Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data

文献类型： 外文期刊

第一作者： Bai, Xiulin

作者： Bai, Xiulin;He, Yong;Zhang, Jinnuo;Tao, Mingzhu;Wu, Qingguan;Yang, Guofeng;Feng, Xuping;Fang, Hui;Wei, Yuzhen;Tang, Yu;Tang, Lie;Lou, Binggan;Deng, Shuiguang;Yang, Yong

作者机构：

期刊名称：PLANT PHENOMICS （ 影响因子：6.5； 五年影响因子：7.5 ）

ISSN： 2643-6515

年卷期： 2023 年 5 卷

页码：

收录情况： SCI

摘要： Bacterial blight poses a threat to rice production and food security, which can be controlled through large-scale breeding efforts toward resistant cultivars. Unmanned aerial vehicle (UAV) remote sensing provides an alternative means for the infield phenotype evaluation of crop disease resistance to relatively time-consuming and laborious traditional methods. However, the quality of data acquired by UAV can be affected by several factors such as weather, crop growth period, and geographical location, which can limit their utility for the detection of crop disease and resistant phenotypes. Therefore, a more effective use of UAV data for crop disease phenotype analysis is required. In this paper, we used time series UAV remote sensing data together with accumulated temperature data to train the rice bacterial blight severity evaluation model. The best results obtained with the predictive model showed an Rp2 of 0.86 with an RMSEp of 0.65. Moreover, model updating strategy was used to explore the scalability of the established model in different geographical locations. Twenty percent of transferred data for model training was useful for the evaluation of disease severity over different sites. In addition, the method for phenotypic analysis of rice disease we built here was combined with quantitative trait loci (QTL) analysis to identify resistance QTL in genetic populations at different growth stages. Three new QTLs were identified, and QTLs identified at different growth stages were inconsistent. QTL analysis combined with UAV high-throughput phenotyping provides new ideas for accelerating disease resistance breeding.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序