Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa

Computer Science > Computer Vision and Pattern Recognition arXiv:2610.19154 (cs) [Submitted on 13 Oct 2026] Title: Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa. Authors: Yanben Shen, Joscif Raigne, Asheesh Singh, Arti Singh.

计算机科学 > 计算机视觉与模式识别 arXiv:2610.19154 (cs) [提交于 2026 年 10 月 13 日] 标题：支持爱荷华州田间豌豆育种的农艺表征与时间序列无人机表型分析。作者：Yanben Shen, Joscif Raigne, Asheesh Singh, Arti Singh。

Abstract: Field pea has gained interest in the Midwest U.S. and has the potential to benefit Iowa cropping systems. This study evaluated 17 accessions and 7 Canadian varieties for agronomic and seed yield performance. This study found that PI accession trials exhibit genetic diversity in phenology and canopy traits, whereas the Canadian elite varieties demonstrated great yield potential under Iowa conditions.

摘要：田间豌豆在美国中西部地区引起了关注，并有潜力造福爱荷华州的种植系统。本研究评估了 17 个种质资源和 7 个加拿大品种的农艺和种子产量表现。研究发现，PI 种质资源试验在物候和冠层性状方面表现出遗传多样性，而加拿大优良品种在爱荷华州的条件下展现出巨大的产量潜力。

The accession genotypes matured between 75 DAP (late June) and 95 DAP (late July) across six site-years. The top-yielding Canadian varieties averaged 1961 kg/ha across two site-years. To comprehensively assess field pea performance, this study extracted time-series Unmanned Aerial Vehicle (UAV)-derived traits, assessed UAV-derived traits, and evaluated their correlations with multiple agronomic traits and yield.

在六个试验点年份中，这些种质基因型的成熟期在播种后 75 天（6 月下旬）至 95 天（7 月下旬）之间。产量最高的加拿大品种在两个试验点年份的平均产量为 1961 公斤/公顷。为了全面评估田间豌豆的性能，本研究提取了时间序列无人机（UAV）衍生性状，评估了这些无人机衍生性状，并评价了它们与多种农艺性状及产量的相关性。

The results found that UAV-derived time-series canopy area was the most yield-relevant trait (r = 0.63) among all UAV-derived canopy features, vegetation indices, and manually collected measurements. Compared with yield, UAV-derived canopy area showed higher selection reliability (H2 = 0.87, CV = 13.46%), making it suitable for phenotypic selection and accelerating Midwest field pea breeding programs.

结果发现，在所有无人机衍生的冠层特征、植被指数和人工采集的测量数据中，无人机衍生的时间序列冠层面积是与产量相关性最高的性状（r = 0.63）。与产量相比，无人机衍生的冠层面积表现出更高的选择可靠性（H2 = 0.87，CV = 13.46%），使其适用于表型选择，并能加速中西部地区的田间豌豆育种计划。

This study identifies useful UAV-derived features for pea breeding and demonstrates the value of integrating diverse germplasm, elite commercial varieties, and time-series UAV phenotyping. Combining genetic variation from the accession trial with the yield potential of high-performing commercial varieties provides valuable breeding materials and phenotyping strategies for developing locally adapted, high-yielding field pea varieties for future production in the Midwest.

本研究确定了对豌豆育种有用的无人机衍生特征，并证明了整合多样化种质、优良商业品种和时间序列无人机表型分析的价值。将种质资源试验中的遗传变异与高性能商业品种的产量潜力相结合，为开发适应当地、高产的田间豌豆品种以供中西部未来生产提供了宝贵的育种材料和表型分析策略。