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卫星图像用于繁殖场的高通量表型化

Francisco Pinto¹, Mainassara Zaman-Allah², Matthew Reynolds¹

¹Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.

Frontiers in plant science

|June 1, 2023

概括

高分辨率卫星图像,特别是SkySat,显示了在作物育种中具有成本效益,高通量表型化的前景. 这项技术可以可靠地跟踪植物生长和遗传差异,帮助作物改进工作.

科学领域:

农业科学农业科学
遥感遥感遥感遥感
植物育种植物育种

背景情况:

由于昂贵和复杂的表型化方法阻碍了作物育种的进步.
卫星图像为远程农作物监测提供了可扩展的解决方案,但低分辨率一直是限制.
新的高分辨率卫星为克服以前的空间分辨率限制提供了机会.

研究的目的:

评估SkySat时间序列图像对于小麦和玉米育种地块的表型化有用性.
从高分辨率卫星数据评估NDVI估计的可靠性.
确定这种方法在育种试验中检测季节性变化和基因型变异的能力.

主要方法:

利用来自SkySat星座 (0.5米分辨率) 的时间序列多光谱图像.
估计规范差异植被指数 (NDVI) 适用于不同大小和间隔的小麦和玉米地块.
评估了NDVI可靠性,季节性变化和基因型差异检测.

主要成果:

天空卫星图像可靠地估计了小麦和玉米育种场地的NDVI.
该方法成功检测到季节性植被变化.
使用这种方法,可以发现繁殖场内的基因型差异.

结论:

使用SkySat的高分辨率卫星表型是作物育种的可行工具.
这项技术可以增强高通量表型,降低成本,并标准化协议.
未来的应用包括在育种计划中更广泛地实施,以获得更快的遗传收益和提高作物弹性.

关键词:

这是一种繁殖繁殖.高通量表型化 (high-throughput phenotyping) 是一种高通量表型化方法.玉米玉米玉米是一种正常化的差异植被指数优化的土壤调整植被指数.卫星卫星卫星卫星卫星卫星卫星卫星卫星.小麦小麦小麦小麦小麦小麦小麦.

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