Article
Environmental Sciences
Gopal Ramdas Mahajan, Bappa Das, Shaiesh Morajkar, Ashwini Desai, Dayesh Murgaokar, Kiran Puna Patel, Rahul Mukund Kulkarni
Summary: The study evaluated the soil quality of salt-affected soils in the coastal region of India using different soil quality indexing methods, finding that non-linear weighted soil quality indexing could effectively assess soil quality and serve as a useful tool for growers, land managers, extension specialists, and policymakers.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Agricultural Engineering
Adil K. Salman, Saad E. Aldulaimy, Huthaifa J. Mohammed, Yaareb M. Abed
Summary: Accurate soil moisture measurements are crucial for optimizing field irrigation. Various soil moisture sensors have been widely used, and site-specific calibration significantly improves their accuracy, especially in gypsiferous and salt-affected soils.
BIOSYSTEMS ENGINEERING
(2021)
Article
Environmental Sciences
Le Thi Thu Hien, Anne Gobin, Duong Thi Lim, Dang Tran Quan, Nguyen Thi Hue, Nguyen Ngoc Thang, Nguyen Thanh Binh, Vu Thi Kim Dung, Pham Ha Linh
Summary: Soil salinity has a significant impact on agricultural production, especially in low-lying coastal areas where saltwater intrusion is a growing concern. Monitoring salinity is challenging due to the influence of soil moisture on the soil's spectral signature. The study found that Fourier-transform infrared spectroscopy can be used to map salt-affected soils, particularly in inaccessible areas. Advancements in thermal satellite sensors may provide possibilities for monitoring soil salinity in the future.
Article
Environmental Sciences
Wenping Xie, Jingsong Yang, Shan Gao, Rongjiang Yao, Xiangping Wang
Summary: Soil salinity significantly affects the availability and components of phosphorus in coastal areas of Jiangsu Province. Environmental factors such as soil salinity, pH, and alkaline phosphatase activity are closely correlated with soil available phosphorus. Soil salinity and alkaline phosphatase activity are the main influencing factors for soil available phosphorus in this study.
Article
Plant Sciences
Khadiga Alharbi, Emad Hafez, Alaa El-Dien Omara, Abdelmoniem Awadalla, Yasser Nehela
Summary: This study investigated the effects of two PGPR and/or Si-NP treatments on sugar beet plants exposed to salt-affected soil under two watering conditions. The results demonstrated that the combined application of PGPR and Si-NP significantly improved the growth and yield of sugar beet under combined stressors.
Article
Green & Sustainable Science & Technology
M. Barka Outbakat, Khalil El Mejahed, Mohamed El Gharous, Kamal El Omari, Adnane Beniaich
Summary: Salinity is a major challenge for crop production and soil and water management in arid and semi-arid regions. This study evaluated the impact of phosphogypsum (PG) on the physical properties of salt-affected soils in Morocco. The findings showed that PG application improved soil structure and other physical properties, reducing the effects of salinity.
Article
Environmental Sciences
Bewuket B. Tefera, Haimanote K. Bayabil, Zhaohui Tong, Fitsum T. Teshome, Peng Wenbo, Yuncong C. Li, Niguss Solomon Hailegnaw, Bin Gao
Summary: Salinity affects over 33% of irrigated farmland globally. Developing a low-cost, safe, and effective material as a soil salinity mitigation option would be of significant importance. This study proposed to synthesize a hydrogel using liquefied biomass from sugarcane bagasse, polyvinyl alcohol, and sodium tetraborate decahydrate. The effectiveness of the produced hydrogel in mitigating soil salinity was evaluated based on an incubation experiment at two salinity levels (5 and 10 dS m-1).
