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
Genetic diversity, yield traits and disease resistance in foxtail millet (Setaria italica L.) germplasm for climate-resilient farming in mid-hills of Uttarakhand
This study aimed to identify promising foxtail millet (Setaria italica L.) germplasm with superior growth vigour, yield attributes, and disease resistance for cultivation in the mid-hills of Uttarakhand, and to select elite lines for breeding purposes. A total of 28 germplasm lines, including a local check (PRK-1), were evaluated during Kharif 2025 under field conditions using a Randomized Block Design with three replications at the B-Block Research Field, Department of Plant Pathology, College of Hill Agriculture, Ranichauri, Tehri Garhwal, under V.C.S.G. Uttarakhand University of Horticulture and Forestry, Bharsar, Uttarakhand. Observations were recorded on important growth and yield traits, and the germplasm was screened against major endemic diseases using standard rating scales. Genetic parameters were estimated to assess variability among the lines. Analysis of genotypic, phenotypic, and environmental variances, along with coefficients of variation, revealed substantial variability among the genotypes, indicating considerable scope for selection. Most traits exhibited high heritability (>75%) coupled with moderate to high genetic advance, except seed yield, 1000-seed weight, and number of tillers. A close association between genotypic and phenotypic coefficients of variation indicated minimal environmental influence on trait expression. Significant morphological and physiological variation was observed among the germplasm, with GP-12, GP-23, and GP-26 showing superior growth vigour and yield performance. Lines GP-6, GP-7, GP-12, GP-23, and PRK-1 exhibited high levels of disease resistance, particularly against leaf blast, leaf blight, sheath blight (<5.67%), and grain smut (<3.3%). These germplasm lines may serve as valuable resources for developing climate-resilient, high-yielding cultivars for the mid-hill regions of Uttarakhand.
Bio-efficacy of some newer insecticides against major insect-pests of soybean
There were total 10 newer insecticides viz., Thiamethoxam 25 % WG, thiamethoxam 75 % SG, Acetamiprid 20% SP, Emmamectin benzoate 5% SG, Chlorantraniliprole 18.5% SC, Thiacloprid 21.7% SC, Propargite 57% EC and Tetraniliprole 18.18% SC including one control with water spray were evaluated for their bio-efficacy against major insect-pests of soybean under field conditions. For whitefly management, Thiamethoxam 25 % WG (1.18 nymph and adult/trifoliate leaf) was found most effective after two insecticidal sprays of different insecticides during 2021 and 2022. For leaf feeding insects of soybean i.e., tobacco caterpiler and semiloopers management, Chlorantraniliprole 18.5% SC (0.14 and 3.04 larva/meter row length, respectively) was found most effective after two insecticidal sprays of different insecticides. For stem fly management, Thiamethoxam 75 % SG (23.78% stem tunneling) was found most effective after two insecticidal sprays of different insecticides. For girdle beetle management, Thiacloprid 21.7% SC (3.98% girdle beetle infestation) was found most effective followed after two insecticidal sprays of different insecticides.
HIGH-DENSITY PLANTING SYSTEM (HDPS) IN COTTON: PRODUCTIVITY, PROFITABILITY, AND ADOPTION GAPS IN MAHABUBABAD DISTRICT, TELANGANA, INDIA
Cotton (Gossypium spp.) is an important commercial fibre crop in India, yet its productivity remains below the global average. The present study assessed the impact of the High Density Planting System (HDPS) on productivity, profitability, and adoption among farmers in Mahabubabad district of Telangana during wet seasons of 2023 and 2024. Demonstrations on HDPS cotton were conducted under farmers’ field conditions and compared with existing practices. HDPS in cotton significantly improved productivity and profitability compared to farmers’ conventional practices in Mahabubabad district of Telangana. The results revealed that HDPS significantly enhanced yield by 30.90% and 35.90% over farmers’ practice during 2023 and 2024, respectively. Economic analysis indicated higher average net returns (₹1,65,512 ha⁻¹) and benefit–cost ratio (1.76) under HDPS compared to farmers’ practice (₹1,02,102 ha⁻¹ and 1.31), demonstrating its economic viability under rainfed conditions. Gap analysis revealed considerable adoption gaps in critical components such as cultivar selection, spacing, sowing time, plant protection, and post-harvest management, highlighting the need for strengthened extension interventions. Notably, 56.64% of farmers exhibited a high level of knowledge, while 49.16% demonstrated high adoption of HDPS practices, indicating the positive impact of demonstrations and capacity-building efforts by Krishi Vigyan Kendras and the Department of Agriculture. The study demonstrates that HDPS is a viable and resource-efficient technology for enhancing cotton productivity and income under rainfed conditions. Strengthening extension services, ensuring timely input availability, and promoting mechanization are essential to improve its wider adoption.
