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The plant genome. 2025 Mar;18(1):e20545. doi: 10.1002/tpg2.20545 Q13.82025

Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program

利用历史农学数据开发基因组预测策略以早期系谱选择在美国路易斯安那州甘蔗品种育种计划中的应用 翻译改进

Dipendra Shahi  1, James Todd  2, Kenneth Gravois  3, Anna Hale  2, Brayden Blanchard  3, Collins Kimbeng  3, Michael Pontif  3, Niranjan Baisakh  1

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作者单位

  • 1 School of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, Louisiana, USA.
  • 2 Sugarcane Research Unit, USDA-ARS, Houma, Louisiana, USA.
  • 3 Sugar Research Station, Louisiana State University Agricultural Center, St. Gabriel, Louisiana, USA.
  • DOI: 10.1002/tpg2.20545 PMID: 39740237

    摘要 Ai翻译

    Genomic selection can enhance the rate of genetic gain of cane and sucrose yield in sugarcane (Saccharum L.), an important industrial crop worldwide. We assessed the predictive ability (PA) for six traits, such as theoretical recoverable sugar (TRS), number of stalks (NS), stalk weight (SW), cane yield (CY), sugar yield (SY), and fiber content (Fiber) using 20,451 single nucleotide polymorphisms (SNPs) with 22 statistical models based on the genomic estima... ...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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    Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program