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.
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:
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.
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.
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.
To study the effect of melatonin during different seasons on some hormonal and physiological responses in goats, twenty four (24) apparently healthy, non-pregnant, non-lactating goats, having approximately similar body weight and age group reared under uniform managemental husbandry practices was selected from Livestock Farm Complex, College of Veterinary Science and Animal Husbandary, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya. The experiments were carried out in spring, summer, autumn and winter seasons in the year 2023. 5 ml/animal blood sample with and without anticoagulant in vials was collected at 0 day, 7 day, 15 day, and 30 day. Anticoagulant added blood was used for Plasma collection. Plasma cortisol, plasma estrogen and plasma progesterone was found significantly (P<0.05) higher in T1,T2 and T3 as compared to control in spring season and similar result was found in summer, autumn and winter season.
Molecular characterization of Sarcocystis fusiformis isolated from semi -arid region of India was done by subjecting the amplified products of 18S rDNA gene (approximately, 900bp) to gene sequencing and RFLP. Two S. fusiformis specific fragments of approximately 768bp and 99bp were seen in all the four PCR products after digestion with restriction enzyme (Dra1). Out of four, gene sequencing results were obtained successfully for one macroscopic, one microscopic and one pellet of bradyzoites which were then submitted in NCBI to receive accession number. Genes of Mathura isolates were aligned with published sequences of Sarcocystis spp. taking Neospora caninum and Theileria annulata as out-groups. Three isolates of Mathura showed more than 99% homology in nucleotide sequence among themselves. Gene sequencing and phylogenetic analysis showed Mathura isolates closer to S. fusiformis isolates of different geographic locations.