基于无人机多源影像数据的灌浆期人工合成小麦抗旱性评价  

Drought Resistance Evaluation of Synthetic Wheat at Grain Filling Using UAV-Based Multi-Source Imagery Data

作　　者：燕雯 金秀良 李龙[2] 徐子涵 苏悦 张跃强[3] 景蕊莲[2] 毛新国[2] 孙黛珍[1] YAN Wen;JIN XiuLiang;LI Long;XU ZiHan;SU Yue;ZHANG YueQiang;JING RuiLian;MAO XinGuo;SUN DaiZhen(College of Agronomy,Shanxi Agricultural University,Taigu 030801,Shanxi;Institute of Crop Sciences,Chinese Academy of Agricultural Sciences/State Key Laboratory of Crop Gene Resources and Breeding,Beijing 100081;Institute of Nuclear and Biological Technologies,Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region,Ministry of Agriculture and Rural Affairs/Xinjiang Key Laboratory of Crop Biotechnology,Urumqi 830091)

机构地区：[1]山西农业大学农学院,山西太谷030801 [2]中国农业科学院作物科学研究所/作物基因资源与育种全国重点实验室,北京100081 [3]新疆农业科学院核技术生物技术研究所/农业农村部荒漠绿洲区作物生理生态与耕作重点实验室/新疆作物生物技术重点实验室,乌鲁木齐830091

出　　处：《中国农业科学》2024年第9期1674-1686,共13页Scientia Agricultura Sinica

基　　金：国家重点研发计划(2023YFD1201003,2022YFD1200201);国家小麦产业技术体系(CARS-03-5)。

摘　　要：【目的】基于无人机多源影像及产量数据评价人工合成小麦种质的抗旱性,优选高通量抗旱性鉴定指标,发掘抗旱人工合成小麦种质资源,为加快拓展小麦抗旱遗传资源、提升旱地小麦育种水平提供技术支撑和种质材料。【方法】以80份人工合成小麦种质及对照小麦品种新春37为试验材料,在田间进行小区播种,设置干旱和灌溉2种水分处理;利用无人机搭载多光谱及热红外相机采集试验材料灌浆期多源影像进行拼接处理,通过阈值分割等方法提取各试验材料的光谱指数;利用相关性分析和主成分分析鉴选抗旱相关光谱指标,结合单指标及综合评价方法鉴定人工合成小麦种质的抗旱性。【结果】基于无人机多源影像数据提取了80份人工合成小麦种质的19种光谱指数。不同光谱指数抗旱系数与小区产量抗旱指数的相关性分析结果表明,OSAVI的抗旱系数与抗旱指数的关联度最高,NDVI、CIre和NDRE的抗旱系数与抗旱指数的关联度较高。部分光谱指数的抗旱系数间相关性较高,存在冗余信息,通过主成分分析,将19个光谱指数的抗旱系数转换为3个相互独立的综合指标,3个综合指标的贡献度分别为59.6%、12.0%和9.6%。利用加权隶属函数法聚合综合指标,通过公式计算获得各人工合成小麦种质的综合抗旱性度量值。基于抗旱指数鉴定出6份强抗旱人工合成小麦种质,基于综合抗旱性度量值鉴定出5份强抗旱种质,其中,SW004和SW009在2种方法的评价结果中均被评为强抗旱种质。基于OSAVI的抗旱系数对80份人工合成小麦种质进行抗旱性分级,分级结果与基于综合抗旱性度量值的分级结果基本一致。根据OSAVI的抗旱系数鉴定出的6份强抗旱种质中,有5份在基于综合抗旱性度量值分级中也被鉴定为强抗旱种质。【结论】基于无人机多源影像提取的光谱指数NDVI、OSAVI、CIre和NDRE,以及基于光谱指数【Objective】To evaluate the drought resistance of synthetic wheat germplasm based on multi-source images collected by unmanned aerial vehicle(UAV)and yield data,explore high-throughput indices for drought resistance evaluation,and identify synthetic wheat germplasm resources with drought resistance.This provides technical support and germplasm materials for accelerating the expansion of drought-resistant genetic resources for wheat and enhancing the level of breeding for dryland wheat.【Method】Eighty synthetic wheat germplasm and the control variety Xin Chun 37 were used as plant materials,which were sown in the field and treated with a water regime of drought stress and irrigation.Multi-source images of test materials during filling stage were collected by multi-spectral and thermal infrared cameras equipped with unmanned aerial vehicle,and the spectral index of each test material was extracted by threshold segmentation.The analyses of Pearson’s correlation and principal component were performed to identify drought resistance-related spectral indices,and the drought resistance of each synthetic wheat germplasm was determined by single index and comprehensive evaluation methods.【Result】The drought resistance coefficients of 19 spectral indices of 80 synthetic wheat germplasm were calculated based on multisource imagery data obtained from unmanned aerial vehicles.The correlation analysis between the spectral indices and the yield-based drought index(DRI)showed that among the drought resistance coefficients of the 19 spectral indices,OSAVI exhibited the highest correlation with the drought index,while NDVI,CIre,and NDRE demonstrated relatively strong associations with the drought index.However,the different drought indices showed a high correlation,resulting in redundant information.The drought resistance coefficients of the 19 spectral indices were transformed into three independent comprehensive indicators through principal component analysis,with contribution rates of 59.6%,12.0%and 9.6%,respectively

关 键 词：多源影像 光谱指数 人工合成小麦 抗旱性 灌浆期 

分 类 号：S512.1[农业科学—作物学]