从数据到决策:水果农业的范式转变通过整合多种学科,现代表型和尖端生物信息工具
Patricia Pacheco-Ruiz1, Sonia Osorio1, José G Vallarino1
1Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora", Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Málaga, Spain.
Frontiers in plant science
|December 26, 2025
概括
新的水果育种技术有望快速的基因组发现,但由于持续的瓶,无法到达农民. 克服数据整合,表型和保护挑战对于可持续的水果农业至关重要.
科学领域:
- 农业科学 农业科学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 水果农业正在迅速推进多种奥米克,高吞吐量表型化和机器学习.
- 尽管技术进步,基因组的发现和实际应用在农民的领域之间仍然存在很大的差距.
研究的目的:
- 分析阻碍将基因组发现转化为改进的水果品种的瓶.
- 批判性地评估新技术对果作物遗传和代谢多样性的影响.
- 确定可持续和弹性水果生产所需的系统变化.
主要方法:
- 在水果育种中对多组学,表型化和机器学习的当前文献的综述.
- 对复杂特征的数据整合挑战和表型化局限性的批判性分析.
- 评估创新与生物多样性保护在水果作物改进中的相互作用.
主要成果:
- 技术进步并没有消除,而是转移了水果作物改进中的瓶.
- 关键的挑战包括整合异质的多学科数据,表型复杂的特征,以及平衡创新与生物多样性保护.
- 交付改进品种的时间和成本仍然相当大,类似于过去的几十年.
结论:
- 果种育种面临着一个"死亡之谷",基因组发现难以到达农民.
- 应对数据至决策的挑战需要为可持续,弹性和高质量的水果生产进行系统性变革.
- 整合多样化的数据集和改善表型是未来进步的关键.
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