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

Estimation of the Wild Boar Population in Southern Italian Apennines by Pellet Count Group Technic: A Preliminary Study | Chapter 05 | Emerging Challenges in Environment and Earth Science Vol. 2

 Today, the evolution of wild ungulates is one of the most significant developments in Italian wildlife over the previous few decades. Damage caused by wild boars has increased substantially in recent decades, amounting to hundreds of thousands of Euros annually in various European nations. Knowing the location, abundance, and population dynamics of wild boar (Sus scrofa) is critical for proper management, especially given its impact on the natural and agricultural ecosystem. This research presents a wild boar population estimate for a study area in the Italian Apennines' south / south-eastern region. Using GiS software and the Pellet Count Group technique, the census technique was planned through field inspections and cartographic elaborations. The Pellet Group's findings were recorded on customised field cards. 12 Pellets Group was discovered after crossing 7.010 linear metres and 14.020 m2. The existence of around 7/8 creatures per 100 ha was found using this information and knowing the extent of each given habitat. These densities, calculated based on the number of hectares in each investigated habitat, imply the presence of 187 to 164 animals. Given that the ideal density for the study region would be around 47 animals per 100 ha, the actual density exceeds these values by a large margin. As a result, the Park's population should be lowered by establishing a true census plan based on various sorts of censuses conducted over multiple years.

Author(S) Details

Di Brita Aldo
Department of Agriculture, Environment and Feeds, Molise University, 86100 Campobasso (I), Italy.

Miraglia Nicoletta
Department of Agriculture, Environment and Feeds, Molise University, 86100 Campobasso (I), Italy.

View Book:- https://stm.bookpi.org/ECEES-V2/article/view/5734

Stochastics Growth Model | Chapter 1 | Theory and Practice of Mathematics and Computer Science Vol. 10

 The goal is to create a mathematical model that takes into account genetic defects while evaluating the development rate of roan antelopes in Kenya's Ruma National Park.

Methodology: To estimate the population growth rate of roans, this work modified Oksendal and Lungu's stochastic logistic model by integrating genetic defects not included by Magin and Cock. Vortex version 9.99, a computer simulation programme used to mimic the extinction process, was adjusted appropriately.

Inbreeding has a high-level impact on population expansion (survival) in tiny communities, according to the findings. Juvenile and adult roans were supplemented to promote population survival for a longer period of time.

Conclusion: To combat inbreeding, which is a serious concern to tiny populations, this paper proposes supplements rather than predator control because of the unknown implications to the environment and conflicts with wildlife management plans in protected areas. Supplementation should be done in stages so that social groupings are not disrupted. Genetic research should be conducted to determine the extent to which inbreeding influences population increase, according to this study.

Author(s) Details

Daniel Ochieng Achola
Department of Mathematics, Kabarak University, Private Bag-20157, Nakuru, Kenya.

View Book :- https://stm.bookpi.org/TPMCS-V10/article/view/1071

Population Ecology and Spatial Distribution of Whitefly, Bemisia tabaci, (Homoptera: Aleyrodidae) on Brinjal | Chapter 4 | Recent Research Advances in Biology Vol. 6

Bemisia tabaci (Gennadius), a common insect that feeds on plants, is a member of the Aleyrodidae family of the order Homoptera. One of the major factors that has attracted whitefly in the studied area is the quantity of food source, especially brinjal. In reality, whitefly's ability to fly allows them to quickly search for food. This may promote whitefly reproduction in large numbers, resulting in a serious infestation in the fields. Many farmers are reluctant to grow brinjal after a bad experience with whitefly infestations, which resulted in a complete crop loss of brinjal fruits. There is currently no information on the population dynamics of whiteflies on brinjal. As a result, the population of immature whitefly was calculated in this study, and the population was sampled and predicted precisely through spatial distribution on brinjal plant before an intervention programme could be implemented. The research was carried out at the Field Laboratory of Universiti Teknologi MARA's Faculty of Applied Science in Shah Alam, Selangor, Malaysia. Except for the upper stratum, the research on the population of whitefly larvae on brinjal plants covered all plant strata. In the first and second croppings of brinjal plants, whitefly populations were aggregated (Taylor's Power Law Calculate). Whitefly populations were significantly aggregated for both seasons, especially in the middle strata of brinjal plants. The total number of whitefly larvae was found to be most abundant and can be predicted precisely in the middle stratum of the brinjal plants, according to the findings. As a result, these studies are appropriate for developing a thorough understanding of the insect population, which could aid in the development of an effective pest management programme and crop improvement strategy.

Author (s) Details

Z. Mohd Rasdi
Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA Melaka, 77300, Melaka, Malaysia.

I. Fauziah
Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA Melaka, 77300, Melaka, Malaysia.

K. Fairuz
Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA Melaka, 77300, Melaka, Malaysia.

M. S. Mohd Saiful
Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA Melaka, 77300, Melaka, Malaysia.

View Book :- https://stm.bookpi.org/RRAB-V6/article/view/809