AMA, Agricultural Mechanization in Asia, Africa and Latin America
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.
WOS Indexed (2026)
30 Jun 2026 (Vol - 57 , Issue- 07 )
31 Jul 2026 (Vol - 57 , Issue 07 )
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
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:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
Unlocking Mustard Yield with Sulphur, Hydrogel and Bio-boosters for higher Profits from Soil to Oil
A field experiment carried out in rabi 2020 at Agronomic Farm, SGT University Gurugram. It estimates the sulphur impact, fungicides, and harmful azotobacter on the mustard production and its impact on yield and yield components. A mustard variety Recommended for Commercial Cultivation (RH-725) is used in the experiment. The experiment was laid out in randomized block design with 9 treatments replicated thrice:T1 {Control (No fertilizer)}, T2 {100% RDF}, T3 {100% RDF+ 40 kg/ha S @ first and third irrigation + Azotobacter seed treatment (84 ml/litre/ 20 kg seed)}, T4{100% 100% RDF + Hydrogel 5 kg/ha+40 kg/ha S @ second and third irrigation + Humic acid (5 ml/l) first, second and third irrigation}, T5 {75% RDF + Humic acid (5 ml/l) @ first, second and third irrigation + 40 kg/ha S @ second and third irrigation}, T6 {75% RDF + Sea weed extract (granule) 25 kg/ha @ first and second irrigation + Sea weed extract spray 5ml/l @ first, second and third irrigation}, T7 {75% RDF + Humic fulvic potassium acid 5 ml/ l @ first, second and third irrigation}, T8 {75% RDF+ Hydrogel @ sowing time 5 kg/ha}, T9 { 75% RDF + 40 kg/ha S @ first and third irrigation + Azotobacter seed treatment The highest plant height (185 centimeters), dry matter accumulation (34.90 grams per plant), siliquae per plant (113.33), test weight (4.66 grams), seed yield (2240 kg/ha), stover yield (7518.33 kg/ha) were observed in T3 which is (100% RDF+ 40 kg/ha S @ first and third irrigation + Azotobacter seed treatment (84ml/litre/20 kg seed)). According to the analysis of economics, T3 yielded higher net return (89, 236 Rs. ha-1) which was the most profitable treatment. According to the study, the use of 100% RDF and application of 40 kg/ha S at first and third irrigation and Azotobacter seed treatment (84 ml/litre/20 kg seed) T3 improved growth parameters, yield and yield attributes and economic return of mustard.
Adoption and Perceived Effectiveness of Traditional Practices to Mitigate Human-Monkey Conflict Situations in Tamil Nadu State, India
Human–monkey conflict is one of the main threats to agricultural farmers owing to the reason that it as monkeys destroy the growing crops such as fruits, vegetables, and grains. Chengalpet district of Tamil Nadu, India was purposefully selected for the study. Farmers who had at least one wildlife conflict incidence in their lifetime were selected for this study on adoption and perceived effectiveness of traditional practices to manage human-monkey conflict situations. The sixty participants were selected using the snow ball sampling and data were collected using semi structured interviews, complemented by free listing techniques, non-specific prompting, and reading back. A total number of seven identified traditional practices were adopted at various levels. Further, fire and smoke (83.3 %) were found to be most effective traditional method followed by sling shots (26.6 %) and fireworks/crackers (5.0 %). Although encouraging, these results require more widespread testing and demonstration to ensure their effectiveness at broader scales.
