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
Evaluation of serum Lipid profile, immunity, caecal microbial load and egg sensory attributes of Japanese quails fed with holy basil (Ocimum sanctum Linn) and curry leaves (Murraya koenigii L), either singly or in combination
An experiment was carried out for six weeks using eight weeks old one hundred eighty white feathered laying quails (Coturnix coturnix japonica) to study their production performance, egg quality and egg yolk cholesterol. The experiment was conducted following 2 x 3 factorial CRD wherein two herbs (holy basil and curry leaves) were fed to laying quails each at three dietary levels (0, 1 and 3%) of holy basil and curry leaves of 0, 2.5 and 5% in combination. All the laying quails were distributed randomly into nine dietary treatment groups (T1 to T9) on the basis of similar egg production and body weight. Each treatment has five replications containing four birds/replication. A standard corn-soya meal based basal diet to meet NRC (1994) standard for laying quails was formulated. From the basal diet as maintained above, nine experimental diets (designated as T1 through T9) were formulated by adding desired levels of Holy basil (HB) leave powder and Curry leaves (CL) powder. Birds fed 3% holy and curry leaves at 5% had significantly (P<0.001) reduced liver cholesterol level. Holy basil at 3% level and Curry leaves dietary addition at 5% level had shown significant effect on serum lipid parameters, HA titre and Caecal microbial count. The study revealed that both holy basil and curry leave powder inclusion in the Japanese quail diet have reduced liver cholesterol content, Serum cholesterol level, induce immune response and reduced intestinal pathogenic microbes and improve the beneficial microbial population.
The combined use of in silico and in vitro analysis to assess the antimicrobial potential of plant extracts against Aspergillus niger
Six crude plant extract namely Lantana, Tridax, Coleus, Lemon grass, Neem and Tulsi were screened for antimicrobial activity against Aspergillus niger, a post-harvest pathogen in grapes fruit. Among aqueous and ethanolic extract of plants maximum inhibition of pathogen was observed in ethanolic extracts. Among the ethanolic extracts, maximum inhibitory concentration of 71.33% was shown by Tulsi (Occimum tenuiflorum) at 5000ppm. GC-MS analysis of ethanolic extract of tulsi showed the bioactive compounds present in it. Further molecular docking analysis of obtained bioactive compounds (ligands) from tulsi against StARkin domain of ergo sterol in fungi showed that eugenol, the bioactive compound present in tulsi is having lowest binding energy of -73.23 kcal/mol with that protein. This showed that eugenol present in tulsi may act as a potential drug target against post harvest fungal pathogen and it may increase the self-life of fruits.
Traditional Chinese Medicine Library: Molecular docking and Molecular dynamic simulation studies of compounds targeting Prototheca spp. a microalgal pathogen of zoonotic importance
Protothecosis, a zoonotic algal infection needs to be addressed under the one health principles. Treatment of algal infections has always been a challenge. There is no specific treatment for protothecosis both in humans and animals. Currently the only treatment for humans and food animals are antifungals which is associated with risk of toxicity and emergence of resistance. This study was aimed at identifying compounds for the control of Protothecosis by conducting insilico analysis against sterol 14α-demethylase (CYP51/ERG11), a key enzyme involved in the biosynthesis of ergosterol in Prototheca Spp. Traditional Chinese Medicine (TCM) library present in Drugrep was used for selecting the top hits and the ligands were ranked based on predicted affinity and molecular dynamics (MD) simulations was conducted using GROMACS2021 package for a timescale of 30ns. Based on autodock Vina affinity score/X-Score Binding energy of six compounds from Drugrep, that scored above -9.0 Kcal/mol and did not violate Lipinski’s rule of five criteria were selected: Peimisine, Limonin, Hecogenin, Jervine,((25R)-Spirost-4-ene-3,12-dione), Cyclopamine and Obacunone. The MD results showed that the (25R)-Spirost-4-ene-3,12-dione) had the most stable root mean square deviation (RMSD) when bound to sterol 14α-demethylase. However, the root mean square fluctuation (RMSF) of the protein both in bound and unbound state was similar. Ligands Hecogenin and (25R)-Spirost-4-ene-3,12-dione) that had 3-4 and 1 hydrogen bonds, respectively showed fewer fluctuations as compared to others. These two predicted compounds the (25R)-Spirost-4-ene-3,12-dione) and Hecogenin could possibly be expanded for their potential as drug candidates against Prototheca spp.
In-silico identification and characterization of POS1-like genes in rice
Rice is a staple food crop providing energy for more than fifty percent of the world population. Considering the world population growth rate and declining of arable area of crops, increasing the yield is utmost requisite for the rice breeders. Yield is a quantitative trait influenced by many minor genes. Among the agronomic traits, the rice grain size is the most important factors for yield and quality. It is reported to be controlled by many genes which showed continuous variation. Therefore, identification and characterization of novel genes for grain size would be useful for enhancing the yield and grain quality. Here, a known gene POS1 from Tomatilo plant for fruit size encoding two AP2 domain were used to identify homologous gene(s) in rice genome through in-silico analysis. A total of 87 protein coding genes were identified in rice genome of which eight gene were found to be encoding double AP2 domains which would be useful to understand the role of grain size in rice. Using the full-length gene sequence of these eight genes, SSR markers were developed for genetic mapping and marker assisted breeding in rice breeding programme. There were quit variable number of exon and intron among the homolog genes indicating the diverse role of genes. In Silico analysis of the protein sequences revealed the non-membranous nature and might be played an important role in gene expression and regulation. Therefore, cloning and functional characterization of these genes would facilitates bridging the gap between gene identification and breeding application.
Reasoning Method of Rapid Design System for Rice and Wheat Cleaning Device Based on Petri Net Model
A rapid design system of cleaning device on rice-wheat combine harvester can improve the design efficiency and quality. As the core part of the system, the reasoning mechanism plays an important role in the system. A reasoning method based on Petri net model was proposed in the rapid design system of cleaning device for rice-wheat combine. Based on the rules and models, a reasoning mechanism to design cleaning devices was constructed to express the parameter transfer relationship by means of the CPN Tools which presents description of Petri net model. Combined the Petri net model with the design knowledge of cleaning device, the design parameters are calculated and transferred by CPN Tools in which the reasoning simulation machine run. According to the reasoning results, the parameterized model library of cleaning device is called to obtain the 3D models of cleaning device parts. The existing experimental verified intelligent design virtual simulation and experimental system are used to simulate the working process of cleaning device. The simulation result shows that the loss rate of the cleaning device is about 1.8 %, and the simulation impurity rate is about 0.9 %, which meets the technical requirements stipulated by the state.