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.
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: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
Sesame (Sesamum indicum L.) is one of the important oilseed crop which is widely cultivated in tropical and subtropical areas of Asia, Africa and South America since ancient times. Present study was carried out to evaluate the phenotypic variability in sesame genotypes from different parts of West Bengal and some major sesame growing states of India along with eight genotypes from USA, Bulgaria and Bangladesh, using 12 quantitative traits. Genotypes like CUMS 17, CUHY 57, MT 75, Atghara, RT 351 were to some extend better performed than the check variety TKG 22 and GT 10 regarding yield and other yield attributing traits in both locations (Ranaghat and Baruipur) At both genotypic and phenotypic level, seed yield per plant showed significant positive correlations with 1000 seed weight, seeds per capsule and capsules per plant and significant negative correlation with days to maturity, which suggests that seed production is mostly depends on these mentioned characters whereas early maturity depends on early flowering. Highest oil content was observed in TKG-352(53.13) followed by EC 96, CUMS 17, RT 351, Shekhar, GT 10 those recorded > 48% oil contents. Three genotypes namely AT 306, RT 351 and HT 2 recorded higher value of soluble protein content of > 17 %. In cluster analysis genotypes grouped into various clusters exposed that there was no relationship between geographical distribution and genetic diversity. These results have an important suggestion for sesame genotypes agro-morphological characterization, evaluation and improvement in future.
The purpose of this study was to determine the effects of use of petroleum diesel (D100) and biodiesel (B100) fuel blends compared to pure diesel on the engine performances of a farm tractor with a tillage implement in field. The experiments were conducted on a tractor engine using a blend of biodiesel and petroleum diesel in the ratio of 20, 50, 80 and 100 % of biodiesel in the blends. The tractor performed with each blend doing standard tillage in field spots of 2500 m2 with three repetitions. The specific fuel consumption improved as percentage of biodiesel increased in the blend, obtaining a minimum of 0.0966 (L/kWh) for Biodiesel Alone B (100). While the energy efficiency in the usage of fuel by the tractor decreased as the percentage of biodiesel in the blend was increased, showing a maximum value of 104.9 % for a 20 % of Biodiesel in the blend, with respect to the Diesel fuel (D100), whose efficiency was considered being 100 % as a referential value.
The purpose of this study is to analyze the problem of management of natural- anthropogenic complexes of rural territories in the context of the post-non-classical type of scientific rationality at the philosophical and methodological levels. The problem of management of natural-anthropogenic complexes is considered and analyzed in the article at the philosophical level in the context of the humanistic interpretation of philosophical constructivism. At the methodological level, the management of natural-anthropogenic complexes of rural territories is considered in the basic paradigm “subject – metasubject”, in which a natural-anthropogenic complex is presented in the form of a self-developing environment, an integrated study of which is possible only using an interdisciplinary approach.
Irrigation plays an imperative role in agriculture production and productivity growth. The present study is an attempt to realize the goal of assessing impact of small scale irrigation project on rural household’s income. It was conducted on Kashu irrigation project located at Shey Bench district, Southwest Ethiopia. A Cross-sectional data was collected from 264 households (128 irrigation users & 136 non-irrigation users) of Bata Kebele of the district for estimating the results using econometric models. To this end, several variables were used to determine household’s probability of participation in irrigation use. The decision to participate in irrigation was significantly influenced by irrigation experiences, frequency of extension contact, access to credit services, distance to nearest market and training access. The estimated results via propensity score matching (PSM) estimation technique indicated that the average income of irrigation user’s household is significantly higher than nonusers by birr 2460.70 (US dollar 70.40) per year. Our analysis also shows that the Radius (Caliper) matching with a bandwidth of 0.25 is considered as best estimator for quality matches based on the criteria of (balancing test=12, pseudo-R2 = 0.065 and matched sample size=226). Based on these findings, it is recommended that strong markets infrastructure; better extension service, effective farm training system may have the potential to attract the farmers in to the irrigation project.
Design of mufflers is a complex function that affects back pressure, noise characteristics, emission and fuel efficiency of engine. Back pressure caused by exhaust system has negative effect on engine efficiency, resulting in decrease of power. Muffler to be design in such a way that the back pressure should be optimum and it should not disturb the subsystem operations. Hence, goal of this paper was to shorten product development cycle time through back pressure optimization. There are number of formulas for back pressure and each formula gives different result. So, to minimize the number of iteration to finalize any one of the back pressure formula, CFD analysis was performed. For validation of the back pressure theoritical formula and CFD result, simple pipe flow calculation and CFD analysis has been performed, so that at least maximum error percentage can be predict. By comparision of all three formula results with CFD analysis and experiment value have been tabulated to find error percentage. The target of the project work was to get error % of CFD and Theoretical formula to get below 15%. The minimum and the best result came for formula II that is taken up by benchmarking company’s installation guide of exhaust system for which error % was 14%. This paper gives prediction of back pressure value during its preliminary stage of design.