Most existing agronomic trait models of winter wheat vary across growing seasons,and it is an open question whether a unified statistical model can be developed to predict agronomic traits using a vegetation index(Ⅵ)across multiple growing seasons.In this study,we constructed a hierarchical linear model(HLM)to automatically adapt the relationship between VIs and agronomic traits across growing seasons and tested the model's performance by sensitivity analysis.Results demonstrated that(1)optical VIs give poor performance in predicting AGB and PNC across all growth stages,whereas VIs perform well for LAI,LGB,LNC,and SPAD.(2)The sensitivity indices of the phenological information in the AGB and PNC prediction models were 0.81-0.86 and 0.66-0.73,whereas LAI,LGB,LNC,and SPAD prediction mod-els produced sensitivity indexes of 0.01-0.02,0.01-0.02,0.01-0.02,and 0.02-0.08,respectively.(3)The AGB and PNC prediction models considering ZS were more accurate than the prediction models based onⅥ.Whether or not phenological information is used,there was no difference in model accuracy for LGB,LNC,SPAD,and LAI.This study may provide a guideline for deciding whether phenological correction is required for estimation of agronomic traits across multiple growing seasons.

Yu Zhao;Yang Meng;Shaoyu Han;Haikuan Feng;Guijun Yang;Zhenhai Li

Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs,Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China;Collaborative Innovation Center for Modern Crop Production Co-sponsored by Province and Ministry,Nanjing Agricultural University,Nanjing 210095,Jiangsu,China;College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,Shandong,China

作物学报（英文版）

[1]Yu Zhao;Yang Meng;Shaoyu Han;Haikuan Feng;Guijun Yang;Zhenhai Li-.Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?)[J].作物学报（英文版）,2022(05):1346-1352

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