AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering. Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Kongzhi yu Juece/Control and Decision Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980) Tobacco Science and Technology
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Garlic and onion grown in Indian Punjab are usually infected with several viruses including the common allium viruses of the genera Allexivirus, Potyvirus and Carlavirus. Onion Yellow Dwarf Virus (OYDV), Shallot Latent Virus (SLV) and Garlic Virus D (GarV-D) were indentified by RT-PCR assay using virus-speciﬁc primer sets. BLASTn analysis of sequences confirmed the presence of OYDV and GarV-D, SLV in infected onion and garlic samples, respectively. During BLASTn analysis OYDV isolate (KP862051) shared 98-99% identity with OYDV isolates (KP862053, KP862052) from Ludhiana and 97% similarity with OYDV isolate (FR833734) from New Delhi. Whereas in the case of garlic viruses, SLV (KR074209) had 91% similarity to SLV isolate (EF600902) from New Delhi and GarV-D isolate (KR045606) showed a maximum resemblance of 99% with GarV-D isolate (HQ724840) from Spain. OYDV isolate (KP862051) shared 79% nt identity with Rajasthan isolate (EU045556) and 72.9% with New Delhi isolate (FR873734), GarV-D isolate (KR045606) shared maximum 99.5% nt similarity with Spain isolate (HQ724840) and SLV isolate (KR074209) shared 90.8 nt similarity with New Delhi isolate (EF600902). Phylogenetic analysis of nucleotide sequences revealed that Indian isolates of OYDV and GarV-D have significantly the closest phylogenetic relationship with Indian and abroad isolates, however SLV isolate (KR074209) was found significantly divergent from abroad isolates. Phylogenetic analysis confirms the evolutionary origin of OYDV and SLV from Indian ancestors and GarV-D origin from Spain isolates. Present investigation unravels the virus diversity, subgrouping, evolutionary history within the allium viruses in India.
The study aims to gauge the symmetric effects of agriculture productivity on carbon–dioxide emissions in India during the post-reform era. The findings divulge the long-run symmetric association between agriculture productivity, economic growth, population growth, and CO2 emissions in India. The ARDL results demonstrate that increased agricultural productivity aggravates environmental pollution and deteriorates the environmental quality in India. The results also confirm that higher economic growth is not environmentally friendly in India because it increases CO2 emissions in India. Another surprising result is that the higher population growth negatively affects the CO2 emissions in India. These empirical findings require serious commitments by the Indian government to curb natural resource depletion by prioritizing more towards eco-innovations and green-energy initiatives. The proposed symmetric model offers unique insights for policymakers to enhance environmental quality and achieve environmental sustainability in India.
Groundnut (Arachis hypogaea L.) is an important legume crop of tropical and sub-tropical areas of the world. This crop suffers from several diseases but collar rot caused by Aspergillus niger van Teighem is one of the most important seed and soil borne diseases causing huge economic loss in India and abroad. Field experiment was conducted to see the interactive effect of salicylic acid through seed soaking with different concentrations (50,100,150 and 200 ppm) were prepared by dissolving in water and Foliar application of different concentrations of salicylic acid (50,100 and 150 ppm) were also provided one each seed soaked treatment at 20 days after sowing. The lowest disease incidence (20.70%) and highest pod yield (22.55 q/ha) were recorded by soaking the seeds with salicylic acid with 200 ppm and foliar application of salicylic acid with 150 ppm and next best was seed soaking of salicylic acid with 150 ppm and foliar application of salicylic acid with 100.Conclusively, seed soaking of salicylic acid 200 ppm and foliar application of salicylic acid with 150 ppm 20 DAS can be a better option to control disease effectively for getting higher monetary returns.
Piezoelectric energy harvesters are promising for converting the power of pedestrian footsteps or car moving on the road in to electricity. However, existing piezoelectric energy harvesters have limitation of poor durability. In this paper, to overcome that issue, a piezoelectric energy harvester using a flexible piezoelectric sensor is designed and fabricated in a tile protype with the indirect-touch points and a protective spring. The electrical output of the proposed harvester is examined as a function of pressure, displacement, and load resistance. The maximum output voltage and maximum output power are obtained to be 6.8 V and 4.5 mW, respectively at a pressure of 70 kPa, a displacement of 2.5 mm, and a load resistor of 15 k. The designed structure brings about the limitation of destroying risk piezoelectric sensor during operating. As a result, the harvester tile can work properly even after 500 cycles. Furthermore, for demonstration of practical application, the tile is putted on the floor of the overpass and walking tunnel. The electrical energy harvested from the pedestrian footsteps can power up a LED lighting.
The advancement of new technologies has highlighted the need for a more precise assessment of the life of goods and systems before allowing them to serve in the market. Due to time and cost constraints, tests must be able to generate rapid and reliable life information, which is not attainable using conventional life testing methods. As a result, various censorship schemes, along with accelerated life testing, in which goods are subjected to increased stress in order to determine the life characteristics of products and systems in a short period of time, have been deemed significant tools. In addition to reducing product testing time through the use of accelerated life testing and various filtering techniques, understanding the impact of failure reasons is critical. In order to get precise failure information, the observer must distinguish between various failure causes. The current work aims to quantify the amount of information accessible for test item lifetimes by employing step-stress partly accelerated life tests with competing risks (CR) based on an adaptive type-I progressive hybrid censoring scheme (AdTI-PHCS). The Rayleigh distribution is used to explain the distribution of test item lifespans. To get point and interval estimates, the maximum-likelihood estimation (MxLE) approach is implemented. Moreover, to assess the performance of the given model parameters, a Monte Carlo simulation approach is utilized.