Article
Plant Sciences
Qianjun Yu, Lizhu Suo, Ji Qi, Yi Wang, Qiuli Hu, Yan Shan, Ying Zhao
Summary: This study investigated the parameters and analyzed soil samples of 36 typical Tamarix chinensis communities in the Yellow River Delta. The results showed that T. chinensis density, ground diameter, and canopy coverage increased with increasing distance from the coast, but the communities with the highest plant species diversity were found at 10 to 20 km distance from the coastline. Soil texture, water, and salinity were identified as the main factors influencing T. chinensis community diversity.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Environmental Sciences
Maha Aljabri, Saif Alharbi, Rahmah N. Al-Qthanin, Fekry M. Ismaeil, Jiana Chen, Salah Fatouh Abou-Elwafa
Summary: Under saline soil conditions, applying treated beet sugar filter cake and molasses can enhance the root length, diameter, and leaf area of sugar beet, increase sugar content and root yield, leading to the highest recoverable sugar yield. Increasing the availability of Ca2+ or K content in the soil by applying soil amendments and molasses improves root yield, quality index, and recoverable sugar yield of sugar beet.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Agronomy
Yanely Bahena-Osorio, Marina Olivia Franco-Hernandez, Jose J. Pueyo, Maria Soledad Vasquez-Murrieta
Summary: In recent years, salinity-induced soil quality impairment and mismanagement have affected agricultural productivity. This study aimed to establish an integrated soil quality index (SQI) by evaluating different abiotic stress types in different seasons in the geothermal zone of Los Negritos, Mexico. A total of 39 indicators related to soil fertility and nutrient cycling were assessed, and the minimum dataset (MDS) consisting of total nitrogen (TN), cation exchange capacity (CEC), lithium (Li), and zinc (Zn) was used to calculate the SQI. Higher SQI values were found during the rainy season, indicating better soil performance.
Article
Soil Science
Jiancheng Chen, Hui Wang, Guoqing Hu, Xuhua Li, Yuanjie Dong, Yuping Zhuge, Hongbo He, Xudong Zhang
Summary: The study found that the content of fungal and bacterial residues in saline-affected soils changes with increasing salinity, leading to a shift in their contribution to SOC.
SOIL BIOLOGY & BIOCHEMISTRY
(2021)
Article
Microbiology
Yang Dong, Jianwei Zhang, Ruirui Chen, Linghao Zhong, Xiangui Lin, Youzhi Feng
Summary: Soil salinity has significant impacts on microbial community composition and metabolic activity. This study found that salinity drives a shift in bacterial community composition and reduces microbial activity. In severe-salinity soils, a diverse microbial community with a higher abundance of salt-tolerant species was observed. Addition of labile organic amendments can alleviate salt restrictions on microbial activity.
Article
Agronomy
Jingsong Li, Ce Yang, Tabassum Hussain, Xiaohui Feng, Xiaojing Liu, Kai Guo
Summary: This study evaluated the effects of tamarisk shrub on the restoration of coastal saline soil and its impact on soil salt distribution. The results showed that tamarisk plantation improved soil physical properties, increased soil organic carbon content and porosity, and reduced salt content. Tamarisk promoted root growth and enhanced soil physical quality, preventing soil degradation. Additionally, tamarisk increased salt leaching and contributed to a more homogeneous salt distribution in the soil profile.
Article
Environmental Sciences
Junyao Liu, Wenping Xie, Jingsong Yang, Rongjiang Yao, Xiangping Wang, Wenxiu Li, Glen R. Walker
Summary: The combination of organic fertilizer with microbial fertilizer and humic acid is an effective measure to regulate the pH and electrical conductivity of coastal saline soils. Additionally, the combination of organic fertilizer with attapulgite clay can reduce the electrical conductivity of the surface soil.
Article
Plant Sciences
Saif F. Alharbi, Fahad S. Alotaibi, Lixia Ku, Wenying Zhang, Salah Fatouh Abou-Elwafa
Summary: Maize, a key component of global food security, faces threats from abiotic stresses such as salinity. An experiment was conducted to evaluate the effects of using beet sugar FC treated with phosphoric and sulfuric acids (TFC) and molasses on a maize cultivar in saline soil. The application of 5 tons of TFC and 125 liters of molasses significantly increased plant height and fresh and dry weights of the maize plants, while reducing sodium accumulation and increasing calcium and potassium accumulation. Applying TFC and molasses also improved soil properties and reduced economic costs. TFC shows promise as an organic amendment for saline soils to enhance plant growth and biofortification.
