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. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Chinese Journal of Evidence-Based Medicine Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Kexue Tongbao/Chinese Science Bulletin Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
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:
The experiment was conducted during 2019–2020 at SHUATS, Prayagraj, with 17 genotypes of pigeonpea and one control variety (encoded with G1 to G17) taken from IIPR, Kanpur (U.P.). Prior to storage, the seeds were treated with mustard oil (T1) and carbendazim (T2) and stored for up to twelve months. The untreated seeds (T0) were used as the control. Under controlled laboratory conditions, 51 treatment combinations were tested using a Complete Randomized Block Design (CRD) with 4 replications for seed quality attributes and seed health status during storage (6 and 12 months, respectively). After the storage period, seeds were evaluated in terms of their qualitative attributes and health status. The highest percentage of germination, seedling parameters, vigour indices, and a low incidence of disease were determined by the mean sum of squares of treatment combination T47 (T2G13), which demonstrated significant differences for the given characteristics under this investigation at the 5% level of significance. The loss of seed (Vigour, Viability, and Nutrients) during storage is a serious problem due to infection and deterioration, which results in low germination, poor health, and poor seed set/production. This phenomenon can be checked & stopped at a certain level by various treatments that prevent seed deterioration. The study revealed that mustard oil had little influence on quality attributes and seed health, whereas carbendazim had the greatest effect on all of these characteristics.
Wheat based cropping system is one of the major cropping system of India responsible for meeting food requirement of the millions. Wheat (Triticum aestivum L.) is one of the leading cereal crop among all the food grains for the majority of the country’s population. India is the second largest producer of wheat. The present study was conducted in Nainital district in Uttarakhand. The state ranks at ninth place in the country in terms of Wheat production. Wheat is the most dominant crop of Nainital district yet it produces only 7.95 percent (0.07 million tonnes) of the total wheat production in Uttarakhand. Primary data used in the study was collected from 90 sample farmers. Three major cropping systems namely, CS I (Rice-Wheat), CS II (Maize-Wheat), CS III (Soybean-Wheat) were taken for the study. The study aimed to examine the socio-economic status, resource use efficiency of wheat based cropping systems and constraints faced by the sample farmers. Average size of cultivated land was 1.13 ha. The value of MVP/MIC for seeds (2.008), FYM (1.828), PPC (4.474), machine power (1.004) came out to be greater than unity indicated under utilization of these resources for the CS I. In CS II the value of MVP/MIC for fertilizers (-2.501) and machine power (-2.847) were less than unity implies that these resources were over utilized. However, for FYM and PPC value of MVP/MIC came out to be 7.313 and 9.973. In case of CS III seeds (28.80), FYM (5.59), PPC (4.35) and machine power (1.41) values MVP/MIC came out to be greater than unity indicated the under utilization of these resources. While, in case of irrigation (-26.50) it was less than unity revealed the over utilization of resources. The study revealed that problems of rats and rodents, pest and disease attack, high machinery cost, problem of wild animals were major constraints faced by the sample farmers.
This comprehensive study delves into the intricate dynamics of three Integrated Farming System (IFS) models implemented in the Ri-Bhoi District of Meghalaya, India, focusing on Marngar and Sarikhusi villager clusters under the Farmers' First Programme (FFP). Spanning the years 2017 to 2023, these models, designated as IFS I, IFS II, and IFS III, integrate various agricultural enterprises, including fishery, poultry, piggery, dairy, crops, goatery, and mushroom farming. The results reveal a remarkable transformation in the economic landscape for small and marginal farmers adopting these IFS models. In the case of IFS I, covering a 2.47-acre farm, the annual gross income surged from Rs. 1.73 lakhs to an impressive Rs. 6.23 lakhs post-intervention. IFS II, operating on a 1.4-acre farm, showcased the effectiveness of integrating diverse enterprises. The model, incorporating piggery, fishery, poultry, duckery, crops, goatery, and mushroom farming, demonstrated a commendable average annual gross income of Rs. 3.60 lakhs. In the case of IFS III, which encompassed crops, fishery, poultry, and piggery on a 1.10-acre farm, the results indicated an almost twofold increase in annual gross income compared to the baseline. The benefit-cost ratio for IFS III was calculated at 2.38, affirming its profitability. The implications of these findings extend beyond the specific regions studied. Policymakers and agricultural extension services can leverage these insights to design and implement similar interventions in diverse agro-ecological contexts, aiming to promote sustainable agricultural practices. The success of these IFS models suggests a scalable and replicable approach that could contribute to holistic agricultural development and poverty alleviation in various rural settings.
Land use management exerts a tenacious impact on soil organic carbon (SOC) dynamics; however, the impact varies with climate, soils, and management practices. Therefore, an in-depth understanding of changes in SOC pools and its fractions is necessary to adopt efficient land use planning to reduce carbon (C) emissions for sustainable soil management in the N Eastern region of India. The present study was planned accompanying with six land use viz., L1 (Rice-Wheat-Moong), L2 (Rice-Lentil-Moong), L3 (Rice-Chickpea-Moong), L4 (Rice- Maize), L5 (Rice -Potato-Maize) and L6 (Maize-Wheat-Moong), respectively. The representative soil samples in a four replication were collected and analyzed through standard procedure. The findings of this study revealed that the soils of the study area belong to the silty clay textural class content, and various carbon fractions were observed in decreasing trends viz., Non-labile (NL)>Less-labile (LL)>Labile(L)> and Very-labile (VL), respectively. The maximum accumulation of organic carbon fraction was observed at surface layer (0-5cm) due to exiistance of voluminous fine root compared to sub surface layer except SIC (soil inorganic carbon) fraction. Meanwhile, inclusion of legume in cereal based cropping system play key role to enhance TOC (Total Organic Carbon) in the soils. Whereas, in case of biological attributes, dehydrogenase (DHA) activity varied from 32.13 to 30.57 µg TPFg-1 soil hr-1, and highest level of activity was observed in the surface layers. Flurorescine diacetate (FDA) activity and MBC varied from 20.86 to 17.52 mg fluorescein g-1 soil hr-1 and 128.63 µg g-1 to 136.20 µg g-1.
The present study was carried out in Haryana, India, to delineate the association between the adoption of the Guava cultivation practices and the independent variables of the farmers adopting guava cultivation. Personal conversations with the farmers served as the method for gathering the data. The sample size for the study contained 120 respondents. Analysis methods used to examine the study data included correlation, multiple regression, frequency, percentage, WMS, and rank. The selected independent factors accounted for 22.90% of the variation in the farmers' adoption of guava farming techniques., according to the coefficient of determination (R2). Some constraints were faced by the farmers, viz., fluctuations in market prices, high post-harvest losses, chances of theft, threats from wild and stray animals, and poor marketing in the local area. Overall, the study suggests that the government should establish proper cold storage facilities, provide MSP to all horticultural crops and establish proper marketing channels in rural areas.