scholarly journals Determination of Critical Nitrogen Dilution Curve Based on Stem Dry Matter in Rice

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e104540 ◽  
Author(s):  
Syed Tahir Ata-Ul-Karim ◽  
Xia Yao ◽  
Xiaojun Liu ◽  
Weixing Cao ◽  
Yan Zhu
2010 ◽  
Vol 102 (1) ◽  
pp. 241-250 ◽  
Author(s):  
Noura Ziadi ◽  
Gilles Bélanger ◽  
Annie Claessens ◽  
Louis Lefebvre ◽  
Athyna N. Cambouris ◽  
...  

2014 ◽  
Vol 167 ◽  
pp. 76-85 ◽  
Author(s):  
Syed Tahir Ata-Ul-Karim ◽  
Yan Zhu ◽  
Xia Yao ◽  
Weixing Cao

2014 ◽  
Vol 159 ◽  
pp. 33-42 ◽  
Author(s):  
Xia Yao ◽  
Ben Zhao ◽  
Yong Chao Tian ◽  
Xiao Jun Liu ◽  
Jun Ni ◽  
...  

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

2018 ◽  
Vol 7 (2) ◽  
pp. 239-244 ◽  
Author(s):  
Eli Shlevin ◽  
Arkadi Zilberman ◽  
Jiftah Ben-Asher

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

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 ◽  
...  

2020 ◽  
Vol 51 (17) ◽  
pp. 2244-2256
Author(s):  
Arash Ranjbar ◽  
Ali Rahimikhoob ◽  
Hamed Ebrahimian ◽  
Maryam Varavipour

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