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. Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)
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:
India is the largest producer of vegetables in the world after China. The market-led extension is the market orientation of agriculture through extension, with a blend of economics, which aids in reaching the doorsteps of the farming community with the help of appropriate technologies. The present study was conducted to analyze the constraints faced by the vegetable growers in utilising market-led extension practices in terms of Production, Marketing, and Extension Constraints. Ex-post-facto research design was used for carrying out the study. The study was conducted considering two Districts, namely: Cuttack from Higher Production Potential Districts (HPPD) and Puri from Lower Production Potential Districts (LPPD). The sample for the study was 240. The Garrett ranking technique was used to rank and analyze the constraints in utilising market-led extension practices as perceived by the vegetable Growers. The top most important production constraint was the unavailability of required inputs at required time. Lack of remunerative Price was a major marketing constraint in the Study area. The major extension constraint was the lack of follow-up activities by extension personnel. These findings will be helpful to the Government in formulating a location-specific policy framework and relevant guidelines for promoting vegetable Growers.
Climate change poses a significant threat to the agricultural development in developing countries, where the majority of the population relies on natural-resource-based livelihoods. Further, it also put negative impact on community socio-economic status, quashes progress toward development goals, and poses a general threat to long-term development. In this regard, effective adaptations strategies are crucial for sustainable agriculture and water resources development. Therefore, present study was conducted to identify the climate change adaptation strategies and factors affecting choices of strategies in temperate region of Himachal Pradesh. Multistage random sampling technique was used for the selection of sample of 312 farmers for the collection of primary data. The results revealed that average family size was 5.46 persons and literacy rate was found to be 94.10 per cent in the temperate region. Agriculture was found to be the most common occupation in the study area with 76.44 per cent of sampled farmers engaged in it. Further, it is reported that optimal crop switching, change in cropping calendar, improvement in irrigation practices and crop diversification are the major adaptation strategies adopted by the farmers in the temperate region to mitigate the impact of climate change. However, farmers’ ability to adapt to climate change has been challenged by numerous barriers and high cost of adaptation, lack of access to improved varieties and technologies and limited knowledge on adaptation measures are the main barriers affecting the adaptation measures to climate change in the temperate region.
The present experiment was conducted at Research farm of Rajasthan Agricultural Research Institute, Sri Karan Narendra Agriculture University, Durgapura, Jobner, Rajasthan during Rabi season 2016-17 and 2017-18 using double split plot design with three replications consisting thirty-six treatment combinations, namely, main plots: irrigation levels (0.6 Etc, 0.8 Etc, 1.0 ETc and 1.2 ETc), sub plots: varieties (Raj 4120, Raj 4079 and Raj 4238) and sub-sub plots: Dates of sowing (15th Nov., 30th Nov. and 15th Dec.) treatments. The Results revealed that Info Crop model was calibrated and validated with experimental data of three wheat cultivars (Raj 4120, Raj 4079 and Raj 4238) under different dates of sowing and irrigation scheduling. The model performance was evaluated using average error (Bias), root mean square error (RMSE) Normalized RMSE (nRMSE) and index of agreement (d) and it was observed that there is a good agreement between simulated and measured durations. Based on these results it can be concluded that the model was very accurate in predicting the growth parameters like leaf area index, biomass production and yield and captured the temporal patterns of yield variability reasonably well when compared to observed field data with good accuracy (error % between10-20). It is concluded that the Info Crop model is suitable option to predict wheat yield under semi-arid conditions of Rajasthan.
Horticulture is a vibrant sector of agriculture, distinguished by scale of production, commercialization and emerged as an important source of earning livelihood for small and marginal scale farmers. The knowledge about the impact of climate change on horticultural crops is limited and increasing temperatures and changing weather conditions have harmed apple production, causing serious concern in the state, further forcing apple farmers to switch towards other crops. Therefore, the present study was conducted in high hills of Himachal Pradesh to assess the economic impact of changing climatic scenario on apple cultivation. The study found that the net revenue from apple cultivation was Rs 1.73 lakh, with 11.53 per cent variation in the study area. The results of the ricardian approach reported that the positive quadratic coefficient for minimum temperature and annual rainfall implied that either more or less both climatic variables will increase the net revenue from apple. On the other hand, the negative quadratic coefficient of maximum temperature indicated that there is an optimal maximum temperature level after which net revenue decreases in both directions. Minimum temperature and annual rainfall increased net revenue by Rs 728.56 and Rs 520.08 per 10Celsius increase in minimum temperature and 1 cm increase in annual rainfall, respectively, whereas maximum temperature decreased net revenue by Rs 925.86 per 10Celsius increase in maximum temperature for apple in high hills of Himachal Pradesh.
Genotype × environment interaction and stability parameters were determined for grain yield and its components by planting 52 bread wheat genotypes under normal (E1 and E3) and late sown condition (E2 and E4) during rabi 2019-20 and rabi 2020-21. The pooled analysis of variance for stability revealed that mean squares due to genotypes and environments were found highly significant for all the characters studied when tested against pooled deviation, revealed that significant variations exist among genotypes and environments. G x E interactions were found significant for all the traits studied when tested against pooled deviation, suggested that genotypes interacted significantly in different environments for all the traits studied. For grain yield per plant, genotypes AKAW 4901, K 1317 and UAS 375 recorded higher grain yield per plant and had non-significant regression coefficient as well as deviation from regression, thus, were considered as stable genotypes. Among these three genotypes, AKAW 4901 was also found to be stable for biological yield per plant, also showed stability under favourable condition for number of productive tillers per plant, number of spikelets per main spike, number of grains per main spike and flag leaf area. K 1317 was also found to be stable for 1000 grain weight, also showed stability under favourable environment for number of productive tillers per plant and biological yield per plant, and under unfavourable environment for grain filing period, plant height, spike length, number of spikelets per main spike and number of grains per main spike. UAS 375 was also found to be stable for biological yield per plant, also showed stability under favourable environment for days to 50 per cent heading, and under unfavourable environment for grain filing period, spike length and number of grains per main spike.