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 (2025)
07 Dec 2025 (Vol - 56 , Issue- 12 )
31 Dec 2025 (Vol - 56 , Issue 12 )
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
Stability Analysis for Grain Yield and its Components in Bread Wheat (Triticum aestivum L.)
Genotype × environment interaction and stability parameters were determined for grain yield and its components by planting 52 bread wheat genotypes under normal (E1 and E3) and late sown condition (E2 and E4) during rabi 2019-20 and rabi 2020-21. The pooled analysis of variance for stability revealed that mean squares due to genotypes and environments were found highly significant for all the characters studied when tested against pooled deviation, revealed that significant variations exist among genotypes and environments. G x E interactions were found significant for all the traits studied when tested against pooled deviation, suggested that genotypes interacted significantly in different environments for all the traits studied. For grain yield per plant, genotypes AKAW 4901, K 1317 and UAS 375 recorded higher grain yield per plant and had non-significant regression coefficient as well as deviation from regression, thus, were considered as stable genotypes. Among these three genotypes, AKAW 4901 was also found to be stable for biological yield per plant, also showed stability under favourable condition for number of productive tillers per plant, number of spikelets per main spike, number of grains per main spike and flag leaf area. K 1317 was also found to be stable for 1000 grain weight, also showed stability under favourable environment for number of productive tillers per plant and biological yield per plant, and under unfavourable environment for grain filing period, plant height, spike length, number of spikelets per main spike and number of grains per main spike. UAS 375 was also found to be stable for biological yield per plant, also showed stability under favourable environment for days to 50 per cent heading, and under unfavourable environment for grain filing period, spike length and number of grains per main spike.
Soil Microbial and soil organic matter dynamics with Crop productivity as affected by organic through bio stimulants and Nano fertilizers in Indian mustard under Rice-Mustard Cropping System
A field experiment was conducted 2020 and 2021 during Rabi seasons to determine the effect of various sources of nutrient on yield parameters and yield of Indian mustard and soil health under rice- mustard cropping systems in western U.P. and Pusa Vijay variety were used to perform experiment. The treatments comprised of Control (T1), NPK& S 120:40:40:20 kg ha-1 (T2), 100% NPK& S + Zn 5 kg ha-1 (T3), 100% NPK& S + Bio-stimulants (T4), 100% NPK& S + Nano Zn spray at 40 DAS (T5), 75% NPK& S + NPK Consortia (T6),75% NPK& S + Nano N spray at 40 DAS (T7), 75% NPK& S + Nano N spray at 40 DAS + Nano Zn spray at 40 DAS (T8), 75% NPK& S + NPK Consortia + Nano Zn spray at 40 DAS (T9), 75% NPKS + NPK (18:18:18) 0.5% spray at 40 DAS (T10), 75% NPKS + NPK (18:18:18) 0.5% spray at 40 DAS + Bio stimulants (T11), 75% NPK& S + Zn 5 kg ha-1 + Bio-stimulants + Nano N + Nano Zn spray at 40 DAS (T12).The outcomes of two year data revealed that yield attributes characters like number of branches viz. primary (8.2), secondary (18.2), tertiary(4.65), number of siliquae per plant (280.5), length of siliquae(5.4 cm) number of seed siliqua-1¬¬¬(12.45), weight of 1000 seed(5.0g), weight of siliqua plant-1(45.5 g), weight of seed plant-1(17.95g) maximum recorded in 100% NPK& S + Nano Zn spray at 40 DAS(T5) which was statistically at par with T3,T4 respectively. The maximum seed yield (24.55 q ha-1), stover yield (112.1 q ha-1) and biological yield (136.55 q ha-1) was recorded in T5 which was at par with T3,T4respectively, and harvest index (21.15%) was recorded in T2NPK& S - (120:40:40:20 kg ha-1 ) which was statistically at par with T10 ,T6, and lowest harvest index(17.4%) recorded in T12.The soil microbial population like bacteria(0.76x106cfu g-1) highest count in T12 which was statistically at par with T11 and fungi(0.645x106cfu g-1), actinomycetes(0.595x106cfu g-1) highest count in T4 which was at par with T12 and least count in control plot.
