Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genetic Screens

Genetic Screens

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 result in visible changes...

You might also read

Related Articles

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

Sort by

Same author

Near-Infrared Spectroscopy-Based Phenomics Data Can Improve Genomic Prediction of Agronomic and Grain Quality Traits Across Multi-Environment Sorghum Hybrid Trials.

Plants (Basel, Switzerland)·2025

Same author

Synthesis, function, and genetic variation of sorgoleone, the major biological nitrification inhibitor in sorghum.

Crop science·2025

Same author

UV-induced reactive oxygen species and transcriptional control of 3-deoxyanthocyanidin biosynthesis in black sorghum pericarp.

Frontiers in plant science·2024

Same author

Near-infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments.

The plant genome·2024

Same author

Evaluating and Predicting the Performance of Sorghum Lines in an Elite by Exotic Backcross-Nested Association Mapping Population.

Plants (Basel, Switzerland)·2024

Same author

Use of genomic prediction to screen sorghum B-lines in hybrid testcrosses.

The plant genome·2023

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

A Rapid and Efficient Method for Assessing Pathogenicity of Ustilago maydis on Maize and Teosinte Lines

A Rapid and Efficient Method for Assessing Pathogenicity of Ustilago maydis on Maize and Teosinte Lines

Published on: January 3, 2014

Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a

Noah D Winans¹, Robert R Klein², Jales Mendes Oliveira Fonseca¹

¹Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.

Plants (Basel, Switzerland)

|February 11, 2023

Summary

Genomic prediction models effectively screened sorghum lines for hybrid potential, identifying superior performers. This approach accelerates breeding by eliminating underperforming lines early, optimizing hybrid improvement programs.

Keywords:

BC-NAM populations genetic diversity genomic resource genomic selection hybrid performance introgression sorghum

More Related Videos

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Published on: April 17, 2015

Screening Cotton Genotypes for Reniform Nematode Resistance

Screening Cotton Genotypes for Reniform Nematode Resistance

Published on: May 2, 2019

Related Experiment Videos

Last Updated: Jun 26, 2026

A Rapid and Efficient Method for Assessing Pathogenicity of Ustilago maydis on Maize and Teosinte Lines

A Rapid and Efficient Method for Assessing Pathogenicity of Ustilago maydis on Maize and Teosinte Lines

Published on: January 3, 2014

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections

Published on: April 17, 2015

Screening Cotton Genotypes for Reniform Nematode Resistance

Screening Cotton Genotypes for Reniform Nematode Resistance

Published on: May 2, 2019

Area of Science:

Plant Breeding
Genetics
Agronomy

Background:

Tropical sorghum germplasm offers novel genetic diversity for crop improvement.
Developing and evaluating numerous backcross nested-association mapping (BC-NAM) populations for hybrid breeding is resource-intensive.

Purpose of the Study:

To assess the utility of genomic information for predicting hybrid performance in BC-NAM populations.
To identify effective methods for screening large numbers of BC-NAM lines in hybrid improvement programs.

Main Methods:

Developed an expansive backcross nested-association mapping (BC-NAM) resource by introgressing tropical sorghum diversity into elite inbreds.
Evaluated elite BC-NAM lines in hybrid combinations with an elite tester across two locations, collecting data on grain yield, plant height, and days to anthesis.
Utilized genotyping-by-sequence (GBS) for genetic distance calculations and genomic prediction models (additive and dominance GBLUP kernels).

Main Results:

Lines derived from BC-NAM populations outperformed their recurrent parent in hybrid combinations.
Genetic distance based on GBS was not effective in predicting hybrid performance.
Genomic prediction models effectively screened germplasm, identifying and eliminating inferior-performing lines.

Conclusions:

Genomic prediction models, particularly those using additive and dominance GBLUP kernels, are effective tools for screening sorghum germplasm in hybrid breeding.
This genomic-assisted approach can significantly enhance the efficiency of hybrid improvement programs by reducing the need for extensive hybrid evaluations.