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Trihybrid Crosses

Trihybrid Crosses

Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal chance to...

Plant Breeding and Biotechnology

Plant Breeding and Biotechnology

Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.

Monohybrid Crosses

Monohybrid Crosses

Monohybrid Crosses

Monohybrid Crosses

Dihybrid Crosses

Dihybrid Crosses

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Related Experiment Video

Updated: Jul 7, 2026

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

Published on: June 16, 2018

MBP (version 1.0): a software package to optimize maize breeding procedures based on doubled haploid lines.

Gerardo A Gordillo¹, Hartwig H Geiger

¹University of Hohenheim, Institute of Plant Breeding, Seed Science, and Population Genetics, D-70593 Stuttgart, Germany. gordillo@uni-hohenheim.de

The Journal of Heredity

|February 16, 2008

Summary

A new software, MBP (version 1.0), optimizes maize breeding by maximizing genetic gain per year. It uses quantitative genetics to balance breeding strategies, budget, and genetic variance loss for improved hybrid parent lines.

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Area of Science:

Plant breeding
Quantitative genetics
Bioinformatics

Background:

Maize (Zea mays L.) breeding relies on efficient procedures to enhance genetic gain.
Doubled haploid (DH) lines offer a rapid method for developing inbred lines.
Optimizing breeding strategies requires balancing genetic parameters, operational variables, and budget constraints.

Purpose of the Study:

To introduce MBP (version 1.0), a novel software package for optimizing maize breeding.
To enable the maximization of annual genetic gain in maize breeding programs.
To facilitate the integration of recurrent selection and hybrid parent line development.

Main Methods:

Development of MBP (version 1.0) software package.
Implementation of quantitative genetic model calculations.
Inclusion of exact formulae for effective population size prediction.

Main Results:

MBP (version 1.0) maximizes expected genetic gain per year.
The software optimizes breeding procedures considering genetic parameters and operational variables.
It allows for breeding under a restricted annual budget and limited genetic variance loss.

Conclusions:

MBP (version 1.0) provides a powerful tool for optimizing maize breeding strategies.
The software enhances the efficiency of developing hybrid parent lines using DH technology.
It supports sustainable maize improvement by managing genetic variance and budget.