Umani Kingsley, Zhang Chongyuan, McGee Rebecca J, Vandemark George J, Sankaran Sindhuja
Department of Biological System Engineering, Washington State University, Pullman, WA, United States.
Department of Botany and Plant Pathology, Purdue University, West Lafayette, Indiana, United States.
Data Brief. 2023 Dec 26;53:110013. doi: 10.1016/j.dib.2023.110013. eCollection 2024 Apr.
Crop yield potential in breeding trials can be captured using unmanned aerial vehicle (UAV) based multispectral imagery. Several digital traits or phenotypes such as vegetation indices can represent canopy crop vigor and overall plant health, which can be used to evaluate differences in performance across varieties in crop breeding programs. This dataset contains agronomic data for named cultivars and breeding lines of spring-sown dry pea and chickpea, and over 275 multispectral images from advanced and preliminary breeding trials. The breeding trials were located at three locations in the "Palouse" region of Eastern Washington and Northern Idaho of the United States across 2017, 2018 and 2019 cropping seasons. The multispectral images were captured using a UAV integrated with a 5-band multispectral camera at multiple time points from early vegetative growth through pod development stages during each cropping season. This dataset details seed yield information from trials of dry peas and chickpea that were obtained from each location, as well as additional agronomic and phenological data recorded at one location (mostly Pullman, WA) for each cropping season. The dataset also includes 20-78 megabytes (MB) Tagged Image Format (TIF) uncalibrated stitched orthomosaic images generated from the photogrammetric software. The images can be processed using any convenient image processing algorithm to obtain vegetation indices and other useful information.
在育种试验中，可利用基于无人机（UAV）的多光谱图像来获取作物产量潜力。一些数字性状或表型，如植被指数，能够表征作物冠层活力和整体植株健康状况，可用于评估作物育种计划中不同品种间的性能差异。该数据集包含春播干豌豆和鹰嘴豆的命名品种及育种系的农艺数据，以及来自高级和初级育种试验的275多张多光谱图像。育种试验于2017年、2018年和2019年种植季节在美国华盛顿州东部和爱达荷州北部的“帕卢斯”地区的三个地点进行。在每个种植季节，从营养生长早期到结荚发育阶段的多个时间点，使用配备5波段多光谱相机的无人机拍摄多光谱图像。该数据集详细记录了从每个地点的干豌豆和鹰嘴豆试验中获得的种子产量信息，以及每个种植季节在一个地点（主要是华盛顿州普尔曼）记录的其他农艺和物候数据。该数据集还包括由摄影测量软件生成的20 - 78兆字节（MB）的标记图像格式（TIF）未校准拼接正射镶嵌图像。这些图像可使用任何方便的图像处理算法进行处理，以获取植被指数和其他有用信息。
