Identifying Key Traits for Screening High-Yield Soybean Varieties by Combining UAV-Based and Field Phenotyping
文献类型： 外文期刊
作者： Yang, Chen 1 ; Yang, Guijun 1 ; Wang, Haorang 4 ; Li, Simeng 4 ; Zhang, Jiaoping 5 ; Pan, Di 2 ; Ren, Pengting 2 ; Feng, Haikuan 2 ; Li, Heli 2 ;
作者机构： 1.Henan Polytech Univ, Res Inst Quantitat Remote Sensing & Smart Agr, Sch Surveying & Mapping Land Informat Engn, Jiaozuo 454000, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Key Lab Quantitat Remote Sensing Agr, Minist Agr & Rural Affairs, Beijing 100097, Peoples R China
3.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China
4.Jiangsu Xuhuai Reg Inst Agr Sci, Xuzhou 221131, Peoples R China
5.Nanjing Agr Univ, MARA Natl Ctr Soybean Improvement, State Key Lab Crop Genet & Germplasm Enhancement, Nanjing 210095, Peoples R China
关键词： UAV; phenotyping; varieties screening; cluster; soybean traits
期刊名称：REMOTE SENSING （ 影响因子：4.1； 五年影响因子：4.8 ）
ISSN：
年卷期： 2025 年 17 卷 4 期
页码：
收录情况： SCI
摘要： The breeding of high-yield varieties is a core objective of soybean breeding programs, and phenotypic trait-based selection offers an effective pathway to achieve this goal. The aim of this study was to identify the key phenotypic traits of high-yield soybean varieties and to utilize these traits for screening high-yield soybean varieties. In this study, the UAV (unmanned aerial vehicle)- and field-based phenotypic data were collected from 1923 and 1015 soybean breeding plots at the Xuzhou experimental site in 2022 and 2023, respectively. First, the soybean varieties were grouped by using a self-organizing map and K-means clustering to investigate the relationships between various traits and soybean yield and to identify the key ones for selecting high-yield soybean varieties. It was shown that the duration of canopy coverage remaining above 90% (Tcc90) was a critical phenotypic trait for selecting high-yield varieties. Moreover, high-yield soybean varieties typically exhibited several key phenotypic traits such as rapid development of canopy coverage (Tcc90r, the time when canopy coverage first reached 90%), prolonged duration of high canopy coverage (Tcc90), a delayed decline in canopy coverage (Tcc90d, the time when canopy coverage began to decline below 90%), and moderate-to-high plant height (PH) and hundred-grain weight (HGW). Based on these findings, a method for screening high-yield soybean varieties was proposed, through which 87% and 72% of high-yield varieties (top 5%) in 2022 and 2023, respectively, were successfully selected. Additionally, about 9% (in 2022) and 10% (in 2023) of the low-yielding (bottom 60%) were misclassified as high-yielding. This study demonstrates the benefit of high-throughput phenotyping for soybean yield-related traits and variety screening and provides helpful insights into identifying high-yield soybean varieties in breeding programs.
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