Nano Fertilizer Mediated Approach Nutrient Influence on Nutrient Use Efficiency, Soil Microbial Properties, Crop Productivity, Quality and Profitability of Wheat (Triticum aestivum L.) Under Typic Ustochrepts Soil of Western Uttar Pradesh
Nano-fertilizer plays an important role in improving the fertilizer use efficiency owing to their unique properties like smaller size, high specific surface area; high surface energy and high solubility in the large nutrient requirement staple food crops like wheat (Triticum aestivum L.) to meet the global food security by reducing the drastic hazards of excessive use of fertilizers. This experiment was conducted for two years 2020-21; 2021-22 of Rabi season with the aim of this study was to evaluate the effect of nano-fertilizer mediated nutrients along with the conventional fertilizers and biofertilizers on crop growth and yield of wheat. The treatments assigned in this study are fourteen viz. Control (No fertilizer) T1, 100%RDF (NPK-150:75:60 kg/ha)T2, 100 % NPK + Nano Zn Spray (After I irrigation)T3, 100 % NPK + Bio-stimulant Spray (After I irrigation)T4, 100% NPK + seed treatment with NPK consortiaT5, 100% NPK + seed treatment with AzotobacterT6, 75 % NPK + NPK Consortia @ 250ml in 3 lit water 60 kg-1T7, 75 % NPK + NPK spray @ 15gm per lit (After 1st irrigation)T8, 75 % NPK + NPK Consortia + Nano N spray (After 1st irrigation)T9, 75 % NPK + NPK Consortia + NPK spray (After 1st irrigation )T10,75 % NPK + NPK Consortia + NPK spray (After 1st irrigation) +Bio-stimulant Spray (After 1st irrigation)T11, 75 % NPK + NPK Consortia + NPK spray (After 1st irrigation) + Bio-stimulant Spray (After 1st irrigation) + Nano Zn spray (After 1st irrigation)T12, 75 % NPK + NPK Consortia + Nano Zn spray (After 1st irrigation)T13, 75 % NPK + NPK Consortia +Nano N spray (After 1st irrigation) + Nano Zn spray 1st irrigationT14. The treatment T3 receiving 100 % NPK + Nano Zn Spray (After I irrigation)) was observed significantly higherin yield parameters, quality parameters, nutrient use efficiency, soil microbial properties and profitability of both the years compared to other treatments and which is at par with T12 (75 % NPK + NPK Consortia + NPK spray (After 1st irrigation) + Bio-stimulant Spray (After 1st irrigation) + Nano Zn spray (After 1st irrigation)). T3 recorded44.75, 88.00, 100.8 and 179.80 percent yield, protein content, gross returns and net returns higher than T1 control with no nutrient application and 11.15, 22.44, 11.16 and 12.05 percent yield, protein content, gross returns and net returns higher over T2 only RDF application respectively.
Heterosis and Combining Ability Analysis for yield and its Components in Bread Wheat (Triticum aestivum L.)
The experiment was conducted to the study of combining ability and heterosis over better parent and economic parent (HD-3987) in bread wheat. Hybrids were formed using half diallel (7x7) mating design conducted in Rabi 2017-2018 and 2018-2019 at Research Farm, Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University, Phagwara. The results revealed that non-additive genetic variance played a predominant role in the inheritance of all the traits. The best combinations mostly involved good x poor and poor x poor general combiners for the characters under study. There was very rare case in which good x good general combiners were involved for best combinations. On the basis of gca and sca effects, 3 cross combinations were found specific combiners for higher grain yield/plant and also for various yield contributing traits, respectively. Top 5 crosses were HI-1544 X LOK-1, MP-3173 X HD-2932, MP-1203 X HD-2932, MP-3173 X LOK-1 and MP1203 X MP-4010 on bases per se performance of grain yield/plant.
Agricultural Mechanization for Smallholders Farmers Ensuring a Sustainable rise in Farm Productivity and Income in North West India
Smallholder farmers are the main producers of the world’s food and they will have to increase production by up to 100 percent by 2050 to feed the growing population. The focus is on farm mechanization for increasing productivity through judicious use of other inputs and natural resources and at the same time reducing the cultivation cost. The overall farm mechanization in India has been lower at 40-45 per cent compared to other countries such as USA (95 per cent), Brazil (75 per cent) and China (57 per cent). The challenge is to get sustainable mechanization available to farmers so that the poverty cycle can be broken and improved livelihoods ensue. Indian agriculture is diverse and capable of producing most of the food and horticultural crops of the world. In spite of its top ranking in production of a number of crops including rice, wheat, sugarcane, fruits and vegetables, the stagnancy in productivity and shortage of agricultural produce are two major bottlenecks of Indian agriculture. Several studies suggest a direct correlation between farm mechanization and crop productivity. It saves inputs like seeds and fertilizers by 15–20%, labour requirement and operational time by 20–30%, increases cropping intensity by 5–20% and crop productivity by 10–15%. At present, Indian farmers are adopting farm mechanization at a faster rate in comparison to recent past. Farm power availability from tractors has grown from 0.007 kW/ha in 1960–61 to 1.03 kW/ha in 2013–14 and it is further estimated to reach 3.74 kW/ha by 2032–33. According to the World Bank estimates, half of the total Indian population would be in urban areas by 2050. It is further estimated that the percentage of farm workers of total work force would reduce to 49.9% in 2033 and 25.7% in 2050 from 54.6% in 2011. The share of agricultural workers in total power availability in 1960-61 was about 16.3%, which is going to reduce to 2.3% in 2032–33. The overall level of farm mechanization in the country is only 40–45% and 90% of the total farm power is contributed by mechanical and electrical power sources. The smallholder farm sector demand for mechanization needs to be raised to stimulate the product value chain and activate input supply (that is to raise farm productivity, stimulate value addition, and encourage private sector custom hire service provision). The sustainability of mechanization from a natural resource conservation point of view is discussed with reference to conservation agriculture principles. Mechanization appropriate for the smallholder sector covers the range of possible power sources human, draft animal and motorized. The study indicated that with mechanization, the demand for hired labour increased while participation of family labour in crop production declined. To sum up, agricultural mechanization studies had shown that farm mechanization led to increase in inputs due to higher average cropping intensity, larger area and increased the productivity of farm labour. Furthermore, farm mechanization increased agricultural productivity and profitability on account of timeliness of operations, better quality of work and more efficient utilization of crop inputs.