#1
April 13th, 2015, 08:42 AM
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JRF exam syllabus for Agronomy
I have completed M.Sc. in Agronomy and now need the Syllabus for JRF Agricultural And Ecological Research Unit, as I am appearing in this exam so can you please provide me this?
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#2
April 13th, 2015, 02:35 PM
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Re: JRF exam syllabus for Agronomy
Here is the Syllabus of JRF Agricultural and Ecological Research Unit for Group A (Agriculture) 1. Agrometeorology: What is agrometeorology; weather forecasting; water balance model; available moisture index model; factors limiting growth, development and yield of crop as affected by light, temperature, humidity and precipitation. Growth and development in adverse environmental conditions like drought, flood. 2. Basic Agronomy: The inventory of potentialities in a) climate, b) soil types, c) irrigation, d) manure and fertilizers, and e) package of practices, and their utilization. 3. Crop improvement: Mechanism of variability and selection-seed production and distribution, seed testing and certification and storage of seeds-description and variety improvement of cereals (rice, wheat, maize), pulses (gram, pigeon pea, green gram, black gram), oilseeds (rape mustard, groundnut, linseed, sesame) and commercial crops (jute, sugarcane, potato). 4. Crop growth and nutrition: 2 Growth and development in adverse conditions like acidity, salinity and alkalinity of soil. Role of nutrient elements- major and minor. Factors affecting their availability. 5. Soil fertility and water management: Soil fertility problems; role of organic matter, soil reaction and crop rotation in soil fertility; important manure and fertilizers including biofertilizers, their application and behaviour in different soils; soil testing methods and fertilizer recommendation; role of water in plant development and crop production; systems of irrigation and drainage; irrigation requirement of different field crops. 6. Crop husbandry: Advanced studies in the cultural practices of rice, wheat, maize, cotton, jute, potato, forage crops, pulses and oilseeds; economics of crop production; different cropping systems including inter and mixed cropping. 7. Field experimentation: Objects and trends in agronomic experiments; application, layout and analysis of data of principal experimental designs viz. Randomized block, Latin squares, factorial experiments, split-plot and confounding; computation of linear and curvilinear regressions and their uses Syllabus for JRF Agricultural And Ecological Research Unit Group A (Agriculture) Standard: M.Sc. (Agriculture) in Agronomy of Indian University. 1. Agrometeorology: What is agrometeorology; weather forecasting; water balance model; available moisture index model; factors limiting growth, development and yield of crop as affected by light, temperature, humidity and precipitation. Growth and development in adverse environmental conditions like drought, flood. 2. Basic Agronomy: The inventory of potentialities in a) climate, b) soil types, c) irrigation, d) manure and fertilizers, and e) package of practices, and their utilization. 3. Crop improvement: Mechanism of variability and selection-seed production and distribution, seed testing and certification and storage of seeds-description and variety improvement of cereals (rice, wheat, maize), pulses (gram, pigeon pea, green gram, black gram), oilseeds (rape mustard, groundnut, linseed, sesame) and commercial crops (jute, sugarcane, potato). 4. Crop growth and nutrition: 2 Growth and development in adverse conditions like acidity, salinity and alkalinity of soil. Role of nutrient elements- major and minor. Factors affecting their availability. 5. Soil fertility and water management: Soil fertility problems; role of organic matter, soil reaction and crop rotation in soil fertility; important manure and fertilizers including biofertilizers, their application and behaviour in different soils; soil testing methods and fertilizer recommendation; role of water in plant development and crop production; systems of irrigation and drainage; irrigation requirement of different field crops. 6. Crop husbandry: Advanced studies in the cultural practices of rice, wheat, maize, cotton, jute, potato, forage crops, pulses and oilseeds; economics of crop production; different cropping systems including inter and mixed cropping. 7. Field experimentation: Objects and trends in agronomic experiments; application, layout and analysis of data of principal experimental designs viz. Randomized block, Latin squares, factorial experiments, split-plot and confounding; computation of linear and curvilinear regressions and their uses. Group B (Botany/Environmental Science) 1. Structure, function and metabolism of carbohydrates, lipids, proteins, vitamins and minerals; nucleic acids; metabolic pathways; enzymes and coenzymes. 2. Respiration and photosynthesis; protein synthesis; growth promoting plant hormones, response to stress. Principles of taxonomy as applied to the systematics of classification of plant kingdom. 3. Mendelian genetics, recombination; DNA structure, replication, transcription, translation; DNA footprinting; control of gene expression; polymerase chain reaction; recent trends in molecular biology. 3 4. Ecosystem structure, food chain and energy flow, ecosystem diversity, productivity and biogeochemical cycles, limnology; environmental pollution, sustainable development, biodiversity, global change. 5. General laboratory analytical techniques and principles. 6. Basic Statistics and Computation: Descriptive statistics, correlation, simple regression, probability, analysis of variance, Microsoft Excel. Group C (Statistics) Mathematics 1. Functions and relations. Matrices - determinants, eigenvalues and eigenvectors, solution of linear equations, and quadratic forms. 2. Calculus and Analysis - sequences, series and their convergence and divergence; limits, continuity of functions of one or more variables, differentiation, applications, maxima and minima. Integration, definite integrals, areas using integrals, ordinary linear differential equations. Statistics 1. Probability: Basic concepts, elementary set theory and sample space, conditional probability and Bayes' theorem. Standard univariate and multivariate distributions. Transformation of variables. Moment generating functions, characteristic functions, weak and strong law of large numbers, convergence in distribution and central limit theorem. Markov chains. 2. Inference: Sufficiency, minimum variance unbiased estimation, Bayes estimates, maximum likelihood and other common methods of estimation. Optimum tests for simple and composite hypotheses. Elementary sequential and non-parametric tests. Analysis of discrete data - contingency chi-square. 3. Multivariate Analysis: Standard sampling distributions. Order statistics with applications. Multiple regression, partial and multiple correlation. Basic properties of multivariate normal distribution, Wishart distribution, Hotelling's T-square and related tests. 4. Linear Models and Design of Experiments: Inference in linear models. Standard orthogonal and non-orthogonal designs. Inter and intra-block analysis of general block designs. Factorial experiments. Response surface designs. variance components estimation in one and two-way ANOVA. 4 5. Sample Surveys: Simple random sampling, Systematic sampling, PPS sampling, Stratified sampling. Ratio and regression methods of estimation. Non-sampling errors, Non-response. more syllabus detail to atteched a pdf file................ |
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