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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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What is Natural Selection?01:32

What is Natural Selection?

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Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
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Multiple Allele Traits01:49

Multiple Allele Traits

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The Concept of Multiple Allelism
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Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
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Optimal Foraging00:48

Optimal Foraging

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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Updated: Feb 12, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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优化基因组选择的培训套件,以在多个环境中识别优异的基因型.

Zi-Jie Liu1, Chen-Tuo Liao1

  • 1Department of Agronomy, National Taiwan University, Taipei, 106319, Taiwan.

G3 (Bethesda, Md.)
|February 11, 2026
PubMed
概括
此摘要是机器生成的。

基因组选择 (GS) 有效地识别了跨环境的优越植物基因型. CDmean (v2) 方法优化了多环境试验中GS的培训套件,提高了精英基因型识别,以高效的计算成本.

关键词:
基因组组装组合的基因组.基因组预测 基因组预测基因型与环境的相互作用.多环境试验多环境试验植物育种 植物育种培训集优化培训集优化

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Last Updated: Feb 12, 2026

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科学领域:

  • 植物育种 植物育种
  • 定量遗传学 是一种定量遗传学.
  • 基因组学就是基因组学.

背景情况:

  • 基因组选择 (GS) 有助于识别植物育种的优质基因型.
  • 基因型与环境 (G×E) 相互作用使多环境试验 (METs) 中基因型性能评估复杂化.

研究的目的:

  • 在多环境试验 (METs) 中开发和评估基因组选择 (GS) 的培训组优化方法.
  • 为了比较CDmean (v2) 和CD (mean.MET) 优化标准的效率与使用选择重点指标的随机抽样.

主要方法:

  • 使用了GS预测模型,结合了固定的环境特异性手段,随机添加基因效应和G×E相互作用.
  • 两个优化方法,CDmean.v2和CDmean.MET,使用模拟实验与真实作物基因型数据 (大米,大麦,玉米) 进行了评估.
  • 训练组的表现被评估使用正常化的折扣累积收益,斯皮尔曼的等级相关性和等级总和比率.

主要成果:

  • CDmean (v2) 方法在识别各种作物数据集中表现最好的基因型方面始终表现出高效率.
  • 在选择精英基因型时,CDmean (v2) 优于随机抽样和CDmean (MET) 的表现.
  • 该TrainSel包提供了CDmean的有效实施,用于实际应用.

结论:

  • 对于GS辅助育种计划,CDmean(v2) 优化方法是推的,因为它在识别精英基因型方面具有卓越的性能.
  • 这种方法为METs的培训集优化提供了一种实用且计算效率高的解决方案.
  • 有效的培训集选择对于最大限度地提高植物育种计划中GS的好处至关重要.