DESCRIPTION OF COURSES
AG 602 EXPERIMENTAL TECHNIQUES IN AGRONOMY (2L+2P) II
To teach methodology of planning, layout, data recording, analysis, interpretation and report writing of agronomic experiments
Historical aspects, principles and practices of field experimentation
Identification of research problem and preparation of research project proposal. Presentation of data and report writing.
Planning of experiments, recording of data - before layout of experiment, during crop growth and after harvest. Selection of experimental design, layout of experiment, number of treatments / replications, plot size, border effect etc. Techniques for increasing the precision for an experiment.
Interpretation of data from weed control, irrigation, fertilizer and cropping system experiments. Interactions in factorial experiments.
Contrast analysis, pooled analysis and data transformation. Evaluation of direct, residual and cumulative effects of treatments.
Correlation and regression analysis, and their application. Energetics and economic analysis.
Analysis of data of typical agronomic experiments. Nutrient and water balance sheets. Statistical softwares and their application.
Practical considerations in field experimentation. Practical use of softwares in agricultural research and analysis of data. Analysis of data of field experiments. Use of excel in data analysis. Statistical analysis of data using MSTATC. Calculation and interpretation of interaction of factorial experiments. Calculation of direct, residual and cumulative effects of treatments in cropping systems. Exercise on confounding designs. Exercise on contrast analysis. Exercise on data transformation. Exercise on missing plot analysis. Exercise on pooled analysis of data over years/locations. Exercise on linear regression equation. Exercise on quadratic regression equation. Exercise on computation of energy requirement in agricultural production. Economic analysis of field crop production. Exercise on determination of optimum economic dose of fertilizers. Exercises on interpretation of data from different types of experiments.