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.
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 various types of Oak play a significant role in the composition of Algerian forests. Due to their importance and prevalence in most forests, we decided to study the potential presence of both holm oak (Quercus ilex L.) and cork oak (Quercus suber L.) in the semi-arid bioclimatic zone. We analyzed parameters related to germination such as germination rate, speed of germination, radical length, and weight range of the acorns. The holm Oak exhibited better germination and kinetics compared to the cork Oak in terms of speed and radical length. However, we were unable to obtain any results after planting the acorns in the soil, leading us to believe that this species may struggle to adapt to climate change and other new factors.
Understanding the changes in structure and health state of forest vegetation and how it will response to such changes, is an important part of forest analyses. This study was carried out in Boutaleb forest, in order to analyze and to describe the dynamic and biophysical characteristics of Atlas cedar, by calculating the Normalized Difference Vegetation Index and determining the diameter and height parameters of three sample plots. These plots were be in three different type of formation Atlas cedar with holm oak in Ain laaneb station, Atlas cedar in Ghbaret agueni station and Atlas cedar with holm oak and Prickly juniper in Afghan station. We have chosen a superficie of 900m2 for each. Descriptive analyses of height and diameter of the species shows that the Atlas cedar characterized by the highest value. The NDVI values changes in the three sample plots, the highest values were detected in Ain laaneb plot.
Using randomised block design (RBD) and fourteen treatments that were replicated three times, a study was conducted at SKUAST-Jammu's Research Farm in Chatha during the kharif, 2022 to examine the effects of various weed management strategies on yield, economics and weed dynamics under direct seeded basmati rice. The findings showed that among conventional approaches of weed management, mechanical weeding (MW) at 20 and 40 DAS have significantly increased yield attributes such as the number of productive tillers per m2, number of grains per panicle and as a result, increased grain and straw yield (q/ha) but recorded non-significant values for 1000-grain weight (g). Additionally, MW demonstrated the greatest weed control efficiency and noted a considerable decrease in the dry biomass and density of weeds. This treatment also provided highest net returns and B: C ratio. The study found that among leguminous mulches, surface mulching with dhaincha by cutting (SMDC) provides noticeably higher yield attributes, grain and straw yield, net returns and B:C ratio. Furthermore, weed biomass and density were much lower thus, weed control effectiveness was at its highest. In light of the results, the study recommends that in DSR conventional approach i.e. mechanical weeding and herbicide application were more effective for controlling weeds but the alternative eco-friendly approach using leguminous crops and incorporating through cutting can also be the viable option for controlling weed, thereby increasing the productivity and profitability.
The goal of the current study was to use eighty-four genotypes for multivariate analysis in wheat. These genotypes might be divided into eleven clusters based on the degree of genetic difference. Cluster VI, Cluster V, and Cluster III had the largest intra-cluster distances based on maximal diversity, indicating that these genotypes may be easily able to manipulate traits to enhance wheat. Because cluster I had a single genotype cluster, it had the lowest intra-cluster distance (0.00). Between clusters II & V, II & VI, and V & VI, the greatest inter-cluster distance was discovered. Low cluster means for the genotypes KRL-35, KRL-99, and LBRIL-102 showed that these genotypes differ genetically from the other genotypes, especially with regard to yield and attributes associated to yield. As a result, this genotype may be recognized as a reliable and beneficial donor for raising wheat grain production. UP-2938, UP-2903, HPW-368, HPW-360, DBW-328, PBW-821, PBW-752, UP-3043, WH-1270, VL-3021, GW-509, HD-3343, MP-1358, DBW-332, VL-3022, HPW-373, NW-2036 & NW-1076, on the other hand, may result in better heterotic response and recovery of better segregants in the early generations for an increase in wheat yield via these component traits. In terms of cluster mean, cluster distance, and the percentage contribution of each trait, genotypes from clusters II, III, V, VI, VII, and IX would be promising to employ as hybridization programme breeding material.
Climate change is having a significant impact on urban trees in the Northeast region of Algeria. As temperatures rise and precipitation patterns shift, trees are facing new challenges that require careful study and management. One key characteristic of urban trees in the face of climate change is their ability to adapt to changing conditions. Some tree species are more resilient to heat and drought, while others may struggle to survive in a changing climate. Understanding which species are best suited to the local environment is crucial for ensuring the long-term health and survival of urban trees. Another important characteristic is the role of urban trees in mitigating the effects of climate change. Our work aims to show whether the structure of trees is influenced by environmental factors, focusing on the main phenological phases of trees in urban areas. The methodology involves taking dendrometric measurements for different trees and shrubs in five locations where three plots are in urban state and two plots are in two different garden in the Mediterranean urban area, as well as monitoring the main phenological phases for certain species. Statistical analysis of the data showed a significant difference in dendrometric measurements, which varied from one location to another. The health status of the trees also varied from one location to another, illustrating the effect of local conditions on vegetation development. Climate change, particularly the increase in temperatures in January and February and snowfall in March, causes vegetation to behave differently than before.