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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 Kongzhi yu Juece/Control and Decision 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
29 May 2023 (Vol - 54 , Issue- 06 )
Upcoming Publication
31 May 2023 (Vol - 54 , Issue 05 )

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

Response Characteristics of Hyperspectral Images for Determining the Moisture Contents of Potato (Solanum tuberosum) Tubers

Paper ID- AMA-11-12-2021-10945

The study investigated the hyperspectral reflectance responses to changes in the moisture content of potato tubers in a time series generated during oven drying. 17 chemometric preprocessing methods were used to eliminate the impact of spectrum noise on the spectral feature curve. The CatBoost, LightGBM, XGBoost, and other algorithms were used to obtain the effective feature spectra for hyperspectral images. Water content prediction models were derived by using selected feature spectra and the results indicated that the combined model based on the Lasso and XGBoost algorithms had the greatest prediction ability with the highest R2 value of 0.8908.

Heterosis for seed yield and Oil Content in Sunflower Hybrids

Paper ID- AMA-10-12-2021-10943

The present investigation in sunflower (Helianthus annuus L.) was carried out to gather information on gene action and combining ability effects of parents, their hybrids, genotype x environment interaction and stability parameters for various phenological, agronomic/morphological traits and oil content. The experimental material comprised diverse CMS lines and testers crossed in Line x Tester design (4 x 10) to obtain 40 F1s. Hence parents, hybrids and 2 checks were grown during kharif, 2015 at two locations i.e. Udaipur (Rajasthan State) and Latur (Maharashtra State) while during rabi, 2015-16 at Latur only thereby evaluating in three environments following recommended package and practices. The heterosis for seed yield/ plant ranged between -30.41 to 36.63 %. The high specific combiner crosses recorded moderate level of heterosis, heterobeltiosis and economic heterosis. CMS 234A X RHA 138-2, CMS 234A x EC 601957, ARM 249A x EC 623023, CMS 234A x R 16 and ARM 249 x RHA 138-2 could be adjudged as the best heterotic crosses for yield and its component traits viz. head diameter, Seed filling percentage, volume weight and 100-seed weight where as CMS 234A X RHA 138-2, ARM 249A x EC 623023, CMS 234A x R 16 for yield, oil content and hull content. These crosses also manifested high per se performance, good GCA effects of at least one parent and significant SCA effects.

Mitigation of water stress in Eucalyptus tereticornis sm. using brassinosteroids phyto-hormones

Paper ID- AMA-10-12-2021-10940

Mitigation of water stress by the application of brassinosteroids (BRs) on seedlings of Eucalyptus tereticornis was undertaken in the screen house at CCS Haryana Agricultural University, Hisar. BRs are polyhydroxylated steroidal phyto-hormones, which play an important role in regulation of various plant growth and developmental processes. Keeping in view the future prospects of Eucalyptus tereticornis in agroforestry areas, the present study was carried out on the application of brassinosteroids for raising healthy seedlings for the purpose of plantations on private and public lands. At moisture level of field capacity, growth of plants was found maximum and it decreased as the water stress increased. Foliar application of 5 ppm of BRs at 75% moisture of field capacity, 10 ppm at 60% of field capacity and 20 ppm at 60% and 40% moisture levels were found most suitable to mitigate the water stress in Eucalyptus tereticornis.

Dynamic model and visualization of Arabidopsis thaliana phenotype

Paper ID- AMA-09-12-2021-10939

As an important research subject in precision crop production and agroforestry, an optimized plant phenotype is a prerequisite for plant cultivation management and plant line design. Phenotype development and optimization is also a promising approach to adapt plant cultivation to future climate changes. To analyze the effects of biotic and abiotic stresses on plant phenotypes more accurately, A. thaliana was used as the research object in the early stage of this study. Numerous experimental observations and data analyses were carried out to create a dataset for the virtual growth model of A. thaliana that was simulated using by applying the logistic model. Based on the morphological model of A. thaliana, a dynamic model and visualization were created in this study. The leaf morphological structure model of A. thaliana was developed using the NURBS surface, and its stem model was constructed using OpenGL, which enabled us to construct the main organs model of A. thaliana. Moreover, a leaf editor was developed that could edit leaf traits at different growth periods. Finally, a visual simulation of the development process of A. thaliana from the seedling to maturity under different growth conditions was created, providing an effective approach for studying the effects of environmental stress factors on A. thaliana phenotypes. Our work can provide a theoretical framework for research on a virtual dynamic growth model system of general agricultural and forestry plants.

Domestication to De novo domestication: Step Towards Gene Editing Revolution

Paper ID- AMA-09-12-2021-10938

Domestication of wild species round the clock over millennium leads to high yielding varieties of crops well adapted to present growing conditions. Although, humans have benefited from modern technologies to improve agriculture capacities leads to higher production yet growing human population in 21st century needs feeds, cloth, shelter and fuels with limited land availability loaded with additional modern challenges, including climate change, abiotic and biotic stresses. Conventional plant breeding is continuous process focused towards satisfying global food security constrained by environmental calamities, linkage drag, narrow range and insufficiency of genetic diversity etc. De novo domestication through modern gene editing tools have facilitated the development of ideal engineered crops from wild species with desirable agronomic and productivity traits for universal food dependability and safety without loss of valuable genetic diversity. CRISPR/Cas-based gene editing tool intensify efficacy and efficiency of precise gene editing. It is viable tool that has elevated the likelihood of de novo domestication of wild species of crop plants resultant to ideal non-genetically modified crops that can accord to increased yield potential and biotic and abiotic stress resistant characters. De novo domestication helps in designing novel crop ideotype with retained biotic and abiotic stress potential of wild plant which generally losses due course of domestication, a major pitfall of traditional breeding. This review summarizes how de novo domestication through gene editing has been mobilized for trait improvement and harness useful alleles from wild species in different crops.