Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Light Acquisition

Light Acquisition

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.

Multiple Regression

Multiple Regression

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...

Dihybrid Crosses

Dihybrid Crosses

Trihybrid Crosses

Trihybrid Crosses

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 chance to...

You might also read

Related Articles

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

Sort by

Same author

Impacts of an urban flood control infrastructure on the limnology and ichthyofauna of a basaltic Cuesta stream (southeast Brazil).

Brazilian journal of biology = Revista brasleira de biologia·2023

Same author

Barriers to patient recruitment in a poststroke neurorehabilitation multicenter trial in Brazil.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2023

Same author

The effect of subclinical endometritis on reproductive performance in postpartum Bos indicus multiparous beef cows.

Animal reproduction science·2022

Same author

Endovascular Management of Intracranial Dural AVFs: Principles.

AJNR. American journal of neuroradiology·2021

Same author

Endovascular Management of Intracranial Dural AVFs: Transvenous Approach.

AJNR. American journal of neuroradiology·2021

Same author

Endovascular Management of Intracranial Dural Arteriovenous Fistulas: Transarterial Approach.

AJNR. American journal of neuroradiology·2021

Search research articles

Related Experiment Video

Updated: May 10, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Descriptor selection for banana accessions based on univariate and multivariate analysis.

L P Brandão¹, C P F Souza, V M Pereira

¹Universidade Federal do Recôncavo da Bahia, Cruz das Almas, BA, Brasil.

Genetics and Molecular Research : GMR

|June 15, 2013

Summary

Researchers identified essential morphological descriptors for banana germplasm characterization, reducing descriptor numbers by 42% without losing genetic variability information. This simplifies banana genetic studies.

More Related Videos

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

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

Published on: March 28, 2025

High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato

High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato

Published on: June 7, 2024

Related Experiment Videos

Last Updated: May 10, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

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

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

Published on: March 28, 2025

High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato

High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato

Published on: June 7, 2024

Area of Science:

Agricultural Science
Genetics
Bioinformatics

Background:

Accurate characterization of banana germplasm is crucial for breeding and conservation efforts.
Traditional phenotypic characterization relies on a large number of descriptors, which can be redundant and inefficient.
Statistical methods offer potential for optimizing descriptor selection.

Purpose of the Study:

To determine the minimum set of morphological descriptors for banana germplasm characterization.
To evaluate the efficiency of removing redundant characters using statistical analyses.
To assess the impact of descriptor reduction on estimating genetic variability.

Main Methods:

Phenotypic characterization of 77 banana accessions using 92 morphological descriptors.
Descriptor selection via principal components analysis (quantitative) and entropy (multi-category).
Analysis of descriptor elimination efficiency by comparing clusters formed with full and reduced descriptor sets, using Ward-MLM and Gower algorithm.

Main Results:

A significant reduction of 42% in the number of morphological descriptors was achieved.
The correlation between genetic variability matrices using all and selected descriptors was high (0.82).
Descriptor reduction did not negatively impact the estimation of genetic variability among banana accessions.

Conclusions:

A reduced set of morphological descriptors effectively characterizes banana germplasm.
The elimination of redundant descriptors does not lead to a loss of critical genetic information.
Optimized descriptor sets enhance the efficiency of banana genetic studies and conservation.