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 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)
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:
A survey was carried out to study the correlation between available soil nutrients with growth, flowering and physico-chemical characteristics of 110 aonla fruit orchards of Akhnoor, Raya and Purmandal areas of Jammu subtropics during 2016 and 2017. The soil nutrients status in these aonla orchards varied from 79 to 536.50 kg/ha nitrogen (N), 4.65 to 17.57 kg/ha phosphorus (P), 36.65 to 235.95 kg/ha potassium (K), 6.3 to 13.81 mg/kg sulphur (S), 0.31 to 7.18 mg/kg zinc (Zn), 1.37 to 16.76 mg/kg iron (Fe), 0.34 to 4.8 mg/kg copper (Cu) and 0.11 to 2.94 mg/kg manganese (Mn). The relationship between tree height, tree spread and tree volume with soil N, P, K, Zn, Cu and Mn were found to be positive and significant. A negative but significant relationships of soil N was found with duration of flowering while as the total numbers of flowers and male flowers had highly significant correlation with N, P, Zn, Cu and Mn. The relationship of soil N, P, Cu and Mn were found to be highly significant with fruit weight, length, diameter, volume, pulp weight, dry weight of pulp, stone weight and pulp: stone ratio, while as negative significant correlation of specific gravity with P, Fe and Cu. Soil N, P, K, Mg, Zn, Fe, Cu and Mn exhibited positive and significant relationship with TSS, TSS: acid ratio, total sugar, reducing sugar, ash content, pH, protein, polyphenols and starch.
A field experiment was conducted at Instructional-cum-Research Farm of Assam Agricultural University, Jorhat, Assam, India during kharif season of 2018 and 2019 to study the effects of organic nutrient management on growth, yield attributes, yield and quality of aromatic rice varieties. The variation in the growth, yield attributes and yield among the aromatic rice varieties was found significant and the highest grain yield was recorded in Keteki joha which was found to be statistically at par with Chakhao poireiton. Among the organic nutrient management treatments, application of vermicompost @ 30 kg N/ha+ in situ green manuring with Sesbania aculeate+seedling root dip treatment with Azospirillium and phosphorus solubilizing bacteria (PSB) @ 3.5 kg /ha each (N3) produced the highest number of panicles /m2, longest and heaviest panicle and the highest grain and straw yield during both the years. The quality profile in terms of crude protein content and content of Fe, Zn, Mn were influenced by the organic nutrient management and found highest with the N3 treatment. The aromatic rice varieties showed significant variations in their quality parameters. The cultivar Kola joha was found superior in respect of Fe, Zn and Mn content whereas Keteki joha was found superior in respect of crude protein, Ca and Mg content, head rice recovery percentage and length and breadth ratio over others. The lowest amylose content (6.23%) was recorded in case of Chakhao poireiton.
Major insect pests and their natural enemies, prevalent in field pea crop of Jammu and Kashmir sub tropical Kandi areas were recorded. This shall help in targeting the major insect pests at the right time/stage for applying appropriate protection measures. Experiments were conducted to record the pest and their natural enemies’ population fluctuation, at different phenophases of the crop. Eleven different pea varieties were sown in randomized block design, replicated thrice in a plot size of 3 x 4 m2, maintaining a plant to plant distance of 5-6 cm and row to row distance of 30 cm. Leaf miner and aphids were found to be the two major insect pests of pea in this region and the predator ladybird beetle, and parasitoid quite effectively kept the aphid population under check. Pea leaf miner infestation started with the 45 days old crop and its infestation varied among the different varieties. Lowest leaf miner infestation was recorded in US-10, which was at par with the variety Sweet pearl and MGS-10. However, significantly highest leaf miner infestation was in popular varieties Green Valley, Rachna and Prakash. Significantly highest per cent parasitization was recorded in GS-10 variety which was at par with KIWI-101, Prakash and Green Valley. However, per cent parasitization by aphid parasitoid ranged from 44.50 - 56.20 per cent during Rabi 2016-17 and 46.50 - 52.40 per cent during Rabi 2017-18 irrespective of the different varieties. Significantly superior predator counts were also observed in US-10, Varun Dhara, Rachna, DS-10 and MGS-10. Management strategies for leaf miner should preferably be started, when the crop is 45 - 50 days old as irrespective of the varieties, the leaf miner population started appearing after 35 - 40 days of sowing and reached its peak during 45 - 50 DAS. Fifty per cent of the aphid population is kept under check by its predator and parasitoid. Management strategies should be therefore modified accordingly, so as to cause least harm to the natural enemy population.
A laboratory study was conducted during 2020-21 in the laboratory of the Department of Entomology, Institute of Agricultural Sciences, SOADU, Bhubaneswar, Odisha, to identify plant powders which may prove effective against rice weevil, via; Azadirachta indica (A. Juss.) seeds and leaves, Pongamia pinnata (Linnaeus), Calotropis procera (Aiton), Annona reticulata (Linnaeus), Lantana camara (Linnaeus), Vitex negundo (Linnaeus) leaves, Capsicum annum (Linnaeus) dried fruits and Curcuma longa (Linnaeus) rhizome at 5% and 10% concentration. This study revealed that the pest could oviposit 3.55 to 24.52 eggs in different treatments. Lowest oviposition (8.06 and 3.55) was there in Neem Seed Kernel (NSK) Powder treatment. Chili powder and Calotropis leaf powder were also effective in reducing egg deposition. The egg to adult period was maximum in NSK Powder (34.5 and 41.3 days) and minimum in Lantana leaf powder recording 24.52 and 19.68 days. Adult emergence% was maximum in Lantana leaf powder (41.94 and 37.12) and minimum in NSK Powder (6.12 and 2.40). Longevity of males was found to be the highest in Lantana leaf powder (21.7 and 16.5 days) and lowest in NSK Powder (2.2 and 1.6 days). Same trend was also found in case of females with 22.2 and 18.9 days in Lantana leaf powder and 2.6 and 2.0 days in case of NSK Powder. Mortality was observed to be the most in NSK Powder ranging between 97.24 and 99.70% and minimum in case of Lantana leaf powder ranging between 23.87 and 46.57%, all at 5% and 10% concentration, respectively.
Moringa oleifera (M. Oleifera) is a storehouse of essential nutrients like protein, fibre, vitamins, minerals, and phytochemicals. The moringa leaves can be consumed in cooked form or supplemented as a fine powder in processed food products. The conventional drying process takes more time and energy and that will affect the organoleptic property, product quality and safety. Hence, the study aims to apply advanced techniques like heat pump-assisted dehumidified air drying (HPD), running effectively and efficiently to achieve higher retention of nutritional properties. To develop a predictive model Artificial Neural Network (ANN) was chosen as a tool for drying at temperature and drying time varied at three levels. For this, The output variables of crude protein (%), crude fibre (%), and colour values (L*, a* and b*) as an input of drying temperature (45 to 65 °C) and drying time (45 to 75 minutes). Physicochemical and drying characteristics of moringa leaf were highly found at 55⁰C with special reference to maximum powder recovery, excellent flowability and better retention of nutrients like crude protein (29.64 %) and crude fibre (16.37 %). The values of coefficient of determination (R2 - 0.969 to 0.998), Root mean square error (RMSE - 0.02685 to 0.13541), Mean Absolute Error (MAE - 0.00912 to 0.0946) and Mean Absolute Percentage Error (MAPE - 0.04768 to 0.34129) were used to determine the potential and sensitivity analysis of training function and hidden layer for each response variable for their prediction with the highest accuracy.