卫星支持的环境学,以加强作物改进
Rafael T Resende1, Lee Hickey2, Cibele H Amaral3
1Universidade Federal de Goiás (UFG), Agronomy Department, Plant Breeding Sector, Goiânia (GO) 74690-900, Brazil; TheCROP, a Precision-Breeding Startup: Enviromics, Phenomics, and Genomics, No Zip-code, Operating Virtually, Goiânia (GO) and Sete Lagoas (MG), Brazil.
Molecular plant
|April 19, 2024
概括
Enviromics使用大型环境数据集来指导植物育种,以提高作物表现. 这种方法整合了遗传学,环境和遥感,以预测在气候变化中作物产量.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 遗传学 遗传学 是一个
背景情况:
- 环境学使用大规模的环境数据集来描述环境.
- 它为特定地点的植物育种提供了基因型建议,这对于气候变化适应至关重要.
- 整合环境类型和遥感有助于理解遗传学,环境和管理之间的复杂相互作用.
研究的目的:
- 突出环境学在改善作物育种和预测绩效方面的潜力.
- 通过详尽的环境定型,强调需要精确的环境定型.
- 讨论信息学平台和各种传感器数据在环境学研究中的作用.
主要方法:
- 使用来自光学,热,雷达和LiDAR传感器的大规模环境数据集.
- 聚合各种环境数据与自由可用的气候信息.
- 利用信息管理平台进行数据集成和分析.
主要成果:
- 环境学可以显著改善对基因型表现和作物遗传收益的预测.
- 多种传感器数据提供了关于植被,表面结构和地形的详细信息.
- 创新的环境学研究是由各种数据源的整合推动的.
结论:
- 环境科学具有巨大的潜力,可以改变农业和作物改进.
- 关键的挑战包括开发集成方法,先进的AI模型,强大的网络基础设施和促进合作.
- 克服这些障碍对于利用来自卫星的大数据来实现21世纪农业至关重要.
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