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Quantitative Genetics for Plant Breeding Walter Suza

Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: Ames, IA Iowa State University Digital Press 2023Copyright date: ©2023Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • QE1
Online resources:
Contents:
About the PBEA Series -- Chapter 1: Gene Frequencies -- Chapter 2: Linkage -- Chapter 3: Resemblance Between Relatives -- Chapter 4: Measures of Similarity -- Chapter 5: Gene Effects -- Chapter 6: Components of Variance -- Chapter 7: Estimates of Variance -- Chapter 8: Mating Designs -- Chapter 9: Selection Response -- Chapter 10: G x E -- Chapter 11: Multiple Trait Selection -- Chapter 12: Multi Environment Trials: Linear Mixed Models -- Chapter 13: Simulation Modeling -- Plant Breeding Basics -- Applied Learning Activities -- Contributors
Subject: This open textbook is intended to expose students to the application of quantitative genetic models to plant breeding populations. Specific topics include conducting and interpreting multi-environment trials, resource allocation using engineering principles, genetic modeling of quantitative traits, simulation modeling, variance, covariance and heritability, prediction, selection, and genetic gain.
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About the PBEA Series -- Chapter 1: Gene Frequencies -- Chapter 2: Linkage -- Chapter 3: Resemblance Between Relatives -- Chapter 4: Measures of Similarity -- Chapter 5: Gene Effects -- Chapter 6: Components of Variance -- Chapter 7: Estimates of Variance -- Chapter 8: Mating Designs -- Chapter 9: Selection Response -- Chapter 10: G x E -- Chapter 11: Multiple Trait Selection -- Chapter 12: Multi Environment Trials: Linear Mixed Models -- Chapter 13: Simulation Modeling -- Plant Breeding Basics -- Applied Learning Activities -- Contributors

This open textbook is intended to expose students to the application of quantitative genetic models to plant breeding populations. Specific topics include conducting and interpreting multi-environment trials, resource allocation using engineering principles, genetic modeling of quantitative traits, simulation modeling, variance, covariance and heritability, prediction, selection, and genetic gain.

Attribution-NonCommercial

In English.

Description based on print resource

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