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对于小米改善的OMIC资源的潜力

Banshidhar¹, Saurabh Pandey², Ashutosh Singh³

¹Lovely Professional University, Jalandhar - Delhi G.T. Road, Phagwara, Punjab, 144411, India.

Functional & integrative genomics

|June 24, 2023

概括

基因组数据和omics工具正在彻底改变小米改进. 下一代测序 (NGS) 能够实现精确的繁殖,以提高气候适应性小米的营养价值和产量.

科学领域:

农业科学农业科学
基因组学就是基因组学.
生物技术是生物技术.

背景情况:

米尔特是气候适应性,营养丰富的谷物,由于有限的集中改进策略,其产量潜力尚未实现.
遗传学资源的稀缺性在历史上阻碍了有效的小米育种计划.

研究的目的:

审查下一代测序 (NGS) 和omics技术的整合,以推进小米的改善.
突出这些先进工具的潜力,克服传统育种的局限性,提高营养价值和产量.

主要方法:

利用基因组数据和omics技术的进步,包括高通量基因型化平台.
利用下一代测序 (NGS) 在被忽视的谷物中以低成本获取基因组信息.
应用omics技术,如全基因组协会研究 (GWAS) 和基因组选择 (GS).

主要成果:

NGS提供了具有成本效益的基因组信息,对于诸如小米等被忽视的作物至关重要.
先进的奥米克工具促进了精确的生物技术干预和标记器辅助育种.
这些技术使得针对性特征的遗传变异能够被探索和结合起来.

结论:

奥米克技术和NGS为提高小米育种效率和精度提供了重大机会.
将基因组学与生物技术工具相结合,可以产生高产,营养优越的小米品种,适合气候变化.
使用先进的基因组资源的专注产量改善方法对于实现小米的全部潜力至关重要.

关键词:

全基因组关联研究研究.基因组选择基因组选择基因型定制是指基因型定制.一个小小的小牛.这是下一代测序.俄米克斯 (Omics) 是一个电子游戏.

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