Using leaf dry matter to quantify the critical nitrogen dilution curve for winter wheat cultivated in eastern China

2014 ◽  
Vol 159 ◽  
pp. 33-42 ◽  
Author(s):  
Xia Yao ◽  
Ben Zhao ◽  
Yong Chao Tian ◽  
Xiao Jun Liu ◽  
Jun Ni ◽  
...  
2020 ◽  
Vol 11 ◽  
Author(s):  
Yu Zhao ◽  
Pengfei Chen ◽  
Zhenhai Li ◽  
Raffaele Casa ◽  
Haikuan Feng ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e104540 ◽  
Author(s):  
Syed Tahir Ata-Ul-Karim ◽  
Xia Yao ◽  
Xiaojun Liu ◽  
Weixing Cao ◽  
Yan Zhu

Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 500
Author(s):  
Ke Zhang ◽  
Xue Wang ◽  
Xiaoling Wang ◽  
Syed Tahir Ata-Ul-Karim ◽  
Yongchao Tian ◽  
...  

Accurately summarizing Nitrogen (N) content as a prelude to optimal N fertilizer application is complicated during the vegetative growth period of all the crop species studied. The critical nitrogen (N) concentration (Nc) dilution curve is a stable diagnostic indicator, which performs plant critical N concentration trends as crop grows. This study developed efficient technologies for different organ-based (plant dry matters (PDM), leaf DM (LDM), stem DM (SDM), and leaf area index (LAI)) estimation of Nc curves to enrich the practical applications of precision N management strategies. Four winter wheat cultivars were planted with 10 different N treatments in Jiangsu province of eastern China. Results showed the SDM-based curve had a better performance than the PDM-based curve in N nutrition index (NNI) estimation, accumulated N deficit (AND) calculation, and N requirement (NR) determination. The regression coefficients ‘a’ and ‘b’ varied among the four critical N dilution models: Nc = 3.61 × LDM–0.19, R2 = 0.77; Nc = 2.50 × SDM–0.44, R2 = 0.89; Nc = 4.16 × PDM–0.41, R2 = 0.87; and Nc = 3.82 × LAI–0.36, R2 = 0.81. In later growth periods, the SDM-based curve was found to be a feasible indicator for calculating NNI, AND, and NR, relative to curves based on the other indicators. Meanwhile, the lower LAI-based curve coefficient variation values stated that leaf-related indicators were also a good choice for developing the N curve with high efficiency as compared to other biomass-based approaches. The SDM-based curve was the more reliable predictor of relative yield because of its low relative root mean square error in most of the growth stages. The curves developed in this study will provide diverse choices of indicators for establishing an integrated procedure of diagnosing wheat N status, and improving the accuracy and efficiency of wheat N fertilizer management.


2021 ◽  
Vol 266 ◽  
pp. 108139
Author(s):  
Ke Zhang ◽  
Xiaojun Liu ◽  
Yong Ma ◽  
Yanyu Wang ◽  
Qiang Cao ◽  
...  

2020 ◽  
Vol 47 (3) ◽  
pp. 530-545
Author(s):  
Wen-Nan SU ◽  
Jun XIE ◽  
Juan HAN ◽  
Tie-Ning LIU ◽  
Qing-Fang HAN

2019 ◽  
Vol 18 (10) ◽  
pp. 2369-2380
Author(s):  
Sheng-cai QIANG ◽  
Fu-cang ZHANG ◽  
Miles Dyck ◽  
Yan ZHANG ◽  
You-zhen XIANG ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0164545 ◽  
Author(s):  
Ben Zhao ◽  
Syed Tahir Ata-UI-Karim ◽  
Xia Yao ◽  
YongChao Tian ◽  
WeiXing Cao ◽  
...  

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 367
Author(s):  
Lijuan Song ◽  
Shu Wang ◽  
Wanjun Ye

In order to investigate the feasibility of using rice leaf critical nitrogen concentration as a nitrogen nutrition diagnosis index, a three-year positioning experiment with large-spike rice cultivar (Wuyoudao4) and multiple-spike rice cultivar (Songjing9) under five nitrogen levels (0, 60, 120, 180, and 240 kg·ha−1) was conducted. A critical nitrogen dilution curve and a nitrogen nutrition index (NNI) of rice leaf dry matter were constructed for Wuyoudao4 (Nc = 1.96LDM−0.56, R2 = 0.87, NNI was between 0.6–1.26, and Normalized Root Mean Square Error (n-RMSE) = 13.07%) and Songjing9 (Nc = 1.99LDM−0.44, R2 = 0.94, NNI was between 0.64–1.29, and n-RMSE = 15.89%). The relationship between dry matter and nitrogen concentration of rice leaves was a negative power function, and the model had good stability over the three years. The developed critical nitrogen concentration dilution curve, based on leaf dry matter, was able to diagnose nitrogen nutrition in rice efficiently. The model established in this study could be used to directly regulate and control the nitrogen nutrition of rice leaves.


2017 ◽  
Vol 208 ◽  
pp. 60-68 ◽  
Author(s):  
Ben Zhao ◽  
Syed Tahir Ata-Ul-Karim ◽  
Zhandong Liu ◽  
Dongfeng Ning ◽  
Junfu Xiao ◽  
...  

2012 ◽  
Vol 104 (2) ◽  
pp. 523-529 ◽  
Author(s):  
Shanchao Yue ◽  
Qingfeng Meng ◽  
Rongfang Zhao ◽  
Fei Li ◽  
Xinping Chen ◽  
...  

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