WOS Indexed (2024)
clarivate analytics

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. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi

Submission Deadline
18 Apr 2024 (Vol - 55 , Issue- 04 )
Upcoming Publication
30 Apr 2024 (Vol - 55 , Issue 04 )

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

Genetic diversity through D2 and cluster analysis for structural and economic traits in yardlong bean (Vigna unguiculata var sesquipedalis L.) under rainfed semi-arid conditions of Gujarat

Paper ID- AMA-25-08-2023-12542

The experiment was carried out at Central Horticultural Experiment Station, ICAR- CIAH Godhra, Gujarat. The genetic diversity was assessed to seventy genotypes of yardlong bean for three consecutive growing seasons during 2020, 2021 and 2022 for nine quantitative traits viz., plant height, number of branches per plant number of pods per plant, pod length, pod girth, pod weight, Days to first flower, days to fist harvest and pod yield per plant. The maximum inter cluster D2 value was observed between cluster I and cluster IV (54.85) followed by cluster II and cluster IV (51.83) which exhibits the wider genetic diversity which showed the wider genetic diversity among the genotypes of these clusters. The contribution of individual character to genetic divergence mainly comes from the traits like pod length (30.35%), pod weight (21.74%), number of pods per plant (19.92%), days to first flowering (15.82%). The various patterns of clusters shows the valuable traits for attaining high pod yield was present in cluster IV followed by cluster V. The cluster IV having higher mean values with respect to plant height, number of branches per plant, pods per plant and pod yield per plant. Whereas, the cluster V having higher mean values for pod length, pod girth and pod weight. The cluster II having higher mean values for earliness like days to first flowering and days to first harvest. Thus, more weightage should be given to the cluster IV and cluster V for yield and yield attributes and clusters II for earliness for parental selection and development of variety in future breeding programme of yardlong bean.

Studies of Phenological growth stages of different Psidium guajava L cultivar through BBCH scale under subtropical condition

Paper ID- AMA-24-08-2023-12541

Phenological growth stages of different varieties (Lalit, Shweta, Allahabad Safeda, Dharidar and HPSI 46) guava was observed according to BBCH scale and the data were recorded in different stages in days. Earliest Bud swelling, bud growth begins and first leaves sprouting was found earliest Dharwar. Minimum number of days taken for leaves unfolded in Cv. HPSI 46, minimum days was recorded to complete leaves development in cultivar shweta, while Allahabad Safeda showed earliest flower buds. Least days taken to express of first flower buds, flower petals elongating and sepals totally opened found by cultivars Shweta, Lalit and Allahabad Safeda respectively. The minimum days required by cultivars Shweta and Allahabad Safeda to produce 50% flowers open, petal fall and fruit setting respectively.


Paper ID- AMA-24-08-2023-12538

The core of veterinary anatomy is the study of three-dimensional animal body structures. The study of veterinary anatomy has traditionally served as the cornerstone of all disciplines in human medicine, veterinary medicine, and animal sciences. A classic anatomy lesson would involve didactic lectures utilizing chalk and talk, PPT presentations, the teacher doing a prosection, and the students performing a dissection. Creating 3D anatomical specimens, helps instructors and students to get rid of laboratories and museums which are filled with formalin specimens and their vapor. This study revealed a novel method for CT scanning and DICOM file generation for creating raw rasterized data. Additionally, the data were converted into STL (Standard Tessellation Language) files, allowing for simple 3D printing. The new technology was used to print an ox heart using Polyurethane(TPU) filaments through FDM and SLA-type 3D printers without sacrificing quality. Every person has the right to a healthy lifestyle. In this setting, 3D-printed teaching materials are a godsend for pedagogy. In this research, the materials, processes, and benefits of 3D printing of biological specimens for veterinary anatomy were examined. Creating veterinary anatomy specimens using 3D printing technology is undoubtedly the start of a new era in veterinary anatomy education.

Evaluation of bottle gourd variety Thar Avani under rainfed semi-arid conditions for morphological traits along with antioxidant potentiality and mineral content

