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

What is Population Genetics?01:25

What is Population Genetics?

63.7K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
63.7K
Genetic Screens02:46

Genetic Screens

5.4K
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...
5.4K
Genetic Variation01:25

Genetic Variation

1.1K
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
1.1K
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.8K
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.
22.8K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

584
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
584
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.9K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.9K

You might also read

Related Articles

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

Sort by
Same author

Genomic insights into <i>Lolium multiflorum</i> diversity for forage breeding in Andean livestock systems.

Frontiers in plant science·2026
Same author

Improving genomic prediction in wheat with random regression models with genotype-specific phenology-driven environmental covariates.

The plant genome·2026
Same author

Jet Cold Plasma at Atmospheric Air Pressure for Venous Ulcers: A Randomized Clinical Trial.

Plastic and reconstructive surgery. Global open·2026
Same author

Impact of preanalytical factors on blood CHI3L1 levels.

Frontiers in immunology·2026
Same author

SLPcalculator: a web-based tool to estimate nanoparticle heating with peak analysis and <i>F</i>-test.

Nanoscale·2026
Same author

A single-step radiolabeling strategy for PET, SPECT, and therapeutic radionuclides using nanoparticles as a universal chelator.

Npj imaging·2026

Related Experiment Video

Updated: Dec 6, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.5K

Training Population Optimization for Genomic Selection.

Inés Berro1,2, Bettina Lado2, Rafael S Nalin1,3

  • 1Dep. of Agronomy, Univ. of Wisconsin - Madison, 1575 Linden Dr., Madison, WI, 53706.

The Plant Genome
|October 5, 2020
PubMed
Summary

Optimizing training populations (TR) for genomic selection improves prediction accuracy. Using a weighted relationship matrix with stratified sampling is the best strategy for predicting quantitative traits in future generations.

More Related Videos

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.5K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.1K

Related Experiment Videos

Last Updated: Dec 6, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.5K
Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.5K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.1K

Area of Science:

  • Plant breeding
  • Quantitative genetics
  • Genomic selection

Background:

  • Genomic selection (GS) effectiveness relies on training population (TR) quality, prediction models, markers, and composition.
  • Population structure and diversity are critical for optimal TR design.

Purpose of the Study:

  • Compare strategies for optimizing TR for specific testing populations (TE).
  • Identify methods to select individuals from TR with higher predictive ability for TE.

Main Methods:

  • Evaluated 1353 wheat and 644 rice lines for grain yield across environments.
  • Compared within-TR optimization strategies for predictive ability.
  • Assessed optimization strategies for selecting TR individuals for specific TE.

Main Results:

  • Optimized TRs are smaller, more related, and more predictive.
  • Stratified sampling with a marker-effect-weighted relationship matrix is optimal.
  • Considering population structure and TR-TE relationships enhances TR design.

Conclusions:

  • A weighted relationship matrix with stratified sampling provides the best forward predictions for quantitative traits.
  • Optimizing TR composition is crucial for successful genomic selection in plant breeding programs.