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:
In hilly agro-ecologies of north-western Himalayan region, there is always a scarcity of quality green fodder during extreme winter months. Due to this reason farmers are unable to feed their livestock properly and often the livestock remained under nourished, becomes weak and prone to various diseases. Wheat being a major winter season cereal crop can be grown for dual purpose providing grain as well as high quality forage for livestock from same patch of land. It is a valuable source of high quality forage, rich in protein, energy, nutrients and low in fiber. An experiment was conducted during the rabi season of 2017-18 and 2018-2019 at Rajouri, Jammu and Kashmir, to study the effect of cutting intervals and nitrogen levels on growth and yield of dual purpose wheat. Among the cutting intervals, the uncut wheat gave significantly higher growth parameters, yield attributes, grain yield and straw yield than other cutting treatments. Whereas, the cutting of wheat for green forage at 85 DAS gave significantly higher green forage yield over other cutting intervals but the highest grain equivalent yield was recorded when cutting of wheat for green forage was done at 65 DAS (5.54 t/ha.) which was closely followed by the cutting interval of 75 DAS (5.41 t/ha) which recorded maximum, net returns (70.1 x103 ₹ / ha) and benefit cost ratio (2.20). Among nitrogen levels, application of nitrogen @ 120 kg/ha recorded significantly higher growth, yield attributes and yield of wheat. Partial factor productivity, agronomic efficiency, net returns and benefit: cost ratio of wheat except partial factor productivity which was recorded maximum with application of nitrogen @ 60 kg/ha.
Growth and mortality parameters, exploitation rates and recruitment patterns were estimated from the monthly length-frequency samples of Leiognathus splendens collected from the catches of trawl fisheries in Myeik coastal waters, Myanmar. The estimated values of von Bertalanffy growth parameters: L∞, K and t0 were 14.7cm, 1.3 year-1 and -0.008. L. splendens attains total lengths of 7.11, 10.74, 12.63, 13.62 and 14.7cm at the end of 0.5, 1, 1.5, 2 and 2.5 years, respectively. Longevity calculated from Pauly’s equation was estimated as 2.29 years. The estimated mortality rates Z, M and F were 4.86, 2.54 and 2.32 year-1, respectively. The resultant exploitation rate was 0.5. Recruitment was noted to be year- round and bimodal.
The selection method against drought stress using PEG in the vegetative phase was used to simulate maize tolerance to drought stress in the vegetative phase. The main objective of this research was to determine the response of maize genotypes that were tolerant and sensitive to drought stress in the vegetative phase. The research was conducted at the Greenhouse, Agrotechnology Study Program, Trunojoyo University, Madura – Indonesia. The planting materials consisted of twenty maize genotypes, consisting of fifteen Madura-Indonesian local maize genotypes, and five national-Indonesian varieties (Srikandi Kuning, Sukmaraga, BISI-2, PIONEER 21, and Anoman). The research design used a factorial randomized complete block design. The first factor was twenty maize genotypes, while the second factor was the giving of PEG- 6000 solution with a concentration of 10% which was equivalent to -0.19 Mpa. The results of the vegetative phase selection of drought stress- tolerant maize genotypes revealed that G3, G4, G8, and G11 were tolerant genotypes, whereas G1, G2, G5, G6, G7, G9, G10, G12, G13, G14, and G15 were drought-sensitive genotypes.
A study was conducted from June 15 to August 24, 2020 in six terroirs of the regions of Zinder and Maradi. Data collection was carried out by using a survey, which provided information on the use of animal traction, yield of work, the area exploited and the manpower mobilized depending on the type of energy used. Results showed that the yield from manual plowing is 23±4.14 men/days/ha compared to an average of 2 days/ha with animal traction. Farms using animal traction represent 90% of all the farms surveyed. The mean agricultural area of farmers using animal traction (4.35 ± 4.62 ha in Maradi and 8.27 ± 4.34 ha in Zinder) is greater than that of farmers who do not practice it (3.07 ± 1.38 in Maradi and 6.5 ha ± 4.95ha in Zinder). The manpower used in animal traction is 3±1.23 men / days / ha for plowing. The yield of manual groundnut or nutgrass sowing is 14 men/days/ha against 2±0.39 days/ha with animal traction. These results show that with well-trained animals, animal traction has contributed to the improvement of agricultural production in these two regions of Niger.
Land use and land cover (LULC) is the primary determinant in sustainable management of soils. Understanding and quantifying the effect of LULC on the soil erosion process in a high rainfall area will immensely help in controlling as well as reversing degradation. In a gauged watershed, total sediment yield is measured at the outlet. Whereas in an ungagged watershed, there is a need to rely on models for estimating soil erosion. Models are found to be capable of estimating erosion within the watershed based on land use and land cover particularly those physically based models along with Remote Sensing and Geographic Information System (RS & GIS) tools. The objective of this study is to prioritize the critical erosion hazard areas within the micro watershed based on land use/land cover and annual soil loss. Modified Morgan-Morgan-Finney (MMF) model was used to estimate soil loss with the input parameters extracted from satellite image (IRS-LISS-IV) and Automatic Weather Stations for the Nongpoh watershed. The annual average soil erosion by the MMF model was estimated at 55.30 t ha-1 yr-1. The soil erosion was found to be highest in the agriculture- dominated area (79.10 t ha-1 yr-1) followed by scrubland (62.67 t ha-1 yr-1). It shows that the study area came under severe erosion class, whereas agricultural land, open forest area, and scrubland were prioritized as the most erosion-prone areas within the watershed. These findings will help the management committee for making suitable planning and also will aid in implementing this method in the hilly and mountainous regions in the world.