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综合基因组选择,以加速气候智能谷物育种计划

Dwaipayan Sinha¹, Arun Kumar Maurya², Gholamreza Abdi³

¹Department of Botany, Government General Degree College, Mohanpur 721436, India.

|July 29, 2023

概括

综合基因组选择 (IGS) 通过结合分子标记物,速度育种和机器学习来增强作物育种. 这种方法加速了气候适应性作物的发展,以满足全球粮食需求.

科学领域:

农业科学农业科学
遗传学是一个遗传学.
植物育种植物育种

背景情况:

全球人口增长和气候变化需要增加农业生产和适应气候的作物.
人类活动导致环境退化,影响作物产量和生物多样性.
传统的植物育种方法正在被特征选择的分子技术所推进.

研究的目的:

审查综合基因组选择 (IGS) 策略,以开发气候智能作物.
突出IGS在提高作物产量和抗压能力方面的潜力.
讨论IGS在谷物作物中的应用,以实现可持续农业.

主要方法:

基因组选择 (GS) 使用分子遗传标记用于特征评估.
集成先进的技术,如速度繁殖和机器学习与GS.
分析作物形态生理学,统计工具和生物信息学.

主要成果:

基因组选择 (GS) 与传统方法相比,通过缩短繁殖期和增加复杂特征的遗传收益,提供了优势.
综合基因组选择 (IGS) 通过结合速度育种,机器学习和环境数据,进一步提高育种效率.
IGS显示了开发具有改善非生物应激耐受性的作物的巨大潜力.

结论:

IGS是开发适应气候变化的作物的强大工具,以确保粮食安全.
在IGS中集成先进技术可以加速繁殖周期,提高选择精度.
IGS战略对于农业适应气候变化和满足全球粮食需求至关重要.

关键词:

气候智能的谷物谷物基因组增益是基因组的增益.基因组选择基因组选择综合基因组选择综合基因组选择用标记器辅助的选择.

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