Mitigation scenarios for methane and nitrous oxide emissions from Indian agriculture sector

India is now the fourth largest emitter of greenhouse gases (GHG) in the world with one of the highest growth-rate of emissions. As a fast-growing major economy, its future emissions trajectory is important for the long-term global goal of restricting the temperature rise to “well below 2 ℃”, compared to pre-industrial levels. In India, emissions from methane (CH4 ) and nitrous oxide (N2O) account for about a quarter of all greenhouse gas emissions. The agriculture sector contributes to over 70% of these non-CO2 emissions through activities like rice cultivation, livestock rearing (enteric fermentation and manure management) and application of nitrogen fertilizers. On the other hand, the agriculture sector employs two-third of Indian work force. Around 86% farmers fall in the marginal and small (less than 2 hectares) land-holding category and collectively own about 45% of the total agricultural area and around 80% of total cattle. Considering the socio-economic context, reducing emissions from Indian agricultural sector would be a challenge. The subsistence farming, fragmented production and political economy constraints make it difficult to implement the technological and structural interventions to mitigate the non-CO2 emissions. If India is to achieve net-zero GHG emissions in the latter half of the century, mitigation strategies for the agriculture sector need to balance the climate and sustainable development goals. In this research, we focus on methane and nitrous oxide emissions from the Indian agricultural activities. Our analysis uses the GAINS model which has been widely applied for assessing the mitigation strategies for non-CO2 emissions and multiple air pollutants at regional and global scales. We analyse four mitigation scenarios using different combinations of activities and control measures. For the reference and sustainable policy scenarios, we compare the current policies (often lacking any controls) versus maximum feasible reductions through technological and management control measures to inform the Indian and global climate policy debates. The preliminary results suggest that a combination of sustainable agricultural practices and control measures could reduce the CH4 and N2O emissions by about 30% by 2050 as compared to the reference scenario. This would also contribute to the reduction of ammonia emissions with considerable co-benefits for local air quality and health

Mitigation of non-CO2 greenhouse gases from Indian agriculture sector

The Indian agriculture sector is driven by small and marginal farmers and employs two-thirds of the Indian work force. Agriculture also accounts for around a quarter of the total greenhouse gas emissions, mainly in the form of methane (CH4) and nitrous oxide (N2O). Hence, agriculture is an important sector for India's transition to net-zero emissions and for the achievement of the sustainable development goals. So far, very few studies have assessed the future trajectories for CH4 and N2O emissions from the agriculture sector. Moreover, assessment of CH4 and N2O mitigation potential at a subnational (state) level is missing but is important owing to the regional diversity in India. To fill this gap, we focus on methane and nitrous oxide emissions from the agricultural activities using 23 sub-regions in India. We use the GAINS modelling framework which has been widely applied for assessing the mitigation strategies for non-CO2 emissions and multiple air pollutants at regional and global scales. We analyze a current policy and a sustainable agriculture scenario using different combinations of structural interventions and technological control measures to inform the Indian and global climate policy debates. Our results suggest that a combination of sustainable agricultural practices and maximum feasible control measures could reduce the CH4 and N2O emissions by about 6% and 19% by 2030 and 27% and 40% by 2050 when compared to the current policies scenario with limited technological interventions. At a sub-national level, highest mitigation potential is observed in Uttar Pradesh, followed by, Madhya Pradesh, Rajasthan, Gujarat, Maharashtra, Andhra Pradesh, and Telangana. The mitigation of agricultural CH4 and N2O also has co-benefits in terms of reduced local pollution, improved health, and livelihood opportunities for the local communities

Cholera- and Anthrax-Like Toxins Are among Several New ADP-Ribosyltransferases

Chelt, a cholera-like toxin from Vibrio cholerae, and Certhrax, an anthrax-like toxin from Bacillus cereus, are among six new bacterial protein toxins we identified and characterized using in silico and cell-based techniques. We also uncovered medically relevant toxins from Mycobacterium avium and Enterococcus faecalis. We found agriculturally relevant toxins in Photorhabdus luminescens and Vibrio splendidus. These toxins belong to the ADP-ribosyltransferase family that has conserved structure despite low sequence identity. Therefore, our search for new toxins combined fold recognition with rules for filtering sequences – including a primary sequence pattern – to reduce reliance on sequence identity and identify toxins using structure. We used computers to build models and analyzed each new toxin to understand features including: structure, secretion, cell entry, activation, NAD+ substrate binding, intracellular target binding and the reaction mechanism. We confirmed activity using a yeast growth test. In this era where an expanding protein structure library complements abundant protein sequence data – and we need high-throughput validation – our approach provides insight into the newest toxin ADP-ribosyltransferases

A review of modelling methodologies for flood source area (FSA) identification

Flooding is an important global hazard that causes an average annual loss of over 40 billion USD and affects a population of over 250 million globally. The complex process of flooding depends on spatial and temporal factors such as weather patterns, topography, and geomorphology. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact. Understanding source areas that have a major impact on flooding is, therefore, crucial for strategic flood risk management (FRM). Although flood source area (FSA) identification is not a new concept, its application is only recently being applied in flood modelling research. Continuous improvements in the technology and methodology related to flood models have enabled this research to move beyond traditional methods, such that, in recent years, modelling projects have looked beyond affected areas and recognised the need to address flooding at its source, to study its influence on overall flood risk. These modelling approaches are emerging in the field of FRM and propose innovative methodologies for flood risk mitigation and design implementation; however, they are relatively under-examined. In this paper, we present a review of the modelling approaches currently used to identify FSAs, i.e. unit flood response (UFR) and adaptation-driven approaches (ADA). We highlight their potential for use in adaptive decision making and outline the key challenges for the adoption of such approaches in FRM practises

Inferior pedicle breast reduction: a retrospective review of technical modifications influencing patient safety, operative efficiency, and postoperative outcomes

The inferior pedicle technique remains the most popular approach to breast reduction in the United States. Modifications to this procedure have enhanced versatility, patient safety, and outcome satisfaction in patients with all degrees of macromastia. A 6-year retrospective review of 241 patients who underwent bilateral inferior pedicle breast reduction was conducted at our institution. Modifications analyzed included methylene blue tattooing to provide preoperative landmarks, preoperative hydrodissection to reduce intraoperative blood loss, incorporation of inframammary darting to reduce tension at the “T-junction,” preservation of superomedial volume for enhanced medial fullness, and dermatome blade–guided tissue resection. Inframammary darting reduced the incidence of wound dehiscence. Preoperative hydrodissection reduced intraoperative blood loss by a factor of 2. Dermatome blade use reduced operative times at no increased incidence of postoperative seromas or hematomas. Outcomes resulting from these modifications appear to be at least comparable to, and perhaps better than, those previously reported