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. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Chinese Journal of Evidence-Based Medicine Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption
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:
The present investigation was undertaken to study the “Effect of IBA and rooting media on air layering of Kagzi lime (Citrus aurantifolia Swingle) under rainfed conditions” at the Rainfed Research Sub-Station for Sub-Tropical Fruits (RRSS), Raya, SKUAST- Jammu during the rainy season of 2020-2021. Juvenile branches with 1.00 to 2.00 cm in diameter were girdled and treated with rooting hormoneIndole-3- butyric acid (IBA) @(500 ppm, 1000 ppm and 1500 ppm), four levels of rooting media in different ratio viz., soil + sphagnum moss (2:1); soil + cocopeat + vermicompost (2:1:1) and soil + F.Y.M + sand (2:1:1) along with the control (soil)and their combinations were investigated. Callus was formed at the girdled portions on all air layers with or without the application of hormone. Results revealed that interaction effect of growth regulator and rooting media, IBA@1500 ppm + soil and sphagnum moss (2:1) proved significant in maximizing success percentage (%) of layered plants (95.99%), root parameters i.e. number of primary roots (30.67), number of secondary roots (40.00), maximum length of primary roots (10.70 cm), maximum length of secondary roots (10.27 cm) and survival percentage of air layered plants (98.68%) after planting, whereas, the minimum was reported in control.
Nowadays, there is considerable interest in the development of millet-based products as they are rich in nutrients and other phyto-nutrients possessing health benefits. Instant soup mixes gained extended popularity in the recent years, for providing convenience, variety and taste. So, millet based instant soup mixes is a way to blend millets with mixture of other ingredients in an acceptable manner that finds a ready market. Statistically significant difference at p≤0.01 was observed between control soup mixes and ESFs with respect to water activity, water holding capacity, water absorption index and water solubility index. The Bulk density ranged from 0.68 g/ml to 0.64 g/ml, rehydration ratio from 2.16 % to 2.37%, water holding capacity from 1.53 to 2.14, water activity from 0.48 to 0.50, water absorption index from 6.51 g/100g to 2.88 g/100g and water solubility index from 6.88 g/100g to 5.65 g/100g for the soup mixes. Statistically significant difference at p≤0.01 was found between control and ESFs with respect to moisture, protein, fat, crude fiber, carbohydrates and energy contents. Moisture content ranged from 5.63% to 7.13 %, protein from 5.56 g/100g to 11.40 g/100g, fat from 0.63 g/100g to 2.80 g/100g, ash from 2.07 g/100g to 0.63 g/100g, crude fiber from 1.00 g/100g to 3.32 g/100 g, carbohydrate content from 85.12 g/100g and 74.46 g/100g and energy content from 369.0 K. Cal/100g to 359.4 K. Cal/100g for the soup mixes. Protein, fat, ash and crude fiber content of ESFs was significantly higher than the control soup mix.
The Theory of Constraints is a crucial management discipline that argues there is at least one limited resource in each production system, and a solution should be found to overcome this limited resource in order to increase the market share and profitability of firms. As the bottleneck in the system is identified and managed, production will occur on time and be available to the customer, since delays in the production process will be eliminated. Moreover, costs will be reduced as the efficiency at the bottleneck in the production line is improved, and thus the company can reach its profitability targets. The aim of this study is to determine the optimum product mix under the presence of limited resources in the system with the five-step continuous improvement process of the Theory of Constraints. Within this framework, research has been conducted to solve multiple bottleneck problems in a company operating in the metal processing industry. In this application, by analyzing the capacity utilization rates of the resources, the resources at the bottleneck in the system were identified and the optimal product mix was determined. As there is no throughput priority or mathematical method to production of subcomponents in current process, a new algorithm was proposed which is integrating the linear programming and fuzzy logic methodology with the theory of constraints approach. The problem was defined as an integer linear programming model and solved by an optimization software program called GAMS IDE.
The field experiment and demonstrations were conducted at Agricultural Research Station, Karimnagar and in farmers fields in different mandals of Karimnagar district, Telangana, India from 2017-18 to 2019-20 on Mechanization in maize crop cultivation versus conventional /farmers method of cultivation to study various energy inputs and output energy equivalents, efficiency and productivity. The study consisted of two treatments 1.Conventional method 2.Mechanization in maize cultivation for sowing, spraying, harvesting and threshing operations. The results revealed that Cultivation of maize by mechanization requires significantly less input energy (36651 MJha-1) than compared to conventional farmers practice (37825 MJ ha-1) because of less labour usage under mechanization. The output energy in mechanized method of maize cultivation is significantly less (108089 MJ ha-1) over conventional farmers practice (122537 MJ ha-1) as energy accumulation in mechanization is only from grain yield, While in conventional method both grain and stalk yield contribute to significantly higher output energy and inturn higher net energy (84712 MJ ha-1). However energy efficiency and energy profitability is statistically on par in both methods of maize cultivation. The energy productivity (0.200 Kg ha-1) and energy intensity in economic terms (1.33 MJ Rs. -1) with mechanized method of maize cultivation resulted higher than conventional method indicating energy efficient sustainable production system with advantages of saving of labour mandays, reduction of cost of operation and time over conventional method of maize cultivation.
The experiment was performed in Randomized Complete Block Design (RCBD) with three replications and germplasm evaluated at Vegetable Research Farm, Kalyanpur, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur (Uttar Pradesh) during Kharif season of 2018-19. Analysis of variance revealed significant variability among the strains of okra for all character’s studied. Heritability estimates varied from (60.80%) for length of fruits to (99.70%) for number of seeds per fruit. It was partitioned as very high (above 90%), high (70- 90%), medium (50-70%) and low (less than 50%).heritability estimates were observed very high for number of seeds per fruit (99.70%), days to 50% flowering (99.0%), yield per plant (98.80%), number of fruits per plant (98.50%) and plant height at 45 days. High for diameter of fruit (89.20%), first flowering node (88.30%), Plant height at 90 days. Medium estimation of heritability was recorded for length of fruits. Phenotypic variances range between days to first flowering (4.67) and plant height at 45 days (20.08) The phenotypic coefficient of variations was highest for characters viz., plant height at 45 days (20.08%), number of fruits per plant (17.37%), and number of seeds per fruit (17.34%). and genotypic variances ranging between days to first flowering (4.63) and plant height at 45 days (19.79). High genotypic coefficient of variation was noted for plant height at 45 days (19.79%), number of seeds per fruit (17.38), number of fruits per plant (17.24%) and plant height at 90 days (15.56%). Genetic advance expressed as percent of mean was high (>20%) for plant height at 45 days (40.18), no of seeds per fruits (35.63), number of fruits per plant (35.25), plant height at 90 days (29.94), fruit yield per plant (27.97), diameter of fruits (27.55) and first flowering node (21.87). While the moderate genetic advance (<20 to 10%) was observed for fruit length (15.5) and days to 50% flowering (10.5).