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

Correlation of Experimental Data01:23

Correlation of Experimental Data

613
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
613
Correlations02:20

Correlations

34.7K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
34.7K
Multiple Regression01:25

Multiple Regression

3.4K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.4K
Trihybrid Crosses02:27

Trihybrid Crosses

24.6K
Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal...
24.6K
Dihybrid Crosses01:18

Dihybrid Crosses

61.4K
Overview
61.4K
Correlation and Regression00:53

Correlation and Regression

3.8K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
3.8K

You might also read

Related Articles

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

Sort by
Same author

Cross prediction studies on spring barley : 1. Estimation of genetical and environmental control of morphological and maturity characters.

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

Cross prediction studies on spring barley : 2. Estimation of genetical and environmental control of yield and its component characters.

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

Competitive effects in monocultures and mixtures of spring barley (Hordeum vulgare).

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

The inheritance of genetic markers in microspore-derived plants of barley Hordeum vulgare L.

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

Detection of quantitative trait loci for agronomic, yield, grain and disease characters in spring barley (Hordeum vulgare L.).

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

Ruptured Intestine from Accident: Laparotomy: Suture of Gut: Recovery.

British medical journal·2010

Related Experiment Video

Updated: May 5, 2026

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
07:03

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions

Published on: November 6, 2016

10.0K

Cross prediction studies on spring barley : 3. Correlations between characters.

W T Thomas1, C R Tapsell

  • 1Scottish Crop Research Institute (Pentlandfield), EH25 9RF, Roslin, Midlothian, UK.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|November 20, 2013
PubMed
Summary
This summary is machine-generated.

Genetic correlations in spring barley reveal that while phenotypic correlations differ from additive genetic correlations, the erectoides dwarfing gene is linked to reduced yield and grain weight.

More Related Videos

Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry
08:15

Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry

Published on: November 8, 2024

1.1K
Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

8.1K

Related Experiment Videos

Last Updated: May 5, 2026

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
07:03

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions

Published on: November 6, 2016

10.0K
Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry
08:15

Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry

Published on: November 8, 2024

1.1K
Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

8.1K

Area of Science:

  • Agronomy
  • Plant Breeding
  • Quantitative Genetics

Background:

  • Understanding genetic and environmental influences on crop traits is crucial for breeding.
  • Agronomically important characters in spring barley include yield, tillering, grain number, and thousand grain weight.

Purpose of the Study:

  • To calculate additive genetic, dominance genetic, and environmental correlations between key agronomic traits in spring barley.
  • To compare phenotypic correlations with additive genetic correlations.
  • To investigate the genetic basis of yield and its components, including the effect of the erectoides dwarfing gene.

Main Methods:

  • Triple Test Cross (TTC) analysis was employed to estimate variance and covariance components.
  • Additive genetic, dominance genetic, and environmental correlations were derived from TTC analysis.
  • Phenotypic correlations were calculated using TTC family means.

Main Results:

  • Phenotypic correlations were generally lower and sometimes of opposite sign compared to additive genetic correlations.
  • Number of tillers showed the highest phenotypic correlation with single plant yield, but the lowest additive genetic correlation.
  • Thousand grain weight exhibited the highest additive genetic correlation with single plant yield.
  • High dominance genetic correlations were observed between single plant yield and grain number/thousand grain weight, indicating selection in early generations would be ineffective.

Conclusions:

  • Additive and dominance genetic correlations confirm the association of the erectoides dwarfing gene with reduced thousand grain weight and plant yield.
  • The discrepancy between phenotypic and additive genetic correlations highlights the complexity of trait inheritance in spring barley.
  • Early generation selection for single plant yield based on grain number and thousand grain weight is likely to be ineffective due to high dominance genetic correlations.