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 (2025)
27 Nov 2025 (Vol - 56 , Issue- 11 )
30 Nov 2025 (Vol - 56 , Issue 11 )
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
ASSESSING LIVESTOCK PRODUCTION DISPARITIES: A PRINCIPAL COMPONENT APPROACH
The study was undertaken to determine the factors accountable for livestock progressiveness and to identify the relative position of each district in its contribution to livestock potential in the state of Tamil Nadu by using secondary data. Factor analysis with principal component approach (PCA) was used to determine the relationship among indicators for assessing livestock production potentials. The results revealed four major components contributing to livestock production viz., “agriculture cum cow milk”, “small ruminant meat”, “buffalo milk” and “large ruminant meat”. These components together explained 64 percent of variations and their eigenvalues were greater than 1.5. The factors extracted with factor loadings above 0.4 were considered for interpretation. Based on the factor scores, eigenvalues of factors, and factor loadings, an index was constructed and the relative position of districts was identified. Further, the districts were classified into three categories based on the index: highly progressive, moderately progressive, and least progressive districts in the livestock sector. This identification of the relative position of the district based on resource availability would help the planners and policymakers to reorient their strategies on areas where livestock progress can be enhanced.
Effect of Melatonin on liquid stored semen of endangered Teressa goat under tropical humid island ecosystem of Andaman and Nicobar Islands, India
An evaluation was conducted on the effects of melatonin in semen extender on semen quality measures in Teressa bucks. For the investigation, a total of twenty-five semen samples from six bucks were chosen. Gr II, III, and IV spermatozoa were incubated in 10 µg, 20 µg, and 40 µg of melatonin/150 × 106 spermatozoa, respectively. For up to 96 hours, liquid-stored semen samples were examined for motility, viability, total sperm abnormality, plasma membrane, acrosomal and nuclear integrities, intracellular enzymes (aspartate aminotransferase; AST, alanine aminotransferase; ALT, and lactate dehydrogenase; LDH), cholesterol efflux, seminal total antioxidant capacity (TAC), and malondialdehyde (MDA) in relation to the control group (Gr I). The findings showed that, at different times during liquid storage, sperm treated with 20 µg of melatonin had significantly (P<0.05) lower total sperm abnormalities, AST, ALT, LDH, MDA, and cholesterol efflux and significantly (P<0.05) higher motility, viability, plasma membrane, acrosomal and nuclear integrities, and TAC. Antioxidants and semen quality measures were trending upward, whereas total sperm abnormalities, MDA, intracellular enzyme leakage, and cholesterol efflux were trending downward from Gr I to Gr III and subsequently in the opposite direction from Gr III to Gr IV throughout various liquid storage hours. Therefore, 20 µg of melatonin was an appropriate dosage for Teressa goat liquid semen preservation.
Effect of different tillage practices and nitrogen placement methods on wheat growth, yield attributes, and yield of wheat in maize-wheat system
A field experiment was conducted in a split-plot design at ICAR-Indian Institute of Maize Research during 2022-23 and 2023-24 to study the impact of tillage practices and nitrogen placement methods (NPM) on wheat growth and yield in a maize-wheat system. The main plot treatments consisted of Zero tillage with residue retention (ZT+R), Zero tillage (ZT), and Conventional tillage (CT). Four NPMs were assigned to subplots: Control, Recommended Dose of N (RDN), Improved RDN, and Improved 80% RDN. ZT+R resulted in higher plant height (9.06-10.34%), dry matter accumulation (5.49-9.71%), and leaf area index (3.1-13.82%) compared to CT during 30-120 DAS. Yield attributes like effective tillers/m2, spikelets/spike, and spike weight were significantly higher in ZT+R than CT by 7.89, 7.34, and 16.91%, respectively. Grain, stover, and biological yields were also found significantly lower in CT than ZT+R by 8.97, 8.42, and 8.64%, respectively. Improved RDN reported significantly higher growth, yield attributes, and yield than RDN, with significant increases in grain, stover, and biological yields by 8.72, 6.59, and 7.54%, respectively. Yields in RDN and improved 80% RDN were similar, indicating a 20% nitrogen saving due to subsurface placement of N. The study concludes that combining ZT+R with subsurface nitrogen placement can enhance wheat yield attributes and yields while reducing environmental degradation by minimizing nitrogen doses.
Complete blood counts, serum antioxidant levels, biochemical profiles, and hormone levels in the endangered Teressa goat of the Andaman and Nicobar Islands are affected by lactation stage
The goal of the current study was to evaluate the relationship between haematological, blood metabolic, and lactation phases in the critically endangered Teressa goat (TG) of the Andaman and Nicobar Islands (ANI). From the goat breeding facility of the ICAR-Central Island Agricultural Research Institute (CIARI), Port Blair, ANI, 30 healthy Teressa goats aged 3–4 years were chosen. From day 1 to 135 of lactation, 15-day interval was used to examine the haematological, serum biochemical, antioxidant, and endocrinological profiles, which were then split into the first (day 1 to 45), second (day 46 to 90), and third (day 91 to 135) stages of lactation. The amount of milk produced on average (in mL) varied greatly depending on the stage of lactation (first stage: 763.17 ± 17.37; second stage: 506.58 ± 18.79; third stage: 226.13 ± 15.59). Between lactational phases, haematological profiles did not alter much, although they did fall within the range of caprine species. While albumin, aspartate amino transferase (AST), and alanine amino transferase (ALT) decreased significantly as lactation stages advanced, serum biochemical profiles such as glucose, total cholesterol (TC), total protein (TP), globulin, calcium, phosphorous, and magnesium increased significantly as lactation stage advanced. There were no statistically significant differences in TG, ALP, or creatinine levels among lactational phases. Similarly, serum triiodothyronine (T3) and thyroxine (T4) increased, prolactin and cortisol markedly decreased as lactation phases advanced. As the stage advanced, the total antioxidant capacity (TAC) rose and the oxidative stress marker malondialdehyde (MDA) considerably reduced. In the humid tropical island ecology of ANI, it is established that the first and second lactational stages in endangered Teressa goats are more stressful than the third stage.
Evaluation of Rumination Time and Body Activity for Timely Oestrus Identification in Dairy Cows
Timely and accurate oestrus detection is crucial for optimizing reproductive efficiency in dairy herds. This study evaluated the potential of monitoring rumination time and body activity using sensor technology to identify oestrus events in lactating cross bred H.F cows. Rumination time, body activity data were collected from 100 cows from Chahal dairy farm for 180 days. Gold-standard oestrus events were identified by visual observation and confirmed by veterinary examination. Machine learning models were developed to predict oestrus events based on deviations in sensor data patterns. Results showed that both rumination time and activity index could detect oestrus with reasonable accuracy. Rumination time decreased by an average of 19.27% (95.83 minutes) compared to the baseline during estrus period (P<0.05). Activity index increased by 53.93% compared to non-oestrus days. This study demonstrates the value of monitoring rumination time alongside activity metrics for oestrus detection. The proposed automated oestrus alert system using sensor data can improve reproduction management on dairy farms. Further research with larger cow populations and additional farm management factors is warranted to optimize prediction models.