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:
Heavy rainfall is a natural phenomenon that has a significant impact on agriculture. It can cause severe damage to crops and pose a significant risk to agricultural activities. In order to mitigate the risks and minimize the damage caused by heavy rainfall, a risk assessment plan needs to be developed. The plan should include quantitative methods such as cause and effect analysis and risk element identification. Cause and effect analysis is an essential tool for identifying the factors that contribute to the risks associated with heavy rainfall-induced hazards on agriculture. This analysis helps to understand the root causes of the problem and identify the best solutions for mitigating risks. By examining the cause and effect relationships, it is possible to identify the most critical factors that contribute to the risks associated with heavy rainfall. Risk elements are another important aspect of developing a risk assessment plan for heavy rainfall-induced hazards on agriculture. These elements include both natural factors, such as soil type and slope, as well as human factors, such as farming practices and irrigation methods. By identifying these risk elements using ABC risk assessment quantitative method, it is possible to develop strategies for mitigating risks and minimizing damage to crops. Crops are one of the most significant areas of concern when it comes to heavy rainfall-induced hazards on agriculture. Heavy rainfall can cause soil erosion, nutrient loss, and other damages that can reduce crop yields significantly. By developing a risk assessment plan that takes into account the unique characteristics of each crop, it is possible to develop strategies for mitigating risks and minimizing damage. This could include using cover crops or changing planting patterns to reduce soil erosion or modifying irrigation practices to ensure crops receive adequate water without being damaged by floods.
Drought is one of the most important constraint in realizing potential yields in soybean crop. Screening of germplasm lines for drought tolerance is hindered by the lack of rapid, reliable and stable phenotyping technique. In-vitro screening technique in soybean based on seedling survivability and drought score was standardized and the method was employed to screen 70 diverse soybean genotypes for seedling stage drought tolerance. Drought treatment was imposed at third unrolled leaf stage (V3 stage) by exposing seedlings roots to open air on a hydroponics set up under controlled conditions. At the end of screening period the seedlings were scored for seedling survivability percentage and drought score on a 0-4 scale based on seedlings shoot and root traits. The genotypes ‘HIMSO 1587’, ‘SL 46’ and ‘TGX1835-3E’ were identified as highly tolerant under in-vitro screening conditions. The tolerant lines recorded longer root and shoots, higher fresh and dry weights of roots and shoots than the susceptible lines. The contrasting phenotypes were once again screened in two soil culture techniques (seedling recovery and seedling non-recovery) and the results obtained were in compliance with in-vitro screening results. The new method developed is rapid, easy and cost effective in identifying tolerant and susceptible lines effectively at seedling stage and therefore can be utilized in identification of novel drought tolerant lines through screening of large number germplasm lines.
A field experiment was conducted in 2016 and 2017 to study the manipulated crop micro-environment on effective light interception and heat-unit accumulation for improving sali rice production. The trial was comprised of two crop establishments, viz. system of rice intensification (SRI) and conventional rice cultivation (CRC); three transplanting dates (26thJune, 10thJuly, and 25th July) and four crop geometries (20cm x 15cm; 20cm x 20cm; 25cm x 20cm and 25cm x25cm) laid in factorial split-plot with three replications. Results revealed that the SRI crops took lesser days to attain maximum tillering, 50% flowering, and physiological maturity as compared to CRC. In spite of lesser accumulated growing degree-days (GDD), helio-thermal unit (HTU), photo-thermal unit (PTU), and light transmission ratio (LTR); the SRI establishment gave maximum grain yield. The superiority of early crops was observed in effective utilization of solar energy for grain formation. The widely spaced crops showed significantly inferior LTR with increased grain yield. Further, a significantly strong negative association was observed with LTR (-0.82**) during the vegetative phase of SRI crops. The regression model revealed that the vegetative phase of sali rice was the most critical phase in terms of higher radiation interception and dry matter production.
The tomato leafminer, Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) and the serpentine leafminer, Liriomyza trifolii (Burgess) (Diptera: Agromyzidae) are devastating pests of tomato. We study the effect of tomato grown under zero-budget natural farming (ZBNF), organic farming (OF) and conventional farming (CF) systems on the development biology and population growth parameters of these pests. Tomato grown under different farming systems had significant effect on the biological parameters like incubation period, pupal period and fecundity of T. absoluta and L. trifolii. Population growth parameters like gross reproductive rate, net reproductive rate, intrinsic rate of increase, doubling time and finite rate of increase was also calculated. These results showed no significant differences had found on these parameters when T. absoluta and L. trifolii were reared on tomato grown under ZBNF, OF and CF systems. These findings can be useful for developing and improving sustainable management of the pest.
Identification of antigenic similarities in oviductal proteins among cattle, buffalo and goat. Buffalo oviductal proteins were isolated and hyper immune sera was raised in rabbits against buffalo oviductal proteins. Double immuno diffusion (DID) was used to detect homologous protein in the oviductal secretions of cow, buffalo and goat. For detection of immunologically homologous proteins in oviductal proteins enzyme linked immuno electro transfer blot was done. Results of DID indicated identical oviductal proteins among cow, buffalo and goat. At least one oviductal protein (molecular weight of 60 kDa) was similar among cow, buffalo and goat. A 70 kDa protein was observed in goat oviductal proteins, which was absent in cattle and buffalo oviductal fluid. It was inferred that cattle, buffalo and goat share homologous oviductal proteins, indicating the possibility of using oviductal proteins from buffalo to modulate the functions of cattle and goat spermatozoa. However, the functional analysis of the homologus proteins needs to be elucidated.