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

Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.5K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.5K
Genetic Variation01:25

Genetic Variation

1.7K
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,...
1.7K
Factorial Design02:01

Factorial Design

13.2K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.2K
Experimental Designs01:16

Experimental Designs

11.3K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
11.3K
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

600
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
600
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K

You might also read

Related Articles

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

Sort by
Same author

Sweet liking predicts liking and familiarity of some alcoholic beverages, but not alcohol intake: A population study using a split-sample approach.

Food research international (Ottawa, Ont.)·2024
Same author

Disgustingly perfect: An examination of disgust, perfectionism, and gender.

Motivation and emotion·2022
Same author

Best linear prediction of breeding values in a forest tree improvement program.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

Application of approximate variances of variance components and their ratios in genetic tests.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

A comparison of genetic information from open-pollinated and control-pollinated progeny tests in two eucalypt species.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

Does acute hyperglycemia alter rat aortic depressor nerve function?

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2007
Same journal

Combined genome and transcriptome analysis of boll weight and lint percentage traits in Gossypium barbadense.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same journal

The allelic variation of anthocyanidin reductase underlies anthocyanin biosynthesis and purple leaf trait in Brassica napus.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same journal

Unveiling core genomic regions shaping plant architecture, productivity, and seed quality traits in sesame (Sesamum indicum L.): insights from Meta-QTL study into breeding targets.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same journal

Watkins wheat landraces: a treasure of stripe rust resistance alleles identified using multi-model association analyses.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same journal

Selection of four mutant alleles of fatty acid desaturase genes for a stable high oleic and low linolenic acid soybean seed oil trait.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same journal

Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

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

2.9K

Variance component estimation techniques compared for two mating designs with forest genetic architecture through

D A Huber1, T L White, G R Hodge

  • 1IFAS 0303, University of Florida, 32611-0303, Gainesville, FL, USA.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|November 5, 2013
PubMed
Summary
This summary is machine-generated.

Restricted maximum likelihood (REML) and Henderson's Method 3 (HM3) are top methods for estimating variance components in forest genetics. REML showed better performance with imbalanced data, and using individual observations is preferred over plot means.

More Related Videos

Using a Comparative Species Approach to Investigate the Neurobiology of Paternal Responses
07:59

Using a Comparative Species Approach to Investigate the Neurobiology of Paternal Responses

Published on: September 19, 2011

13.8K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.3K

Related Experiment Videos

Last Updated: May 6, 2026

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

2.9K
Using a Comparative Species Approach to Investigate the Neurobiology of Paternal Responses
07:59

Using a Comparative Species Approach to Investigate the Neurobiology of Paternal Responses

Published on: September 19, 2011

13.8K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.3K

Area of Science:

  • Quantitative genetics
  • Forest genetics
  • Statistical modeling

Background:

  • Accurate estimation of variance components is crucial for genetic improvement in forest trees.
  • Various statistical methods exist, each with potential biases and efficiencies.
  • Understanding performance under typical data structures, including imbalance, is essential.

Purpose of the Study:

  • To compare five estimation techniques (MIVQUE, MINQUE, REML, ML, HM3) for variance components and their ratios.
  • To evaluate methods for handling negative variance estimates.
  • To assess the impact of using individual observations versus plot means as the experimental unit.

Main Methods:

  • Computer simulation of quantitative forest genetics data structures (field, mating, genetic architecture, imbalance).
  • Comparison of estimation techniques based on variance of estimates, mean square error (MSE), bias, and probability of nearness.
  • Evaluation of three procedures for negative variance estimates.
  • Analysis using both individual observations and plot means.

Main Results:

  • Probability of nearness did not differentiate techniques.
  • Bias distinguished negative estimate procedures but not estimation techniques (except ML).
  • Sampling variance differentiated procedures, techniques, and units of observation.
  • MSE offered no additional information beyond variance of estimates.
  • HM3 and REML were competitive, with REML showing greater robustness to imbalance.
  • Individual observations outperformed plot means.

Conclusions:

  • REML and HM3 are strong contenders for variance component estimation in forest genetics.
  • REML's robustness to imbalance makes it highly valuable.
  • Using individual observations is generally superior to plot means for analysis.
  • Practical guidelines for negative estimate procedures are provided.