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Related Concept Videos

Trihybrid Crosses02:27

Trihybrid Crosses

23.5K
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...
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Monohybrid Crosses01:20

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Genetics of Speciation02:16

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Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
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Frequency-dependent Selection

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Hybrid Zones02:29

Hybrid Zones

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Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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A simulation framework for reciprocal recurrent selection-based hybrid breeding under transparent and opaque

Zerui Zhang1,2,3, Lizhi Wang1,2

  • 1Program of Bioinformatics and Computational Biology, Iowa State University, Ames, IA, United States.

Frontiers in Plant Science
|July 13, 2023
PubMed
Summary

This study introduces a simulation framework for hybrid breeding to evaluate different strategies. The framework helps breeders assess methods for improving offspring performance more efficiently.

Keywords:
genomic predictiongenomic selectionhybrid breedingopaque simulatorreciprocal recurrent selection

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Area of Science:

  • Agricultural Science
  • Plant Breeding
  • Genetics

Background:

  • Hybrid breeding enhances offspring performance but is resource-intensive and time-consuming.
  • Evaluating competing breeding strategies requires efficient simulation tools.
  • Reciprocal recurrent selection is a key hybrid breeding process.

Purpose of the Study:

  • To develop a modular simulation framework for reciprocal recurrent selection-based hybrid breeding.
  • To enable breeders and researchers to evaluate the effectiveness of various decision-making strategies.
  • To realistically model the breeding process using transparent and opaque simulators.

Main Methods:

  • Developed a modular simulation framework incorporating heterotic separation, genomic prediction, and genomic selection.
  • Integrated transparent and opaque simulator concepts for realistic breeding process simulation.
  • Simulated and compared the performance of different breeding strategies under various simulator types.

Main Results:

  • The simulation framework allows for efficient evaluation of multiple hybrid breeding strategies.
  • Performance comparisons between different breeding strategies were successfully generated.
  • The inclusion of transparent and opaque simulators provides a more realistic assessment of breeding outcomes.

Conclusions:

  • The developed simulation framework is a valuable tool for optimizing hybrid breeding strategies.
  • It facilitates informed decision-making for breeders aiming to improve offspring performance.
  • The framework supports the efficient exploration of genetic improvement in hybrid breeding programs.