Quantitative Methods for Plant Breeding

by Walter Suza and Kendall Lamkey

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This open textbook covers common statistics used in agriculture research, including experimental design in plant breeding and genetics, as well as the analysis of variance, regression, and correlation.

Description from LibreTexts.

Publisher
Iowa State University
Subjects
Biology, Agriculture and Horticulture
Licence
CC BY-NC 4.0, as LibreTexts states it. Non-commercial use only.
Who can read
Tweens profiles and older, judged from its title and subjects

Contents

LibreTexts writes equations in TeX, and here they show as TeX; the PDF has them typeset.

  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Licensing
  6. About the PBEA Series
  7. Contributors
  8. 1: Chapters
  9. 1.1: Basic Principles
  10. 1.2: Distributions and Probability
  11. 1.3: Central Limit Theorem, Confidence Intervals, and Hypothesis Tests
  12. 1.4: Categorical Data - Binary
  13. 1.5: Categorical Data Multivariate
  14. 1.6: Continuous Data
  15. 1.7: Linear Correlation, Regression and Prediction
  16. 1.8: The Analysis of Variance (ANOVA)
  17. 1.9: Two Factor ANOVAs
  18. 1.10: Mean Comparisons
  19. 1.11: Randomized Complete Block Design
  20. 1.12: Data Transformation
  21. 1.13: Multiple Regression
  22. 1.14: Nonlinear Regression
  23. 1.15: Multivariate Analysis
  24. 1.16: Algebra Review Guide
  25. 1.17: Applied Learning Activities
  26. Back Matter
  27. Index
  28. Glossary
  29. Detailed Licensing