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High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat
GigaScience ( IF 11.8 ) Pub Date : 2019-11-19 , DOI: 10.1093/gigascience/giz120
Xu Wang 1 , Hong Xuan 2 , Byron Evers 1 , Sandesh Shrestha 1 , Robert Pless 2 , Jesse Poland 1
Affiliation  

Measurement of plant traits with precision and speed on large populations has emerged as a critical bottleneck in connecting genotype to phenotype in genetics and breeding. This bottleneck limits advancements in understanding plant genomes and the development of improved, high-yielding crop varieties.

中文翻译:


深度学习的高通量表型分析可深入了解小麦开花时间的遗传结构



对大量群体进行精确、快速的植物性状测量已成为遗传和育种中将基因型与表型联系起来的关键瓶颈。这一瓶颈限制了植物基因组理解的进步以及改良高产作物品种的开发。
更新日期:2019-11-19
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