Unmanned Aerial Vehicle in Plant Pathology: A review of sensing technology
Drones, scientifically known as Unmanned Aerial Vehicles (UAVs), are remote sensing platforms designed to operate without a human pilot onboard. They are often associated with general surveillance. While their real power lies in their ability to bridge the gap between coarse satellite imagery and labour-intensive manual scouting. It all comes down to the payload and sensors like standard RGB cameras handle visual mapping and surveillance, while thermal sensors detect heat signatures to identify specific issues. We use multispectral and hyperspectral sensors to collect data from specific light bands for advanced diagnostics. With this hardware, we can look at spectral fingerprints. Plants that are healthy reflect a lot of Near-Infrared (NIR) light. Plants that are stressed by pathogens reflect less NIR and more red light because they have less chlorophyll. By interpreting these signals, we can detect infection hotspots that the naked eye might miss. This directly helps into better management. Instead of pockets applications, we can create zone-based maps for precision fungicide spraying. Validating this diagnostic potential, multispectral sensors could distinctively quantify Sheath Blight severity in rice, offering a precision that outperforms standard RGB imagery. On the operational front, large-scale trials of 625 acres and 250 demonstrations concludes that drones are vastly more efficient in reducing disease and pest incidence by 78% and application time by nearly 80% compared to manual labour. Field demonstrations have further shown that drone application can reduce water usage by 90% compared to conventional methods. We still have problems with battery life and the cost of getting started, though. In the end, combining high-resolution aerial diagnostics and management lets you move from using chemicals by hand to using drones to manage things with precision. This change in plant pathology promises a better future where crops stay healthy with as little harm to the environment and as much use of resources as possible.
Elevated CO₂ and Temperature Alter Leaf Functional Traits and Growth Efficiency of Groundnut (Arachis hypogaea L.): Role of Herbicide Dosage and Crop-Weed Photosynthetic Type
A pot culture experiment was conducted in a Carbon dioxide and Temperature Gradient Chamber (CTGC) at ICAR-CRIDA, Hyderabad, during two consecutive kharif seasons (2022-23 and 2023-24) to study the influence of elevated temperature (eT), elevated CO₂ (eCO₂), herbicide dosages and crop-weed interactions on Specific Leaf Area (SLA), Relative Growth Rate (RGR) and Net Assimilation Rate (NAR) of groundnut (Arachis hypogaea L.) cv. K-6. Elevated temperature (eT) recorded the highest SLA (289.5 cm²/g) but the lowest RGR (0.415 g/g/day), indicating heat-induced leaf expansion concurrent with growth limitation. Elevated CO₂ (eCO₂) alone yielded the lowest SLA (217.8 cm²/g) but a higher RGR (0.468 g/g/day), reflecting more efficient dry matter accumulation per unit leaf area. The combined eT+eCO₂ treatment registered the highest RGR (0.474 g/g/day), confirming that elevated CO₂ partially ameliorated heat-induced growth limitation. Net Assimilation Rate was highest under ambient conditions (9.98 g/m²/day), declining progressively under all elevated treatments. The 1.5X dose of Imazethapyr + Propaquizafop recorded the most favourable RGR (0.483 g/g/day) and late-season NAR (2.01 g/m²/day) without significantly influencing SLA. Among crop-weed combinations, G+C4 recorded the highest SLA (274.8 cm²/g), while G+C3 & C4 exhibited the highest NAR (8.94 g/m²/day). C4 weed species were less competitive than C3 weeds for growth resources, thereby imposing lesser constraint on groundnut growth and carbon assimilation.