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
Soil-site suitability assessment for crops forms an important component in land use planning of a watershed. The current study was carried out to evaluate the soil site suitability for major field and horticultural crops in flood prone Moridhal watershed in Dhemaji district of Assam of North East India. The study area was delineated using satellite data of Resourcet-2, LISS-4 in conjunction with Survey of India toposheets (1: 50,000) and, thereby, four physiographic units were delineated which include: upper piedmont plain, lower piedmont plain, alluvial plain and flood plain. Soil samples were collected from the various physiographic units of the study area and soil-site suitability for major field and horticultural crops were determined by comparing different land qualities along with climatic parameters following the criteria outlined by various authors. The study revealed that the soils were permanently unsuitable (N1) to moderately suitable (S2) for sali rice (winter rice), wheat, pea, mustard/rapeseed, sesame, potato, tomato, onion and coconut. The assessment of the soils of Moridhal watershed for soil site suitability divulged various limitations related to soil and climatic parameters. Major constraints identified in the watershed were high acidity, low organic carbon, coarse texture, excessive flooding, impeded drainage and low precipitation in early growth stage during Rabi season. However, some of these limitations related to soil fertility and acidity could be managed by adopting integrated soil fertility management practices. The soil site suitability index values of different crops were employed in a series of logical operations in GIS platform to generate soil-site suitability map. Such GIS based thematic and soil suitability maps could serve as ready reckoner for farmers, administrators and planners for better utilization of agricultural areas.
To study the feasibility of CROPGRO_cotton model in the optimization of cotton irrigation management under different climatic conditions, the empirical values corresponding to 25%, 50% and 75% of the empirical frequencies of precipitation were obtained by ranking the frequency fitness line of precipitation data during 20 years of cotton fertility at the experimental site, and then the years corresponding to three empirical frequencies were selected as typical years: 2015 (abundant water year), 2001 (flat water year), and 2006 (dry water year). By combining cotton fertility stages, irrigation frequency and irrigation amount, 21 irrigation regimes (T1~T21) were identified and simulated using the calibrated DSSAT model for cotton irrigation regimes under the three precipitation year types, and the results showed that under the best combination of irrigation usage, yield and water utilization, 2015 (abundant water year), 2001 (flat water year), and T20 irrigation management should be selected in 2006 (dry water year).Under the three typical years, the effect of temperature change on cotton yield and water utilization was investigated, and it was found that the increase of temperature would reduce cotton yield and water utilization, but a reasonable irrigation management would reduce the negative effect of climate change on cotton yield and water utilization, According to the simulation results under different situations, T20 irrigation management can minimize the yield variation range under temperature change, and has a high water utilization rate, which has good applicability.
The overuse of agrochemicals associated with increased input costs in agriculture has led to the emergence of an alternate method of farming in India known as Natural Farming (NF). NF is considered to be an agro ecology-based environment-friendly diversified farming system, which integrates crops, trees and livestock allowing functional biodiversity. It relies on four pillars- cow dung and urine-based inputs (beejamrit, ghanjeevamrit and jeevamrit), intercropping, mulching and whapasa (limited soil moisture). It encourages use of on-farm inputs and indigenous practices and reduces dependence on off-farm purchased inputs. NF has its roots in the state of Karnataka, and other states like Andhra Pradesh are trying to replicate this model. Mixed results have been reported from different states regarding its effect on the sustainability of agriculture and food security. Therefore, scientific validation of NF on a wide range of crops in diverse agro-climatic regions is required to draw some solid conclusions. Its implications on Indian agriculture in respect of national food security need to be studied as India will need 345 million tonnes (mt) of food grains by 2030 against the current level of 296 mt. This review delineates the growth and scope of NF in India and its effect on soil, plant and animal health.
The advantages of precision land leveling and broad bed furrow (BBF) planting technique have been established in terms of increasing yields, income and water productivity, and saving of irrigation water and resources. To see the impact of these improved technologies, on-farm trials were conducted on precision land leveling and BBF seeding technique of pigeonpea in Morena district of Madhya Pradesh under FFP project during 2017-18 and 2018-19. An on-farm study was conducted under Farmer FIRST Programme at six selected villages in Morena district of Madhya Pradesh state for 2 consecutive years (2017-18 to 2018-2019). The pigeonpea varieties ‘Pusa 992’ and ‘ICPL 88039’ were used in precision land leveling and BBF trial respectively. The technology was demonstrated in an area of 0.4 ha for each farm families and total 30 farm families and 52 farm families were covered under precision land leveling and BBF trial, respectively. The fertilizers (20:60:20 kg NPK/ha) and plant protection were used as per recommendation for the region. The results indicated that 15.1 and 15.7% higher yield of pigeonpea and water productivity increased by 16.67 % and 11.90% in precision land leveling and BBF system, respectively over farmers’ practice. The economics analysis showed that net returns increased by Rs. 16,494 and Rs. 18,077 in precision land leveling and BBF system, respectively as compared to farmer’s practice. This study suggests that precision land leveling and BBF planting of pigeonpea are more productive and profitable in rainfed areas of central India.
An experiment was conducted to screen twenty four different okra genotypes for their susceptibility to E. vittella under field condition Agricultural College Farm, Agricultural College, Bapatla during rabi 2020-21 and rabi 2021-2022. Observations of shoot infestation on twenty four genotypes of okra during rabi 2020-2021 and rabi 2021-2022 varied from 5.81 to 19.72 and 5.84 to 20.36 per cent respectively. Out of twenty four okra genotypes, on the basis of shoot infestation as regards to the level of resistance no genotype was found as resistant, but eleven genotypes i.e., Abelmoschus tetraphyllus var. tetraphyllus (5.65%), 1685 (6.04%), IC-0117024 (6.72%), IC-0112502 (6.96%), IC-0112196 (9.20%), IC-0117331 (10.07%), IC-0117343 (11.16%), IC-0117028 (12.37%), IC-0116967 (12.61%), IC-0601433 (12.89%), IC-0112499 (13.43%), IC-0116966 (14.18%), IC-0022283 (14.75%), IC-0057733 (13.24%) and IC-0601182 (14.67%) were found to be moderately resistant. However twelve genotypes i.e., IC-0042491 (15.31%), IC-0039140 (16.87%), IC-0601411 (16.12%), IC-0117319 (16.78%), A. Anamika (15.68%), IC-0602982 (17.55%), IC-0601181 (18.29%), IC-0039139 (18.72%) and A. Abhay (18.96%) were found as moderately susceptible genotypes.