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)
27 Nov 2025 (Vol - 56 , Issue- 11 )
30 Nov 2025 (Vol - 56 , Issue 11 )
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 GENETIC DIVERSITY IN LINSEED GENOTYPES USING AGRO-MORPHOLOGICAL TRAITS AND MICROSATELLITE MARKERS
Linseed is an important Rabi season oilseed crop next to rapeseed and mustard in terms of area and production. During the last two decades, flax has attracted great attention to human health mostly because of its desirable fatty acid composition. Genetic variability is crucial in the breeding or selection program of any crop. The success of any genetic program lies in exploiting genetic variability. Diversity analysis of flax is an important component for efficient management and utilization of its genetic resources, and proper handling of the seed certification programs. The present research work the linseed genotypes and understanding its diversity on both morphological and molecular levels and understanding the properties of the linseed. Based on divergence analysis, the genotypes viz., SLS 108, PKDL-167, SLS 111, JLS 67, SLS 123, SLS 118 and TL142 were identified as promising genotypes indicating vast genetic divergence regarding cluster means, intra and inter-cluster distance and per se performances. At the molecular level, twelve SSR markers were found polymorphic. The polymorphic information content (PIC) values were ranged between 0.0555 to 0.6732 with an average PIC value of 0.4020 per primer. This depicted that there is considerable genetic variability amongst the genotypes used in the molecular study and also, this was similar to the results of D2 analysis done based on quantitative data. Unique allele was found for marker Lu-1, Lu-4, Lu-7 and Lu-8 in genotypes JLS-9, PKDL-167, SLS-16 and SLS-115 and the size was about 90 bp, 800 bp, 170 bp and 220 bp, respectively. These markers can be used for selective amplification and identification of the above specific trait/genotypes.
Phytotherapy study of medicinal plants used in the Northern region of the Wilaya of Setif (Ain EL Kebira)
This research adds to our understanding of the therapeutic plants that are employed in conventional phytotherapy. The 250 persons that were questioned were included in the questionnaire that we used to do this. Many people have questions about us, especially in relation to the use of medicinal plants. This poll suggests that 63.33% of respondents take conventional medications. This finding demonstrates the value of medicinal herbs in the field of modern medicine. The collected data allowed for the identification of sixty-three medicinal plants, grouped into thirty-two families (the most common being Lamiaceae), three of which are dominant: Apiaceae, Lamiaceae, and Asteraceae. The leaves and the entire plant are the portions that are used the most. Most popular techniques are infusion and decoction.
The monitoring of vegetation dynamics within the Boutaleb mountains (Algeria) using remote sensing and GIS
In the current work, we explore the use of remote sensing and GIS techniques, specifically focusing on the Normalized Difference Vegetation Index (NDVI) to monitor the vegetation dynamics. By integrating satellite imagery and GIS, NDVI provides valuable insights into vegetation health and vigor. This study highlights the process of acquiring, pre-processing, and analyzing satellite images to derive NDVI values. The method used in our investigation offers a robust and efficient technique to assess the vegetation changes among Boutaleb Mountains. The superposition of the NDVI’ layers allowed us to estimate the regression of the vegetation cover between 2010 and 2020, which up to 3226 ha for the dense and sparse vegetation. The significant regression of the vegetation cover over the study period obliges the concerned administration to put in place a management and conservation plans for the natural heritage of the Boutaleb Mountains.
Analysis of Bacterial Contamination in Goat Leather Containers for Water Storage
The objective of this study is to assess goat leather containers by identifying the microorganisms they harbor and their impact on the microbiological quality of stored water, as well as to determine the maximum safe storage duration. Bacteriological analyses began with the collection of samples from the internal epithelium of two types of containers: recent (new) and old (used), both before and after filling with treated tap water. We searched for total coliforms, Escherichia coli, Pseudomonas aeruginosa, enterococci, and sulphite-reducing Clostridia at intervals of 1 hour, 2 hours, 1 day, 2 days, and up to 7 days. The analyses showed a total absence of microorganisms in the recent container, while enterococci and Pseudomonas were detected in the old container. The main results reveal the total absence of germs in the water from the control container, whereas the water from the old container showed the presence of germs from the first hours. In contrast, in the recent container, the appearance of germs was noted only after 24 hours. These results suggest that water conservation in a recent container is generally more satisfactory than in an old container, due to less external contamination. Therefore, it is recommended to regularly renew stored water, maintain optimal storage conditions, and ensure rigorous hygiene of the container.
Ethnobotanical Survey of Medicinal Plants Used by Local Herbalists for the Treatment of Cancer in Setif (north-east Algeria)
Cancer is a major health problem and the second leading cause of death in the world. Medicinal plants as alternative medicine thus become the choice of treatment given their therapeutic properties, including in Algeria, where plant based traditional medicine is frequently used to treat several cancers. An Ethnobotanical survey was conducted to identify the most prescribed plants for the treatment of cancer by local herbalists in Setif (north-east Algeria. fifty-two Algerian herbalists were interviewed during period of March/April 2023, herbalists were interviewed using semi-structured questionnaires investigating the herbalist. frequency of citation (FC), frequency of citation relative (FRC) and importance family (FIV) were implemented as quantitative methods to demonstrate the relative importance of a chosen species for the treatment of cancer. 58 medicinal plants belonging to 37 botanical families were used to treat cancer. Basing on the frequency of citation (FC), frequency of citation relative (FRC) and importance family (FIV) the most used medicinal plants for cancer treatment are Ephedra alata (FC :34; RFC =0,653), Aristolochia longa (FC: 32; FRC= 0,615), Berberis vulgaris (FC :26; FRC= 0,5), Nigella sativa (FC :20; FRC=0,384), Saussurea costus (FC: 14; FRC= 0,269). The most importance family cited by informants were Ephedraceae (FIV=0.653), Aristolochiaceae (FIV=0.615), Berberidaceae (FIV=0.5), Ranunculaceae (FIV=0.384), Costaceae (FIV=0.173), Annonaceae (FIV=0.153), Moringaceae (FIV = 0.134), followed by: Asphodelaceae (FIV = 0.096), Apiaceae (FIV = 0.086), Amaranthaceae (FIV = 0.076), Rosaceae (FIV = 0.072), Asteraceae (FIV = 0.065), Zingiberaceae (FIV = 0.052). In addition, leaves of these plants which are used (29.31 %) in the powder form (48.28 %) for the treatment of Cancer.Our findings are relevant to document the traditional uses of numerous natural products and to provide background basis to search for novel compounds for cancer therapy. However, the medicinal species with a high FRC could be promising candidates for identifying new bioactive molecules.