Paper ID- AMA-23-08-2023-12537

The present study was conducted at ICAR-Central Horticultural Experiment Station (CIAH-RS), Godhra, Gujarat during 2021-2022. The correlation coefficients among antioxidants, nutritional and physiological traits of bottle gourd varieties calculated and summarized by using the BLUPs. A strong positive correlation was found in CUPRAC with DPPH (r=1.00; P≤0.01). High mag-nitude and non significant correlation was found in TF with CUPRAC and DPPH (r = +0.96). Among 29 physiological traits in bottle gourd varieties, highly significant correlation in FL and FW with FG and NFMF, respectively (r=+1.00; P≤0.05) were observed. Likewise, FW with FL (r=+1.00; P≤0.001). High magnitude and significant correlation was found between IL and LPL (r=+1.00; P≤0.01). Similarly, High magnitude and significant correlation links were noticed in NFFF (r=+1.00; P≤0.01), DFFA (r=+1.00; P≤0.05) and NMFP (r=+1.00; P≤0.01) with LW; DFFA with NFFF(r=+1.00; P≤0.05); NMFP with NFFF (r=+1.00; P≤0.05); NFP with NFFP with NFFF(r=+1.00; P≤0.01); SYH with SYP with NFFF(r=+1.00; P≤0.001); FYP with SYP (r=+0.99; P≤0.01), SYH (r=+0.99; P≤0.01) and PL (r=+1.00; P≤0.01); FYH with SYP (r=+0.99; P≤0.01), SYH (r=+0.99; P≤0.01), PL (r=+1.00; P≤0.01) and FYP (r=+1.00; P≤0.001); RT with NSF (r=+1.00; P≤0.05); AAS with NSF (r=+1.00; P≤0.05) and RT (r=+1.00; P≤0.001); SYF with NSF (r=+1.00; P≤0.05). The most important component (PC I) accounted for 2.82E+01 of the eigen value of various traits of viz., TF, P, Mg, Mn, LL, LW, LPL, IL, NFMF, NFFF, DFFA, NFFP, FL, FG, PdL and FW contributed significantly towards variation and remaining contributed nega-tively in PC I. High PCV and GCV were recorded for the TF (24.5398 and 25.1457), LPL (32.812 and 33.0797), IL (26.4953 and 26.6832), NFFF (44.5599 and 45.3748), DFFA (23.9766 and 24.1199), NFFP (60.336 and 61.3191), NMFP (26.8572 and 27.2372), FL (30.2802 and 31.4789), FG (50.0635 and 50.2592), FW (66.1507 and 66.3744), NFP (66.752 and 68.1876), FYP (37.6462 and 38.6746), FYH (37.6464 and 38.6749), SYP (74.9487 and 76.552) and SYH (74.9489 and 76.5522). Moderate PCV and GCV were recorded for antioxidants viz. TP (16.1697 and 16.3706), CUPRAC (17.4532 and 18.1472), FRAP (18.232 and 18.9743), AAF (10.8654 and 10.9649); mineral content including Ca (10.9894 and 13.2227); and physiological traits viz. PL (11.5225 and 15.8628), LL (10.3656 and 10.8454), LW (11.6807 and 12.3559), PdL (10.8469 and 11.4547), RT (19.414 and 19.6855), FT (10.2848 and 10.748), AAF (10.5699 and 11.5069), and SYF (14.5073 and 14.7749). High genetic advance was observed for TP (22.07%), AAF (21.38%), K (67.44%), DFFA (29.85%), NFFP (23.64%), FL (25.74%), FG (49.31%), FW (99.61%), FT (22.68%), NFP (25.29%), NSF (22.62%), FYP (26.93%), FYH (23.88%) and SYP (45.51%).

Standardization of seed germination and assessment of quality traits of Moringa oleifera seedlings grown in different substrates under dryland semi-arid conditions

Paper ID- AMA-23-08-2023-12536

The present study was aimed for standardization of seed germination and assessment of quality traits of Moringa oleifera seedlings grown in different substrates under dryland semi-arid conditions. PCA using the twenty seven traits of eighteen treatments of M. oleifera indicated that 90.16 % variability was accounted for the first four principal components (PCs) with eigen values ≥1 (Fig 2-4). The 1st principal component (PC1) had an eigen value of 12.00 and explained 44.43 % of the total variation. The second component (PC2) explained 27.30% of the total variance with an eigen value of 7.37 and explained 71.73 % of the total variation. G6DAS and G8DAS with G6DAS, G8DAS with G6DAS, G12DAS and G14DAS with G10DAS, G14DAS with G12DAS, SSNS45DAS and LL45DAS with SSEW45DAS, LL45DAS with SSNS45DAS, P and K with DM, K with P, Mg and DPPH with Ca, DPPH with Mg were significantly and highly correlated r = +1.0. High magnitude and significant correlation were found between St45DAS and G10DAS, St45DAS and Se45DAS, ViC with SSEW45DAS, SSNS45DAS & LL45DAS, TF and ViC, TP & TF with Ca & Mg, DPPH with TP & TF, CUPRAC and FRAP r = +0.9. The inter cluster distance (D) ranged from 770.33 to 1590.58. The intra cluster distance (D) ranged from 142.25 to 957.11. cluster I had maximum mean value for sixteen traits viz. G4DAS, G6DAS, G8DAS, G10DAS, G12DAS, G14DAS, Se45DAS, St45DAS, LNS45DAS, Mo and Fe and minimum mean value for LNL45DAS, Mo, P, K and TF while moderate mean value for traits SSEW45DAS, SSNS45DAS, LL45DAS, ViC, Ca, Mg, TP, FRAP, CUPRAC and DPPH. The maximum germination was recorded in cluster I.