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

Trihybrid Crosses02:27

Trihybrid Crosses

23.3K
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...
23.3K
Monohybrid Crosses01:20

Monohybrid Crosses

230.0K
Overview
230.0K
Chi-square Analysis02:46

Chi-square Analysis

38.2K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.2K
Dihybrid Crosses01:18

Dihybrid Crosses

74.8K
Overview
74.8K

You might also read

Related Articles

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

Sort by
Same author

A two-stage screening approach integrated with GWAS for rare phenotypes such as spontaneous haploid genome doubling in maize.

Frontiers in plant science·2026
Same author

Trends in stomatal density and size in maize hybrids representing 100 years of long-term breeding for yield.

Frontiers in plant science·2026
Same author

Neighborhood environmental characteristics and the risk of falls among older adults: A 3-year longitudinal follow-up of the Japan gerontological evaluation study.

Archives of gerontology and geriatrics·2026
Same author

AutoSiQ: a curated haploid <i>Arabidopsis thaliana</i> inflorescence dataset with a fine-grained silique ontology and a deep learning application for haploid fertility quantification.

Frontiers in plant science·2026
Same author

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

Plants (Basel, Switzerland)·2026
Same author

Comprehensive Genotoxicity and 28-Day Oral Toxicity Evaluation Reveal Safety of a Standardized Anisomeles indica-Containing Powder.

BioMed research international·2026

Related Experiment Video

Updated: Jun 27, 2025

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy
07:26

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

6.1K

Haploid identification in maize.

Abil Dermail1, Mariah Mitchell2, Tyler Foster2

  • 1Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand.

Frontiers in Plant Science
|May 6, 2024
PubMed
Summary

Producing doubled haploid (DH) maize lines relies on efficient haploid identification. This review explores methods from phenotypic differences to automated sorting, aiming for faster, cost-effective DH production.

Keywords:
automated sortingdoubled haploidhaploid selectionhaploid verificationmaize hybrid breeding

More Related Videos

Author Spotlight: Investigating Fungal Pathogenicity Mechanisms in Maize
06:12

Author Spotlight: Investigating Fungal Pathogenicity Mechanisms in Maize

Published on: September 15, 2023

1.4K
A Simple Dry Sectioning Method for Obtaining Whole-Seed-Sized Resin Section and Its Applications
10:10

A Simple Dry Sectioning Method for Obtaining Whole-Seed-Sized Resin Section and Its Applications

Published on: January 23, 2021

4.5K

Related Experiment Videos

Last Updated: Jun 27, 2025

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy
07:26

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

6.1K
Author Spotlight: Investigating Fungal Pathogenicity Mechanisms in Maize
06:12

Author Spotlight: Investigating Fungal Pathogenicity Mechanisms in Maize

Published on: September 15, 2023

1.4K
A Simple Dry Sectioning Method for Obtaining Whole-Seed-Sized Resin Section and Its Applications
10:10

A Simple Dry Sectioning Method for Obtaining Whole-Seed-Sized Resin Section and Its Applications

Published on: January 23, 2021

4.5K

Area of Science:

  • Plant breeding
  • Genetics
  • Agricultural biotechnology

Background:

  • Doubled haploid (DH) line production is crucial for maize breeding.
  • Current DH protocols involve haploid induction, identification, genome doubling, and self-fertilization.
  • Haploid identification is a bottleneck due to its laborious, costly, and time-consuming nature.

Purpose of the Study:

  • To review and analyze various methods for haploid identification in maize.
  • To highlight the advantages and limitations of different haploid identification approaches.
  • To discuss the potential of automated seed sorting for improving DH production efficiency.

Main Methods:

  • Review of innate differences between haploid and diploid maize.
  • Analysis of biomarker systems integrated into haploid inducers.
  • Discussion of automated seed sorting technologies and their performance metrics.

Main Results:

  • Phenotypic differentiation, genetic basis, and limitations of biomarker systems are detailed.
  • Automated seed sorting platforms are evaluated for speed, accuracy, and commercialization challenges.
  • Current strategies focus on multiple reliable biomarkers and automation for efficiency.

Conclusions:

  • Automated, high-throughput haploid sorting holds promise for robust and accurate DH production.
  • Future systems must balance time, workforce, budget, and sorting scale.
  • Optimizing haploid identification is key to advancing maize breeding programs.