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
In order to solve the problems of low utilization rate of straw round baler microbial inoculum and uneven spraying of microbial inoculum, a straw round baler microbial inoculum spraying control system based on feed quantity feedback was designed. According to the working principle and control characteristics of the self-propelled round baler, the design of the microbial inoculum spraying device, the design and selection of key components, the software design and the construction of the control system were carried out. In order to obtain the relevant parameters of the control system and test the effectiveness and stability of the control system, bench test and field tests were conducted. The relationship between PWM duty cycle and dynamic flow rate of nozzle spraying was obtained in the bench test, which provides the basis for intelligent control of microbial inoculum spraying. The field test showed that the total microbial inoculum spraying volume and auxiliary circuit microbial inoculum spraying volume were changed accordingly with the change of feed quantity. This control system can meet the design requirements, and can be adjusted according to the change of feed quantity, which can effectively improve the utilization rate of microbial inoculum.
The present investigation was undertaken to obtain information on theextent of heterosis and to identify potential parental lines and cross combinations for genetic improvement in brinjal usingdiallel excluding reciprocal. The crosses PB-6 x PB-101 and BARI x PusaUpkar showed highest economic heterosis for yield attributing traits, can be utilized for commercial exploitation of heterosis for obtaining maximum yield. It can also be concluded that for total yield per plant (Kg) SMB-115, Pant Rituraj (PR) and PB-101 were established as good general combiners and yield per hectare (q). Hence, the parents can be utilized for further investigation and genotypes improvement in respective traits of brinjal. The crosses PB-6 x PB-101, BARI x Pant Samrat and BARI x PusaUpkar highest sca effect for most the characters. However, these cross combinations can be utilized as commercially exploited to higher yield. Wild relatives of eggplant are commonly exploited for eggplant improvement, but the genetic improvement relies on the information of the genetic basis of inheritance of traits.
Thirty basmati and non basmati rice genotypes were evaluated for GxE interaction and stability performance under transplanted rice production systems at RRS, Kaul, CCS HAU, Hisar, (Haryana) during Kharif season. The experiment carried out 30 genotype using Randomized Complete Block Design with three replications. Micro-environments were created by using different dates of sowing. GxE interaction and stability of genotypes for days to 50% flowering, days to maturity, plant height, panicle length, number of tillers per plant, harvest index, number of grains per panicle, biological yield per plant and grain yield per plant were analyzed by Eberhart and Russell’s method. The genotypes, environments and genotype × environment interaction components showed significant differences for most of the traits when tested against pooled deviation revealed that the selected genotypes are rich in variation and environments were different from each other and wide differential response of genotypes in changing environments. The genotype main effects, environment (linear) and the E+GxE (linear) interaction were all highly significant. Pusa basmati 1 obtained as a stable genotype for number of grains per panicle and genotypes such as HKR 12-2, HKR 11-87, HKR 07-147, HKR 11-79, IR 91648-B-59-B-1-1, IR 91648-B-2-38-B-1-2, HKR 47and HKR 48, were found suitable for grain yield for favourable environments.
The present investigation was carried out in 2019-20 with an aim to assess the fertility status of the head and middle end of minor lift canal command area (602.405 ha), prepare soil fertility maps using Geo-statistical tools and evaluate the spatial variability of different soil parameters. The georeferenced soil samples (211) were collected and analysed adopting standard protocols. Out of total 211 samples about 53% samples (maximum) felled in neutral category and 45% in slightly alkaline pH range. All the samples were having EC <1.0 dSm-1 (non-saline). Maximum samples 83.89% and 99.53% belonged to low category for OC and available N. The spatial distribution of available P in study area revealed that 44.55% samples were found in the medium range followed by 54.03% in the low category. In case of available K maximum (55.45%) samples belonged to high category, followed by (44.54%) samples of medium category. The pH was negatively correlated (-0.153*) with soils available P at the 5% level of significance. The EC values of soil samples showed positive significant correlation with available N (0.225**) and OC (0.215**) at the 1% level of significance. Organic carbon values of soil samples were highly correlated with soil available N (0.550**) and available K (0.212**). GIS based thematic map of soil reaction (pH) showed that 474.245 ha (78.70%) and 117.865 ha (19.60%) area belonged to neutral and slightly alkaline pH category. GIS based thematic map of soil EC showed all the soils of the study area was non-saline. Predicted area of different classes in GIS based thematic map of soil OC and available N showed that maximum 541.7675 ha (90.00%) and 589.460 ha (97.90%) area was recorded in the low category. For available P maximum 312.255 ha (51.80%) area was recorded in the medium category followed by 290.150 ha (48.20%) in the low category. For available K maximum 569.8725 ha (94.60%) area was recorded in the medium category. GIS based interpolated, thematic maps of studied parameters helped in knowing the extent of area in each and every category or classes of fertility, which was not possible with the help of point data. This study will help in guiding for development of resource based land use plan for maintaining the sustainability in soil and crop.
To examine the major factors contributing to high growth performance of Rapeseed and Mustard in Rajasthan. The time series data on area, production, productivity and farm harvest prices of rapeseed - mustard grown in Rajasthan were collected and compiled. The data were separated into two decadal periods i.e. Period I (1997-98 to 2007-08), Period II (2008-09 to 2017-18), and Overall Period (1997-98 to 2017-18). Descriptive statistics like CV and CGR have been used to analyze the data. In order to decompose whole transform in the value of production), price effect was also calculated. There was a significant increase in productivity of rapeseed & mustard in the state. The rapeseed & mustard crop recorded highly significant growth in farm harvest price. The yield effect was the most powerful factor in the change of value of production of selected crop during study period in the state. Area under study crop had contributed negative effect towards the value of it and it was the highest negative effect (-715.57%) during overall study period. It may also be noted that the price effect was the powerful force which accounted for more than 70 per cent increase in value of production during period II and 199.40 per cent in overall period. Yield and prices of rapeseed & mustard crop contributed highest increase in value of this crop during the study period. Therefore, in addition to farm harvest prices, productivity of the rapeseed & mustard has also greater bearing on the income of the farmer.