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.
WOS Indexed (2026)
07 May 2026 (Vol - 57 , Issue- 05 )
31 May 2026 (Vol - 57 , 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
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
Study on effect of different salinity on growth and morphological traits of nerium cultivars (Nerium oleander L.)
Six cultivars of nerium (Single Pink, Single White, Single Red, Double Pink, Double White and Double Red) was evaluated to identify the salt tolerant cultivars on basis of growth and morphological parameters. This study was carried out in Department of Horticulture, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai. These cultivars were transplanted polybags with soils of four different salt levels includes control (S1 – 0.87 dS m-1), low saline (S2 – 3.94 dS m-1), medium saline (S3 – 5.78 dS m-1) and high saline (S4 – 7.85 dS m-1) along with 2 dS m-1 saline water (by dissolving NaCl, CaCl2 and MgCl2) was irrigated based on moisture availability. The parameter viz., plant height (84.53 cm), number of leaves per plant (1.09 Nos.), leaf area (1773.32 cm2), stem thickness (3.12 cm), number of branches (1.09 Nos.), root length (28.87 cm), root dry weight (25.59 g), internodal length (4.01 cm) and survival percentage (94.33 %) was recorded. All parameters show significant decrease with increasing salinity. In cultivar Single Red plant height was high and low height was observed in Double Pink at high salinity. Double Red cultivar shows more tolerance to all salinity levels, but Double pink have more salinity symptoms and shows less tolerance.
A SHORT-TERM FORECAST OF GOLD PRICE AND RELATIONSHIP BETWEEN GOLD PRICE AND OIL PRICE IN INDIA
At various points throughout the history, gold has proved time and acted as a hedge against financial downturn and emerged as an important investment tool. The purpose of this study was to do a short-term forecast of gold price future trend using Auto-regressive Integrated Moving Average (ARIMA) model. Further, Vector Error Correction Model (VECM) was employed to find the correlation between gold and crude oil prices. Among various results obtained from the study, results showed that ARIMA (1,1,1) was the best fit model to predict the future price of gold. VECM analysis suggested that gold prices have long-term correlation with crude oil prices in India.
MARKETING OF CAPSICUM UNDER PROTECTED CULTIVATION IN KRISHNAGIRI DISTRICT OF TAMIL NADU
In India, production of capsicum found to be around 326 thousand tons from the area of 46 thousand hectare with the productivity of 7,108.70 kg per hectare during the year of 2017. In Tamil Nadu the total production of capsicum is around 16,689 tonnes from 284 hectare during the year of 2017-2018. In Tamil Nadu Krishnagiri district stands first in the production during the year of 2017-2018. The objectives of the study was to measure socio economic status of sample respondents, marketing efficiency and to study the problems faced by the capsicum farmers. The sample was collected from Krishnagiri district. The total sample size was 120 sample respondents. Among the total sample size 90 farmers, 30 middlemen were selected by using multi stage random sampling technique. The findings of the study concluded that most of the farmers fall under the category of higher secondary education. Marginal type of farmer was the majority among the sample farmers. Three marketing channels were observed in this study. Marketing channel I was found more efficient with 9.37 percent when compared with other two channels. Lacking in credit was the major constraint faced by the majority of the farmers followed by huge investment cost and price information.
Cytological observations in colchicine induced hexaploids and their triploids of cross between Gossypium hirsutum [2n = 4x = 52, (AD1)] and Gossypium armourianum [2n = 2x = 26, D2-1]
Two interspecific hexaploid [2n=6x=78, 2(AD1)D2-1] fertile hybrids between two varieties of cultivated tetraploid species G. hirsutum [2n=4x=52, (AD1)] viz., MCU 5 and TCH 1609 and wild diploid species G. armourianum [2n=2x=26, D2-1] were synthesized by doubling the chromosome number of their respective F1 sterile triploid [2n=3x=39, (AD1)D2-1] hybrids using aqueous colchicine solution. Morphological and cytogenetic analysis confirmed the true nature of triploid and its hexaploid hybrids. The F1 triploid plants were intermediate in morphological characters and they were highly pollen sterile as well as self sterile. A maximum of 13 bivalents per PMC was recorded in G. hirsutum var. MCU 5 X G. armourianum triploid [2n=3x=39, (AD1)D2-1] but 10 I + 13 II +1 III was the most frequent meiotic configuration. In the triploid of G. hirsutum var. TCH 1609 X G. armourianum [2n = 3x = 39, (AD1)D2-1], maximum of 13 bivalents was recorded with an average of 11.08 bivalents, but 10 I + 10 II + 3 III and 13 I + 13 II were the most frequent meiotic configuration. The hexaploids [2n=6x=78, 2(AD1)D2-1] showed the expected features of the colchiploidised plants such as large sized flowers than triploids, increased pollen grain size, fertile pollen grains, boll and seed set with fibres as compared to the F1 sterile triploid plants. The hexaploid G. hirsutum var. MCU 5 X G. armourianum [2n=6x=78, 2 (AD1)D2-1] recorded maximum of 32 bivalents per PMC with most frequent meiotic configuration of 3 I + 25 II + 3 III + 4 IV. The maximum of 29 bivalents with an average of 24.96 bivalents per PMC was recorded in G. hirsutum var. TCH 1609 X G. armourianum hexaploid [2n=6x=78, 2 (AD1)D2-1], but 3 I + 28 II + 5 III + 1 IV was the most frequent meiotic configuration. The morphological and meiotic behavior of these hexaploid hybrids provided valuable information for their practical utilization in a cotton breeding programme.
Sustainable yield management of farm-grown teak in the Cauvery delta zone
A natural Teak resource is available only in few tropical and sub-tropical countries like India, Myanmar, Thailand etc. India is the leading exporter of teak resources in early decades, but presently the country is becoming the major net importer of teak resources in order to meet their requirements. Based on the constrains, the present study was conducted in farmlands under Cauvery Delta Zone (CDZ) of Tamil Nadu to analyze the available teak resources and their influence on growth and volume production. The growth and volume production of teak among the farm grown teak in different age class were recorded in cauvery delta agroclimatic zone of Tamil Nadu. In this study, we evaluate the use of a linear program (LP) to achieve sustainable yield management in the Cauvery Delta Zone specifically for teak trees that are between 12 and 13 years old age class attaining maximum yield 56. 16 tonnes and DBH (0.6477 m). Hence, it is concluded that under farmland condition, Cauvery delta zone is more superior zone for teak plantation due to the influence of optimum climatic and edaphic factors. Through the use of the simultaneous equation, a sustainable height and DBH are calculated, and the accuracy of the prediction is enhanced with increasing stand age. The final step is determining which model, the linear program or the SPSS software-ARIMA model, provides the best fitting results.