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NIPA GENX ELECTRONIC RESOURCES & SOLUTIONS PRIVATE LIMITED

© 2020 NIPA GENX ELECTRONIC RESOURCES & SOLUTIONS. All Rights Reserved

Statistical Methods for Agricultural Field Experiments (Hardback, Vijay Katyal & B.Gangwar)

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ITC-HSN: 49011010

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Country Of Origin : India

The book comprises a total of twelve chapters, each addressing a specific aspect of experimental design in agriculture. Chapter I focuses on terminology related to experimental design, while Chapter II delves into completely randomized block design and randomized block design for agricultural experiments in the field. Chapter III is devoted to factorial experiments in randomized block design involving two or more factors. Chapter IV deals with partially confounded and fully confounded factorial experiments, and Chapter V focuses on split plot design and strip plot design, which are more cost-effective options. Chapter VI is devoted to repetition of experiments over years, with sampling in agricultural trials at cultivator fields. Chapter VII explores the sustainability of crop sequences and treatments, while Chapter VIII delves into the analysis of trials at cultivators fields. Chapter IX deals with sampling techniques, and Chapter X is concerned with correlation and regression studies.

  • Additional Information

    The book Statistical Methods for Agricultural Field Experiments covers twelve chapters, addressing experimental design, statistical methods, sampling, sustainability, agronomy, and farming systems research.


    Contents


    1. Terminology in experimental design. 2. Completely randomized design and randomized block design. 3. Factorial experiments. 4. Confounded factorial design. 5. Split-plot and strip-plot design. 6. Repetition of experiments over years. 7. Analysis of sustainability of crop sequences / treatments. 8. Selection of cultivators. analysis of farm experiments. 9. Sampling techniques. 10. Correlation and regression. 11. Agronomic considerations and synthesis of system based results.12. Methodology and procedures for farming systems research.

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