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Related Concept Videos

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.
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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).
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Cochran's Q Test01:17

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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,...
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The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
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Related Experiment Video

Updated: Jul 10, 2026

Development of Targeting Induced Local Lesions IN Genomes (TILLING) Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis
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QTL analysis for some quantitative traits in bread wheat.

Kumar Gupta Pushpendra1, Singh Balyan Harindra, Laxminarayan Kulwal Pawan

  • 1Molecular Biology Laboratory, Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India. pkgupta36@gmail.com

Journal of Zhejiang University. Science. B
|November 2, 2007
PubMed
Summary

Quantitative trait loci (QTL) analysis in bread wheat identified major effect QTL for pre-harvest sprouting tolerance on chromosome 3AL. These findings aid in marker-aided selection for wheat improvement.

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Area of Science:

  • Plant Genetics
  • Agricultural Science
  • Molecular Biology

Background:

  • Bread wheat (Triticum aestivum) is a vital global crop.
  • Understanding genetic control of important traits is crucial for crop improvement.
  • Quantitative trait loci (QTL) analysis is a key tool for dissecting complex genetic architectures.

Purpose of the Study:

  • To conduct comprehensive QTL analysis for 14 important traits in bread wheat.
  • To investigate the genetic basis of grain protein content (GPC) and pre-harvest sprouting tolerance (PHST).
  • To identify QTL for grain weight and growth-related traits for marker-aided selection.

Main Methods:

  • Utilized data from four diverse mapping populations.
  • Employed various QTL analysis approaches, including single-locus, two-locus, composite interval mapping (CIM), and multiple-trait composite interval mapping (MCIM).
  • Analyzed genetic variation attributed to main effect QTL (M-QTL) and environmental interactions.

Main Results:

  • GPC variation is largely influenced by environmental interactions.
  • PHST is primarily controlled by M-QTL, with a major QTL identified on chromosome arm 3AL.
  • QTL for grain weight were located on chromosome arms 1AS, 2BS, and 7AS.
  • Numerous QTL were detected for growth, yield, and yield-contributing traits across different analyses.

Conclusions:

  • Environmental interactions significantly impact GPC.
  • A major QTL on 3AL offers a target for improving PHST in wheat.
  • Identified QTL provide valuable targets for marker-aided selection to enhance wheat breeding programs.