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WOS Indexed (2023)
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. 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
09 Dec 2023 (Vol - 54 , Issue- 12 )
31 Dec 2023 (Vol - 54 , Issue 12 )
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
Impact on uptake in Fe content of RKN infected chickpea varieties induced with bio agent Pseudomonas fluorescens.
Cicer arientinum L. commonly known as chickpea is one of India's most important pulse crops, accounting for 38% of the range and 50% of pulse production when compared to the overall beat generation. Chickpeas include 2.1 percent protein, 61.5 percent carbs, 4.5 percent fat, and higher levels of press, calcium, and niacin. The most significant burden of chickpea generation owing to parasitic nematodes (Meloidogyne incognita) is around 14 percent of total global generation in annual abdicate hardship. Pseudomonas fluorescens might be a bacterial bio-agent that aids worm camouflage in chickpea plants. This test was carried out to see in case there were any contrasts in press substance between chickpea immunized with M. incognita and a combination of Pseudomonas fluorescens as a bioagent, where distinctive treatments of nematode, microscopic organisms, and chemicals are utilized to support disease resistance in chickpea cultivars RSG 974, GG 5, and GNG 2144. The full press substance of chickpea assortment GNG 2144 was found to be most prominent within the treatment where as it were microscopic organisms (P. fluorescens) were tainted, i.e., 13.56 mg/100g of a root, taken after by GG 5, i.e., 12.47 mg/100g of root, and RSG 974, i.e., 10.69 mg/100g of root. The utilize of Pseudomonas fluorescence, either in combination or alone, consistently raised the Fe substance within the roots of chickpea plants, i.e., RSG 974 (40.47 %), GG 5(49.16 %), GNG 2144 (58.17 %) compared to the health check.
Milk Production Management of Ruminant Animals in Bhilwara District of Rajasthan
The present study was undertaken to find out the cost and returns of milk production in Bhilwara district of Rajasthan with a sample of 60 households. Milk production in India is mainly concentrated on small farms in rural area as a subsidiary occupation to agriculture. Dairy plays an important role to improve the economy of small milk producer’s households in different regions of India. India is leading country in milk in world with production of 176.35 million tonnes in 2017-18 and Rajasthan is the second largest milk producing state with 834 gm/day in the country. The results of study revealed overall average net cost per day was ₹ 154.09 for crossbreed cow, ₹ 106.20 for local cow and ₹ 136.36 for buffalo, respectively. The cost of milk production per litre for crossbreed cow, local cow and buffalo were found as ₹ 22.05, ₹ 33.29 and ₹ 29.26 respectively. The gross return was recorded as ₹ 202.48 for crossbreed cow, ₹ 114.84 for local cow and ₹ 194.05 for buffalo, respectively.
Studies on Genetic Variability and Character Association in Mustard for Seed Yield and its Contributing Characters
The current study used thirty mustard genotypes to evaluate the genetic variability, heritability, and genetic advance as a percentage of the mean. During Rabi 2020-21, all thirty genotypes were evaluated in a randomised block design with three replications. For all the features, analysis of variance revealed a significant level of variability across the genotypes, indicating a broad range of variability across the genotypes. Number of secondary branches per plant recorded the highest PCV and GCV followed by number of siliquae per plant, seed yield per plant, number of seeds per siliquae, number of primary branches per plant. This suggested that the environment had the least impact on the manifestation of these features. For all of the qualities, the difference between GCV and PCV values was obtained at low. This suggested that the prevalence of additive gene effects for these characters, and hence selection based on these qualities, might be profitable. High heritability coupled with high genetic advance as per cent of mean were observed for days to 50% flowering, plant height, number of primary branches per plant, number of secondary branches per plant, length of main raceme, number of siliquae on main raceme, number of siliquae per plant, length of siliqua, number of seeds per siliqua, 1000 seed weight, biological yield per plant, seed yield per plant and harvest index. Days to 50% flowering, days to maturity, number of primary branches per plant, number of secondary branches per plant, number of siliquae per plant, 1000 seed weight, biological yield per plant and harvest index has shown positive and high significant association with seed yield per plant, while negative and highly significant in length of siliquae and number of seeds per siliqua with seed yield per plant. Path analysis revealed that positivedirect effect on seed yield per plant per plant was observed by days to 50% flowering, plant height, number of siliquae per plant, number of seeds per siliqua, 1000 seed weight, biological yield per plant, harvest index. Whereas days to maturity, number of primary branches per plant, number of secondary branches per plant, length of main raceme, number of siliquae on main raceme, length of siliqua, oil content has shown the negative direct effect on the seed yield per plant. As a result, these traits should be prioritised in the selection of high-yielding mustard genotypes.
Effect of herbicidal treatments on the seed quality parameters and yield of Pearl millet
A laboratory experiment was conducted at Seed research farm of CCS Haryana Agricultural University, Hisar, Haryana during Kharif 2017. Observations on test weight, seedling length, seedling dry weight, seedling vigour index I, seedling vigour index II, grain yield, stover yield and biological yield of pearl millet were recorded. Different herbicides were applied to pearl millet plants in field plots. Treatments varied from hand weeded to pre emergence herbicides to post emergence herbicides. Pearl millet seeds were harvested and evaluated for different seed quality parameters. Herbicides had little effect on seed quality parameters such as test weight, percent germination, seedling length, seedling dry weight, seedling vigour index I and seedling vigour index II. Tembotrione 80g/ha PoE at 2-4 leaf/10-15 DAS + 1 HW at 30 DAS was found most effective which was at par with tembotrione 100g/ha PoE at 2-4 leaf/10-15 DAS + 1 HW at 30 DAS, two HW/hoeing at 15 and 30 DAS, atrazine + pendimethalin (0.4+0.75 kg/ha) PRE + 1HW at 21 DAS, pendimethalin 0.75 kg/ha PRE + 1HW at 21 DAS, atrazine 0.4 kg/ha PoE (10-14 DAS) + 1 HW at 30 DAS and atrazine 0.4 kg/ha PRE + 1HW at 21 DAS. Herbicides treatments with one hand weeding gave better results than sole herbicidal treatments.
Mapping of Rice Crop using Synthetic Aperture Radar (SAR) Data
Rice crop support the food need of billions of peoples and thus up-to-date and early statistics of acreage is essentially needed. Current study is being taken up to map the rice acreage for whole Haryana state covering a total of 4421200 ha area. Sentinel-1 SAR data were used for the mapping of Rice crop. A total of 28% of the state geographical area was found under the Rice coverage with a mapping accuracy of 90% using Maximum Likelihood (MXL) classification algorithm. Though the acreage was found to be less as compared to the statistical report of the year 2019 an early forecasting and yield assessment is possible using the current approach especially in monsoon season.