scholarly journals Effect of weather factors on the population dynamics of sucking insect pests and their natural enemies in transgenic and non-transgenic cotton

2021 ◽  
Vol 21 (4) ◽  
pp. 515-519
Author(s):  
Jagdeep Kaur ◽  
Naveen Aggarwal ◽  
J.S. Kular
2020 ◽  
pp. 120-125
Author(s):  
K. Elango ◽  
S. Jeyarajan Nelson

The rugose spiralling whitefly, Aleurodicus rugioperculatus Martin is a new exotic pest occurring in several crops including coconut since 2016 in India. Due to variation in the agro-climatic conditions of different regions, arthropods show varying trends in their incidence also in nature and extent of damage to the crop. Besides, abiotic factors also play a key role in determining the incidence and dominance of a particular pest and their natural enemies in a crop ecosystem. The population dynamics of new exotic whitefly species, A. rugioperculatus and their associated natural enemies was assessed on five-year-old Chowghat Orange Dwarf coconut trees at Coconut Farm of Tamil Nadu Agricultural University. The study indicated that RSW was found throughout the year on coconut and the observation recorded on weekly interval basis shows that A. rugioperculatus population escalated from the first week of July 2018 (130.8 nymphs/leaf/frond) reaching the maximum during the first week of October (161.0 nymphs/leaf/frond) which subsequently dwindled to a minimum during April. The parasitisation by E. guadeloupae on RSW ranged from 31.60 percent in Aug. 2018 to 57.60 percent in December 2018. The association of biotic and abiotic factors with A. rugioperculatus population showed a negative correlation with E. guadeloupae and C. montrouzieri. There was a significant positive correlation between maximum temperature and minimum temperature as well as relative humidity. However, rainfall showed a negative correlation with A. rugioperculatus population.


2013 ◽  
Vol 8 (28) ◽  
pp. 3814-3819 ◽  
Author(s):  
Singh Yajuvendra ◽  
Jha Aastik ◽  
Verma Savita ◽  
K Mishra V ◽  
S Singh S

2021 ◽  
Vol 90 (1) ◽  
pp. 27-40
Author(s):  
Hamdy H. Mahmoud ◽  
Soheir F. Abd El-Rahman ◽  
Mohamed Abd El-Moez Mahbob ◽  
Sayeda S. Ahmed ◽  
Sayeda S. Ahmed

The experiment was conducted to study the seasonal abundance of the most important insect pests of maize and its relation with natural enemies and weather factors in Assiut governorate during 2019 and 2020 seasons.The samples were examined from June to September to determine the population of Limothrips cerealium (Haliday, 1836), Rhopalosiphum maidis (Fitch, 1856) and Sesamia cretica Lederer, 1857 and its the associated predators. The population of L. cerealium recorded a peak in the 4th week of July 2019 and the 1st week of August 2020. The highest population of R. maidis occurred in 1st week of September at both seasons. The simple correlation and regression between L. cerealium population and three weather factors were insignificant in both seasons while S. cretica population were found to be significant with R.H%. The population of R. maidis in the 1st season was insignificant negative with temperatures but was significant in the 2nd season. The plant age was more effective than the weather factors on the population of the three insect pests. The common predators were Orius albidipennis (Reuter, 1884) and Scymnus interruptus (Goeze, 1777)which were highly significant with all three insect pests.


2017 ◽  
Vol 79 (4) ◽  
pp. 493
Author(s):  
Devinder Sharma ◽  
Subhash Singh ◽  
V. Kaul ◽  
Hafeez Ahmad Suheel ◽  
A. Ganai ◽  
...  

2016 ◽  
Vol 32 (4) ◽  
pp. 417-423
Author(s):  
Muhammad Basit ◽  
Shafqat Saeed ◽  
Rana Zulfiqar ◽  
Mushtaq Ahmad Saleem

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
V. K. Rahmathulla ◽  
C. M. Kishor Kumar ◽  
B. S. Angadi ◽  
V. Sivaprasad

The production of quality mulberry leaf and subsequent production of quality silk is hampered due to the incidence of various insect pests. The present study analyses the population dynamics ofDiaphania pulverulentalis(leaf roller), a serious pest of mulberry in a sericulture seed farm. The results indicated that maximum population buildup of the pest was recorded during rainy season. High humidity coinciding with low temperature because of southwest and northeast monsoon was conducive for breeding and multiplication of the pest. Correlation studies revealed that there was a significant negative correlation between increase in temperature and pest infestation. All other weather factors recorded from the study location have a positive correlation with incidence of the pest. The regression model developed also supported the relationship between the pest population buildup and weather factors.


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