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Santosha Rathod

Publications (17)

Assessement of Decadal Changes in Groundwater Levels through Trend Analysis: A Case Study from Nuthankal, Telangana, India

Cherupally Vinod, Santosha Rathod, K Supriya & B.Balaji Naik · Journal of Experimental Agriculture International · 2025

This study investigated groundwater level changes in Nuthankal village, Suryapet district, Telangana, using monthly data from 2014 to 2024. Statistical trend analysis methods, including the Mann-Kendall test, Sen’s slope estimator, Modified Mann–Kendall test, and Innovative Trend...

Open access Research Article 10.9734/jeai/2025/v47i73624

Modelling the Relationship between Weather Variables and Rice Yellow Stem Borer Population: A Count Data Modelling Approach

Bojjareddy Nanda Kumar Reddy, Santosha Rathod, Supriya Kallakuri, Yerram Sridhar, Meena Admala, Seetalam Malathi, Pramit Pandit & Bellamkonda Jyostna · International Journal of Environment and Climate Change · 2022

Aim: This study was conducted to model the relationship between discrete dependent variable (yellow stem borer population) and continuous weather variables. Data Description: The yellow stem borer (YSB) population and standard meteorological week (SMW) wise weather variables (tem...

Open access Research Article 10.9734/ijecc/2022/v12i111410

Statistical Assessment of Temperature Trends and Change Points in Telangana State, India

Kona Naga Venkata Lakshmi Laasya, Supriya Kallakuri, Santosha Rathod, Lakshmi Neelima, Admala Meena & Bellamkonda Jyostna · International Journal of Environment and Climate Change · 2024

Aim: This study aimed to analyse the trends and changes in long-term monthly and annual temperature patterns in Telangana state, India. For this study monthly temperature data of Telangana state from January 1960 to December 2022 was collected from the IMD website. The linear reg...

Open access Research Article 10.9734/ijecc/2024/v14i44126

Trend Analysis of Rainfall in Telangana State (India) Using Advanced Statistical Approaches

Bellamkonda Jyostna, Admala Meena, Santosha Rathod, Mangal Deep Tuti, Supriya Kallakuri, D. Bhanusree & Bojjareddygari Nanda Kumar Reddy · International Journal of Environment and Climate Change · 2022

This study was carried out to analyse the trend analysis of the long-term annual and seasonal rainfall pattern in Telangana state, India. For this study monthly rainfall data of Telangana state from January 1982 to December 2021 was collected from the NASA power website (https://...

Open access Research Article 10.9734/ijecc/2022/v12i111391

Genetic Variability and Character Association Studies on Yield Attributing and Grain Quality Traits in Rice (Oryza sativa L.)

Greeshma Vallala, J. Aravind Kumar, Y. Chandra Mohan & Santosha Rathod · Journal of Scientific Research and Reports · 2024

Aim: The present investigation was undertaken with 49 genotypes to study variability and genetic parameters in addition to character association and path effects of yield, yield attributing and quality traits. Design: Simple lattice design with two replications. Place of study: F...

Open access Research Article 10.9734/jsrr/2024/v30i82278

Modelling Long Memory Time Series for Groundnut Prices in Andhra Pradesh with Autoregressive Fractionally Integrated Moving Average for Forecasting

P. Swarnalatha, V. Srinivasa Rao, G. Raghunadha Reddy, Santosha Rathod, D. Ramesh & K. Uma Devi · Journal of Scientific Research and Reports · 2024

The presence of long memory in time series is characterized by an autocorrelation function that decreases slowly or hyperbolically. The most suitable model for capturing this phenomenon is the Autoregressive Fractionally Integrated Moving Average (ARFIMA) model, which is particul...

Open access Research Article 10.9734/jsrr/2024/v30i72145

Application of Machine Learning Techniques Models for Forecasting of Redgram Prices of Andhra Pradesh, India

P. Swarnalatha, V. Srinivasa Rao, G. Raghunadha Reddy, Santosha Rathod, D. Ramesh & K. Uma Devi · Journal of Scientific Research and Reports · 2024

Recent advancements in Machine Learning (ML) had proven highly effective in modeling time series data, consistently outperforming traditional time series models in forecasting accuracy according to empirical studies. However, the application of ML techniques in forecasting agricu...

Open access Research Article 10.9734/jsrr/2024/v30i72142

Technological Constraint Analysis of Sustainability of Farming Systems

Seepana Anil Kumar, B. Savitha, V. Ravinder Naik, D. Srinivasa Reddy & Santosha Rathod · Journal of Scientific Research and Reports · 2026

Agricultural sustainability in the semi-arid tropics of India is increasingly threatened by technological, ecological, and socio-economic constraints. This study investigates the technological barriers hindering the sustainability of farming systems in Telangana State, India. Usi...

Open access Research Article 10.9734/jsrr/2026/v32i94473

Livelihood Diversification and Income Sources of Rural Women in the Kaleshwaram Lift Irrigation Project (KLIP) Link-4 Command Area of Telangana, India

Chotiya Shiva Jyothi, Challa SriLatha, Mouhmad AliBaba, Ravinder Naik & Santosha Rathod · Journal of Scientific Research and Reports · 2026

Women play a significant role in sustaining rural livelihoods through their participation in agricultural and allied activities. The present study examined livelihood diversification, income sources and time allocation among rural women in the Kaleshwaram Lift Irrigation Project...

