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:
Energy and water are crucial for humans in all their activities. In rural areas, irrigation is a surviving key where sustainable approaches like solar water pumping systems are required to meet this demand. One of the crucial challenges in the hydraulic field is the flow rate measurement with high accuracy. The exact estimation of the water flow rate pumped using a solar photovoltaic water pumping system is essential to evaluate the system's performance. This paper presents an analytical method to study a comparative analysis of the results of the system measurement errors. The experimental data are collected from our pumping system located in Adrar city (Algeria). The performance is analyzed using the measured water flow rate data using three different meters, one ultrasonic and two turbine meters, where a turbine meter is used as a standard meter. The test was done in May 2019.
Jammu and Kashmir is known to the world for its cultural heritage and shares much resemblance to the Middle Eastern countries like Iran. The cultural richness of the valley is showcased through various mediums and carpet is one the main reflections of it. The study attempted to analyze the impact of domestic income, horticulture output, political conflict and population growth on the carpet industry of Jammu and Kashmir. Taking annual time series data from 1990 onwards, the autoregressive distributed lag (ARDL) model is employed to estimate the long run and short run results. The empirical results indicate that domestic income negatively affecting the output of the carpet industry both in the long run as well as in the short run. Further, some sort of structural shift from primary commodities to secondary and tertiary sectors is visible from the econometric results. It is also revealed by the results that during political upheaval and lockdowns, the carpet industry provides a lifeline to support the local employment. The paradoxical findings arise due to fact that clampdown and terror has forced the people to look for safer jobs and at the same time to be closer to their families and relatives. The horticulture activities compliment the carpet output by releasing the labor in slack seasons. The whole diagnostic testing deducts that our model is robust and statistically significant. The theoretical properties driven out of this study can be used for policy analysis.
This study was carried out to investigate the effect of the cleaning process (cleaning and without cleaning) and lint grades six grades (G/FG, G, FGF/ G, FGF, GF/FGF and GF) on fiber quality (upper half mean length m.m.), uniformity index% fiber strength g/Tex and micronair value and yarn quality – C. V%-) of some extra-long-staple cotton varieties (Giza 93, Giza87, Giza92, Giza96, and Giza88) and some long-staple cotton verities (Giza86, giza94, giza97, giza90 and Giza 95) and their interaction. Results indicated that the difference between cleaning treatments’ upper half mean length (m.m), uniformity index%, fiber strength (g/Tex), Micronair, yarn strength, and yarn and yarn evenness (C.V%) were significant at all varieties of extra-long staple. Results showed that differences between lint grades six were significant. G/FG and G grades gave the best values for all studied traits, and GF gave the worst values for all these traits. Also, results indicated that the differences between verities were significant for all studied traits. The interaction between the cleaning process and verities on yarn strength and yarn evenness (C.V%) was significant.
Due to the absence of effective management techniques, weed infestation is one of the main biotic factors affecting wheat output and productivity. Herbicides are a crucial part of agricultural production systems because they are the quickest, cheapest, and most effective way to control weeds. Decrease in the use of herbicides without compromising yields can save production costs and environmental damage. Evaluation of herbicides and their mixtures were studied at the experimental farm of the Department of Agronomy, CSK HPKV, Palampur, to control the broad-leaf weed infestation in wheat. Findings exhibit that among the different herbicide treatments tested Halauxifen methyl Ester + Florasulam + Polyglycol recorded significantly higher growth and yield attributes of wheat which was statistically at par with Halauxifen-methyl + florasulam + carfentrazone + surfactant treatment while significantly lower growth and yield attributes of wheat was recorded in weedy check treatment. Higher yield (straw and grain) and weed control efficiency of wheat was recorded in Halauxifen-methyl + florasulam + carfentrazone + surfactant treatment while lower grain yield, straw yield and weed control efficiency was recorded in weedy check. Hence, highest gross returns (134.3 × 103 INR ha-1), net returns (91.4 × 103 INR ha-1) and B: C ratio (2.13) were obtained from Halauxifen-methyl + florasulam + carfentrazone + surfactant 10.21 + 20 g a.i. ha 1 treatment.
Rice is the major staple food crop across the globe. Rice productivity is hindered by several biotic and abiotic stresses, which cause serious damage to plant growth and yield losses. Understanding the regulatory molecular events and their biological mechanisms, which are interconnected through the molecular interaction process to minimize the yield losses caused by the occurrence of stress factors, is of great importance. In this study, the data on experimentally curated stress-responsive miRNAs and lncRNAs in rice were collected from the literature and stored in a database. The chromosome map, bipartite network, and blast options were developed for miRNA. The basic features of miRNA (402) and LncRNA (4,543) include miRNA, miRNA ID, position, chromosome no, sequence, regulation, and protein function. For LncRNA, gene ID, chromosome number, gene regulation strands for abiotic stress and transcript ID, chromosome number, gene regulation strands for biotic stress, chromoMap network, and blast options were included in the database.The database can be efficiently used for genetic engineering experiments such as the development of CRISPR/cas9 construct and generation of transgenic plants and also for molecular breeding, which would facilitate the development of high-yielding rice varieties with broad-spectrum biotic and abiotic stress tolerance.