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION
(2023)
Article
Biophysics
Bappa Das, Dayesh Murgaonkar, S. Navyashree, Parveen Kumar
Summary: Cashew is an ecologically sensitive cash crop, and this study compared different models for predicting cashew yield based on weather parameters. The results showed that the LASSO model performed the best and can be used for advance prediction of cashew yield.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2022)
Article
Agronomy
Krishna Viswanatha Reddy, Venkatesh Paramesh, Vadivel Arunachalam, Bappa Das, P. Ramasundaram, Malay Pramanik, Shankarappa Sridhara, D. Damodar Reddy, Abed Alataway, Ahmed Z. Dewidar, Mohamed A. Mattar
Summary: Climate change is a major obstacle for agricultural development in developing countries. Farmers' perceptions of climate change and their adaptation strategies are crucial in mitigating and adapting to climate change effects. A study in Goa, India, revealed that a majority of farmers have experienced climate change, leading to declining crop and livestock productivity. Farmers are adapting through crop diversification and integrated crop-livestock systems. Policymakers should support climate-resilient agriculture systems to help farmers cope with climate change and enhance their economic wellbeing.
Editorial Material
Soil Science
Surendra Kumar Singh, Deepak Shankar Rao Mohekar, Vadivel Arunachalam, Nirmal Kumar, Sudipta Chattaraj, Roomesh Kumar Jenna, Bappa Das, Parveen Kumar
Article
Geosciences, Multidisciplinary
Bappa Das, Pooja Rathore, Debasish Roy, Debashis Chakraborty, Raghuveer Singh Jatav, Deepak Sethi, Praveen Kumar
Summary: Soil moisture information is crucial for water resource management, drought monitoring, and agricultural yield prediction. This study improved the prediction accuracy of soil moisture by fusing optical, thermal, and microwave remote sensing data using machine learning techniques, and stacking multiple machine learning models was recommended for digital soil moisture mapping.
Article
Biophysics
Shankarappa Sridhara, Konapura Nagaraja Manoj, Pradeep Gopakkali, Girish R. Kashyap, Bappa Das, Kamlesh Kumar Singh, Amit Kumar Srivastava
Summary: This study examines the prediction of pigeon pea yield using long-term weather data. Among the different approaches, the artificial neural network (ANN) model resulted in the highest accuracy with a high coefficient of determination and low error values. Temperature was identified as the most influential variable for pigeon pea yield. These methods can be effectively used for precise yield prediction in different districts of Karnataka, India.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Agronomy
Ramasamy Maruthadurai, Bappa Das, Raman Ramesh
Summary: This study used the latest CMIP6 models to predict the potential distribution of Rugose spiraling whitefly (RSW) in India under present and future climate change scenarios. The results showed that the suitable habitat area for RSW is predicted to increase, indicating a higher probability of invasion and spread in the future climate conditions.
PEST MANAGEMENT SCIENCE
(2023)
Article
Environmental Sciences
Avijit Ghosh, Amit K. Singh, Bappa Das, Kingshuk Modak, R. V. Kumar, Sunil Kumar, Kamini Gautam, Dipak Ranjan Biswas, A. K. Roy
Summary: The unintended impact of natural summer fire on soil is complicated and less studied. This study investigated the recovery of different soil properties after a natural fire, with a specific focus on phosphorus dynamics. The results showed a decline in soil organic carbon, nitrogen, sulfur, and potassium availability after the fire, but some recovery was observed after three months. Path analysis indicated that microbial activity and cationic micronutrients played a major role in the recovery of soil phosphorus fractions. It is important to prevent natural summer fires to avoid soil loss.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
R. N. Singh, Prameela Krishnan, Vaibhav K. K. Singh, Bappa Das
Summary: Reliable and quick estimation of wheat yellow rust (WYR) severity in field can be achieved using machine learning models with visible and thermal imaging, which helps to manage the disease and reduce losses.
GEOCARTO INTERNATIONAL
(2023)
Article
Green & Sustainable Science & Technology
Anurag Satpathi, Parul Setiya, Bappa Das, Ajeet Singh Nain, Prakash Kumar Jha, Surendra Singh, Shikha Singh
Summary: The study compared five different models to predict rice crop yield and found that the artificial neural network model performed well in the Raipur and Surguja districts, while the ELNET and LASSO models performed better in the Bastar district. The performance of the ensemble model was better than the individual models.
