Water quality trading (WQT) could be an innovative policy to incentivize farmers to implement best management practices (BMPs) for their activities. This study focused on assessment of involving unregulated agricultural nonpoint sources (NPS) into the WQT market in Gharesoo watershed in the west of Iran. It also proposes a methodology to determine location-based trading ratios as well as environmental penalty cost to achieve a more well-designed market structure. Trading activities in different scenarios were described by trading volume (TV), participation rate (PR), total exchanged value (TEV), and other market parameters in order to achieve a better comparison of market performance. Results showed that, by applying NPS to the Gharesoo watershed, total phosphorous (TP) trading market could increase TV, PR, and TEV up to 11, 1.7 and 7.5 times, respectively, depending on which level of BMPs are implemented by them. Additionally, it could save 29% of the total cost of implementing a TP total maximum daily load in this watershed compared to the 'command and control' approach. Furthermore, the agricultural sector could profit by $5.49 million (or $75/ha) by choosing solutions such as terrace systems and filter strips to register into the market. This profit can be allocated to the development of new agricultural technologies.
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http://dx.doi.org/10.2166/wst.2016.398 | DOI Listing |
Microb Pathog
January 2025
Animal Science College, Tibet Agriculture & Animal Husbandry University, Linzhi, 860000, China; The Provincial and Ministerial Co-founded Collaborative Innovation Center for R & D in Tibet Characteristic Agricultural and Animal Husbandry Resources, Linzhi 860000, China. Electronic address:
Unregulated pig farming practices expose pigs to fecal sewage and antibiotic stress, which are common health risk factors. Thus, its effects on the animals' intestinal microflora were investigated herein. In total, 2,315,563 high-quality sequences were obtained via amplitude sequencing and, after OUT clustering, the fecal sewage group was identified to have the highest number and the antibiotic exposure group the lowest.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
The Tianshan wild fruit forest region is a vital repository of plant biodiversity, particularly rich in the unique genetic resources of endemic medicinal plants in this ecological niche. However, human activities such as unregulated mining and excessive grazing have led to a significant reduction in the diversity of these medicinal plants. This study represents the first application of DNA barcoding to 101 medicinal plants found in the Tianshan wild fruit forests, using three genetic loci along with morphological identification methods.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Plant Pathology, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, 741252, India.
This study aims to enhance sustainable disease management in black gram by identifying varieties resistant to Mungbean Yellow Mosaic India Virus (MYMIV). We screened sixteen black gram genotypes, assessing physiological, biochemical and enzymatic basis. Results revealed a range of resistance levels, with PANT URD-19 showing the highest resistance (PDI 0.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Crop Science, Faculty of Agriculture, University of Nigeria, Nsukka, Nigeria.
In recent years, more agricultural lands are been converted to photovoltaic (PV) power plants for better return on investment. However, prioritizing energy generation over food production poses a significant threat to the well-being of the rapidly growing global population. Agro-photovoltaics (APV) provide an opportunity to integrate crop production under PV panels.
View Article and Find Full Text PDFMolecules
December 2024
LAQV/REQUIMTE, Department of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.
This study monitored the contamination of 32 plasticizers in olive oil throughout the production and storage process. Samples were collected at different stages of production from three olive oil production lines in distinct regions of Portugal and analyzed for 23 phthalates and 9 phthalates substitutes to identify contamination sources. The developed analytical method employed liquid-liquid extraction with hexane/methanol (1:4, /), followed by centrifugation, extract removal, and freezing as a clean-up step.
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