EUROPEAN ACADEMIC RESEARCH Vol. II, Issue 7/ October 2014 ISSN 2286-4822 www.euacademic.org Impact Factor: 3.1 (UIF) DRJI Value: 5.9 (B+) Investigation of Rainfall Trend in Jorhat Town, MAYURAKSHI BHUYAN

More information

Variability Studies in Foxtail Millet [Setaria italica (L.) P. Beauv]

Variability Studies in Foxtail Millet [Setaria italica (L.) P. Beauv] International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 9 (2017) pp. 955-960 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.609.115

More information

TYPES AND MECHANISMS. Course teacher Dr. A. Prabhuraj Professor Department of Entomology UAS, Raichur

TYPES AND MECHANISMS. Course teacher Dr. A. Prabhuraj Professor Department of Entomology UAS, Raichur TYPES AND MECHANISMS Course teacher Dr. A. Prabhuraj Professor Department of Entomology UAS, Raichur MECHANISM OF RESI STANCE Antixenosis Antibiosis Tolerance Three fold basis Resistance based insect plant

More information

Conservation Biological Control: Can it Work in the Cotton System?

Conservation Biological Control: Can it Work in the Cotton System? Conservation Biological Control: Can it Work in the Cotton System? Conservation Biological Control Manipulation of the environment to favor natural enemies, either by removing or mitigating adverse factors

More information

Best Fit Probability Distributions for Monthly Radiosonde Weather Data

Best Fit Probability Distributions for Monthly Radiosonde Weather Data Best Fit Probability Distributions for Monthly Radiosonde Weather Data Athulya P. S 1 and K. C James 2 1 M.Tech III Semester, 2 Professor Department of statistics Cochin University of Science and Technology

More information

Utilization of seasonal climate predictions for application fields Yonghee Shin/APEC Climate Center Busan, South Korea

Utilization of seasonal climate predictions for application fields Yonghee Shin/APEC Climate Center Busan, South Korea The 20 th AIM International Workshop January 23-24, 2015 NIES, Japan Utilization of seasonal climate predictions for application fields Yonghee Shin/APEC Climate Center Busan, South Korea Background Natural

More information

White flies and their natural enemies. Moshe cohen Bio-bee Sde Eliyahu Ltd. October 2015

White flies and their natural enemies. Moshe cohen Bio-bee Sde Eliyahu Ltd. October 2015 White flies and their natural enemies Moshe cohen Bio-bee Sde Eliyahu Ltd. October 2015 White flies and their natural enemies: Two species of whiteflies. Attack flowers and vegetables crops: 1.Bemisia

More information

Journal of Pharmacognosy and Phytochemistry 2017; 6(4): Sujitha E and Shanmugasundaram K

Journal of Pharmacognosy and Phytochemistry 2017; 6(4): Sujitha E and Shanmugasundaram K 2017; 6(4): 452-457 E-ISSN: 2278-4136 P-ISSN: 2349-8234 JPP 2017; 6(4): 452-457 Received: 01-05-2017 Accepted: 02-06-2017 Sujitha E Research Scholar, Department of Soil and Water Conservation Engineering,

More information

Study the abundance of insect pollinators/visitors in rapeseed-mustard (Brassica juncea L.)

Study the abundance of insect pollinators/visitors in rapeseed-mustard (Brassica juncea L.) 2018; 6(2): 2563-2567 E-ISSN: 2320-7078 P-ISSN: 2349-6800 JEZS 2018; 6(2): 2563-2567 2018 JEZS Received: 12-01-2018 Accepted: 15-02-2018 SK Giri Umesh Chandra Gajendra Singh MP Gautam Ramesh Jaiswal Correspondence

More information

Debashis Roy and Pijush K Sarkar

Debashis Roy and Pijush K Sarkar 2017; 5(2): 831837 EISSN: 23207078 ISSN: 23496800 JEZS 2017; 5(2): 831837 2017 JEZS Received: 18012017 Accepted: 19022017 Debashis Roy Department of Agricultural Entomology, Bidhan Chandra Krishi Viswavidyalaya,

More information