Impact of nitrogen management on nitrogen-cycling functional genes in the rice rhizosphere across growing seasons
Nitrogen (N) transformation in Vattar (stale seed bed) direct-seeded rice requires an understanding of the key microbial functions that fix, mineralize, and oxidize N; however, how these functions co-vary under field-scale N management across crop stages and seasons remains unclear. We conducted two kharif-season experiments in Vattar (stale seed bed) direct-seeded rice at IARI, New Delhi, testing control (no N), recommended split N (Modified-N), and leaf-color-chart (LCC)-guided N at the vegetative and flowering stages, and quantified gene copies of nifH, ureC, and amoA from ammonia-oxidizing bacteria (AOB) and archaea (AOA) by qPCR. Across both years, functional gene abundance showed strong season × stage × treatment interactions, with higher overall gene copy numbers in the second season. Diazotrophs (nifH) and AOA peaked at flowering under low or demand-synchronized N (LCC), whereas ureolysis (ureC) and AOB were most stimulated by modified-N, especially at flowering, indicating a shift toward nitrification under higher inorganic N. Gene-to-gene associations were largely positive, with the strongest coupling between nifH and AOA, and between AOB and AOA. Principal component analysis (PC1 = 54.6%, PC2 = 34.2%) separated the AOA–nifH axis from the AOB–ureC axis, aligned with seasonal and management-driven clustering. Collectively, these results point to a temporally partitioned N cycle in VDSR soils and suggest that demand-synchronized N (e.g., LCC) supports diazotrophs and archaeal nitrification while tempering ureolysis-nitrification dominance, offering a mechanistic pathway to higher N-use efficiency and reduced environmental losses.
Enhancing quality parameters of sesame and potato through organic and inorganic nutrient management practices in sesame -potato cropping sequence
The current study was conducted at the ICAR - CPRI-RS, Gwalior (M.P.) during the kharif and rabi seasons 2020-21 and 2021-22 on the quality parameters of sesame and potato crops in sesame – potato sequence as influenced by organic nutrient management. The experiment was designed having seven treatments in the Randomized Block Design (RBD) with four replications. The organic treatment comprised of crop residue @ 25 t ha-1 with bio-fertilizer (Azotobacter and PSB), FYM @25 t ha-1, vermicompost @7.5 t ha-1, neem cake @ 5 t ha-1 in different treatments including control, 100% RDF and INM (RDF+FYM). The result revealed that among all the organic manures, RDF and integrated treatments, oil content was non-significant but effect on protein content, protein and oil yields were found significant during both the years. Treatment T7 (100% RDF + FYM @ 25 tha-1) showed best results in quality parameters i.e., oil yield (454 and 427 kg ha-1), protein content (19.1 and 18.8%) and protein yield(180 and 163 kg ha-1)as compare to other treatments in sesame crop during 2020-21 and 2021-22. Application of 100% RDF NPK (inorganic practices) gave higher oil content (48.5 and 49.4%) during 2020-21 and 2021-22. Application of 100% RDF + FYM @ 25 t ha-1recorded higher starch content (14.17 and 14.01%), starch yield (1199.4 and 1257.4 kg ha-1) and protein yield (670.1 and 726.6 kg ha-1) but crop residue @ 25 t ha-1 + bio-fertilizer (Azotobacter + PSB, @ 1 l ha-1each respectively) procured the highest protein content (8.32 and 8.26%) in potato during both the years and other quality parameters i.e., tuber dry matter content, water % and true density % which were observed non-significant during both the years in potato crop.
Assessment of Major Sources of Greenhouse Gas Emissions in Livestock Farming Systems Using Life Cycle Assessment Methodology
The present study employs the Life Cycle Assessment (LCA) methodology to evaluate the environmental impacts associated with greenhouse gas (GHG) emissions and emission intensity (Ei) from milk production, considering a system boundary extending from “cradle to farm gate.” The research was undertaken to estimate the percentage contribution of various farm activities namely enteric fermentation, fertilizer application, electricity and diesel use, and dung management to the total global warming potential (GWP) across crossbred cattle farms in eight districts of Haryana. The farms were categorized into three production levels: low, medium, and high. Results identified enteric fermentation as the principal hotspot of GHG emissions, followed by emissions arising from fertilizer use and electricity consumption. No significant differences were observed in enteric emissions among the three production groups. However, statistically significant variations were found in the emission percentages attributable to fertilizer, electricity, diesel, and dung management. The findings underscore the need for targeted mitigation strategies to enhance the environmental sustainability of milk production systems in the region.