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 Kongzhi yu Juece/Control and Decision 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) Tobacco Science and Technology
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:
Brassica are economically most important genus consisting of oilseeds, vegetables and forage crops. Brassica juncea L. commonly known as Indian mustard. The present study was carried out with 7-parents/strains (Varuna, Vardan, Basanti, Maya, NDR-8501-19, PR-21-15 and TPM-1) and 21crosses were obtained through diallel mating design (excluding reciprocal crosses). Total 28 genotypes (21 F1 + 7 parents) were investigated for 11 traits viz. days to 50% flowering, days to maturity, plant height (cm), length of main raceme (cm), number of primary branches per plant, number of secondary branches per plant, number of siliquae per plant, 1000-seed weight (g), protein content (%), oil content (%), and seed yield per plant (g). The estimates of average degree of dominance indicated presence of over-dominance for all traits. The variety Basanti and Varuna were found best general combiners in case of oil content in percent. The cross Basanti x PR-21-15 were found to be best for SCA for yield whereas, NDR-8501-19 x TPM-1 for oil content. Heterosis was observed in Vardan x PR-21-15 over better parent, while Maya x NDR-8501-19 showed heterosis over economic parent for yield.
G × E interaction is major cause of discrepancy in crop yield under different environments. International Rice Research Institute (IRRI) launched their fourth flagship project on Global Rice Array (GRA-IV) to identify climate resilient rice genotypes. Various non-parametric (Nassar and Huehn’s method, Huehn’s method and Thennarasu’s method), parametric (Wricke’secovalence, Francis and Kannenberg’s coefficient of variance and Eberhart and Russell’s method) and multivariate methods- Additive Main Effects and Multiplicative Interactions (AMMI) had been already designed to differentiate genotypes for their behavior under different environmental conditions. Due to differential ranking of genotypes in different models, the Average of Sum of Ranks (ASR) of all measures was used in combination with Yield Stability Index (YSI) in this study, to identify desirable, high yielding and stable rice genotypes. The present investigation consisted of 26 rice genotypes (from ‘Antenna Panel’- Global Rice Arrays-IV). Genotypes of ‘Antenna panel’ were designed to help in characterization and diagnosis of diversity and dynamics of evolving climate through the eye of the crop and thus predict future grain yield for that growing site. This experiment was carried out over three different environments of Northern tarai region (Norman Ernest Borlaug Crop Research Center), Pantnagar, Uttarakhand, India. Pooled analysis of variance (ANOVA) for grain yield over the three different test environments pointed out the existence of significant differences among genotypes, G (44.32 %), environments, E (8.36 %) and interactive G × E effects (47.32 %). The genotypes G 4, G 6, G 23, G 9 and G 21 were identified as most stable genotypes as they had lowest ASR values of 2.3, 2.7, 4.7, 5.6 and 5.9 respectively. The ASR method in combination with YSI revealed that G4 is the most desirable genotype as it was not only stable but also high yielding; such superior genotypes can be utilized in future breeding programs for numerous benefits.
Lime (Citrus aurantifolia Swingle) is one of the important commercial fruit cultivated in Jammu region. The experiment was conducted to study variability among acid lime genotypes. A survey was undertaken during 2017 to 2019 in five districts of Jammu province. The study comprised of characterization and evaluation of lime genotypes that were identified in different areas. Seventy acid lime genotypes from different areas were selected. The results revealed that maximum tree height (4.2 m) was recorded in genotype JMU-Nag(66). Most of the genotypes were obloid in tree shape with spreading tree growth habit, dense branching habits and narrow branch angle. Among fruit characters maximum fruit weight (56.26 g), fruit diameter (49.57 mm), fruit length (55.70 mm) and total yield (160.28 Kg/tree) was recorded in genotype JMU-Nag(70) whereas width of epicarp at equatorial area (2.50 mm) was recorded maximum in JMU-Log(9). Cluster dendrogram grouped seventy lime genotypes under two main clusters A and B representing the intensity of diversity and closeness among them. Cluster-A had four genotypes and cluster B is further divided into nine sub clusters comprising of sixty-six genotypes. As cluster I comprised of only four genotypes and formed the separate and most distinctive cluster representing JMU-Pana(41), JMU-Jib(36), JMU-Nag(65), JMU-Nag(70) as the most diverse genotypes and can be used for further breeding programme.
This study addresses water-saving irrigation strategies, including regulated deficit irrigation (RDI) at 75% and 50% crop ETc and partial root-zone drying (PRD) at 75% and 50% ETc to investigate the response of the mango (Mangifera indica L.) drip system in the field on a sandy loam soil during years 2017 and 2018. Results revealed that the soil moisture content was recorded maximum in treatment T1(100% ETc) whereas, soil potential was recorded maximum under T10 (no irrigation) during both the years. The maximum fruit weight (206.45 and 208.29 gram), fruit length (10.37 and 10.40 cm), fruit breadth (6.31 and 6.33 cm), fruit volume (213.87 and 216.56 cm3) and specific gravity (1.03 and 1.04 g/cc) were recorded in T7 (PRD 75% ETc + F) during both the years 2017 and 2018, respectively. Mango trees treated with PRD 50% ETc and fertigation recorded maximum TSS (20.42 and 20.50 0Brix), titrable acidity (0.22 and 0.22 %), total sugars (15.25 and 15.30 %), reducing sugars (3.71 and 3.73 %), non reducing sugars (10.96 and 10.99 %). The application of PRD 75% ETc + F resulted in maximum fruit set (0.96 and 0.98 %) and yield (47.02 and 97.11 kg/tree) compared to all other treatments and maximum fruit drop percent was found in treatment (T10) 86.24 and 87.13 %. The maximum water use efficiency was recorded in PRD 50% ETc + F (T9).
A study on the “Self Sufficiency in Fish Production through Biofloc farming for Doubling the Small Holder Farmers’ Income of Manipur” shows that the initial fixed cost incurred in Biofloc farming was found to be Rs. 40000 including the installation charges while the expenditure on variable cost were approximately estimated as Rs. 104200. In totality, a farmer in the study area incurs or spent an amount of Rs. 144200 for undergoing Biofloc farming. Usually the farmers produce 2 crops in a year and each crop or I-crop can harvest upto 600 kg with a gross cost of Rs. 180000 and a net return of Rs. 35800. Thus a Biofloc farmer harvested 1200 kg with an annual net return of Rs. 71600 from the 2 crops on an average. The return over investment for three (3) years for an unit Biofloc farmer shows the increasing return over the period and it was found to be 16.5%, 67% and 71.10% for I; II and III year respectively. Institutional mechanism like low access to financial credit; high cost of fingerlings and their availability, reliability & survivability; high cost of fish feed, lack of extra rearing chambers/ponds during the pre-culture period; lack of tip-top scientific skill and limited fish species for Biofloc farming are ranked as the production problem and issues like price spread; low demand and lack of Govt. policy in the marketing aspects. Proper institutional approach or mechanism of backward linkages for the helpless or marginal farmers in order to invest in such high capital enterprise like Biofloc; better awareness and skill oriented outreached activities from the professional end can grow and develop Biofloc farming in the district.