Seasonal Abundance and Diversity of Arthropod Communities in Bt Cotton Agro-ecosystem of Kalaburagi, Karnataka, India | Chapter 8 | Research Perspective on Biological Science Vol. 7

 

Cotton is one of the important and leading prime cash crops in the Indian economy. Cultivation of genetically modified Bt cotton resulted in an increase in yield, and the adoption of Bt cotton has decreased the use of chemical pesticides, which are much hazardous for the environment and human health. The cotton ecosystem is a shelter for many pests and predatory arthropod communities. The aim of the study is to investigate the diversity and seasonal patterns of arthropod populations in Bt cotton fields in Kalaburagi, Karnataka, to understand their occurrence, abundance, and impact on the Bt cotton ecosystem. The Present study was conducted at the Bt-cotton fields of the opted study area of Kalaburagi. Various sampling techniques were used to collect arthropod samples, namely, the sweep net technique, pit-fall technique and the light-trap technique. The results clearly suggest that a total of 21 arthropod species were recorded, among them 13 insects were categorised as pests and 8 were natural enemies. Apart from that, 3 species of predatory spiders were recorded. In the Bt cotton agro-ecosystem, leafhoppers, whiteflies, aphids, thrips, mites, and red cotton bugs were abundant during the 35th, 36th, 40th, 38th, 39th and 46th SMW. On the other hand, natural enemies, viz, spiders, ladybird beetles, lace wings, hover flies and ants, were found predominantly for the duration of 34th to 36th SMW. A correlation study shows that rainfall had a negative correlation with semilooper, whitefly, leafhopper, hoverfly fly and green lacewings. Significantly positive correlation was observed between maximum temperature and mealy bug, green stink bug, pink bollworm and green lacewing, hoverfly, white flies, and chafer beetle and spider population. Diversity of arthropod fauna was moderate to rich in the Bt cotton agro-ecosystem of the selected study area (H'=2.09) with higher abundance of aphids followed by whiteflies, leaf hoppers, mites, thrips and red cotton bugs. The findings highlight the dynamic interaction between pest and natural enemy populations under varying climatic conditions, providing useful insights for integrated pest management strategies in Bt-cotton cultivation.

 

 

Author(s) Details

AMBRISHA VENKATESHWAR
Department of P.G. Studies and Research in Zoology, Gulbarga University, Kalaburagi, 585106, India.

 

K. VIJAYKUMAR
Department of P.G. Studies and Research in Zoology, Gulbarga University, Kalaburagi, 585106, India.

 

 

Please see the book here :- https://doi.org/10.9734/bpi/rpbs/v7/6225

 

Incidence of Castor Insect Pests in Relation to the Meteorological Parameters in Southern Telangana Zone, India | Chapter 13 | Emerging Issues in Agricultural Sciences Vol. 4

 The predominance and severity of bug pests will be influenced by changes in bug pest rank in the existing agricultural surroundings and changes in climatic footing. To evaluate the population vacillations of insect plague of castor during kharif, 2020 at Regional Agricultural Research Station, Palem and relationship betwixt pests and weather limits, investigations on pest public with regard to the weather limits have been carried out. Castor is majorly of age in areas place mean monthly temperature across the increasing season ranges from 22.7 to 34.3 0C. It showed a powerful correlation between leafhoppers and maximum hotness (r=0.48) and a substantial equating between minimum temperature (r=-0.59) and the eve relative humidity (r=-0.56). and precipitation (r=-0.60). Thrips and rainfall have a negative significant union (r=-0.65). Semilooper and maximum temperature have a helpful connection (r=0.17). Spodoptera litura has a positive important link with maximum hotness (r=0.24), but a negative significant relationship accompanying maximum temperature (r=-0.49) and minimum hotness (r=-0.55).

Author(s) Details:

G. Madhuri,
Department of Environmental Health, Dian Nuswantoro University Semarang, Indonesia.

V. Divya Rani,
Department of Environmental Health, Dian Nuswantoro University Semarang, Indonesia.

K. Sadaiah,
Environmental Health, Faculty of Public Health, Universitas Muhammadiyah Kalimantan, Timur, Indonesia.

G. Neelima,
Universitas Islam Negeri (UIN) Walisongo Semarang, Indonesia.

N. Nalini,
Department of Environmental Health, Dian Nuswantoro University Semarang, Indonesia.

G. Eswara Reddy,
Department of Environmental Health, Dian Nuswantoro University Semarang, Indonesia.

P. Duraimurugan,
Environmental Health, Faculty of Public Health, Universitas Muhammadiyah Kalimantan, Timur, Indonesia.

A. Shankar,
Universitas Islam Negeri (UIN) Walisongo Semarang, Indonesia.

M. Sujatha,
Regional Agricultural Research Station, PJTSAU, Palem, Nagarkurnool District-509 215, Telangana, India.

M. Goverdhan,
Regional Agricultural Research Station, PJTSAU, Palem, Nagarkurnool District-509 215, Telangana, India.

Please see the link here: https://stm.bookpi.org/EIAS-V4/article/view/10823

Integrated Pest Management in Coffee Growing: Most Common Practices in Brazil | Chapter 4 | Research Highlights in Agricultural Sciences Vol. 9

 Coffee (Coffea sp.) is a crop accompanying significant business-related importance; it is one of the country's most influential agricultural possession. Coffee crops, like any additional high-value crop, are annoyed by pests, and decent pest management is essential for profitable production. The damage generated by insect epidemic is one of the main factors that bring about decreased result of the main crops. Integrated Pest Management (IPM) is a pest administration system that takes into account the use of all feasible plant protection plans as well as the integration of acceptable procedures to maintain the pest community level below the level of damage in an economically, environmentally, and ecologically viable form. The goal concerning this literature review search out collect information on studies including integrated epidemic management in the coffee crop.

Author(s) Details:

Jeniffer Ribeiro De Oliveira,
Federal University of Espírito Santo, Campus São Mateus, Espírito Santo, Brazil.

Dalila Bonomo Cosme,
Federal University of Espírito Santo, Campus São Mateus, Espírito Santo, Brazil.

Vanessa Chaves Lopes,
Federal University of Espírito Santo, Campus São Mateus, Espírito Santo, Brazil.

Jalille Amim Altoé,
Federal University of Espírito Santo, Campus São Mateus, Espírito Santo, Brazil.

Luan Carlos Ferreira Angeli,
Capixaba Institute of Research, Technical Assistance and Rural Extension, Brazil.

Please see the link here: https://stm.bookpi.org/RHAS-V9/article/view/9464