Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

18.9K
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.
18.9K
Trihybrid Crosses02:27

Trihybrid Crosses

23.2K
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...
23.2K
Genetic Screens02:46

Genetic Screens

4.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.9K
Dihybrid Crosses01:18

Dihybrid Crosses

74.8K
Overview
74.8K
Monohybrid Crosses01:20

Monohybrid Crosses

230.0K
Overview
230.0K
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.0K
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.
22.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genetic dissection of southern corn leaf blight resistance in sweet corn through genome-wide association studies and genomic selection.

The plant genome·2026
Same author

A maize GT14 family glycosyltransferase affects cell wall composition and carbohydrate export from source leaves.

Journal of experimental botany·2026
Same author

QTL-Seq Identifies Extra QTLs and Candidate Genes Controlling High Haploid Induction Rate in Maize.

Plants (Basel, Switzerland)·2026
Same author

The stunt of stunted silk: A novel pollination control mechanism in maize.

Plant physiology·2026
Same author

Testcross Analysis of <i>Pl-1</i> Marker Expression and Seedling Vigor in Thai Maize Germplasm for Doubled Haploid Breeding Applications.

Plants (Basel, Switzerland)·2025
Same author

Molecular breeding approaches for the improvement of oil content and fatty acid composition in exotic-derived maize germplasm.

The New phytologist·2025

Related Experiment Video

Updated: Jun 24, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
09:43

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits

Published on: January 3, 2025

2.3K

Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid

Marco Antônio Peixoto1,2, Igor Ferreira Coelho1,2, Kristen A Leach2

  • 1Laboratório de Biometria, Universidade Federal de Viçosa, Viçosa, Minas Gerais 36570-900, Brazil.

G3 (Bethesda, Md.)
|June 13, 2024
PubMed
Summary

Genomic selection and doubled haploids accelerate sweet corn breeding. The doubled haploid with genomic selection (DHGS) model is most effective, reducing cycle time and increasing hybrid gains.

Keywords:
breeding analyticsbreeding program designhybrid performancestochastic simulationvegetable breeding

More Related Videos

Embryo Rescue Protocol for Interspecific Hybridization in Squash
09:15

Embryo Rescue Protocol for Interspecific Hybridization in Squash

Published on: September 12, 2022

2.6K
Microinjection of Corn Planthopper, Peregrinus maidis, Embryos for CRISPR/Cas9 Genome Editing
07:27

Microinjection of Corn Planthopper, Peregrinus maidis, Embryos for CRISPR/Cas9 Genome Editing

Published on: March 26, 2021

2.6K

Related Experiment Videos

Last Updated: Jun 24, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
09:43

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits

Published on: January 3, 2025

2.3K
Embryo Rescue Protocol for Interspecific Hybridization in Squash
09:15

Embryo Rescue Protocol for Interspecific Hybridization in Squash

Published on: September 12, 2022

2.6K
Microinjection of Corn Planthopper, Peregrinus maidis, Embryos for CRISPR/Cas9 Genome Editing
07:27

Microinjection of Corn Planthopper, Peregrinus maidis, Embryos for CRISPR/Cas9 Genome Editing

Published on: March 26, 2021

2.6K

Area of Science:

  • Plant breeding
  • Quantitative genetics
  • Agricultural science

Background:

  • Genomic selection (GS) and doubled haploids (DH) can improve crop breeding efficiency.
  • Optimizing breeding programs requires evaluating different strategies for parent selection and trait evaluation.

Purpose of the Study:

  • To investigate optimal strategies for a sweet corn breeding program using stochastic simulations.
  • To compare the effectiveness of different parental substitution ratios and genomic selection models.

Main Methods:

  • Stochastic simulations over 20 years.
  • Assessed parental substitution ratios (3:1, 1:1, 1:3, 0:1).
  • Compared genomic selection in testcross parents (GSTC) vs. F1 individuals (GSF1), and doubled haploids with (DHGS) and without (DH) genomic selection.

Main Results:

  • A 1:3 parental substitution ratio (75% new parents) maximized performance in conventional breeding.
  • The GSTC model showed greater genetic gain than GSF1.
  • The DHGS model reduced breeding cycle time from 5 to 4 years and enhanced hybrid gains.

Conclusions:

  • Genomic selection and doubled haploids significantly improve sweet corn breeding efficiency.
  • The DHGS model offers the most effective strategy for accelerated genetic gains and improved hybrid performance.