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

Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

62.6K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
62.6K
Epistasis Analysis01:09

Epistasis Analysis

4.9K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
4.9K
Confidence Intervals01:21

Confidence Intervals

9.4K
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A confidence...
9.4K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.5K
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...
4.5K
Incomplete Dominance01:43

Incomplete Dominance

19.1K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
19.1K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.5K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Folic acid supplementation does not decrease stillbirths and congenital malformations in a guide dog colony.

The Journal of small animal practice·2021
Same author

A missense mutation in damage-specific DNA binding protein 2 is a genetic risk factor for ocular squamous cell carcinoma in Belgian horses.

Equine veterinary journal·2019
Same author

Maternal omega-3 polyunsaturated fatty acid supplementation on offspring hip joint conformation.

PloS one·2018
Same author

Cardiac adaptations in SCNT newborn cloned calves during the first month of life assessed by echocardiography.

Theriogenology·2017
Same author

Long-term genetic selection reduced prevalence of hip and elbow dysplasia in 60 dog breeds.

PloS one·2017
Same author

Partitioning of feed intake into maintenance and gain in growing beef cattle: Evaluation of conventional and Bayesian analyses.

Journal of animal science·2015

Related Experiment Video

Updated: May 5, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

9.4K

Inequality constrained estimation of genetic parameters.

T R Famula1

  • 1Department of Animal Science, University of California, 95616, Davis, CA, USA.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|November 23, 2013
PubMed
Summary

This study introduces a new method for estimating genetic parameters within theoretical bounds. The constrained estimators show improved prediction accuracy, especially for traits with heritability near zero or one.

More Related Videos

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

41.3K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

7.6K

Related Experiment Videos

Last Updated: May 5, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

9.4K
Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

41.3K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

7.6K

Area of Science:

  • Quantitative Genetics
  • Statistical Genetics
  • Animal Breeding

Background:

  • Estimating genetic parameters is crucial for animal breeding and quantitative genetics.
  • Standard methods can yield estimates outside theoretical limits (e.g., heritability < 0 or > 1).
  • Boundary values for genetic parameters present estimation challenges.

Purpose of the Study:

  • To develop a method for computing genetic parameter estimates under linear inequality constraints.
  • To ensure that the resulting estimates remain within biologically meaningful theoretical limits.
  • To evaluate the prediction accuracy of the proposed constrained estimators.

Main Methods:

  • A novel method for constrained estimation of genetic parameters.
  • Application of linear inequality constraints to ensure solutions are within theoretical limits.
  • A small-scale numerical study to compare constrained and unconstrained estimators.

Main Results:

  • The proposed method produces biased estimators but respects theoretical bounds.
  • Inequality constrained estimators demonstrated a smaller mean squared error of prediction compared to the best unbiased estimators.
  • The efficiency gain is particularly notable for traits with heritability near zero or one.

Conclusions:

  • The constrained estimation method provides a viable approach for obtaining realistic genetic parameter estimates.
  • This method enhances estimation efficiency, especially for traits with boundary heritability values.
  • The findings have implications for accurate genetic evaluation and breeding program design.