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: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
The field efficacy of chosen insecticides was studied during two consecutive years showed that chlorantraniliprole 18.5 SC was incredibly effective insecticide in managing the population of diamond back moth, Plutella xylostella Linnaeus on cabbage, Brassica oleracea var. capitata and significantly differed with spinosad 2.5 SC. Residue analysis of chlorantraniliprole 18.5 SC was estimated at recommended and doubles the recommended dose on cabbage crop to study its dissipation behaviour. The average initial residues of chlorantraniliprole 18.5 SC was varied from 0.379 to 0.021 mg kg -1 and dissipated 80.21 % after 5th day of application at recommended dose and 0.828 to 0.053 mg kg-1 with 93.59 % dissipation after 10th day of application at double the recommended dose, respectively. The half-life values at recommended and double the recommended dose were 1.05 and 1.41 days, respectively. At 10th and 15th day residues of chlorantraniliprole were below limit of quantification (0.01mg kg-1) after application and below maximum residue limit (0.03 mg kg-1) at 7th and 15th day at recommended and double the recommended dose, respectively.
Proteases are one of most important and abundant enzymes produced by the biotechnology industry, for scientific, physiological and industrial application and dominates the whole enzyme market. Lactobacillus plantarum IIA-1A5 is an Indonesian lactic acid bacteria (LAB) isolated from beef Crossbreed of Ongole cattle. Preliminary analysis on its whole genome sequence indicated that this strain harbours some genes involved in protein degradation and might be promising to be further applied. This study aimed to study the proteolityc characteristic of the crude recombinant protease Lon-Like IIA-1A5. The result showed that crude Lon-like-IIA-1A5 was successfully expressed in a host cell induced with 1 mM IPTG at 37ºC. IPTG induction in culture was carried out at the 3rd hour of incubation with an OD600 of 0.67. Afterwards E. coli started to produce protein which was indicated by a decrease in the growth of e coli until the 5th hour after induction or until the cells were harvested compared to cultures without induction. The Proteolytic characteristic of crude recombinant Lon-Like IIA-1A5 protease was optimal at pH 9 and a temperature of 60 oC. Crude Lon-Like IIA-1A5 recombinant protease activity was increased in toluene, N-hexane, and chloroform solvents and inhibited in acetonitrile and methanol solvents as well as Cu2+, and Zn2+ ions. Crude recombinant Lon-Like IIA-1A5 protease degraded both myofibril protein and gelatin was statistically higher (P<0.05) than casein protein, skim milk, collagen and sarcoplasmic protein, while the ability of this protein to degrade casein protein, skim milk and bovine serum albumin was not different (P>0.05).
Present study was conducted to investigate the growth, instability and decomposition analysis in area, production, and productivity of major seed spice crops in Rajasthan. This study was entirely based on secondary data and the study period was divided into three sub-periods: pre-Agri Export Zone Period (1991-92 to 2004-05), post-Agri Export Zone Period (2005-06 to 2019-20), and overall period (1991-92 to 2019-20). The data was analysed using the compound annual growth rate, Cuddy-Della Valle instability index and decomposition models to accomplish the objectives of the study. The results of study indicated that highest growth rates were seen in the production of fenugreek (7.53%), cumin (18.66%), and fennel (11.15%) during the pre-AEZ, post-AEZ, and overall periods. The highest instability were found in fennel production in Rajasthan, with 49.73, 65.51, and 73.76 percent, respectively. The interaction effect was the driving force behind increased output in the coriander, cumin, fennel, and fenugreek crops in pre-AEZ and post-AEZ periods, whereas the yield effect was dominant for overall period.
Epidemiological studies conducted during rabi season of 2018-20 to study the progression of early blight of potato in relation to weather parameters such as, maximum temperature, minimum temperature, maximum relative humidity, minimum relative humidity and rainfall. The initial infection of early blight occurred during 51th Standard Meteorological Week (SMW), with maximum infection rate of 0.094 during 2nd SMW. Maximum and minimum temperatures had significantly positive correlation with the intensity of early blight, whereas, minimum relative humidity had significantly negative correlation. Stepwise multiple linear regression equations revealed that maximum temperature, maximum and minimum relative humidity was responsible for 97.08 contribute for early blight of potato.
Epidemiological studies conducted during rabi 2018-20 revealed that weather parameters viz., maximum temperature, minimum temperature, maximum relative humidity, minimum relative humidity and rainfall were responsible for the development of late blight of potato. The primary infection of the disease initiated at 50th Standard Meteorological Week (SMW) with maximum infection rate of 0.108 on 3rd SMW. Correlation analysis showed that maximum temperature had significantly positive correlation with the intensity of late blight of potato, whereas, minimum relative humidity had significantly negative correlation. Stepwise multiple linear regression equations for two years (2018-20), revealed that the maximum temperature, maximum and minimum relative humidity and rainfall were responsible for 95.93 contribute in the disease.