Pedosphere 32(3): 463--474, 2022
ISSN 1002-0160/CN 32-1315/P
©2022 Soil Science Society of China
Published by Elsevier B.V. and Science Press
Key variable for simulating critical nitrogen dilution curve of wheat: Leaf area ratio-driven approach
Ke ZHANG1,2,3,4,5, Jifeng MA1,2,3,4,5, Yu WANG1,2,3,4,5, Weixing CAO1,2,3,4,5, Yan ZHU1,2,3,4,5, Qiang CAO1,2,3,4,5, Xiaojun LIU1,2,3,4,5, Yongchao TIAN1,2,3,4,5
1National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing 210095(China)
2Engineering Research Center of Smart Agriculture, Ministry of Education, Nanjing Agricultural University, Nanjing 210095(China)
3Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095(China)
4Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095(China)
5Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095(China)
ABSTRACT
      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.
Key Words:  agronomic parameter,grain yield,leaf area index,nitrogen nutrition index,nitrogen status,nitrogen use efficiency
Citation: Zhang K, Ma J F, Wang Y, Cao W X, Zhu Y, Cao Q, Liu X J, Tian Y C. 2022. Key variable for simulating critical nitrogen dilution curve of wheat: Leaf area ratio-driven approach. Pedosphere. 32(3): 463–474.
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