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Related Concept Videos

Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...
Light Acquisition02:16

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.
Chi-square Analysis02:46

Chi-square Analysis

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...
Trihybrid Crosses02:27

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...

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Related Experiment Video

Updated: May 26, 2026

Multipronged Phenotyping Approaches to Characterize Sugarcane Root Systems
09:21

Multipronged Phenotyping Approaches to Characterize Sugarcane Root Systems

Published on: August 17, 2022

A mixed model QTL analysis for sugarcane multiple-harvest-location trial data.

M M Pastina1, M Malosetti, R Gazaffi

  • 1Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, SP, Brazil.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|December 14, 2011
PubMed
Summary

Developing new sugarcane cultivars takes over 12 years. This study introduces a new method for quantitative trait loci (QTL) detection, significantly improving the understanding of genetic traits for faster breeding.

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Published on: September 15, 2015

Area of Science:

  • Plant Breeding
  • Genetics
  • Agricultural Science

Background:

  • Sugarcane breeding programs require extensive timelines (≥12 years) for new cultivar development.
  • Molecular markers can aid in understanding quantitative trait genetic architecture and accelerating selection.
  • Existing quantitative trait loci (QTL) detection methods often overlook complex interactions with environmental factors like harvest and location.

Purpose of the Study:

  • To propose and apply a novel strategy for QTL detection in sugarcane using multi-harvest-location trial data.
  • To map QTL effects for key agronomic traits including cane yield, sugar yield, fiber percent, and sucrose content.
  • To investigate QTL interactions with harvest and location to better understand trait genetic architecture.

Main Methods:

  • Utilized interval mapping and mixed models for QTL detection.
  • Incorporated appropriate (co)variance structures to model genetic and non-genetic effects, accounting for heterogeneity and correlation.
  • Applied the strategy to a segregating sugarcane progeny evaluated across two locations and three harvest years.

Main Results:

  • Identified a total of 46 QTLs across the evaluated traits: 13 for cane yield, 14 for sugar yield, 11 for fiber percent, and 8 for sucrose content.
  • Found significant QTL by harvest, QTL by location, and QTL by harvest by location interactions for all traits.
  • 30 QTLs exhibited significant interactions, while 16 showed no interaction effects.

Conclusions:

  • The proposed mixed-model-based interval mapping strategy effectively detects QTLs and their interactions in multi-environment sugarcane trials.
  • Results enhance the understanding of the genetic basis of sugarcane biomass and sucrose content, paving the way for more efficient breeding.
  • The findings highlight the importance of considering genotype-environment interactions in sugarcane genetic improvement programs.