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Updated: May 26, 2025

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现实的表型变化场景和高通量表型化实验中的错误对QTL映射分析结果的影响最小

Aliyah Brewer1, Anna Underhill2, Surya Sapkota3

  • 1Cornell University, Plant Breeding and Genetics, 15 Castle Creek Dr, Geneva, New York, United States, 14456; anb79@cornell.edu.

Phytopathology
|February 25, 2025
PubMed
概括

高通量表型化对植物育种中的错误具有强大耐受性. 这些技术增加的数据量超过了定量特征位置 (QTL) 映射的微小数据不准确性.

关键词:
生物信息学是一种生物信息学.疾病耐药性 疾病耐药性

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