WOS Indexed (2023)
clarivate analytics

AMA, Agricultural Mechanization in Asia, Africa and Latin America

Submission Deadline
26 Sep 2023 (Vol - 54 , Issue- 09 )
Upcoming Publication
30 Sep 2023 (Vol - 54 , Issue 09 )

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

Design and Fabrication of different electric and solar traps for Musca domestica (House fly) and field evaluation of traps in poultry unit

Paper ID- AMA-18-07-2023-12442

In the present study, different electric and solar traps for house flies using food baits as lures were fabricated and the field efficacy of the traps was evaluated in poultry units. Six different traps were designed and tested for their efficacy in luring and killing house flies. They were electric trap 6V, solar trap 6V, solar trap 12V, cylindrical solar trap, bilateral solar trap and inverted cone solar trap. All six traps were provided with electric grid for killing the trapped flies. Traps were deployed at ground level in fly infested areas in the poultry units at the layer breeder house at Poultry Research Station, Madhavaram, Chennai. The testing of each trap was repeated six times. Unbaited traps were used as control. Number of trapped flies was counted. The solar trap 12V was found to be most effective when compared to solar trap 6V and electric trap 6V. Out of the total 11065 flies trapped, 54.91 per cent (6076 flies) were trapped in the 12V solar trap followed by 35.58 per cent (3937 flies) in solar trap 6V and 9.50 per cent (1052 flies) in electric trap 6V. Variation in trap catches using electric trap 6V, solar trap 6V and solar trap 12V was highly significant statistically (χ2 value = 5170.24** p<0.01HS). The cylindrical solar trap, bilateral solar trap and inverted cone solar trap were comparatively less effective in trapping flies.

Assessment of Chemical Characteristics of Pumpkin-Mango Blended Toffee During Storage

Paper ID- AMA-18-07-2023-12441

An experiment was carried out for preparation of blended toffee from pumpkin-mango at Division of FST, SKUAST-Jammu. Pumpkin and mango pulp were blended in the ratio of 90:10, 80:20, 70:30, 60:40, 50:50 and 100% pumpkin toffee as control. The prepared toffees were wrapped in butter paper followed by coloured polypropylene sheets and then packed in laminated pouches and stored at room temperature for three months. The blended product was monitored regularly for three months at ambient conditions at an interval of one month. The chemical composition indicated that the fresh toffees contained on an average of TSS (78.98 0Brix), titratable acidity (0.65 per cent), ascorbic acid (10.86 mg/100 g), β-carotene (7.72 mg/100 g), reducing sugar (24.85 per cent), total sugar (62.51 per cent), crude fibre (1.42 per cent) and crude protein (2.73 per cent). The studies indicated that the TSS, reducing and total sugars increased while acidity, ascorbic acid, β-carotene, crude fibre and crude protein decreased with the advancement of storage period. Among various combinations of blended pumpkin and mango toffee; 70:30: Pumpkin: Mango toffee was found to be better than other combinations on the basis of overall acceptability.

Genetic association and multivariate analysis for precise selection of elite genotypes among indigenous genotypes of bread wheat

Paper ID- AMA-17-07-2023-12439

Wheat is a rich source of vegetarian protein and carbohydrates; therefore is widely consumed by the majority of the world population. The superiority of yield and component traits facilitates improved productivity of food crops. Therefore in the present study, 72 genotypes along with three checks were evaluated for grain yield and contributing traits. The analysis of variance revealed that variance due to genotypes was highly significant for biological yield per plant (BY/P) (50.01), numbers of grains per spike (G/S) (118.51), grains yield per plant (GY/P) (27.69), days to maturity (DM) (23.34), the days to 50% flowering (DF) (16.43), and ear length (EL) (1.71). High heritability in a broad sense (h2(b)) associated with high genetic advance as percent mean (GAM) was observed for BY/P (h2 (b): 75.19% & GAM:42.37%), G/S (h2 (b):63.39%& GAM:21.52%) and GY/P (h2(b):59.47% & GAM:39.69%) respectively. Correlation analysis revealed that most of the studied yield component traits showed a significant positive correlation with GY/P. Based on path coefficient analysis, BY/P (0.825) and harvest index (HI) (0.553) were found to have significant direct effects on GY/P. The principal components analysis (PCA) five principal components (Eigenvalue≥1) accounted for 77.11% commutative variance. Clustering analysis classified the wheat genotypes into nine clusters where inter-cluster Euclidean distances varied from 18.79 to 174.38. Considering all studied characters, two genotypes namely SR-111 and SRW-41 emerged as the best genotypes and showed significantly higher performance as compared to commercial checks and other genotypes. The precise selection of high-yielding genotypes accelerates the yield production of wheat.

