首页|Key variable for simulating critical nitrogen dilution curve of wheat:Leaf area ratio-driven approach

Key variable for simulating critical nitrogen dilution curve of wheat:Leaf area ratio-driven approach

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Nitrogen (N) dilution curves, a pivotal tool for N nutrition diagnosis, have been developed using different winter wheat (Triticum aestivum L.) tissues. However, few studies have attempted to establish critical nitrogen (Nc) dilution curves based on the leaf area ratio (LAR) to improve the monitoring accuracy of N status. In this study, three field experiments using eight N treatments and four wheat varieties were conducted in Jiangsu Province of China from 2013 to 2016. The empirical relationship of LAR with shoot biomass (expressed as dry matter) was developed under different N conditions. The results showed that LAR was a reliable index, which reduced the effects of wheat varieties and years compared with the traditional indicators. The N nutrition index (NNI) based on the LAR approach (NNI-LAR) produced equivalent results to that based on shoot biomass. Moreover, the NNI-LAR better predicted accumulated N deficit and best estimated the relative yield compared with the other two indicator-based NNI models. Therefore, the LAR-based approach improved the prediction accuracy of Nc , accumulated N deficit, and relative yield, and it would be an optimal choice to conveniently diagnose the N status of winter wheat under field conditions.

agronomic parametergrain yieldleaf area indexnitrogen nutrition indexnitrogen statusnitrogen use efficiency

Ke ZHANG、Jifeng MA、Yu WANG、Weixing CAO、Yan ZHU、Qiang CAO、Xiaojun LIU、Yongchao TIAN

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National Engineering and Technology Center for Information Agriculture,Nanjing Agricultural University,Nanjing 210095(China)

Engineering Research Center of Smart Agriculture,Ministry of Education,Nanjing Agricultural University,Nanjing 210095(China)

Key Laboratory for Crop System Analysis and Decision Making,Ministry of Agriculture and Rural Affairs,Nanjing Agricultural University,Nanjing 210095(China)

Jiangsu Key Laboratory for Information Agriculture,Nanjing Agricultural University,Nanjing 210095(China)

J

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National Research Institute for AgricultureFood and EnvironmentFranceDr.Syed Tahir Ata-Ul-Karim from The University of TokyoJapanand Dr.Xiaoling Wang from Nan-jing Agricultural UniversityChinEarmarked Fund for Jiangsu Agricultural Industry Technology SystemChinaEarmarked Fund for Jiangsu Agricultural Industry Technology SystemChinaFund of Jiangsu Agricultural Science and Technology InnovationChinaJiangsu Provincial Key Technologies R&D Program of China

32071903JATS2020415JATS2020135203072BE2019386

2022

10.1016/S1002-0160(21)60086-3

土壤圈(英文版)
中国土壤学会,中科院南京土壤研究所和土壤与农业可持续发展国家重点实验室

土壤圈(英文版)

CSTPCDCSCDSCI
影响因子：0.477
ISSN：1002-0160
年,卷(期)：2022.32(3)
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