Article
Medicine, General & Internal
Sharanya Kushalan, Anusha Kashyap, Shaiesh Morajkar, Smitha Hegde
Summary: This study investigated the geospatial distribution of selected heavy metals in open-well waters in Mangalore City Corporation. The results showed that the pH of the samples was acidic, and some areas had colored water. Certain areas also had high turbidity levels. The fluoride concentration in the water samples was below the permissible limit set by the World Health Organization. Iron levels were within the acceptable range except for two areas. Arsenic was not detected in any of the samples.
JOURNAL OF HEALTH AND ALLIED SCIENCES NU
(2023)
Article
Ecology
R. N. Singh, P. Krishnan, C. Bhardwaj, B. Das
Summary: Accurate estimation of disease severity under field conditions is essential in minimizing yield losses in agriculture. This study utilized thermal and visible imaging combined with machine learning and model combination techniques to improve the estimation accuracy of plant disease severity. The Cubist model was found to be the best ML model, while the KNN model was the poorest predictor. MC techniques enhanced the prediction accuracy by combining ML models.
ECOLOGICAL INFORMATICS
(2023)
Article
Ecology
Abhradip Sarkar, Pragati Pramanik Maity, Mrinmoy Ray, Debashis Chakraborty, Bappa Das, Arti Bhatia
Summary: The study focuses on the estimation of mean weight diameter (MWD) of soil, which is essential for sustainable soil management. The researchers used different predictive estimation methods, including empirical PTFs and machine learning based PTFs, to improve the efficiency of soil analysis. The results showed that the SVM model with input data D performed the best in predicting MWD in the Karnal district of Haryana, India.
ECOLOGICAL INFORMATICS
(2023)
Article
Plant Sciences
Nandita Mandal, Sujan Adak, Deb K. Das, Rabi N. Sahoo, Joydeep Mukherjee, Andy Kumar, Viswanathan Chinnusamy, Bappa Das, Arkadeb Mukhopadhyay, Hosahatti Rajashekara, Shalini Gakhar
Summary: Rice is a staple food for many people and is often affected by pests and diseases, such as rice blast, which can cause significant yield loss. Traditional methods for disease assessment are time-consuming and expensive. This study explored the use of hyperspectral remote sensing to quickly and accurately assess the severity of rice blast disease. Field experiments were conducted with different rice genotypes, and spectral observations were taken using a portable spectroradiometer. Different spectral indices and multivariate models were tested to predict blast severity. The results showed that the proposed indices and support vector machine regression model were effective in estimating blast severity. This methodology can help in early detection and large-scale monitoring of diseases, providing better disease management options.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Agronomy
Venkatesh Paramesh, Parveen Kumar, Tejasvi Bhagat, Arun Jyoti Nath, Kallakeri Kannappa Manohara, Bappa Das, Brijesh Fal Desai, Prakash Kumar Jha, P. V. Vara Prasad
Summary: Identifying sustainable crop production systems that optimize nutrient management and improve soil quality is crucial for meeting the increasing demands of a growing population. In this study, different nutrient management practices were evaluated under the rice-rice cropping system in Goa, India. The results showed that integrated nutrient management, combining organic and inorganic sources, improved soil carbon stock, microbial biomass carbon, and crop yield compared to chemical fertilizer alone. The study highlights the importance of integrated nutrient management systems for sustainable agriculture.
Article
Chemistry, Analytical
V. Arunachalam, Diksha C. Salgaonkar, Nisha Vasantlal Kevat, Bhakti Vinod Walawalkar, Bappa Das
Summary: This study utilizes three methods (spectrophotometer, Smartphone-based Color Grab App, and mid-Infrared Spectra) to measure the variation of foliar betacyanin content in amaranth leaves. The results show significant correlations and provide non-invasive betacyanin estimation methods that are significant to food processors, consumers, farmers, and educational & research institutions.
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
(2022)