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

Types of Selection01:46

Types of Selection

37.5K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
37.5K
Frequency-dependent Selection01:21

Frequency-dependent Selection

20.1K
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.
20.1K
Methods of Medium Optimization01:28

Methods of Medium Optimization

70
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
70
Softwoods and Hardwoods01:28

Softwoods and Hardwoods

859
Softwoods and hardwoods, derived from different types of trees, are distinguished by their leaf structures and cellular compositions, each serving unique purposes in construction and manufacturing. Softwoods come from cone-bearing trees with needle-like leaves and are predominantly composed of longitudinal cells called tracheids and a smaller proportion of radial cells known as rays. Due to their cellular structure, softwoods are commonly used in construction for structural frames, sheathing,...
859

You might also read

Related Articles

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

Sort by
Same author

A cross-sectional survey of risk factors for the presence of Coxiella burnetii in Australian commercial dairy goat farms.

Australian veterinary journal·2022
Same author

Predictive factors for the participation of general practitioners in lung cancer screening by low-dose CT scan in the Somme department in northern France.

Respiratory medicine and research·2020
Same author

One Health approach to controlling a Q fever outbreak on an Australian goat farm.

Epidemiology and infection·2015
Same author

Management of oral lesions in Lesch-Nyham syndrome.

The Journal of clinical pediatric dentistry·2014
Same author

Restriction fragment length polymorphism (RFLP) analyses of plants produced by in vitro anther culture of Solanum chacoense Bitt.

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

X-ray phase contrast imaging and noise evaluation using a single phase grating interferometer.

Optics express·2013

Related Experiment Video

Updated: May 4, 2026

A Venturi Effect Can Help Cure Our Trees
05:26

A Venturi Effect Can Help Cure Our Trees

Published on: October 1, 2013

17.6K

[Silvicultural treatments and their selection effects].

G Vincent1

  • 1Institut der experimentellen Botanik der Tschechoslowakischen Akademie der Wissenschaften, Brno, ĈSSR.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|January 16, 2014
PubMed
Summary

Forestry selection focuses on genotypes for improved timber production. Applying directional selection principles and analyzing genetic parameters like heritability can enhance forest stand quality and economic success.

More Related Videos

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
Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

17.7K

Related Experiment Videos

Last Updated: May 4, 2026

A Venturi Effect Can Help Cure Our Trees
05:26

A Venturi Effect Can Help Cure Our Trees

Published on: October 1, 2013

17.6K
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
Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

17.7K

Area of Science:

  • Forestry science
  • Quantitative genetics
  • Silviculture

Context:

  • Forestry practices involve selecting trees for improved growth and timber quality.
  • Traditional silvicultural treatments aim for increased forest production.
  • Effective selection requires considering the hereditary properties (genotypes) of trees.

Purpose:

  • To explore genetic parameters for evaluating silvicultural treatments.
  • To demonstrate the application of selection differential, heritability, and genetic gain.
  • To provide economic criteria for assessing forest stand treatments based on genetic composition.

Summary:

  • This study examines genetic parameters to quantify the effectiveness of silvicultural selection methods.
  • Analysis includes selection differential, heritability (narrow and broad sense), and genetic/genotypic gain.
  • Higher selection intensity correlates with greater gains, especially in variable natural forests compared to uniform stands.

Impact:

  • Provides a framework for estimating the economic success of silvicultural treatments.
  • Highlights the importance of genotype differentiation for evaluating selection efficacy.
  • Enables prediction of the genetic composition of future forest generations, informing long-term management strategies.