Quality studies on twenty genotypes of Mango under Western Odisha condition

Paper ID- AMA-16-07-2023-12433

The present investigation entitled “Quality studies on twenty genotypes of Mango under Western Odisha condition” was carried out at experimental plot, College of Horticulture, Chiplima, during 2019-20 and 2020-21. The experiment was laid out in Randomized block design with twenty treatments (varieties) and replicated thrice. The mango plants were planted at a spacing of 5 m × 5 m. Observations on different quality parameters of fruits were taken during the experiment period in all the twenty cultivars of mango studied. Different fruiting characters under the study were found statistically significant. Maximum fruit breadth, fruit weight, fruit volume, peel weight and stone weight is obtained in Banganapalli (9.1cm, 310.65g, 315ml, 73.2g, 45.56g) respectively. Highest pulp weight, pulp: stone ratio and pulp percentage was obtained in Mallika (212.93g), Dashehari (7.83) and Arka Aruna (78.16) respectively. The data revealed that highest TSS: acid ratio (62.55), total sugar (11.87%), reducing sugar (7.86%) and protein(1.25mg/100g) content were obtained in Amrapali whereas highest ascorbic acid (34.36 mg/100g) and amino acid (0.92mg/100g) was obtained in Mallika. In respect of other qualitative parameters, Amrapali, Mallika and Dashehari were found to be the best compared to the other varieties. showed better performance during the period of investigation.

Rice Genotypes for Improved Yield Attributes, Yield, and Grain Yield Efficiency Index in Irrigated Lowlands of the Indo- Gangetic Plains: A Field-Based Evaluation

Paper ID- AMA-15-07-2023-12429

Rice is a heavy user of nitrogen (N) fertilizers. In India, to feed the growing popu- lations, it has been suggested that N fertilizer consumption would need an increase of approximately 24 million tons in 2030 compared with 2022; the current total N fertilizer consumption (year 2022) is around 18.86 million tons [1,2]. India’s production of rice (milled rice) increased from 53.6 million tons in the fiscal year 1980–1981 to 120 million tons in the fiscal year 2020–2021 [3]. In soil, more than 40–50% of the applied N is lost through different mechanisms, such as ammonia (NH3) volatilization, denitrification to nitrous oxide (N2O) and dinitrogen (N2), leaching and runoff [4–6]. These losses not only reduce the yield and economic efficiency of applied N [7], but also cause grave environmental consequences [8,9]. Due to the expansion of cultivation areas, the introduction of new cultivars, and the use of chemical fertilizers, rice yield has increased during the past 50 years, keeping pace with the world’s population growth [10]. Nevertheless, the N use efficiency (NUE) of applied N is still low [11–13], which not only causes climate-change-related issues, air, and water pollution,  but also causes increases in the cost of production, given the waste of N as a valuable resource [11,14]. Therefore, it is important to reduce the loss of N from agricultural land [11], and there is a need for more attention to the identification and performance of N-efficient genotypes. Rice is the key staple food for the world’s poorest and undernourished people living in Asia and Africa as they cannot afford—or do not have access to—nutritious foods [15]. In the next 20 years, the world population is expected to increase by about two billion, and in Asia alone, to increase by around half of the world population [16]. A report by the CGIAR System [17] notes that with the expected growth in population and income and a decline in rice acreage, global demand for rice will continue to increase from 479 million tons of milled rice in 2014 to between 536 million and 551 million tons in 2030, with little scope for the easy expansion of agricultural land or irrigation. Furthermore, rice is a semi-aquatic plant and generally grows under flooded conditions, which makes it unique [18,19]. Special difficulties in managing N arise from this preferred habitat, including significant losses of N to water. Numerous studies were conducted before the 21st century to improve rice nitrogen use efficiency (NUE) and yield [20–22]. Their findings showed that nutrient-efficient cultivars under field conditions can help design selection regimes and identify useful traits that are important for screening N-efficient genotypes. The knowledge of the genotypes’ traits that increase NUE can be combined with the best N management practices, which would help contribute to economically viable and environmentally sustainable systems globally [23]. Different levels of N input (low, medium, high) in experimental studies have shown that significant variability is present for the use, uptake, and utilization efficiency of N. Hence, these aspects are the main areas where researchers can evaluate the response of existing genotypes at various levels of N. A number of agronomic factors in crop growth cycles affect performance and overall NUE, including the optimum N rate, appropriate N source, and timing of N application [11]. Thus, the combination of N-efficient genotype development with the best management practices is therefore an important path for various stressed ecosystems around the world. It has often been shown that rice NUE, which integrates physiological and soil N supply capacities, decreases with increasing N supply in the soil [24]. To identify the appropriate breeding strategies, the germplasm must be evaluated for physiological variability in NUE [25], genotype interaction with N inputs, and different levels of N based on precise selection. Therefore, in the present study, we assessed the response of rice genotypes with different levels of N for several rice genotypes, where rice was fertilized with neem-oil-coated urea according to the regulatory requirements of India. Our experimental trials were based on the new idea of screening rice genotypes for a higher NUE. The main objectives were to: (i) evaluate the growth and yield components of rice genotypes under control versus half and recommended N supplies; (ii) investigate the differences between rice cultivars in terms of economic yield and harvest index; (iii) screen the rice genotypes based on the grain yield efficiency index.