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The Effects of Quantitative Trait Architecture on Detection Power in Short-Term Artificial Selection Experiments
Evolve and resequence (E&R) experiments, in which artificial selection is imposed on organisms in a controlled environment, are becoming an increasingly accessible tool for studying the genetic basis of adaptation. Previous work has assessed how different experimental design parameters affect th...
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| 出版年: | G3 (Bethesda) |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Genetics Society of America
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7466968/ https://ncbi.nlm.nih.gov/pubmed/32646912 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.120.401287 |
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