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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)

Submission Deadline
24 Mar 2023 (Vol - 54 , Issue- 03 )
Upcoming Publication
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

Factor productivity and it’s determents in Odisha’s agriculture

Paper ID- AMA-16-05-2022-11377

Agricultural productivity and technological changes are important for enhancing growth in agriculture and measurement of these would help to determine the direction of investments in agriculture. The measure that compares output with the levels of use of inputs would be the most ideal one. Keeping this in view, the total factor productivity (TFP) approach was used to decompose productivity. The analysis was performed for the state as a whole as well as for the 10 agro-climatic zones and comparisons were made between high and low productive zones. The constraints for achieving higher productivity were identified so as to suggest suitable policy options that could be adopted to achieve higher productivity. The study made use of both cross-section and time series data from 1997-2007 to 2008-2018 and were obtained from the Directorate of Economics and Statistics, planning department and the department of agriculture. The analysis considered 12 crops and comprised of variables such as area, production, prices, seeds, fertilizers, farm yard manure, maintenance and repair charges of fixed assets, irrigation charges, marketing costs, electricity, pesticides, diesel oil, depreciation, land rent and labour costs. The Tornqvist-Theil divisia chained indices for TFP The total factor productivity (TFP) in Odisha increased at the rate of 0.05 per cent per annum during the entire period of study. This trend was due to higher growth of output (0.38 per cent) in relation to the growth of input use (0.33 per cent). During the first phase, the TFP declined by 0.02 per cent per annum while in the second phase TFP increased by 0.18 per cent per annum. The variation in TFP among the zones around the trend was mainly due to variation in output. The growth in agricultural labour force in the state was positive and higher in the second phase when compared to the first phase. variables in order to identify the major determinants. These determinants of the TFP growth suggest areas for policymaking and the policy discussions should be indicative rather than directive. Government expenditure on Agricultural research, education and extension per ha, average rainfall in mm, percentage of irrigated crop area, and rural literacy percentage and cropping intensity were identified as the determinants of the TFP of all crops in the state. The R2 value of the regression model was 80.7% (significant at 5% level) implying that 81% variation in the TFP growth was explained had its own influence on the TFP.

Assessment of Combining Ability and Heterosis for Quantitative Traits in Indian mustard (Brassica juncea L. Czern & Coss.)

Paper ID- AMA-16-05-2022-11376

Brassica are economically most important genus consisting of oilseeds, vegetables and forage crops. Brassica juncea L. commonly known as Indian mustard. The present study was carried out with 7-parents/strains (Varuna, Vardan, Basanti, Maya, NDR-8501-19, PR-21-15 and TPM-1) and 21crosses were obtained through diallel mating design (excluding reciprocal crosses). Total 28 genotypes (21 F1 + 7 parents) were investigated for 11 traits viz. days to 50% flowering, days to maturity, plant height (cm), length of main raceme (cm), number of primary branches per plant, number of secondary branches per plant, number of siliquae per plant, 1000-seed weight (g), protein content (%), oil content (%), and seed yield per plant (g). The estimates of average degree of dominance indicated presence of over-dominance for all traits. The variety Basanti and Varuna were found best general combiners in case of oil content in percent. The cross Basanti x PR-21-15 were found to be best for SCA for yield whereas, NDR-8501-19 x TPM-1 for oil content. Heterosis was observed in Vardan x PR-21-15 over better parent, while Maya x NDR-8501-19 showed heterosis over economic parent for yield.

The Amalgamation of Parametric and non-Parametric Stability Models with Yield stability Index to identify superior Rice genotypes from the Antenna Panel of Global Rice Array-IV

