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. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Chinese Journal of Evidence-Based Medicine Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Kexue Tongbao/Chinese Science Bulletin Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
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 field experiment conducted during Rabi 2020-21(November 2020 to April 2021) to check the chickpea pod borer infestation in response to various inter and border crops at the research farm of Advanced Centre for Rainfed Agriculture (ACRA), Dhiansar, SKUAST-Jammu. The results revealed significantly lowest population of H. armigera in chickpea + linseed (intercrop) + napier (border crop) (0.27 to 4.67 larvae per meter row length) during 9th to 14th standard week respectively, followed by chickpea + linseed (intercrop) + mustard border crop) compare to sole chickpea. Where lowest pod damage per cent was recorded in chickpea + linseed (intercrop) + napier (border crop) with 11.84 per cent, followed by chickpea + linseed (intercrop) + mustard (border crop) and chickpea + coriander (intercrop) + napier (border crop) with 13.30 and 16.06 per cent damage, respectively. The study concluded that the highest chickpea yield and equivalent yield was calculated in T7 - Chickpea + linseed (intercrop) + mustard (border crop) 539.6 kg/ha and 1311.66 kg/ha respectively, with the highest B:C ratio of 1:5.47.
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.
Millets are known as the oldest nutri-cereals to human being. Millets are attacked both in field and storage conditions by more than a hundred insect pests out of which some are widespread in millet-growing regions. Incidence of the insect pests on millet is region as well as season specific. In Indian subcontinent, insects belonging to lepidoptera, coleopteran, diptera are more significantly abundant in millet growing areas as regular and sporadic pests. Among these, white grub, stem borers, shoot flies and some sucking insects are most significant at different growth stages of the crop. Also, incidences of armyworms, grasshoppers, chinch bugs, leaf beetles, head caterpillars, and head bugs are responsible for significant yield losses. During the rainy season, storage bugs are more common. There is a need for more in-depth research on the incidence and management of major insect pests of millet in relation to climate change. The management strategies vary depending on the agro ecosystem and the pest complex. However, a combination of cultural practices and resistant cultivars has proven effective. In order to minimise the usage of insecticides, which are frequently used in pest endemic areas and during outbreaks, an integrated approach to pest management in millets can be provided with a thorough study on insect pests of millets and reviewing all established management strategies and incorporating the interchange of genetic material and research data.
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.