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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. 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 Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)
29 Mar 2023 (Vol - 54 , Issue- 04 )
31 Mar 2023 (Vol - 54 , Issue 03 )
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 Asia Life Sciences Interventional Pulmonology 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
Industrial Engineering Teikyo Medical Journal Connected Health Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics
Industrial and Commercial Design International Medical Journal Technology Reports of Kansai University Asia Life Sciences Open Access Journals Tobacco Science and Technology
Information Engineering Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Tobacco Science and Technology Teikyo Medical Journal Connected Health International Medical Journal Technology Reports of Kansai University
Chemical Engineering Open Access Journals Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics Azerbaijan Medical Journal
Food Engineering Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980) Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science)
Effect of Foliar Application of Zinc Based Nanofertilizer and Varying Fertility Levels on Growth Attributes, Yield Attributes, Yield and Economics of Maize
A field experiment was conducted during two consecutive Kharif, seasons of 2020 and 2021 at Instructional Farm, Rajasthan College of Agriculture, Udaipur to evaluate the effect of foliar application of zinc based nanofertilizer and different fertility levels on growth attributes, yield attributes, yield and economics of maize. The experiment was laid out in a factorial randomized design with three replications comprising four foliar application of nanofertilizer (Control, at knee high stage, at 50% tasseling stage and both at knee high stage and at 50% tasseling stage) and four fertility levels (100% RDF, 90% RDF, 80% RDF and control). Significantly highest grain, stover and biological yield (51.90, 82.32 and 134.21q ha-1) were recorded with the dual foliar application of nanofertilizer at knee high stage and at 50 per cent tasseling stage over single stage foliar application. Among different levels of fertility, application of 90 per cent RDF significantly increased grain, stover and biological yield. Yield attributing characters viz., cob length (cm), girth of cob (cm), grains cob-1, cob height (cm), grain weight cob-1 (g), 1000 grain weight (g) and Shelling (%) were significantly higher with the dual foliar application of nanofertilizer at knee high stage and at 50 per cent tasseling stage and application of 90 per cent RDF in maize. Similarly, the significantly highest protein content of maize (11.13 % and 10.97 %) was found in with dual foliar application of nanofertilizer and 90 per cent RDF, respectively. The significantly highest net return and B:C ratio were found under dual foliar application of nanofertilizer 82956 and 3.04) and soil application of 90 per cent RDF (`86112 and 3.15) in maize.
Evaluation of Biochemical Basis of Resistance in Mustard against Powdery Mildew
Indian mustard [Brassica juncea (L.) Czern & Coss] is an important oilseed crop. Powdery mildew of mustard incited by Erysiphe cruciferarum (Opiz ex Junell) is the most important disease that causes a maximum reduction in yield and quality of mustard seed. The resistance of plants to various pathogens depends on the synthesis and level of various defense enzymes like hydrolyses peroxidases, phenol and PR-Protein. The present study focused on powdery mildew and its biochemical correlation with TSS, PR-Proteins and phenols content. The field studies observed that this disease incidence data were correlated with biochemical changes and levels of TSS, PR-protein and phenols activities. Among biochemical basis of resistance in mustard, TSS and Protein are maximum in healthy plants compared to infected plants, and Phenol content is minimum in healthy plants compared to infected plants were observed in leaves of infected plants with Erysiphe cruciferarum compared to the healthy ones. Biochemical changes in total soluble sugars, protein and phenol content were played a significant role in imparting resistance against this disease. A similar trend in these biochemical was also observed at tender and maturing stages of leaves.