Open access Research Article 10.9734/jsrr/2026/v32i84438

Spatio-temporal Analysis of Meat Production in Telangana, India

K. Varalakshmi, D. Srinivasa Reddy, R. Vijayakumari, K. MadhuBabu & Santosha Rathod · Journal of Scientific Research and Reports · 2025

Meat is a primary source of protein consumed in the world and secondary source of protein in India. India produced 10.25 million tonnes of meat in 2023-24. Telangana is the fourth largest meat producing state accounting for 10.85% of India’s meat production. The present study att...

Open access Research Article 10.9734/jsrr/2025/v31i113733

Analysis of Greenhouse Gas Emissions (GHG) from Livestock Sector in India with Special Reference to Dairy in Telangana

K. Varalakshmi, K. Suhasini, D. Srinivasa Reddy, K. Madhu Babu & Santosha Rathod · International Journal of Environment and Climate Change · 2025

Livestock constitutes an integral component of Indian agriculture sector and also a major source of Greenhouse Gas Emissions(GHG) emissions. The study uses both secondary and primary data for estimating GHG emissions from livestock in India and also Telangana. The study presents...

Open access Research Article 10.9734/ijecc/2025/v15i115122

Economics of Rice Ecosystems in Telangana: A Comparative Assessment for Sustainable Policy

Chikkulapally Shekhar, D. Srinivasa Reddy, K. Suhasini, M. Jagan Mohan Reddy & Santosha Rathod · Journal of Scientific Research and Reports · 2025

Rice is the primary staple crop and a key component of agricultural livelihoods in Telangana, India. The present study analyzes the comparative economics of three rice establishment methods Conventional Transplanting (CT), Wet Direct-Seeded Rice (Wet DSR) and Dry Direct-Seeded Ri...

Open access Research Article 10.9734/jsrr/2025/v31i113651

Rice Consumption Patterns Across Rural and Urban Telangana: A Comparative Study

Chikkulapally Shekhar, D. Srinivasa Reddy, K. Suhasini, M. Jagan Mohan Reddy & Santosha Rathod · Archives of Current Research International · 2025

Rice is the most important staple food in India and a critical component of food security and livelihood systems in Telangana. This study aims to analyze the consumption patterns and preferences for rice among rural and urban consumers in Telangana, with a focus on the sensory, p...

Open access Research Article 10.9734/acri/2025/v25i101570

Maize Production in Telangana, India: What’s Holding Back Productivity?

Siripuram Haripriya, B. Nirmala, K. Suhasini, B. Savitha & Santosha Rathod · Journal of Scientific Research and Reports · 2025

The study aims to identify the production constraints faced by farmers in maize cultivation in Kamareddy and Warangal districts of Telangana state during 2024. A sample of 120 farmers was selected by using a multistage random sampling method. The Garret ranking results revealed t...

Open access Research Article 10.9734/jsrr/2025/v31i83384

Unravelling Trait Interrelationship and Effects in Mapping Population Derived from Jaya × Goa Dhan 2 of Rice (Oryza sativa L.)

Ubarhande Vinod Ananda, V. Hemalatha, K. K. Manohara, C. Gireesh, D. Saida Naik & Santosha Rathod · Journal of Advances in Biology & Biotechnology · 2025

The study aimed to analyse the relationship between grain yield and its component traits in rice for identifying key contributors to yield improvement. An Augmented Randomized Complete Block Design (RCBD) was employed to evaluate 244 recombinant inbred lines (RILs) derived from t...

Open access Research Article 10.9734/jabb/2025/v28i92972

Long Term and Seasonal Rainfall Trend in Bapatla District of Andhra Pradesh Using Advanced Statistical Methods

P. Swarnalatha, R. Srinivas, Yamini Leela A., K. Jeevan Babu, V. Srinivasa Rao, Santosha Rathod & D. Ramesh · International Journal of Environment and Climate Change · 2023

The primary objective of this study is to analyse the annual and seasonal rainfall trends in the Bapatla district of Andhra Pradesh over the long term. The seasonal rainfall data for Bapatla district was collected from the NASA Power website and covering the period from January 1...

Open access Research Article 10.9734/ijecc/2023/v13i113532

Application of the CERES-Rice Model for Rice Yield Gap Analysis

D. Bhanusree, D. Srinivasachary, B. Nirmala, K. Supriya, B. Balaji Naik, Santosha Rathod, . Brajendra, Bojjareddy Nanda Kumar Reddy & Jyostna Bellamkonda · International Journal of Environment and Climate Change · 2022

Aim: This study aimed to quantify and identify the trends in the yield gaps over the 15 years (2006-07 to 2020-21) in the Karimnagar district of Telangana State in India. The DSSAT v4.7.5 CERES-Rice model was used to calculate the potential yields and then yield gaps were calcula...

Open access Research Article 10.9734/ijecc/2022/v12i111396