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

Light Acquisition02:16

Light Acquisition

8.4K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.4K
Trihybrid Crosses02:27

Trihybrid Crosses

23.0K
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...
23.0K
Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

18.8K
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.
18.8K
Monohybrid Crosses01:20

Monohybrid Crosses

228.5K
Overview
228.5K
Chi-square Analysis02:46

Chi-square Analysis

37.1K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
37.1K

You might also read

Related Articles

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

Sort by
Same author

Assessing the adaptive potential of European beech populations to temperature and precipitation along a steep environmental gradient in the south-eastern Carpathians.

Plant biology (Stuttgart, Germany)·2025
Same author

Individual plant genetics reveal the control of local adaptation in European maize landraces.

BMC biology·2025
Same author

Optimization of recurrent rapid cycle breeding in maize for sustained long-term genetic improvement via stochastic simulations.

G3 (Bethesda, Md.)·2025
Same author

Interpretable machine learning decodes soil microbiome's response to drought stress.

Environmental microbiome·2024
Same author

2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative.

BMC research notes·2023
Same author

Genomes to Fields 2022 Maize genotype by Environment Prediction Competition.

BMC research notes·2023

Related Experiment Video

Updated: May 28, 2025

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
06:41

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

634

Experimental evolution in maize with replicated divergent selection identifies two plant-height-associated regions.

Mila Tost1,2, Cathy Westhues1,2, Ginnie Morrison3

  • 1Department of Crop Science, Division of Plant Breeding Methodology, University of Goettingen, Carl-Sprengel-Weg 1, Goettingen 37075, Germany.

Genetics
|February 14, 2025
PubMed
Summary

Experimental evolution in maize identified two genomic regions under selection for plant height. This study used replicated field selection and a novel false discovery rate for selection (FDRfS) method to improve accuracy in selection mapping.

Keywords:
experimental evolutionmaizeplant heightpopulation geneticsselection signature mapping

More Related Videos

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development
10:08

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Published on: March 5, 2017

9.5K
Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
08:31

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

10.8K

Related Experiment Videos

Last Updated: May 28, 2025

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
06:41

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

634
Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development
10:08

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Published on: March 5, 2017

9.5K
Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
08:31

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

10.8K

Area of Science:

  • Agricultural Science
  • Evolutionary Biology
  • Genetics

Background:

  • Experimental evolution, or long-term selection, is crucial in agricultural research for understanding adaptation.
  • Selection mapping aims to identify genomic regions under selection, but robust significance thresholds are challenging, especially in unreplicated crop studies.
  • Previous methods often use empirical distributions, risking false positives or negatives, and single-marker statistics can identify linked neutral loci.

Purpose of the Study:

  • To conduct divergent, replicated selection for plant height in a maize population under field conditions.
  • To develop and apply robust significance thresholds for selection mapping using replicated data.
  • To identify genomic regions and genes associated with selection for plant height in maize.

Main Methods:

  • Divergent selection for extreme plant height (shortest and tallest 5%) was applied for three generations in a random-mating maize population.
  • A window-based statistic (FSTSum) leveraging replicated selection was used.
  • Significance thresholds were determined using the false discovery rate for selection (FDRfS).

Main Results:

  • Two significant genomic regions were identified as putatively under selection.
  • One region on chromosome 3 is located near known plant height genes (Dwarf1 and iAA8).
  • Haplotype block analysis revealed strong selection patterns in short plant height subpopulations on chromosome 3.

Conclusions:

  • Replicated field selection combined with FDRfS provides a robust method for accurate selection mapping in crops.
  • The study identified specific genomic regions associated with selection for plant height in maize.
  • Findings highlight the importance of specific genes and chromosomal regions in maize plant height evolution.