Both stalk and root lodging can cause significant yield losses in maize; however, maize plants are often able to recover from root lodging. There is potential among breeding programs for developing lines that are more tolerant and can more rapidly recover from root lodging. We assessed the incidence of root lodging utilizing end-of-season lodging scores collected among the Genomes 2 Fields (G2F) initiative trials and found a large yet variable incidence of lodging across states, years, and genotypes. Lodging in this dataset was scored manually at the end of the season, and little is known about the drivers of lodging and lodging recovery. We therefore developed an approach for utilizing temporal plant height measurements collected from unmanned aerial vehicles to capture in-season lodging and recovery in a yield trial consisting of 24 maize hybrids planted in replicate under two dates and three planting densities in St Paul, MN in the summers of 2018 and 2019. We found that growth rates during vegetative development as well as the developmental timing of plants when exposed to a storm are predictive of the amount of lodging maize plots will experience. We also found that utilizing temporal height measurements can help in not just estimating lodging and early vegetative growth rates, but that utilizing these estimates can also aid in assessing end of season yield.

秸秆和根系倒伏均可导致玉米的大量减产。但是，玉米植物通常能够从根倒伏中恢复过来。在育种计划中，有可能开发出更具耐受性的品系，并且可以更快地从根倒伏中恢复过来。我们利用在基因组2领域（G2F）倡议试验中收集的季末倒伏分数评估了根倒伏的发生率，发现各州，年份和基因型之间倒伏发生的可能性很大。该数据集中的住宿是在本赛季结束时手动评分的，对住宿和住宿恢复的驱动因素知之甚少。因此，我们开发了一种利用从无人飞行器中收集的临时植物高度测量值来捕获季节倒伏和恢复的方法，该试验包括在明尼苏达州圣保罗市以两个日期重复种植的24个玉米杂交种和三个种植密度。我们发现，在2018年和2019年夏季，营养生长期间的生长速率以及暴风雨中植物的生长时间都可以预测玉米地块的倒伏量。我们还发现，利用时间高度测量不仅可以帮助估计倒伏和早期营养生长速率，而且可以利用这些估计值还可以帮助评估季末产量。我们发现，营养生长期间的生长速率以及暴风雨中植物的发育时机可以预测玉米地块的倒伏量。我们还发现，利用时间高度测量不仅可以帮助估计倒伏和早期植物生长率，而且可以利用这些估计值来帮助评估季末单产。我们发现，营养生长期间的生长速率以及暴风雨中植物的发育时机可以预测玉米地块的倒伏量。我们还发现，利用时间高度测量不仅可以帮助估计倒伏和早期营养生长速率，而且可以利用这些估计值还可以帮助评估季末产量。