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The plant genome. 2024 Jun 26:e20481. doi: 10.1002/tpg2.20481 Q13.82025

Leveraging genomics and temporal high-throughput phenotyping to enhance association mapping and yield prediction in sesame

利用基因组学和高通量表型组学提高芝麻关联分析及产量预测的研究 翻译改进

Idan Sabag  1  2, Ye Bi  2, Maitreya Mohan Sahoo  1, Ittai Herrmann  1, Gota Morota  2  3, Zvi Peleg  1

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作者单位

  • 1 The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel.
  • 2 School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.
  • 3 Center for Advanced Innovation in Agriculture, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.
  • DOI: 10.1002/tpg2.20481 PMID: 38926134

    摘要 Ai翻译

    Sesame (Sesamum indicum) is an important oilseed crop with rising demand owing to its nutritional and health benefits. There is an urgent need to develop and integrate new genomic-based breeding strategies to meet these future demands. While genomic resources have advanced genetic research in sesame, the implementation of high-throughput phenotyping and genetic analysis of longitudinal traits remains limited. Here, we combined high-throughput phenotyping a... ...点击完成人机验证后继续浏览
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    期刊名:Plant genome

    缩写:PLANT GENOME-US

    ISSN:N/A

    e-ISSN:1940-3372

    IF/分区:3.8/Q1

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    Leveraging genomics and temporal high-throughput phenotyping to enhance association mapping and yield prediction in sesame