Paper ID- AMA-13-05-2022-11368

G × E interaction is major cause of discrepancy in crop yield under different environments. International Rice Research Institute (IRRI) launched their fourth flagship project on Global Rice Array (GRA-IV) to identify climate resilient rice genotypes. Various non-parametric (Nassar and Huehn’s method, Huehn’s method and Thennarasu’s method), parametric (Wricke’secovalence, Francis and Kannenberg’s coefficient of variance and Eberhart and Russell’s method) and multivariate methods- Additive Main Effects and Multiplicative Interactions (AMMI) had been already designed to differentiate genotypes for their behavior under different environmental conditions. Due to differential ranking of genotypes in different models, the Average of Sum of Ranks (ASR) of all measures was used in combination with Yield Stability Index (YSI) in this study, to identify desirable, high yielding and stable rice genotypes. The present investigation consisted of 26 rice genotypes (from ‘Antenna Panel’- Global Rice Arrays-IV). Genotypes of ‘Antenna panel’ were designed to help in characterization and diagnosis of diversity and dynamics of evolving climate through the eye of the crop and thus predict future grain yield for that growing site. This experiment was carried out over three different environments of Northern tarai region (Norman Ernest Borlaug Crop Research Center), Pantnagar, Uttarakhand, India. Pooled analysis of variance (ANOVA) for grain yield over the three different test environments pointed out the existence of significant differences among genotypes, G (44.32 %), environments, E (8.36 %) and interactive G × E effects (47.32 %). The genotypes G 4, G 6, G 23, G 9 and G 21 were identified as most stable genotypes as they had lowest ASR values of 2.3, 2.7, 4.7, 5.6 and 5.9 respectively. The ASR method in combination with YSI revealed that G4 is the most desirable genotype as it was not only stable but also high yielding; such superior genotypes can be utilized in future breeding programs for numerous benefits.

Variability Analysis of Seedling Grown Acid Lime Genotypes in the Foot Hills of North Western Himalayan Regions of India

Paper ID- AMA-13-05-2022-11367

Lime (Citrus aurantifolia Swingle) is one of the important commercial fruit cultivated in Jammu region. The experiment was conducted to study variability among acid lime genotypes. A survey was undertaken during 2017 to 2019 in five districts of Jammu province. The study comprised of characterization and evaluation of lime genotypes that were identified in different areas. Seventy acid lime genotypes from different areas were selected. The results revealed that maximum tree height (4.2 m) was recorded in genotype JMU-Nag(66). Most of the genotypes were obloid in tree shape with spreading tree growth habit, dense branching habits and narrow branch angle. Among fruit characters maximum fruit weight (56.26 g), fruit diameter (49.57 mm), fruit length (55.70 mm) and total yield (160.28 Kg/tree) was recorded in genotype JMU-Nag(70) whereas width of epicarp at equatorial area (2.50 mm) was recorded maximum in JMU-Log(9). Cluster dendrogram grouped seventy lime genotypes under two main clusters A and B representing the intensity of diversity and closeness among them. Cluster-A had four genotypes and cluster B is further divided into nine sub clusters comprising of sixty-six genotypes. As cluster I comprised of only four genotypes and formed the separate and most distinctive cluster representing JMU-Pana(41), JMU-Jib(36), JMU-Nag(65), JMU-Nag(70) as the most diverse genotypes and can be used for further breeding programme.

Impact Of Partial Root Zone Drying, Regulated Deficit Irrigation And Fertigation On Growth And Quality Mango (Mangifera indica L.) cv. Dashehari Under Rainfed Conditions

Paper ID- AMA-13-05-2022-11366

This study addresses water-saving irrigation strategies, including regulated deficit irrigation (RDI) at 75% and 50% crop ETc and partial root-zone drying (PRD) at 75% and 50% ETc to investigate the response of the mango (Mangifera indica L.) drip system in the field on a sandy loam soil during years 2017 and 2018. Results revealed that the soil moisture content was recorded maximum in treatment T1(100% ETc) whereas, soil potential was recorded maximum under T10 (no irrigation) during both the years. The maximum fruit weight (206.45 and 208.29 gram), fruit length (10.37 and 10.40 cm), fruit breadth (6.31 and 6.33 cm), fruit volume (213.87 and 216.56 cm3) and specific gravity (1.03 and 1.04 g/cc) were recorded in T7 (PRD 75% ETc + F) during both the years 2017 and 2018, respectively. Mango trees treated with PRD 50% ETc and fertigation recorded maximum TSS (20.42 and 20.50 0Brix), titrable acidity (0.22 and 0.22 %), total sugars (15.25 and 15.30 %), reducing sugars (3.71 and 3.73 %), non reducing sugars (10.96 and 10.99 %). The application of PRD 75% ETc + F resulted in maximum fruit set (0.96 and 0.98 %) and yield (47.02 and 97.11 kg/tree) compared to all other treatments and maximum fruit drop percent was found in treatment (T10) 86.24 and 87.13 %. The maximum water use efficiency was recorded in PRD 50% ETc + F (T9).