Experimental Designs for Agricultural Research Workers

authored by: Rakesh Kumar Gupta, Ashu Chandel, Abhinav Kriti Gupta, Geeta Verma & Neha Mishra
Forthcoming
Language: English | Imprint: NIPA

Hardback

ISBN: 9789372196634 | Year of Publication: 2027 | Pages: 440
Length: 152 mm | Breadth: 28.7 mm | Height: 229 mm | Weight: 700 GSM
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EISBN: 9789372196641
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Design of Experiments for Agricultural Research Workers is a comprehensive textbook and reference resource designed to bridge statistical theory with the practical requirements of agricultural experimentation. The book focuses on the planning, design, analysis, and interpretation of agricultural experiments, with particular emphasis on field-based research and treatment comparisons. It introduces fundamental concepts such as experimental units, treatments, replication, randomization, local control, experimental error, uniformity trials, optimum plot size, and plot and block configuration.The book systematically explains analysis of variance (ANOVA) and a wide range of experimental designs, including Completely Randomized Design (CRD), Randomized Block Design (RBD), Latin Square Design (LSD), factorial experiments, split-plot, split-split plot and strip-plot designs. It further covers combined experiments, incomplete block designs, Balanced Incomplete Block Designs (BIBD), lattice designs, Partially Balanced Incomplete Block Designs (PBIBD), and augmented designs.

Advanced statistical topics include analysis of covariance, missing plot techniques, sampling in field experimentation, nested classification, switch-over designs, data transformation, response surface design, non-parametric tests, correlation and regression analysis, and methods specifically relevant to plant breeding. The final chapter addresses Line × Tester analysis, North Carolina Designs, stability analysis and Diallel Analysis.

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Chapter 1. Experimental Design – Basic Terms

Chapter 2. Analysis of Variance

Chapter 3. Single Factor Experiments

Chapter 4. Factorial Experiments

Chapter 5. Split Plot, Split-Split Plot and Strip Plot Design

Chapter 6. Combined Experiments

Chapter 7. Incomplete Block Design

Chapter 8. Analysis of Covariance and Missing Plot Techniques

Chapter 9. Additional Topics

Chapter 10. Response Surface Design

Chapter 11. Non-Parametric Tests

Chapter 12. Correlation and Regression

Chapter 13. Designs for Plant Breeders

agricultural experimental design, design of experiments in agriculture, agricultural statistics, experimental designs, agricultural research methods, analysis of variance, ANOVA in agriculture, randomized block design, completely randomized design, Latin square design, factorial experiments, split plot design, strip plot design, incomplete block design, response surface design, non parametric tests, correlation and regression, plant breeding statistics, statistical analysis in agriculture, field experimentation

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