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

Recent Advances in Agricultural Commodity Forecast Techniques in the Purview of Climate Change | Chapter 9 | Current Advances in Geography, Environment and Earth Sciences Vol. 6

 Agriculture is the backbone of the economy of the majority of developing and third-world countries, including India, with a sizable portion of the population directly dependent on farming for a living. Climate is one of the factors that affects crop production the most, influencing everything from crop growth and development to crop yield. Climate has an impact on agricultural pest and disease outbreaks as well as crop water uptake. It is anticipated that potential variations in meteorological variables including precipitation, temperature, and CO2 concentration will have a significant impact on the agricultural growth process. In order to plan a coordinated agricultural production activity in response to changes in the climatic circumstances, farmers may find it advantageous to predict crop yield variations in the context of changing climatic conditions. This results in the implementation of appropriate policy reforms that benefit both the farming community and the country as a whole. This book chapter provides a summary of all statistical models and approaches that can be used to predict agricultural commodities in the face of shifting climate circumstances. A summary of recent advancements in the same field is also included.

Author(s) Details:

Rahul Banerjee,
Division of Sample Surveys, ICAR-IASRI, New Delhi-110012, India.

Pankaj Das,
Division of Sample Surveys, ICAR-IASRI, New Delhi-110012, India.

Bharti,
Division of Sample Surveys, ICAR-IASRI, New Delhi-110012, India.

Bulbul Ahmed,
GD Goenka University, Sohna, Gurugram, Haryana-122103, India.

Please see the link here: https://stm.bookpi.org/CAGEES-V6/article/view/8267