Systems approaches to improve nitrogen management in rice

Author(s):  
B. Mishra
1971 ◽  
Author(s):  
Frank Baker ◽  
Nolan Penn ◽  
Dwight Harshbarger ◽  
Henry Wechsler ◽  
Denise Thum ◽  
...  
Keyword(s):  

2011 ◽  
Vol 37 (1) ◽  
pp. 152-157 ◽  
Author(s):  
You-Liang YE ◽  
Yu-Fang HUANG ◽  
Chun-Sheng LIU ◽  
Ri-Tao QU ◽  
Hai-Yan SONG ◽  
...  

2010 ◽  
Vol 36 (2) ◽  
pp. 224-228
Author(s):  
Jian-wei PENG ◽  
Zhe-li DING ◽  
Qiang LIU ◽  
Xiang-min RONG ◽  
Chang TIAN ◽  
...  

1992 ◽  
Vol 2 (1) ◽  
pp. 121-125 ◽  
Author(s):  
George J. Hochmuth

Efficient N management practices usually involve many potential strategies, but always involve choosing the correct amount of N and the coupling of N management to efficient water management. Nitrogen management strategies are integral parts of improved production practices recommended by land-grant universities such as the Institute of Food and Agricultural Sciences, Univ. of Florida. This paper, which draws heavily on research and experience in Florida, outlines the concepts and technologies for managing vegetable N fertilization to minimize negative impacts on the environment.


2008 ◽  
Vol 100 (2) ◽  
pp. 406 ◽  
Author(s):  
B. N. Otteson ◽  
M. Mergoum ◽  
J. K. Ransom ◽  
B. Schatz

2017 ◽  
Vol 23 (32) ◽  
pp. 4773-4793 ◽  
Author(s):  
Nivedita Singh ◽  
Sherry Freiesleben ◽  
Olaf Wolkenhauer ◽  
Yogeshwer Shukla ◽  
Shailendra K. Gupta

The identification and validation of novel drug–target combinations are key steps in the drug discovery processes. Cancer is a complex disease that involves several genetic and environmental factors. High-throughput omics technologies are now widely available, however the integration of multi-omics data to identify viable anticancer drug-target combinations, that allow for a better clinical outcome when considering the efficacy-toxicity spectrum, is challenging. This review article provides an overview of systems approaches which help to integrate a broad spectrum of technologies and data. We focus on network approaches and investigate anticancer mechanism and biological targets of resveratrol using reverse pharmacophore mapping as an in-depth case study. The results of this case study demonstrate the use of systems approaches for a better understanding of the behavior of small molecule inhibitors in receptor binding sites. The presented network analysis approach helps in formulating hypotheses and provides mechanistic insights of resveratrol in neoplastic transformations.


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