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相关概念视频

Trihybrid Crosses02:27

Trihybrid Crosses

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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...
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Dihybrid Crosses01:18

Dihybrid Crosses

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Overview
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Test Cross01:39

Test Cross

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Alleles are different forms of the same gene. Humans and other diploid organisms inherit two alleles of every gene, one from each parent.
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Monohybrid Crosses01:20

Monohybrid Crosses

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Chi-square Analysis02:46

Chi-square Analysis

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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...
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相关实验视频

Updated: Jun 12, 2025

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
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单个交叉预测与归算的多原子数据:在菜种子的一个案例研究.

S E Weber1, L Roscher-Ehrig1, S Zanini2

  • 1Department of Plant Breeding, Justus Liebig University, Giessen, Germany.

Genome
|May 5, 2025
PubMed
概括

单核酸多态性 (SNP) 阵列在油菜杂交繁殖中仍然可靠用于基因组预测. 添加归算的全基因组测序和基因表达数据并没有提高单独SNP数组的预测准确性.

关键词:
卡诺拉 (canola) 是一种大豆.基因组预测 基因组预测归算是指指责一个人.一个交叉预测预测.

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科学领域:

  • 植物基因组学 植物基因组学
  • 农业科学 农业科学
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因组预测利用高分辨率的植物基因组数据和表型信息来在育种计划中进行基因型选择.
  • 单核酸多态 (SNP) 阵列捕获有限的全基因组多样性,促使探索全基因组测序 (WGS) 和基因表达数据归算.

研究的目的:

  • 评估归算全基因组测序标记和表达数据对菜杂交育种中的基因组预测准确性的影响.
  • 为了比较SNP数组与组合基因组和表达数据的有效性,以预测混合性能.

主要方法:

  • 利用SNP阵列,全基因组测序 (WGS) 和RNA测序在一只菜杂交繁殖群体上.
  • 在整个人口中输入的标记物和基因表达数据.
  • 应用基因组预测来估计未经测试的杂交品种的一般和特定结合能力效应.

主要成果:

  • 输入的WGS标记和表达数据增加了标记密度和链接不平衡.
  • 与单独的SNP数组数据相比,添加归算的WGS和表达式数据并没有改善一般和特定组合能力的预测准确性.
  • 缺乏改善的潜在原因包括数据冗余,归算错误或对基因表达的环境影响.

结论:

  • 目前,SNP数组对于菜杂交育种计划中的基因组预测是充足和可靠的.
  • 可能需要进一步的研究来克服与归算准确性和环境影响对基因表达相关的挑战,以提高基因组预测.