Assessment of Principal Component Analysis and Genetic diversity among linseed (Linum usitatissimum L.) germplasm under Humid South Eastern plain of Rajasthan
The present investigation was carried out to assess PCA and genetic diversity in linseed germplasm during Rabi 2019-20 at Agricultural Research Station, Ummedganj, Kota, Rajasthan to determine level of variability among twenty nine rice genotypes in randomised block design using principal component analysis. First three principal components exhibited more than one Eigen values and accounted for 74.02% percent of total variation. PC1 accounted 42.79% of the total variability contributed by the traits like number of capsule per plant, seed per capsule, thousand grain weight and branches per plant whereas PC2 account 17.60% of the total variation that was contributed by the traits viz. number of capsule per plant, seed per capsule, plant stand, plant height and days to 50% flowering. PC3 had the contribution from the characters like plant height and 1000-grain weight. Thus, the results revealed vast genetic variation and the traits contributing for the variation in linseed genotypes which can be used for various breeding programmes for improvement in yield and quality. Cluster I consisted of 11 cultivars showed maximum mean grain yield. Cluster I had genotypes having higher mean values for characters like seed yield, thousand weight and also desirable for early flowering trait. Cluster VI had the highest mean values yield contributing traits like branches per plant, seed per capsule and capsule per pod that had significant positive correlation with grain yield. Cultivars having favourable characteristics from these clusters could be employed as prospective donors in a future hybridization programme to generate high yielders.
Crop bio-intensification using different land configuration and nutrient management practices for profitable and sustainable production under foot hill plains of north-western Himalayas
An investigation was conducted at Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu (SKUAST–Jammu) to study the bio-intensification possibilities in different cropping systems. The experiment was laid out in randomized block design (factorial) with 15 treatments and three replications. Among different crop bio-intensification systems, Wheat + Mustard (6:1) – Moongbean– Maize (Bed) + Cowpea (B) recorded higher Wheat equivalent yield (WEY) (142.64 q/ha and 144.86 q/ha), crop profitability (Rs 337/ha /day and Rs 352/ha/day), system profitability (Rs 304/ha/day and Rs. 324/ha/day), production efficiency (43.36 kg/ha/day and 43.12 kg/ha/day) during both years of experimentation. With regard to microbial population, higher population of bacteria (13.55x106 cfu/g and 15.92 x 106 cfu/g), fungi (20.17 x 106 cfu/g and 22.18 x 106 cfu/g) and actinomycetes (18.27x106 cfu/g and 20.10 × 106 cfu/g) was recorded in Wheat (FIRB)+Lentil (B) – Moongbean – Brown Manuring +Rice (F) + Moongbean (Bed) as compared to rest of the treatments during 1st and 2nd year of experimentation. Amongst the nutrient management practices, 100% inorganic nutrient management practice recorded higher WEY (12585 kg/ha and 12740 kg/ha), crop profitability (Rs 360/ha/day and Rs 374/ha/day), system profitability (Rs 314/ha/day and Rs 332/ha/day), production efficiency (39.58 kg/ha/day and 39.32 kg/ha/day) during both years of experimentation. Thus, application of 100% inorganic nutrient management practice in Wheat + Mustard (6:1) – Moongbean– Maize (Bed)+Cowpea(B) crop bio-intensification system has yielded maximum WEY of 127.40 q/ ha with net returns (Rs 121033) and B:C ratio of 1.90.
Principal component analysis for assessment of genetic diversity in rice under Humid South-Eastern plain of Rajasthan
The present investigation was carried out during Rabi 2019 at Agricultural Research Station, Ummedganj, Kota Rajasthan, India to determine level of variability among twenty five rice genotypes in randomised block design using principal component analysis. First three principal components exhibited more than one Eigen values and accounted for 83.91 percent of total variation. PC1 accounted 49.18 % of the total variability contributed by the traits like number of grains per panicle, 1000-grain weight, grain yield per plant and amylase content, whereas PC2 account 24.39 % of the total variation that was contributed by the traits viz. number of productive tillers per plant, days to 50 % flowering, number of grains per panicle, days to maturity and plant height. PC3 had the contribution from the characters like productive tillers per plant, 1000-grain weight and grain yield per plant. Thus, the results revealed vast genetic variation and the traits contributing for the variation in rice genotypes can be used for various breeding programmes for improvement in yield and quality. Cluster I consisted of 7 cultivars showed maximum mean grain yield. Maximum inter cluster distance was recorded between cluster VI and VII. Cluster I had the highest mean values for grain yield and number of productive tillers per plant. Cluster VI had the highest mean values for 1000-grain weight, 1000-grain weight and Panicle length that had significant positive correlation with grain yield. The cultivars from these clusters with desirable characters may be used as potential donor for future hybridization program to develop high yielders.