Book Title: Quantitative Genetics for Plant Breeding

Authors: Walter Suza (Editor); Kendall Lamkey (Editor); William Beavis; Katherine Espinosa; Mark Newell; and Anthony Assibi Mahama

Book Description: 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.

License:
Creative Commons Attribution NonCommercial

Contents

Book Information

Book Description

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.

Authors

Walter Suza (Editor); Kendall Lamkey (Editor); William Beavis; Katherine Espinosa; Mark Newell; and Anthony Assibi Mahama

License

Icon for the Creative Commons Attribution-NonCommercial 4.0 International License

Quantitative Genetics for Plant Breeding Copyright © 2023 by Walter Suza (Editor); Kendall Lamkey (Editor); William Beavis; Katherine Espinosa; Mark Newell; and Anthony Assibi Mahama is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.

Subject

Agronomy and crop production

Metadata

Title
Quantitative Genetics for Plant Breeding
Authors
Walter Suza (Editor); Kendall Lamkey (Editor); William Beavis; Katherine Espinosa; Mark Newell; and Anthony Assibi Mahama
License

Icon for the Creative Commons Attribution-NonCommercial 4.0 International License

Quantitative Genetics for Plant Breeding Copyright © 2023 by Walter Suza (Editor); Kendall Lamkey (Editor); William Beavis; Katherine Espinosa; Mark Newell; and Anthony Assibi Mahama is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.

You are free to copy, share, adapt, remix, transform, and build upon the material, so long as you follow the terms of the license.

How to cite this publication:

Suza, W., & Lamkey, K. (Eds.). (2023). Quantitative Genetics for Plant Breeding. Iowa State University Digital Press.

This is a publication of the
Iowa State University Digital Press
701 Morrill Rd, Ames, IA 50011
https://www.iastatedigitalpress.com
digipress@iastate.edu

Primary Subject
Agronomy and crop production
Additional Subject(s)
Genetics (non-medical)
Publisher
Iowa State University Digital Press
Publication Date
October 18, 2023
Digital Object Identifier (DOI)
https://doi.org/10.31274/isdup.2023.146