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 Kongzhi yu Juece/Control and Decision 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) Tobacco Science and Technology
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:
The present experiment was conducted at Research farm of Rajasthan Agricultural Research Institute, Sri Karan Narendra Agriculture University, Durgapura, Jobner, Rajasthan during Rabi season 2016-17 and 2017-18 using double split plot design with three replications consisting thirty-six treatment combinations, namely, main plots: irrigation levels (0.6 Etc, 0.8 Etc, 1.0 ETc and 1.2 ETc), sub plots: varieties (Raj 4120, Raj 4079 and Raj 4238) and sub-sub plots: Dates of sowing (15th Nov., 30th Nov. and 15th Dec.) treatments. The Results revealed that Info Crop model was calibrated and validated with experimental data of three wheat cultivars (Raj 4120, Raj 4079 and Raj 4238) under different dates of sowing and irrigation scheduling. The model performance was evaluated using average error (Bias), root mean square error (RMSE) Normalized RMSE (nRMSE) and index of agreement (d) and it was observed that there is a good agreement between simulated and measured durations. Based on these results it can be concluded that the model was very accurate in predicting the growth parameters like leaf area index, biomass production and yield and captured the temporal patterns of yield variability reasonably well when compared to observed field data with good accuracy (error % between10-20). It is concluded that the Info Crop model is suitable option to predict wheat yield under semi-arid conditions of Rajasthan.
Horticulture is a vibrant sector of agriculture, distinguished by scale of production, commercialization and emerged as an important source of earning livelihood for small and marginal scale farmers. The knowledge about the impact of climate change on horticultural crops is limited and increasing temperatures and changing weather conditions have harmed apple production, causing serious concern in the state, further forcing apple farmers to switch towards other crops. Therefore, the present study was conducted in high hills of Himachal Pradesh to assess the economic impact of changing climatic scenario on apple cultivation. The study found that the net revenue from apple cultivation was Rs 1.73 lakh, with 11.53 per cent variation in the study area. The results of the ricardian approach reported that the positive quadratic coefficient for minimum temperature and annual rainfall implied that either more or less both climatic variables will increase the net revenue from apple. On the other hand, the negative quadratic coefficient of maximum temperature indicated that there is an optimal maximum temperature level after which net revenue decreases in both directions. Minimum temperature and annual rainfall increased net revenue by Rs 728.56 and Rs 520.08 per 10Celsius increase in minimum temperature and 1 cm increase in annual rainfall, respectively, whereas maximum temperature decreased net revenue by Rs 925.86 per 10Celsius increase in maximum temperature for apple in high hills of Himachal Pradesh.
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.
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 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.