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

Survival Tree01:19

Survival Tree

112
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
112
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.1K
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.
22.1K
Pedigree Analysis01:35

Pedigree Analysis

84.5K
Overview
84.5K
Genetics of Speciation02:16

Genetics of Speciation

19.4K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
19.4K
Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

19.0K
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.
19.0K

You might also read

Related Articles

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

Sort by
Same author

A new two-gene system of sex determination in a Salicaceae.

Current biology : CB·2026
Same author

X-specific methylation distorts sex.

Nature plants·2024
Same author

Genomic variation of European beech reveals signals of local adaptation despite high levels of phenotypic plasticity.

Nature communications·2024
Same author

ARR17 controls dioecy in <i>Populus</i> by repressing B-class MADS-box gene expression.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2022
Same author

Sex determination and sex chromosome evolution in land plants.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2022
Same author

The Hda1 histone deacetylase limits divergent non-coding transcription and restricts transcription initiation frequency.

The EMBO journal·2021

Related Experiment Video

Updated: Jul 21, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

A simulation study comparing advanced marker-assisted selection with genomic selection in tree breeding programs.

Bernd Degen1, Niels A Müller1

  • 1Thünen Institute of Forest Genetics, Sieker Landstrasse 2, 22927, Grosshansdorf, Schleswig-Holstein, Germany.

G3 (Bethesda, Md.)
|July 26, 2023
PubMed
Summary
This summary is machine-generated.

Genomic selection (GS) generally outperforms marker-assisted selection (MAS) in tree breeding simulations, especially for complex traits. While MAS shows promise with decreasing sequencing costs, GS offers a robust strategy for genetic gain and managing inbreeding.

Keywords:
GWASPlant Genetics and GenomicsSNPscan breedergBLUPgenetic gaingenomic selectionmarker-assisted selectionstochastic simulation

More Related Videos

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

10.2K
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

2.4K

Related Experiment Videos

Last Updated: Jul 21, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
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

10.2K
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

2.4K

Area of Science:

  • Genomics
  • Quantitative Genetics
  • Forestry

Background:

  • Advances in DNA sequencing enable genome-wide association studies (GWAS) for complex traits.
  • Marker-assisted selection (MAS) using identified SNPs and genomic selection (GS) are potential tools for breeding programs.
  • Tree breeding strategies are lengthy, making efficient selection methods crucial.

Purpose of the Study:

  • To compare the effectiveness of MAS versus GS in simulated tree breeding programs.
  • To evaluate the impact of different genetic architectures and kinship levels on selection methods.
  • To assess the influence of population size and phenotype selection on GWAS performance.

Main Methods:

  • Simulation of a tree breeding program using the "SNPscan breeder" software.
  • Comparison of genetic gain and inbreeding under different selection criteria (MAS, GS, progeny testing).
  • Assessment of varying genetic architectures, kinship levels, and population sizes for GWAS and GS.

Main Results:

  • Genomic selection (GS) using gBLUP generally performed best across most simulated scenarios.
  • Marker-assisted selection (MAS) based on GWAS outperformed GS only when allelic effects were estimated in large, unrelated populations.
  • GWAS using 3,000 extreme phenotypes was as effective as using 10,000 phenotypes.
  • GS led to higher inbreeding and reduced genetic diversity compared to progeny testing and GWAS-based selection.

Conclusions:

  • Genomic selection shows strong potential for forest tree breeding and improvement.
  • Marker-assisted selection may become more relevant as sequencing costs decrease.
  • The choice of selection strategy depends on population structure, genetic architecture, and available data.