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WOS Indexed (2023)
AMA, Agricultural Mechanization in Asia, Africa and Latin America
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
09 Dec 2023 (Vol - 54 , Issue- 12 )
31 Dec 2023 (Vol - 54 , Issue 12 )
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
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:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
Correlation and Path Coefficient Analysis for Yield and Its Contributing Traits and other biochemical traits in Desi Cotton (Gossypium arboretum L.) Grown in Different Environment
The present study comprised of thirty Gossypium arboreum genotypes grown in two locations during the kharif seasons in the year 2016 and 2017 in a randomized block design (RBD) at CCS Haryana Agricultural University, Hisar and cotton research station, Sirsa, CCS Haryana Agricultural University. The observations on five randomly selected plants from each replication in each environment were recorded for morphological traits. Pooled mean data of four environments was subjected to examine variability parameters, such as coefficient of variation, association among seed cotton yield and component traits. Seed cotton yield per plant showed highly significant positive correlation with lint yield per plant, number of bolls per plant, boll weight, seed index, number of seeds per boll, number of monopods per plant, plant height, days to boll bursting and days to first flower. The path-coefficient analysis suggested the importance of lint yield per plant, number of bolls per plant, seed index, boll weight and plant height as they exhibited positive direct effects on seed cotton yield.
EPIDEMIOLOGY OF BACTERIAL LEAF BLIGHT OF RICE: REVIEW
The bacterial leaf blight caused by Xanthomonas oryzae pv. oryzae is the most devastating disease that prevalent in all the rice growing areas of the world. The pathogen produced small water-soaked lesions, which later turn to yellowish white colour, elongated circular to quite uneven lesions. The most important factors for disease development are temperature, relative humidity, rainfall, sunshine hours and number of rainy days. Flooding and water logging conditions, not only cause wounds that hasten up infection and enhance severity of the BLB but also aid in the dissemination of the plant pathogen. BLB pathogen is highly variable in nature and continuous monitoring of its virulence profile is very important for breeding durable resistant varieties. Therefore, monitoring of pathotypes is helpful in evaluating the distribution patterns and composition of the dominant pathotypes. Various rice lines have resistance against Xoo under under epiphytotic conditions. RP 633-519-1-3-8-1, RP2151-173-1-8, BBL 180-5-1-4-1, IR 13610-72-2-2E-P1, IR 22082-41-2, C 702015 and IR 50400-64-1-2-2-2 are some superior line used in breeding programme for developing resistant.
Soil properties influenced by saline water and nitrogen fertilizer application under different irrigation methods in sandy soil
Irrigation with saline water is an alternative to alleviate freshwater shortages in arid and semi-arid regions. However, suitable and efficient irrigation management strategies are much needed for use of saline water as irrigation in agriculture. Necessary measures need to be taken to reduce the soil salinization and its effect on agricultural productivity and sustainability. An experiment was carried out in 2019 and 2020 to evaluate the effects of saline water and nitrogen fertilizer application under two different irrigation methods on soil properties and plant nutrition. The results showed that drip irrigation (DI) with water of high salinity could effectively increase soil moisture content and reduce salinity development in root zone as compared to surface flooding (SF). The soil moisture content in DI was higher than that in SF at surface layer, with increments of 9.4%, 20.3% and 6.8% for 60, 90 DAT and harvest (S1 treatment). The high salinity irrigation water (S3) with DI lowered the soil salinity by 37.4% (60 DAT) and 32.2% (90 DAT) at 0-15 cm depth over SF. The soil salinities at surface layer with S2 and S3 in DI were 2.09 and 3.64 dS/m, respectively, whereas those with SF were 3.59 and 5.36 dS/m. The SOC at surface layer was reduced by 6.3% and 12.5% with S2 and S3 treatment. The concentration of cations and anions in soil significantly increased with the higher salinity levels of irrigation water. The results showed the higher available NPK content (0-15cm) under DI i.e., 126.2 kg ha-1, 29.8 kg ha-1 and 253.5 kg ha-1 and it reduced with saline water treatment except available K in soil. The saline water treatment (S2 and S3) reduced the total NPK content in plant and fruit. Application of 25% higher N rate (N3) over irrigation method and saline water levels increased the total NPK content but it was found to be at par with N2. These results suggest that drip irrigation can be used over traditional method for better soil profile moisture, decreased soil salinity and reduced salinity effects on soil and plant.
Impact of Integrated Crop Management in Cluster Frontline demonstrations on yield and economics in Sawaimadhopur
To enhance the production and productivity of urdbean one hundred cluster front line demonstrations (CFLDs) were organized during 2017-18 and 2018-19 in two clusters of Sawaimadhopur district, Rajasthan by Krishi Vigyan Kendra, Sawaimadhopur. Improved variety pratap urd-1, Seed treatment, Soil test based fertilizer application, line sowing, seed rate and timely pest and weed management were the major interventions of CFLDs. Average urdbean yield under CFLDs was recorded 6.89 q/ha against farmers practices (T-9) 5.03/ha and 37.74 % increase in yield was found in comparison to local check. Maximum net return Rs 23332 and Rs 14400 were recorded under demonstration during both the years 2017-18 and 2018-19, respectively. Average B C ratio was found highest in demonstration plot during both the years 2.49 and 1.60 in 2017-18 and 2018-19, respectively. The values for yield attributes revealed [table-3] that mean of number of branches/plant (7.19), number of pods/plant (24.55), number of grains/pod (6.33) was found higher in demonstration plot as compared to local check (farmers practices).
Effect of QPM hybrids (Zea mays L.) on Nutrient uptake and Quality under different plant population and Precision Nutrient Management practices
A field experiment was conducted at Udaipur during Kharif season of 2016 to study the effect of varying plant population and nutrient management on the nutrient uptake and quality of QPM hybrids. Results revealed that highest nitrogen and phosphorus content and grain and stover their uptake was found with the application of STCR which was followed by SSNM and RDF. N and P uptake in grain and total uptake of N and P was found significantly higher in HQPM-5 over PQMH-1. Hybrid HQPM-5, 1,00,000 plants ha-1 and application of STCR was found better in terms of cholorophyll content. Protein content was found highest with application of STCR over SSNM and RDF.