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
Genetic association and multivariate analysis for precise selection of elite genotypes among indigenous genotypes of bread wheat
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
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
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.
WAYS OF DOUBLING FARMER’S INCOME
INTRODUCTION All the nations facing problems of poverty, hunger and malnutrition will need to accelerate their agricultural growth for achieving sustainable development goal (SDGs), especially while aiming at no poverty, zero hunger and safe environment for all (Paroda, 2017). Income is the most relevant measure to assess farmers' economic well being and sectoral transformation. The crises and distresses plaguing the sector endanger the very livelihoods and welfare of the farmers. Indian Government with the intention giving enough policy thrust on income security, proposed to double the farmers' income by 2022, platinum jubilee year of the Indian independence. The present study analysed the current status of farmers' income across holding size and regions and attempted to decipher the scope and pathways for doubling income through potential drivers. The findings from the National Sample Survey Office (NSSO) data indicated that the share of income has increased drastically from 5 per cent to 12 per cent in the case of livestock farming, 45 per cent to 48 per cent in crop production, while that of the wages and non-farm have declined between 2003 and 2013. The challenges faced by the farming community in the coming years have been highlighted for devising relevant pathway and strategies to enhance the income. Yield enhancement followed by cost reduction, fair price realisation and risk adaption has been identified as the potential pathway for doubling income. Farmers' income from crop production, livestock farming, wages and non-farm activities is an outcome of synergy and convergence between technology, extension, institutions and policies to achieve the set target. Indian agriculture needs a relook with a special focus on farm income through productivity/efficiency enhancement coupled with cost reduction, better price realisation and income risk coverage to be on the track of Doubling Farmer’s Income. The strategies for doubling the income focusing on IFS, New technologies, Innovations in Extension, diversification / intensification / pest and disease management in vulnerable regions, and cost reducing technologies. Thus, it can be concluded that integrate investment and leadership in science & technology, extension, institutions and policy interventions to doubling farmer’s income
Role of silicon in rice for productivity, grain quality and stress alleviation
Rice yields are either declining or stagnating in post green revolution era mainly due to imbalance in fertilizer use, soil degradation, mono-cropping and lack of suitable rice genotypes for low moisture adaptability, insect-pest and disease resistance (Prakash, 2010). This has led to the depletion of many plant nutrients including silicon. Though being the 2nd most abundant element in the earth crust (28%), many soils contain an inadequate supply or are naturally low in plant available silicon. Highly weathered tropical and subtropical soils typically oxisol and ultisol under intensive rice cropping are generally low in available Si content due to weathering, heavy desilication and crop removal (Haynes, 2017). Silicon is considered as a beneficial element for healthy growth and development of rice crop (Liu et al., 2013) and absorbed in large amounts that are several-fold greater than those of the other macronutrients (Savant et al., 1996). Si strengthens the plant, protects the plant against pests and diseases, increases crop production and quality, stimulates active immune systems of plants, increases plant nutrition, increase plant salt resistance and neutralizes heavy metal toxicity in acid soils. Si fertilizer has a double effect on the soil– plant system. Through strengthens plantprotective properties and reducing metal toxicity (Rao et al., 2017). Jawahar et al, (2015) reported decreased dead heart and white ear percent with different sources of silicon. In addition, silicon can enhance the grain quality of rice by reducing As (Gang et al. (2018) in grain and Pb content in rice plant (Gu et al., 2011). Silicon can prove to be essential component in intensive rice cultivation under high nitrogen by preventing drooping of leaves and lodging of the plant. Rice is a silicon accumulator, so adequate attention should be given to silicon nutrition. Silicon management portfolio includes silicon fertilization and recycling of silicon in rice crop residues. Therefore, Silicon management is essential for sustaining rice productivity in tropical and subtropical soils